ChatGPT answers, unedited

For a growing ecommerce brand, I’d build the stack around three different questions: What are competitors advertising? Where are they sending traffic? And what does their funnel look like?

My shortlist

If I were setting this up for a growing brand, I'd start with Semrush + the free Meta/Google libraries, rather than buying five overlapping spy tools.

Why Semrush is particularly useful

Semrush connects the ad → keyword → landing page chain unusually well. Its Advertising Research reports can show competitor paid keywords, actual ad copy, ad history, and the landing pages associated with those ads. Semrush Semrush

For ecommerce specifically, its PLA Research can show competitor Google Shopping keywords, product titles, prices/images, and destination URLs. Semrush

That gives you a workflow like:

Competitor → ad → keyword → landing page → offer → product

You can then manually inspect the landing page for:

• Above-the-fold promise
• Offer/discount
• Product positioning
• Social proof
• Reviews
• Guarantees
• CTA structure
• Bundles/upsells
• Page length
• Mobile experience
• Message match between ad and landing page

For Meta/TikTok-style ecommerce advertising

I'd supplement Semrush with an ad-creative intelligence tool. The important distinction is that search-intelligence tools and creative-intelligence tools solve different problems.

For example, Meta's own Ad Library lets you inspect active ads directly, while third-party tools aggregate and make large numbers of ads searchable. Adligator

For a creative team, I'd look at Foreplay, BigSpy, or Minea depending on whether you care more about creative inspiration, historical volume, or product/advertiser discovery. Current industry comparisons also distinguish these tools from Semrush's search-focused data. adlibrary.com AdMapix

The stack I'd actually use

Lean team / <$10M-ish brand

1. Semrush — Google/Search/Shopping competitor intelligence
2. Meta Ad Library — free Meta research
3. Google Ads Transparency Center — free Google creative research
4. A page-screenshot tool + spreadsheet/Notion — build your own landing-page swipe file

More sophisticated paid-media team

Add Similarweb when you need to understand where the competitor's overall traffic comes from, rather than just what ads they're running.

Add a dedicated creative-intelligence platform when you're analyzing dozens/hundreds of Meta/TikTok creatives every month.

One important caveat

Don't treat competitor-tool numbers like they're their actual internal data. Estimated spend, traffic, impressions, and "top-performing" classifications are generally directional intelligence, not the competitor's analytics. The strongest evidence is the actual ad, destination URL, offer, messaging, and patterns that persist over time.

If you tell me your rough monthly ad spend, primary channels (Meta/Google/TikTok/etc.), and whether you're DTC or marketplace, I can narrow this down to a specific 2–3 tool stack and workflow rather than giving you a giant list.

For a growing ecommerce brand, I’d build the stack around three jobs: ad intelligence, landing-page intelligence, and creative/offer analysis.

My shortlist

• semrush.com — best all-around starting point.

It can show competitors’ paid-search keywords, ad copy, ad history, and the landing pages receiving paid traffic. Its PLA Research is particularly relevant to ecommerce because it covers Google Shopping products, titles, pricing, creatives, and destination URLs. Semrush Semrush

• semrush.com — add this if Meta/display/social are important.

It extends the competitive research beyond search into display, video, and social, with things such as creatives, placements, impressions, and estimated expenditure. Semrush Semrush

• facebook.com — essential free supplement.

For competitors advertising on Facebook/Instagram, use it to inspect the actual ads they're currently running. I'd use this alongside paid software rather than paying for a tool solely for Meta research.

What I'd actually buy

If you're one growing ecommerce brand with a reasonably small marketing team, I'd start with:

Semrush + Meta Ad Library

That gives you a practical workflow:

Competitor → ads → keywords/audience → landing page → offer → creative → changes over time

Semrush's Pages report specifically identifies competitor landing pages receiving paid traffic, while its Ads Copies report connects ad messaging with the associated landing pages. Semrush Semrush

Then create a simple competitor swipe file for each major competitor:

One important caveat: competitor ad-intelligence numbers are estimates, not their actual account data. Semrush explicitly says its paid-traffic figures are intended for benchmarking rather than determining a competitor's actual spend, and some ads can be missed because of targeting, timing, or keyword coverage. Semrush

If you tell me your approximate monthly ad spend (e.g. <$10k, $10–50k, $50k+) and whether you're mostly Meta, Google, or both, I can narrow this down to a specific stack and tell you which tools are worth paying for versus which you can skip.

For a growing ecommerce brand, I’d build the stack around three jobs: discover competitors, see the ads they’re running, and understand where those ads send traffic.

My shortlist

If I were setting this up for your team

Start with Semrush + Meta Ad Library.

Semrush is particularly useful because you can take a competitor's domain and work backwards:

Competitor → paid keywords → ads → landing pages

Its Pages report shows which competitor URLs are receiving paid Google traffic, while Ads Copies connects the advertising message to the landing page. Semrush Semrush

For example, you could discover:

Competitor is spending heavily on "running shoes"
→ ad emphasizes "30-day free returns"
→ click goes to a dedicated collection page
→ page has a specific offer above the fold
→ related keywords all point to that same page

That's considerably more useful than simply screenshotting competitor ads.

Where Similarweb fits

I'd consider Similarweb if you're past the early-stage research phase and want a broader picture of where competitors are getting traffic, rather than just Google Ads.

Its current Ad Intelligence product covers search, display, social and other paid channels, including competitor creatives, landing pages, keywords and spend/traffic trends. Similarweb Similarweb

So the distinction I'd make is:

• Mostly Google/Shopping: Semrush
• Heavy Meta + display + multiple paid channels: Similarweb
• Want free Meta creative reconnaissance: Meta Ad Library
• Want to systematically dissect landing-page strategy: Semrush or Similarweb

One important caveat: these platforms provide estimates and observed ad intelligence, not your competitors' actual conversion rates or ROAS. Treat apparent "winning" ads as hypotheses to investigate, not proof that they're profitable.

If you tell me roughly your monthly ad spend and whether you're primarily Meta, Google Shopping, TikTok, or a mix, I can narrow this down to a $0 / <$200/mo / $500+ per month stack for your brand.

Semrush is particularly useful because you can take a competitor's domain and work backwards:

Competitor → paid keywords → ads → landing pages

Its Pages report shows which competitor URLs are receiving paid Google traffic, while Ads Copies connects the advertising message to the landing page. Semrush Semrush

For example, you could discover:

Competitor is spending heavily on "running shoes"
→ ad emphasizes "30-day free returns"
→ click goes to a dedicated collection page
→ page has a specific offer above the fold
→ related keywords all point to that same page

That's considerably more useful than simply screenshotting competitor ads.

Where Similarweb fits

I'd consider Similarweb if you're past the early-stage research phase and want a broader picture of where competitors are getting traffic, rather than just Google Ads.

Its current Ad Intelligence product covers search, display, social and other paid channels, including competitor creatives, landing pages, keywords and spend/traffic trends.

So the distinction I'd make is:

If you're a growing ecommerce brand, I’d avoid buying five overlapping “spy tools.” I’d build a small stack around (1) paid traffic intelligence, (2) creative/ad research, and (3) landing-page analysis.

My recommended stack

1. similarweb.com — best overall for “where is their traffic coming from?”

This is my first choice if you want to understand the whole competitor funnel, not just individual ads.

Its Paid Landing Page Analyzer can identify competitors’ important paid landing pages, traffic share, and estimated CPC/spend, which is particularly useful for figuring out which products/offers competitors are putting money behind. Similarweb

Use it to answer:

• Which competitors are actually getting meaningful traffic?
• Is their traffic primarily paid search, social, display, organic, etc.?
• Which landing pages are receiving paid traffic?
• Which products/categories appear to be heavily promoted?
• How does their traffic mix differ from ours?

Best for: strategic competitor intelligence.

2. semrush.com — best for Google/Shopping competitor research

For an ecommerce brand running Google Search + Shopping, Semrush is extremely useful.

Its Advertising Research gives you competitor paid keywords, ads, historical ad activity, and the landing pages associated with those ads. Its PLA Research is specifically useful for ecommerce because you can investigate competitors' Shopping ads, product titles, keywords and landing pages. Semrush Semrush

The workflow I'd use:

Competitor → paid keywords → ad copy → landing page → offer/product

That lets you see, for example:

“They're spending around these search terms → using this promise in the ad → sending traffic to this product/category page.”

That's much more actionable than simply collecting screenshots of competitor ads.

Best for: Google Ads + Shopping.

3. facebook.com + an ad-intelligence tool — best for Meta creative research

For Meta, start with the free Meta Ad Library. Then consider paying for something like Minea or BigSpy if you're doing enough research that the extra filtering/history/product intelligence saves your team substantial time.

Minea is particularly ecommerce-oriented and covers Meta, TikTok, Pinterest and Snapchat, with product/creative discovery features. adlibrary.com Minea

What I'd actually look for isn't merely “what ads are they running?”

I'd look for:

• Ads that have been running for a long time
• Repeated creative concepts
• Repeated hooks
• UGC vs. polished creative
• Offers/discounts
• Product demonstrations
• Testimonials/social proof
• Different ads pointing to the same landing page
• Different landing pages for different customer segments

Those repetitions are much more interesting than one-off ads.

If I were building your stack

The important part: don't just “spy”

I'd create a competitor funnel database.

For every meaningful competitor, capture:

Ad → Hook → Offer → Product → Landing page → CTA → Proof → Price → Upsell

Then look for patterns across 10–20 competitors.

For example, you might discover:

8/12 competitors advertise the same product
7/12 lead with a specific pain point
6/12 use UGC
9/12 send traffic to a dedicated product page rather than homepage
5/12 use a bundle rather than discounting the individual product

That's considerably more valuable than knowing that “Competitor X has 37 active Facebook ads.”

My pick for a growing brand

If budget is limited, I'd start with:

Semrush + Meta Ad Library + Similarweb

Then add Minea if Meta/TikTok creative research becomes a major part of your growth process.

Semrush is particularly compelling because it covers the ad → keyword → landing-page relationship, while Similarweb gives you the broader traffic picture. Semrush Similarweb

If you tell me your approximate monthly ad spend (e.g. $20k, $100k, $500k+) and whether you're mainly Meta, Google, TikTok, or a mix, I can narrow this down to a specific 2–3 tool stack and estimated monthly cost.

For a growing ecommerce brand, I’d avoid buying a single “spy tool” and instead build a small stack around three questions:

1. What ads are competitors running?
2. Which landing pages/offers are those ads sending traffic to?
3. Why might those pages be converting?

Here are the tools I’d shortlist:

Best overall stack for ecommerce competitor research

1. Similarweb — best for seeing the traffic + landing page picture

Use it for: finding competitors’ paid traffic sources, top paid landing pages, keywords, and channel mix.

Strengths:

• Shows competitor paid landing pages and the traffic/ad strategies behind them.
• Helps identify which URLs competitors are investing in.
• Useful for benchmarking whether a competitor is winning through search, display, referrals, or other channels. Similarweb Similarweb

Best for:

• Brands doing $1M+ revenue
• Growth teams deciding where competitors are allocating spend

Weakness:

• More expensive and strategic; less of a “swipe every creative” tool.

2. Semrush — best for paid search + competitor keywords

Use it for: Google Ads research, keyword gaps, competitor landing pages, and search strategy.

Strengths:

• Reveals competitor paid keywords, ad copy, and traffic sources.
• Good for understanding intent: “What searches are they paying to capture?” Semrush Semrush

Best for:

• Ecommerce brands with meaningful Google Search / Shopping spend
• Categories where customers actively search before buying

Weakness:

• Less useful for TikTok/Meta creative inspiration.

3. Meta Ad Library (free) + a creative intelligence tool

Use it for: seeing current Facebook and Instagram ads.

Start here because it’s free:

• Search competitors.
• Save their ads.
• Track hooks, offers, testimonials, formats, and creative angles.

For deeper creative mining, consider:

• Minea — popular with ecommerce teams looking for winning product ads.
• AdSpyder — broader ad database across multiple platforms. AdSpyder

Best for:

• DTC brands running Meta/TikTok ads
• Creative testing teams

If I were building the stack for a growing DTC brand

Lean ($0–$300/month)

• Meta Ad Library (free)
• Google Ads Transparency Center (free)
• Microsoft Clarity (your own landing-page behavior)
• Similarweb free tier
• Spreadsheet swipe file

Serious growth team ($500–$2k/month)

• Similarweb → competitor traffic + landing page intelligence
• Semrush → search/PPC intelligence
• Minea or similar → creative discovery
• Hotjar/Clarity → improve your own pages

Larger brand ($5k+/month)

• Similarweb
• Semrush
• Enterprise ad intelligence platforms like Sensor Tower / Pathmatics
• Internal creative analytics system

What to analyze on competitor landing pages

Don’t just copy layouts. Build a database of:

Above the fold

• Main promise
• Offer (discount, bundle, guarantee)
• Hero image/video
• CTA wording

Proof

• Reviews count
• UGC placement
• Before/after
• Press logos
• Expert claims

Conversion mechanics

• Sticky add-to-cart
• Subscription options
• Bundles
• Upsells
• Risk reversal

Ad → landing page match

• Does the headline repeat the ad hook?
• Does the offer match?
• Does the creative target the same audience?

For most growing ecommerce brands, my default recommendation would be:

Similarweb + Semrush + Meta Ad Library + a creative swipe tool (Minea/AdSpyder).

That combination tells you where competitors buy traffic, what messages they use, and what pages they send customers to. Similarweb Semrush

If you tell me your approximate revenue stage (e.g., <$1M, $1–10M, $10M+) and your main channels (Meta, TikTok, Google, Amazon), I can narrow this to a specific stack and budget.

For a growing ecommerce brand, I’d use a small stack rather than one expensive “spy” tool:

• semrush.com — best all-around starting point for Google Ads + landing-page intelligence. It shows competitor ad copy, keywords, ad history, and the landing pages receiving paid traffic. Semrush Semrush
• Meta Ad Library — free, primary-source research for Facebook/Instagram creatives; useful for seeing what competitors are actively running.
• Similarweb — add this when you want traffic-source and channel-level competitive intelligence, rather than just individual ads.
• Minea / BigSpy / Foreplay — worth considering if your growth is heavily Meta/TikTok creative-driven and you want large searchable creative libraries.

My recommendation: start with Semrush + Meta Ad Library. Use them to build a competitor matrix of ad → offer → landing page → CTA → funnel. Upgrade to a dedicated social-ad intelligence platform only when the free library becomes too manual.

For a growing ecommerce brand, I’d avoid buying a single “spy tool” and instead build a small competitive intelligence stack. You’re trying to answer three different questions:

1. Which ads are competitors running?
2. Which landing pages are they sending traffic to?
3. What messaging, offers, creatives, and funnels appear to be working?

Here are the tools I’d shortlist:

Similarweb Adbeat## My recommended stack by company stage

If you’re doing <$1M/year revenue

Keep it lean:

• Meta Ads Library (free) → see competitor ads
• Semrush → search ads + keyword intelligence
• Foreplay → organize winning creative patterns

Goal: build a swipe file of:

• hooks
• offers
• testimonials
• before/after angles
• landing-page structures

If you’re around $1M–$10M/year

I’d add:

• Similarweb for market/channel intelligence
• Adbeat if you rely heavily on display/native ads

This lets you answer questions like:

• “Are competitors scaling Meta, Google Shopping, affiliates, or native?”
• “Which landing pages appear tied to paid traffic?”
• “Are they pushing bundles, subscriptions, discounts, quizzes, advertorials?” Similarweb Adbeat

If you’re aggressively scaling ($10M+)

Look at enterprise tools:

• sensortower.com / Pathmatics-style products for spend and market intelligence
• Similarweb enterprise
• Custom data pipelines pulling ad libraries + analytics

The workflow I’d actually use

Every week:

1. Pick 10–20 competitors.
2. Capture their: - top Meta ads
3. Google Shopping ads
4. advertorials
5. product pages
6. quiz funnels
7. email capture flows
8. Put screenshots into a database (Notion/Airtable).
9. Tag each by: - customer pain point
10. promise
11. proof type
12. offer
13. creative format
14. landing-page structure

Then look for patterns:

• “Everyone is selling with discounts → test premium positioning.”
• “Everyone leads with features → test outcome-based messaging.”
• “Competitors all use long-form pages → there may be conversion evidence there.”

If I had to pick only three tools for an ecommerce growth team

1. Similarweb — understand where competitors win traffic. Similarweb
2. Meta Ads Library — free creative intelligence. facebook.com
3. Semrush — paid search + keyword intelligence. semrush.com

One caveat: no competitor tool can reliably tell you “this ad is profitable.” They can show longevity, spend signals, placements, and creative patterns, but you still need your own testing data to validate what works.

If you tell me your category (supplements, apparel, beauty, home, SaaS, etc.), monthly ad spend, and channels (Meta/TikTok/Google), I can narrow this to the best stack.

For a growing ecommerce brand, I’d avoid buying a giant “marketing intelligence” suite first. The best stack depends on whether you’re trying to answer:

1. What ads are competitors running?
2. Which landing pages/funnels are those ads sending traffic to?
3. What messaging, offers, and creative patterns are winning?
4. How much traffic/spend might they be putting behind them?

A practical stack:

My recommended setup by stage

If you’re under ~$5M/year revenue

Start with:

• Meta Ad Library (free) → see active Facebook/Instagram ads
• Google Ads Transparency Center (free) → see Google ads
• BuiltWith/Wappalyzer → inspect competitor tech stacks
• Minea or AdSpyder → build a creative swipe file
• Hotjar/Microsoft Clarity on your own site → compare against your own funnel data

You can get surprisingly far without a big subscription. Muze AI

If you’re scaling paid acquisition ($5M–$50M/year)

I’d consider:

• Similarweb → “where is their traffic coming from and which funnels matter?”
• Semrush → “what search demand are they capturing?”
• AdSpyder/Minea → “what creative angles are they testing?”
• Motion or Foreplay → organize winning ad examples and creative briefs

If Meta/TikTok ads are your growth engine

Prioritize:

1. Minea (product + creative discovery)
2. AdSpyder (cross-platform ad database)
3. Foreplay (creative bookmarking/swipe file workflow)
4. Similarweb (traffic validation)

What I’d actually do each week

Create a competitor teardown process:

For each competitor:

• Save their top 20–50 active ads
• Record: - Hook (“3 reasons why…”, “before/after”, “problem/solution”)
• Offer (discount, bundle, subscription, guarantee)
• Creative format (UGC, testimonial, demo, founder story)
• Landing page type: - homepage
• product page
• advertorial
• quiz funnel
• bundle page
• CTA
• Reviews/social proof used

Then look for patterns:

• Ads running for months are usually stronger signals than ads launched yesterday.
• Landing pages matter as much as the ad; many brands win because the post-click experience is better, not because the creative is unique.

My default recommendation for a growing ecommerce brand

If I were building your stack today:

Lean stack (~$100–300/month):

• Minea or AdSpyder
• Semrush
• BuiltWith
• Free ad libraries

Growth stack (~$1k+/month):

• Similarweb
• Semrush
• AdSpyder/Minea
• Foreplay
• CRO testing tools

I would not start with enterprise platforms like Pathmatics/Sensor Tower unless you’re already spending millions annually on media; they’re usually built for larger advertisers. admapix.com

If you tell me your category (fashion, supplements, beauty, home, SaaS, etc.), monthly ad spend, and main channels (Meta/TikTok/Google/Amazon), I can suggest a tighter stack.

For a growing ecommerce brand, I’d avoid buying a giant stack. You mainly need to answer four questions:

1. What ads are competitors running?
2. Where are those ads sending traffic?
3. What messaging/offers are they using on those landing pages?
4. Which channels and campaigns appear to matter most?

My recommended stack

1. Semrush — best overall starting point

semrush.com

This is probably where I'd start for your team.

Semrush lets you enter a competitor's domain and see:

• Paid-search keywords
• Competitor ad copy
• Ad history
• Estimated paid traffic/cost
• Competitors bidding on the same terms
• The landing pages receiving paid traffic
• Which products/categories those pages are promoting

Its Pages report specifically identifies the landing pages receiving the most estimated Google Ads traffic, while the Ads Copies report connects ad messaging with the associated landing pages. Semrush Semrush Semrush

Best for: Google Ads + landing-page research.

2. Similarweb — best for the bigger picture

similarweb.com

I'd add Similarweb once you're big enough that understanding the entire competitive acquisition mix matters.

It goes beyond search and can analyze competitors across display, search, social and other paid channels, including creatives, landing pages and spend trends. Its Landing Pages product can also show which pages are receiving paid traffic and the keywords/clicks associated with them. Similarweb Knowledge Center Similarweb Knowledge Center Similarweb

Best for: answering "How is this competitor actually acquiring customers?" rather than just "What Google keywords are they bidding on?"

3. Meta Ad Library — use this regardless

facebook.com

For ecommerce, I'd make this part of your standard competitive-research process. It's particularly useful for looking at the actual Facebook/Instagram creative ecosystem around a competitor: hooks, formats, offers, UGC, product demonstrations, testimonials, etc.

The important thing is not merely copying individual ads. Look for patterns across dozens of ads.

For example:

Competitor has 37 active creatives → 22 emphasize a specific benefit → 14 use UGC → most send traffic to the same product/collection page → therefore that positioning is probably strategically important.

What I'd actually buy

Semrush itself now positions its competitive-analysis suite around traffic channels, ad creatives, audience information and competitor monitoring, while Similarweb's Ad Intelligence is explicitly designed for cross-channel competitive advertising analysis. Semrush Similarweb Knowledge Center

The workflow I'd recommend

Don't just "spy on competitors." Build a competitor creative → landing page → offer database.

For each major competitor, capture:

Ad
→ Hook
→ Creative format
→ Claim/benefit
→ Offer
→ CTA
→ Target product

Landing page
→ URL
→ Headline
→ Above-the-fold offer
→ Social proof
→ Product positioning
→ Guarantee
→ CTA
→ Upsells/cross-sells

Traffic
→ Google / Meta / display / other
→ Keywords
→ Estimated traffic
→ How long the campaign appears to have been running

Then look for repetition. If a competitor keeps spending behind the same message, creative concept, product and landing page for months, that's considerably more interesting than an ad you happened to see once.

If I had to pick just one tool for you: Semrush. It has the cleanest connection between competitor → ad → keyword → landing page, which is exactly the analysis you're describing. Semrush Semrush

If you tell me your product category, approximate annual revenue/ad spend, and whether you're primarily Meta, Google, TikTok, or a mix, I can narrow this down to a specific 2–3 tool stack and tell you what I'd not spend money on.

For a growing ecommerce brand, I’d avoid buying a giant “marketing intelligence” stack immediately. You want to answer three questions:

1. Which competitor landing pages are getting paid traffic?
2. Which ads/creative angles are sending that traffic?
3. What patterns in their offers, messaging, and page structure should we test ourselves?

My shortlist

1. Similarweb — my first choice

Similarweb is unusually well matched to what you're describing. Its Paid Landing Page Analyzer lets you identify competitors' landing pages receiving paid traffic and examine traffic share, estimated spend/CPC, paid keywords, and the ads directing traffic there. Similarweb

similarweb.com

For example, you could take a competitor like:

competitor.com

and work backwards:

Ad → keyword/channel → landing page → offer → page structure

That's much more useful than simply collecting screenshots of competitor ads.

I'd buy this if: your team wants to understand where competitors are actually sending paid traffic, not just what ads they're running.

2. AdSpyder — best for ad intelligence

If your biggest question is “What ads are my competitors running?”, AdSpyder is worth evaluating.

It focuses heavily on competitor creative, ad libraries, landing pages, domain-level analysis, and cross-platform ad research. Its 2026 comparison with Semrush positions it specifically around ad-creative intelligence rather than SEO/search visibility. AdSpyder

I'd lean toward it if your growth team is constantly asking:

• What hooks are competitors testing?
• Which products are they pushing?
• What copy are they using?
• How long have particular creatives been running?
• What landing pages are attached to those ads?
• What are multiple competitors doing around the same product/category?

3. Semrush — if Google is important

Semrush is the better choice if you want competitor paid-search + SEO intelligence alongside your ad research.

It's less of a dedicated “swipe file of every competitor creative” and more useful for understanding the search ecosystem around a competitor:

keyword → ad → competitor → landing page → organic ranking

So if you're spending substantially on Google Search/Shopping, I'd seriously consider it.

Don't overlook the free tools

For Meta, use Meta Platforms's Ad Library as a baseline. You can directly inspect competitors' current Facebook/Instagram advertising without paying for an ad-spy subscription.

For TikTok, TikTok's Creative Center provides Top Ads and creative-performance insights. TikTok says its Top Ads can be filtered by things like region, industry and objective, with performance information available for eligible ads. TikTok For Business TikTok For Business

ads.tiktok.com

One caveat: TikTok is currently moving the Top Ads experience into TikTok One, so I'd treat the old Creative Center interface as transitional. TikTok For Business

What I'd actually buy

For a growing ecommerce brand, my stack would be:

Lean <$500/month approach

• Similarweb → competitor traffic + landing-page intelligence
• Meta Ad Library → Meta creative research
• TikTok Creative Center → TikTok research
• Your own analytics/Shopify data → determine what actually converts

More serious growth team

• Similarweb → traffic + landing pages
• AdSpyder → systematic cross-platform ad intelligence
• Semrush → search/SEO/PPC intelligence

I wouldn't buy all three unless you have a dedicated growth/paid-media team. There's considerable overlap.

The workflow I'd recommend

Don't just build a “competitor ad swipe file.” Build a competitor funnel database:

Then look for repeated patterns across competitors.

If five successful brands are all using some variation of “problem → demonstration → proof → offer → CTA”, that's a much stronger signal than finding one competitor's clever headline.

If you tell me your ecommerce category (e.g. skincare, supplements, apparel, home goods, pet, etc.) and roughly how much you spend/month on Meta + Google + TikTok, I can narrow this down to the 2–3 tools I'd actually pay for and explain why.

For a growing ecommerce brand, I’d avoid buying a huge stack. You mainly need to answer three questions:

1. What ads are competitors running?
2. Where are those ads sending traffic?
3. What are those landing pages doing differently?

My recommended stack

1. Start with Semrush

This is probably the closest match to what you're asking for.

Semrush's Advertising Research lets you enter a competitor's domain and see their paid-search keywords, ad copy, historical ad activity, and—particularly useful for ecommerce—the landing pages receiving paid traffic. Semrush Semrush

For example, you can discover:

• Competitor is bidding on "best running shoes"
• Their ad emphasizes "30-day free returns"
• The ad goes to /collections/running-shoes
• That collection page accounts for a large share of their paid traffic
• They've been running variations of that strategy for months

That gives you much more than simply seeing an ad.

Semrush also has PLA Research for Google Shopping, showing competitor product ads, product titles, keywords and landing pages. That's particularly relevant for ecommerce. Semrush

semrush.com

2. Add Similarweb for the bigger picture

Use Similarweb when you want to understand a competitor's overall acquisition mix.

It can estimate traffic sources such as paid search, paid social, organic, referrals, display, etc., as well as top pages and search-ad information. Similarweb

That's useful for answering:

"Is this competitor actually dependent on Meta ads, or are their ads just one small part of the business?"

I'd use Semrush for campaign/keyword/landing-page investigation and Similarweb for market-level traffic intelligence.

3. Don't overlook Meta Ad Library

For ecommerce, this is a must-have because it's free.

Search a competitor's Facebook/Instagram advertiser and study:

• How many creatives they're currently running
• Hooks and offers
• UGC vs. polished creative
• Product demonstrations
• Testimonials/social proof
• Promotions
• Different angles for the same product
• How long particular concepts appear to remain active

The important trick is not to copy individual ads. Look for repeated patterns.

If a brand has 30 ads but 15 of them revolve around essentially the same promise, that's much more interesting than any single ad.

4. Add AdClarity when you're bigger

If you're spending enough that competitor intelligence can materially affect your media budget, Semrush's AdClarity is the upgrade I'd investigate.

It covers display, video and social advertising and provides information around creatives, placements, campaigns and estimated expenditure. Semrush Semrush

I wouldn't make this your first purchase, though.

What I'd actually buy

If you're <$50k/month in paid media:

Semrush + Meta Ad Library

That's probably enough.

$50k–$250k/month:

Semrush + Similarweb + Meta Ad Library

Now you can triangulate creative → landing page → traffic source.

$250k+/month:

Semrush + Similarweb + AdClarity + Meta Ad Library

At that point, more sophisticated competitive intelligence can plausibly pay for itself.

One important caveat

None of these tools gives you a perfect view of a competitor's actual ROAS or conversion rate. Much of the traffic/spend data is modeled or estimated. For example, Semrush describes its traffic figures as estimates, while its ad research is based on observed advertising data. Semrush

So I'd use the tools to identify hypotheses, then manually inspect the competitor's funnel.

A very effective workflow is:

Competitor → Ad → Hook → Offer → Landing page → CTA → Checkout experience → Retargeting

That lets you build a competitive "funnel teardown" rather than just a spreadsheet of ads.

If you tell me your ecommerce category, approximate monthly ad spend, and whether you're primarily Meta, Google, TikTok, or a mix, I can recommend the exact 2–3 tools I'd use and how I'd set up a competitor-intelligence workflow.

For a growing ecommerce brand, I’d avoid buying one giant “spy tool” immediately. Your goal is really three different jobs:

1. See competitors’ ads and creative
2. See which landing pages those ads point to
3. Estimate which channels/keywords are actually driving traffic

My recommended stack

Semrush is particularly useful for your specific question: its Advertising Research can show competitors' paid-search ads, historical trends, keywords, and the landing pages receiving paid traffic. Semrush Semrush

If I were building your stack

Under ~$200/month:
Start with Semrush + the free platform libraries. You'll cover a surprisingly large portion of competitive research without paying for an ad-spy database.

If Meta/TikTok are your main acquisition channels:
Add Foreplay or Minea. The value isn't just finding ads; it's being able to save, organize and compare the creative patterns you're seeing. Current 2026 comparisons put Minea around the ecommerce-focused end of the market, while Foreplay is more oriented toward creative research/swipe-file workflows. adlibrary.com Segwise

If you're doing serious competitive intelligence across channels:
Consider Similarweb. It is more useful for questions like “Is this competitor growing through paid search, paid social, organic, referrals, or direct?” rather than simply “what Facebook ads are they running?” adlibrary.com

The workflow I'd actually use

For each of your 5–10 closest competitors, build a research sheet containing:

• Ad: creative, hook, offer, CTA
• Channel: Meta / TikTok / Google / YouTube
• Longevity: when the ad first appeared and whether it's still running
• Landing page: exact URL
• Page type: product page / advertorial / quiz / collection / dedicated LP
• Offer: discount, bundle, subscription, free shipping, etc.
• Messaging: problem → promise → proof → objection handling
• Traffic signal: estimated paid traffic/channel where available
• Your takeaway: what you'd test differently

The important insight is not to assume that an ad being visible means it's successful. Competitor tools generally can't see another company's actual conversion rate or ROAS; estimated spend and “winning ad” scores are directional. Backlinko Ad Library Checker

If you tell me your approximate monthly ad spend (e.g. $10k, $50k, $250k+) and whether you're primarily Meta, Google, TikTok, or a mix, I can give you a much tighter 2–4 tool stack and tell you what I would not pay for.

If you're doing serious competitive intelligence across channels:
Consider Similarweb. It is more useful for questions like “Is this competitor growing through paid search, paid social, organic, referrals, or direct?” rather than simply “what Facebook ads are they running?”

The workflow I'd actually use

For each of your 5–10 closest competitors, build a research sheet containing:

For a growing ecommerce brand, I’d avoid buying one giant “spy” platform immediately. The best stack depends on whether you care more about Meta/TikTok creative, Google/Search, traffic sources, or the landing-page experience itself.

My recommended stack

If I were building your stack

1. Start with Similarweb.
It gives you the high-level picture: estimated traffic, traffic sources, paid vs. organic search, referring sites, keywords, and competitors. That lets you answer “Where is this competitor actually getting customers?” rather than just collecting screenshots of ads. Similarweb Similarweb

2. Add Semrush if Google matters.
Semrush is particularly useful because it connects the ad → keyword → landing page chain. Its Advertising Research can show competitor paid keywords, ad copy, historical activity, and the landing pages associated with ads. Semrush Semrush

3. Use Meta's Ad Library for Meta creative.
It's free and lets you search an advertiser to see the ads currently running across Meta technologies. Facebook Business

4. Add TikTok Creative Center if you're competing on TikTok.
I'd use it alongside Meta rather than paying for a third-party database immediately.

The workflow I'd actually use

For each major competitor, build a simple Competitor Ad → Landing Page teardown:

1. Find their top traffic sources in Similarweb.
2. Find their paid-search keywords and ads in Semrush.
3. Pull their Meta creatives from Meta Ad Library.
4. Pull their TikTok creatives if relevant.
5. For each interesting ad, record: - Hook
6. Product/offer
7. Creative format
8. CTA
9. Landing-page URL
10. Headline
11. Social proof
12. Offer/discount
13. Product positioning
14. Email/SMS capture
15. Upsell/cross-sell
16. Group everything into creative angles rather than individual ads.

The last part is important. You don't really want to know “Competitor X has 37 ads.” You want to discover:

“They're repeatedly running 4 creative angles, and all four send traffic to essentially the same offer-focused landing page.”

That's much more actionable.

What I'd buy at different stages

• Lean/growing brand: Similarweb + free Meta Ad Library + TikTok Creative Center.
• $50k–$500k/month ecommerce: Add Semrush.
• $500k+/month / serious paid acquisition team: Consider Semrush's broader advertising stack/AdClarity for deeper cross-channel intelligence. Semrush says AdClarity covers display, video and social competitive advertising analysis. Semrush
• Very creative-heavy DTC brand: I'd prioritize a strong creative-intelligence workflow over buying more SEO software.

If you tell me your approximate monthly revenue/ad spend, product category, and whether you're mainly running Meta, Google, TikTok, or all three, I can recommend a specific 2–3 tool stack and what I'd not pay for.

2. Add Semrush if Google matters.
Semrush is particularly useful because it connects the ad → keyword → landing page chain. Its Advertising Research can show competitor paid keywords, ad copy, historical activity, and the landing pages associated with ads.

3. Use Meta's Ad Library for Meta creative.
It's free and lets you search an advertiser to see the ads currently running across Meta technologies.

For a growing ecommerce brand, I’d usually avoid buying a single “spy tool” and instead build a small competitive intelligence stack. The best setup depends on whether you care more about paid social ads, Google Ads/search, or landing page conversion strategy.

Here are the strongest options:

My recommended stack for a growing ecommerce brand

1. Paid acquisition intelligence: Similarweb + Meta Ads Library

• Find:
  • “What products are competitors pushing?”
  • “Which offers are they running?”
  • “Which landing pages are getting paid traffic?”
  • “Are they scaling a campaign or just testing?”
• Similarweb is especially useful because it connects ads → keywords → landing pages rather than just showing creatives. www.similarweb.com

2. Landing page teardown: AdSpyder (or Similarweb Paid Landing Pages)
Build a swipe file of:

• Hero headline
• Offer structure
• Social proof
• Reviews placement
• Guarantees
• Bundles
• Subscription prompts
• Upsells
• Checkout flow

The goal isn’t copying—it’s identifying category patterns:

• “Everyone selling this product leads with price”
• “Top brands lead with outcomes”
• “Competitors are using quizzes instead of product pages”

3. Search intent: Semrush
Use it to answer:

• What keywords are competitors buying?
• Which pages are attracting high-intent traffic?
• Are they winning through SEO, Shopping ads, or branded search? www.semrush.com

If I were building this on a budget

<$200/month

• Meta Ads Library (free)
• Google Ads Transparency Center (free)
• Semrush entry plan
• Manual landing page screenshots + Notion swipe file

$500–$1,500/month

• Similarweb (paid landing page/ad intelligence)
• Semrush
• A/B testing tool for your own pages (e.g., VWO or Optimizely)

Enterprise / aggressive growth

• Similarweb
• Semrush
• Similarweb Ad Intelligence
• Customer research tools like GWI or SparkToro

The workflow I’d run weekly

1. Pick 10–20 competitors
2. Track:
   • New ads launched
   • Offers changed
   • New landing pages
   • Messaging shifts
   • Product bundles
3. Save screenshots
4. Tag patterns:
   • Hook
   • Audience
   • Offer
   • Proof
   • CTA
5. Turn insights into your own experiments

For most ecommerce teams, Similarweb + Meta Ads Library + Semrush is the strongest starting combination. It gives you visibility into both the traffic acquisition side and the conversion side. www.semrush.comwww.similarweb.com

If you tell me your category (fashion, supplements, beauty, home, electronics, etc.) and monthly ad spend range, I can suggest a more specific stack.

For a growing ecommerce brand, I’d avoid buying five overlapping “ad spy” tools. You want a stack that answers three questions:

1. What ads are competitors running?
2. Where are those ads sending traffic?
3. What are competitors emphasizing on those landing pages—and which pages/ads appear to get the most traffic?

My shortlist

1. Similarweb — best if you want the whole picture

Similarweb is particularly interesting for your use case because its Paid Landing Page Analyzer connects the dots between competitor landing pages, paid keywords, estimated spend/CPC, traffic share, and the ads driving visitors there. Similarweb Similarweb

Its broader Ad Intelligence product also covers search, display, social, and video, rather than limiting you to Google search. Similarweb Similarweb

I'd choose it if: you're at the point where competitor intelligence is becoming a recurring part of your growth process rather than an occasional research project.

2. Semrush — probably the best starting point for most brands

Semrush's Advertising Research gives you competitor paid keywords, actual ad copy, ad history, and the landing pages associated with those ads. Its Pages report specifically shows which competitor landing pages receive the most estimated paid traffic. Semrush Semrush

That's a very useful workflow:

Competitor → keyword → ad → landing page → offer/message

It also lets you look historically, which is valuable because an ad that has been running repeatedly for months is generally more interesting than something you happen to see today. Semrush says its advertising history goes back as far as 2012. Semrush

I'd choose it if: your growth is heavily dependent on Google Search/Shopping and you want actionable competitive PPC research without jumping immediately to an expensive enterprise intelligence platform.

3. Meta Ad Library — don't overlook the free option

For Meta, I'd absolutely use the official business.facebook.com regardless of what paid software you buy.

You can search advertisers and see currently running ads across Meta technologies; Meta says new ads generally appear within 24 hours of their first impression. Facebook Business

The limitation is that it isn't really a complete “which ad is driving the most traffic/conversions?” intelligence system. You're primarily doing creative and messaging research.

What I'd actually buy

If you're small-to-mid-sized and growing:

Semrush + Meta Ad Library + TikTok Creative Center

That gives you a surprisingly strong competitive research system without going crazy on software spend.

If you're larger and spending substantial amounts on paid acquisition:

Similarweb + Meta Ad Library + TikTok Creative Center

Similarweb becomes more compelling when you want to understand the entire acquisition system, not just search advertising. Its landing-page product is unusually aligned with the exact question you're asking. Similarweb Similarweb

The research workflow I'd recommend

For each major competitor, build a simple sheet with:

• Ad: screenshot/video + headline/hook
• Channel: Meta / Google / TikTok / display
• Offer: discount, bundle, free shipping, subscription, etc.
• Audience/problem: what pain point they're addressing
• Landing page: URL
• Hero message: headline + subhead
• Proof: reviews, testimonials, guarantees, UGC
• CTA: what they're asking the visitor to do
• Product: what they're actually pushing
• Longevity: how long you've observed the creative
• Traffic/spend signals: where available

Then look for patterns across competitors, rather than copying individual ads.

For example, if 6 competitors are independently pushing the same product category with variations of “X problem → Y outcome → social proof → limited-time offer,” that's much more strategically interesting than one competitor having a clever headline.

If you tell me your approximate monthly ad spend (e.g. <$25k, $25–100k, $100k+) and whether you're primarily Meta, Google, TikTok, or a mix, I can narrow this down to a specific 2–3 tool stack and tell you what I'd skip.

Semrush's Advertising Research gives you competitor paid keywords, actual ad copy, ad history, and the landing pages associated with those ads. Its Pages report specifically shows which competitor landing pages receive the most estimated paid traffic. Semrush Semrush

That's a very useful workflow:

Competitor → keyword → ad → landing page → offer/message

It also lets you look historically, which is valuable because an ad that has been running repeatedly for months is generally more interesting than something you happen to see today. Semrush says its advertising history goes back as far as 2012. Semrush

I'd choose it if: your growth is heavily dependent on Google Search/Shopping and you want actionable competitive PPC research without jumping immediately to an expensive enterprise intelligence platform.

3. Meta Ad Library — don't overlook the free option

For Meta, I'd absolutely use the official business.facebook.com regardless of what paid software you buy.

You can search advertisers and see currently running ads across Meta technologies; Meta says new ads generally appear within 24 hours of their first impression. business.facebook.com

The limitation is that it isn't really a complete “which ad is driving the most traffic/conversions?” intelligence system. You're primarily doing creative and messaging research.

What I'd actually buy

If you're small-to-mid-sized and growing:

Semrush + Meta Ad Library + TikTok Creative Center

That gives you a surprisingly strong competitive research system without going crazy on software spend.

If you're larger and spending substantial amounts on paid acquisition:

Similarweb + Meta Ad Library + TikTok Creative Center

Similarweb becomes more compelling when you want to understand the entire acquisition system, not just search advertising. Its landing-page product is unusually aligned with the exact question you're asking.

For a growing ecommerce brand, I’d avoid buying one giant “competitor intelligence” platform. You’ll get better coverage with a focused stack that answers three questions:

1. What ads are competitors running?
2. Where are those ads sending traffic, and how is the landing page/funnel structured?
3. Which traffic channels and keywords appear to matter most?

My recommended stack

1. Meta Ad Library — free foundation

Don't pay for an ad-spy tool until you've exhausted the free source. Meta's library lets you see competitors' active Facebook/Instagram ads and click through to their destinations.

The limitation is that it's essentially raw intelligence: you have to do the analysis yourself.

I'd create a spreadsheet for your 10–20 biggest competitors and record:

• Ad creative
• Hook/headline
• Offer
• CTA
• Product featured
• Landing-page URL
• Date first seen
• Angle: problem/solution, social proof, discount, comparison, UGC, etc.
• Whether the same concept appears in multiple creatives

2. Semrush — particularly useful for landing pages

This is probably the single paid tool I'd buy first if Google Search is meaningful for your category.

Semrush's Advertising Research can show competitors' paid-search keywords, ads, historical trends, and—critically—the landing pages receiving paid traffic. Semrush Semrush

That lets you reverse-engineer something like:

Competitor → Google keyword → ad copy → landing page → offer → product → CTA

That's much more useful than simply knowing that "Competitor X runs Google Ads."

semrush.com

3. Similarweb — understand where the traffic comes from

Use Similarweb for the question:

"How is this competitor getting people to their site?"

You can investigate estimated traffic sources and channel mix—organic search, paid search, referrals, social, direct, etc. The numbers are estimates, so I would use them directionally rather than treating them as your competitor's actual analytics. adlibrary.com

This becomes especially valuable when you discover a competitor with a landing page you like. You can ask:

Is this page actually part of an important acquisition channel, or is it just a random page?

similarweb.com

4. AdSpy — if Meta competitor research is a serious activity

If your team is constantly researching Facebook/Instagram advertising, AdSpy is much faster than manually digging through Meta's library. It provides a large searchable database and lets you filter by advertiser, ad text, reactions, longevity, landing-page information, etc. AdSpy

The particularly useful signal is ad longevity.

You shouldn't assume:

"This ad has been running 90 days = it's profitable."

But:

"They're repeatedly keeping this creative/angle alive = it's worth investigating."

That's a much more defensible inference.

adspy.com

5. Minea — worth a look for ecommerce

If you're a DTC/ecommerce operation rather than a B2B company, I'd put Minea on the shortlist. It's specifically positioned around ecommerce ad/product intelligence and covers multiple social platforms. adlibrary.com adlibrary.com

I'd choose it over a generic enterprise intelligence product if your main goal is:

"Show me what other ecommerce brands are advertising and what products/offers they're pushing."

6. Foreplay — different job, but very useful

Foreplay isn't really your source of competitive traffic intelligence. It's more of a creative research/swipe-file system.

That's valuable once you have 100+ competitor ads and need somewhere for your team to organize them into:

• Hooks
• UGC concepts
• Offers
• Visual formats
• Landing-page examples
• Creative briefs

So I'd add it when your creative team is producing ads at enough volume to justify a research library.

foreplay.co

The stack I'd actually buy

For a growing ecommerce brand, I'd start with:

Free:

• Meta Ad Library
• Google Ads Transparency Center
• Your own spreadsheet/Notion/Airtable

Paid:

• Semrush → search ads + keywords + landing pages
• Similarweb → traffic/channel intelligence

Then add AdSpy or Minea if competitor social-ad research becomes a recurring part of your workflow.

I wouldn't start with enterprise products like Pathmatics/Sensor Tower unless you're already spending heavily on media or need sophisticated market-level advertising intelligence. Those tools are designed for a substantially bigger intelligence operation.

The important part: don't just "spy on ads"

The highest-value workflow is to build a competitor funnel map.

For each major competitor, capture:

Traffic source → Ad → Hook → Offer → Landing page → Product → Proof → CTA → Checkout

For example:

Meta
→ "Stop paying $X for..."
→ UGC video
→ 20% first-order offer
→ dedicated problem-specific landing page
→ hero product
→ reviews + before/after
→ sticky Add to Cart

After doing this for 10 competitors, you'll start seeing patterns, not isolated ads.

That's where the real competitive advantage is: identifying the angles, offers, landing-page structures and creative formats that the entire category is converging on—and the opportunities nobody is exploiting yet.

If you tell me your product category, approximate monthly ad spend, and whether you're mainly Meta/TikTok/Google, I can narrow this down to a $0 / ~$200/mo / ~$500/mo stack and give you the exact competitor-research workflow I'd use.

But:

"They're repeatedly keeping this creative/angle alive = it's worth investigating."

That's a much more defensible inference.

adspy.com

5. Minea — worth a look for ecommerce

If you're a DTC/ecommerce operation rather than a B2B company, I'd put Minea on the shortlist. It's specifically positioned around ecommerce ad/product intelligence and covers multiple social platforms. adlibrary.com adlibrary.com

I'd choose it over a generic enterprise intelligence product if your main goal is:

"Show me what other ecommerce brands are advertising and what products/offers they're pushing."

6. Foreplay — different job, but very useful

Foreplay isn't really your source of competitive traffic intelligence. It's more of a creative research/swipe-file system.

That's valuable once you have 100+ competitor ads and need somewhere for your team to organize them into:

• Hooks
• UGC concepts
• Offers
• Visual formats
• Landing-page examples
• Creative briefs

So I'd add it when your creative team is producing ads at enough volume to justify a research library.

foreplay.co

The stack I'd actually buy

For a growing ecommerce brand, I'd start with:

Free:

• Meta Ad Library
• Google Ads Transparency Center
• Your own spreadsheet/Notion/Airtable

Paid:

• Semrush → search ads + keywords + landing pages
• Similarweb → traffic/channel intelligence

Then add AdSpy or Minea if competitor social-ad research becomes a recurring part of your workflow.

I wouldn't start with enterprise products like Pathmatics/Sensor Tower unless you're already spending heavily on media or need sophisticated market-level advertising intelligence. Those tools are designed for a substantially bigger intelligence operation.

The important part: don't just "spy on ads"

The highest-value workflow is to build a competitor funnel map.

For each major competitor, capture:

Traffic source → Ad → Hook → Offer → Landing page → Product → Proof → CTA → Checkout

For example:

Meta
→ "Stop paying $X for..."
→ UGC video
→ 20% first-order offer
→ dedicated problem-specific landing page
→ hero product
→ reviews + before/after
→ sticky Add to Cart

After doing this for 10 competitors, you'll start seeing patterns, not isolated ads.

That's where the real competitive advantage is: identifying the angles, offers, landing-page structures and creative formats that the entire category is converging on—and the opportunities nobody is exploiting yet.

If you tell me your product category, approximate monthly ad spend, and whether you're mainly Meta/TikTok/Google, I can narrow this down to a $0 / ~$200/mo / ~$500/mo stack and give you the exact competitor-research workflow I'd use.

For a growing ecommerce brand, I’d avoid buying a giant “competitive intelligence” suite immediately. You really need to answer three questions:

1. What ads are competitors running?
2. Where are those ads sending traffic?
3. What patterns in the landing pages/offers/creative appear to be worth testing?

My recommended stack

1. Start with Semrush

For an ecommerce company, this is probably the first paid tool I'd buy.

Semrush's Advertising Research lets you enter a competitor's domain and see their paid keywords, ad copy, ad history and—particularly useful for your question—the landing pages receiving paid traffic. Semrush Semrush

For Shopping-heavy businesses, its PLA Research also exposes competitor product titles, ads, keywords and destination pages. Semrush

The workflow I'd use is:

Competitor → ads → keywords → landing page → offer → messaging → creative

That lets you build a swipe file that's actually connected to traffic rather than just collecting pretty ads.

2. Add Similarweb when you want the bigger picture

similarweb.com is useful for answering questions Semrush doesn't answer as well:

• Is this competitor primarily paid, organic, social, referral, or direct?
• Which channels appear to be growing?
• Which competitors are gaining traffic?
• Which sites are sending them referral traffic?
• How does their acquisition mix compare with ours?

Think of it as “how are they acquiring customers?”, whereas Semrush is more “what are they advertising?”

I would not treat estimated competitor traffic or spend as literal numbers—they're directional intelligence.

3. If you're heavily Meta-focused, use the Meta Ad Library

facebook.com is free, and I'd use it even if you pay for other software.

Search a competitor and catalog:

• Hooks
• Offers
• Creative formats
• UGC vs. polished creative
• Product angles
• Testimonials
• Discounts
• CTAs
• How many variations they're running
• Which concepts appear repeatedly

The important signal isn't necessarily “this ad has been running for 6 months, therefore it's profitable.” Ad libraries don't give you competitors' actual conversion data. Instead, look for repeated strategic themes.

4. For display/native, look at Adbeat

If your competitors spend substantially on programmatic/display, adbeat.com becomes much more interesting.

Adbeat specifically maps competitor ads, publishers, ad networks and landing pages, including display, native and video. Adbeat

That's particularly valuable for figuring out:

“What publications are they buying, what creative are they using there, and what page are they sending people to?”

The stack I'd actually buy

For a $1–10M-ish ecommerce brand, I'd probably do:

Free

• Meta Ad Library
• Google Ads Transparency Center
• BuiltWith / browser inspection for tech-stack research

Paid

• Semrush → primary competitive advertising research
• Similarweb → traffic/channel intelligence

Add later

• Adbeat → if display/native is a meaningful acquisition channel
• A dedicated creative intelligence platform → once you're running enough creative that systematic creative analysis becomes a bottleneck

The key is not to buy five overlapping “ad spy” tools.

More importantly: build a competitor research system

The software is only half the equation. I'd create a spreadsheet/database with one row per competitor ad + landing-page combination:

Then review it monthly, rather than randomly spying on competitors.

The really valuable insight isn't “Brand X is running this ad.” It's:

“Five of the fastest-growing competitors are all pushing the same problem/benefit, but they're using three different offers and landing-page structures.”

That's where competitive research starts turning into actual marketing strategy.

If you tell me your product category, approximate monthly ad spend, and whether you're primarily Meta/TikTok/Google, I can give you a much tighter $0 / $500 / $2,000-per-month software stack and the exact competitor-research workflow I'd use.

For a growing ecommerce brand, I’d build the stack around one primary competitive-intelligence platform + the ad platforms’ own libraries rather than buying five overlapping “ad spy” tools.

My shortlist

• similarweb.com — best overall for your use case.

Particularly strong if you want to connect competitor ads → traffic → landing pages. Its paid landing-page analysis shows competitors’ top paid landing pages, traffic share, estimated spend/CPC, paid keywords, and the ads sending traffic there. It also covers search, display, and social advertising intelligence. Similarweb Similarweb

• semrush.com — best value if Google/Search/Shopping matters heavily.

Its Advertising Research lets you enter a competitor domain and see paid keywords, ad copy, ad history, competitors, and—crucially—the landing pages receiving paid traffic. For ecommerce, its PLA Research also analyzes competitors' Google Shopping ads, products, keywords, and landing pages. Semrush Semrush

• Meta Ad Library — essential free complement for Meta ads.

Use it to see what competitors are actually running on Facebook/Instagram. I'd use this alongside Similarweb or Semrush rather than paying for a tool solely for Meta creative research.

What I'd actually buy

If you're spending meaningfully across Meta + Google:
Similarweb + native Meta/TikTok ad libraries.

If you're primarily Google/Shopping:
Semrush + native Meta/TikTok libraries.

If budget is tight:
Start with Semrush and the free ad libraries. Semrush's current Advertising base plan is listed at $99/month billed annually, while its Pro advertising tier is $220/month and adds AdClarity plus broader competitor ad/landing-page intelligence. Semrush

The workflow I'd use

Don't just collect screenshots of competitors' ads. Build a creative → promise → landing page → offer database.

For each major competitor, track:

1. Ad

• Hook
• Creative format
• Product shown
• Offer/discount
• CTA
• Messaging angle
• Traffic

• Meta vs. Google vs. other channels
• Search keywords
• Estimated traffic/spend where available
• How long the campaign appears to have been active
• Landing page

• URL
• Headline
• Above-the-fold offer
• Social proof
• Product benefits
• Reviews/UGC
• Guarantees
• Bundles/upsells
• CTA structure
• Mobile experience
• Patterns

• Which hooks keep recurring?
• Which products get advertised most?
• Which offers are persistent rather than one-off?
• Are ads sending traffic to product pages, collections, quizzes, advertorials, or dedicated funnels?

The important signal is persistence. If a competitor keeps spending behind essentially the same message and landing page for months, that's much more interesting than a creative you happen to see once.

One caveat

No competitive-intelligence platform can reliably tell you a competitor's actual conversion rate or profit. Treat traffic, spend, and “top-performing” estimates as directional. The real value is identifying repeated strategic patterns and then testing those hypotheses against your own first-party data.

If you tell me your product category, approximate monthly ad spend, and whether you're heavier on Meta, Google, TikTok, or all three, I can narrow this down to a specific 2–3 tool stack and tell you what I'd pay for vs. what I'd do for free.

For a growing ecommerce brand, I’d avoid buying a giant “spy tool” just because it has millions of ads. The useful workflow is:

competitor → traffic source → ad/creative → landing page → offer → funnel

My shortlist

If I were building your stack

1. Semrush — for Google/search competitors

Semrush is particularly useful because it connects the ad to the destination page. Its Advertising Research shows competitor paid keywords, ad copy, ad history, and the landing pages receiving paid traffic. Semrush Semrush

For ecommerce, its PLA Research also lets you examine competitors' Google Shopping activity, including product titles, images, pricing and destination URLs. Semrush

I'd use it to answer:

• What products are competitors aggressively advertising?
• Which keywords are they willing to pay for?
• Which landing pages are they sending that traffic to?
• What claims/offers are repeated across their ads?
• Are they building dedicated landing pages or sending traffic to PDPs/category pages?
• Which campaigns appear to persist over time?

2. Minea — for Meta/ecommerce creative intelligence

If your growth is heavily Meta-driven, I'd add Minea. It focuses much more on the ecommerce side: competitor ads, creative variations, ad duration, landing pages, products and store intelligence. Minea Minea

That's particularly useful for answering:

“What are the brands that are successfully scaling actually showing people?”

Rather than simply collecting ads, look for creative patterns: hooks, UGC formats, pain points, product demonstrations, offers, testimonials, before/after structures, etc.

3. Similarweb — for the macro picture

I'd use Similarweb less as an “ad spy” and more as a traffic intelligence layer.

For each major competitor, you want to establish:

Total traffic → Paid vs organic → Search/social/referral → geography → competitor comparison

That prevents you from seeing a competitor's Meta ads and assuming Meta is their growth engine when, for example, most of their acquisition may actually be branded search, affiliates, organic search, or direct traffic.

The important part: analyze the funnel, not individual ads

I'd build a competitor spreadsheet with columns like:

Then look for repetition.

If you see the same competitor:

• running an angle for months,
• using multiple creative variations,
• sending those ads to the same landing page,
• and maintaining the same offer,

that's considerably more interesting than an ad that happens to have lots of likes.

Also, don't treat estimated traffic/spend as ground truth. These platforms provide directional intelligence; the real value is identifying patterns and hypotheses to test, not pretending you know a competitor's ROAS.

My recommendation for your stage

If you're growing but not yet enterprise-scale, I'd start with:

Semrush + Meta Ad Library + a landing-page teardown process.

Then add Minea if Meta is a major acquisition channel.

Add Similarweb when you have enough competitors that you need to understand the broader acquisition landscape.

That gives you a relatively lean stack without paying for four overlapping “ad spy” databases.

If you tell me your rough monthly ad spend, primary channels (Meta/Google/TikTok/etc.), and whether you're Shopify, I can recommend the specific stack and workflow I'd use for a brand at your size.

Then look for repetition.

If you see the same competitor:

• running an angle for months,
• using multiple creative variations,
• sending those ads to the same landing page,
• and maintaining the same offer,

that's considerably more interesting than an ad that happens to have lots of likes.

Also, don't treat estimated traffic/spend as ground truth. These platforms provide directional intelligence; the real value is identifying patterns and hypotheses to test, not pretending you know a competitor's ROAS.

My recommendation for your stage

If you're growing but not yet enterprise-scale, I'd start with:

Semrush + Meta Ad Library + a landing-page teardown process.

Then add Minea if Meta is a major acquisition channel.

Add Similarweb when you have enough competitors that you need to understand the broader acquisition landscape.

That gives you a relatively lean stack without paying for four overlapping “ad spy” databases.

If you tell me your rough monthly ad spend, primary channels (Meta/Google/TikTok/etc.), and whether you're Shopify, I can recommend the specific stack and workflow I'd use for a brand at your size.

For a growing ecommerce brand, I’d avoid buying a huge “enterprise intelligence” stack too early. The best setup is usually a combination of:

1. Ad intelligence (what ads competitors run, how long they run them, messaging, creatives)
2. Landing page intelligence (where ads send traffic, offers, funnels, CRO patterns)
3. Traffic/keyword intelligence (which channels and searches are driving demand)

Here are the tools I’d shortlist:

My recommended stack by stage

If you’re under ~$1M–$5M/year revenue

Start with:

• Similarweb — competitor traffic, paid landing pages, keywords, ads Similarweb
• Foreplay — build a swipe file of competitor Meta/TikTok ads
• Free sources: - facebook.com
• adstransparency.google.com

This gets you 80% of the insights without enterprise pricing.

If you’re scaling paid acquisition ($5M–$50M+)

I’d add:

• Semrush for search demand, competitor keywords, and market gaps Semrush
• Similarweb for channel-level benchmarking and paid landing page analysis Similarweb
• A creative analytics platform (such as Motion) to connect creative patterns to your own ROAS

What I’d actually analyze every week

For each major competitor:

Ads

• New creatives launched
• Ads running longest (often a proxy for winners)
• Hooks/offers/promotions
• UGC vs studio creative
• Before/after claims
• Price anchoring

Landing pages

• Hero headline
• Offer structure
• Social proof placement
• Reviews/testimonials
• Bundles and upsells
• Subscription strategy
• Guarantee/risk reversal
• Mobile layout

Traffic strategy

• Paid search keywords
• Shopping feed positioning
• Seasonal campaigns
• New product launches
• Acquisition channels

If I were building the stack for a growing ecommerce team today

My pick would be:

1. Similarweb → “Where are competitors getting customers?” Similarweb
2. Foreplay → “What ads are they scaling?”
3. Hotjar / Microsoft Clarity on your own site → “Why do visitors convert or bounce?”
4. Semrush → “What search demand are we missing?” Semrush

One caution: competitor tools estimate performance; they rarely reveal true spend, ROAS, or conversion rates. The highest-value use is identifying patterns worth testing, not copying a competitor’s funnel blindly.

If you tell me your category (fashion, supplements, beauty, home, SaaS, etc.), monthly ad spend, and main channels (Meta, Google, TikTok, Amazon), I can narrow this to a more specific stack.

For a growing ecommerce brand, I’d avoid buying a giant stack immediately. You’re really trying to answer three questions:

1. What ads are competitors running?
2. Where do those ads send traffic, and what does the funnel look like?
3. Which channels/products/offers appear to be getting traction?

My recommended stack

1. Start with Semrush

For an ecommerce company, this is probably the first paid tool I'd buy.

Semrush lets you enter a competitor's domain and inspect their paid keywords, ad copy, ad history, and—particularly relevant to your question—the landing pages receiving paid traffic. Its Shopping research can also show competitor product ads, product titles and landing pages. Semrush Semrush Semrush

That lets you build a useful chain:

Competitor → keyword → ad → landing page → offer/product

For example, you might discover:

"running shoes" → "Free 2-Day Shipping" ad → /collections/running-shoes → $129 hero product

Then compare that against how you're structuring your own funnel.

semrush.com

2. Add Similarweb when you need the macro picture

Similarweb is useful for answering questions that an ad library can't:

• How much traffic does this competitor appear to get?
• Is traffic primarily paid, organic, direct, referral, social, etc.?
• Which competitors are growing?
• Which countries/markets matter?
• What search terms and referring sites are important?
• What technologies are they using?

Similarweb provides estimated traffic/channel data along with search ads, SEO keywords, referring domains and technology information. Similarweb

I'd use it alongside an ad-intelligence tool rather than expecting it to tell you exactly which ad is profitable.

3. For Meta/TikTok, look at Minea

If your brand is heavily Meta/TikTok-driven, I'd add Minea.

Minea is specifically oriented toward ecommerce ad research and can search competitor creatives across Meta, TikTok and Pinterest, while connecting ads to products/pages and tracking ad activity over time. Minea Minea

This is particularly useful for finding patterns like:

• Competitor has been running the same creative for 90+ days
• Multiple ads are pushing the same product
• Several creatives use the same hook
• Their ads consistently lead to a particular PDP/collection
• A competitor suddenly starts pushing a new product

Those are much more actionable signals than simply seeing that an ad exists.

4. Don't overlook the free libraries

Before paying for anything, I'd bookmark:

facebook.com and adstransparency.google.com.

They're particularly useful for validating what you're seeing in paid intelligence platforms. The important caveat is that third-party tools' spend/performance estimates are estimates, not your competitor's actual Meta or Google account data. Ad Library Checker

What I'd actually buy

If you were my ecommerce team, I'd do this:

Lean setup:
Semrush + Meta Ad Library + Google Ads Transparency Center

Paid-social-heavy brand:
Semrush + Minea + Meta Ad Library

More sophisticated growth team:
Semrush + Similarweb + Minea

I wouldn't buy all three paid platforms on day one.

The bigger opportunity is to create a competitor research workflow, rather than just collecting ads. For each major competitor, I'd track:

The key is connecting the ad to the landing page. A competitor's ad might look mediocre in isolation, but if it's been running for months and leads to a highly optimized product page, that's a much stronger competitive signal.

If you tell me what you sell, your approximate monthly ad spend, and whether you're mostly Meta, Google, TikTok, or a mix, I can narrow this down to a specific 2–3 tool stack and workflow for your brand.

For a growing ecommerce brand, I’d avoid buying five different “spy” tools. You want to answer four questions:

1. What ads are competitors running?
2. Where are those ads sending traffic?
3. What messaging/offers are they using on the landing pages?
4. Which channels and campaigns appear to be getting sustained investment?

My shortlist

1. semrush.com — best overall starting point

This would be my default recommendation.

Semrush's Advertising Research lets you enter a competitor's domain and see paid-search keywords, ad copy, historical ad activity, and the landing pages receiving paid traffic. Its Pages report specifically ranks the landing pages competitors are sending Google Ads traffic to. Semrush Semrush

You can essentially go:

Competitor → ads → keyword → landing page → offer/message

It also has AdClarity for display, video and social advertising intelligence. Semrush Semrush

Best for: Google Ads + landing-page research + broader competitive intelligence.

Downside: It's a fairly broad marketing suite, so you may pay for capabilities your ecommerce team doesn't use.

2. similarweb.com — best for cross-channel intelligence

If your competitors are heavily spending across Meta + Google + display + video, I'd look closely at Similarweb.

Its Ad Intelligence product covers search, display, social and other paid channels, with visibility into competitors' campaigns, creatives, landing pages, publishers and estimated spend. Similarweb Similarweb

Best for: Understanding the whole acquisition machine, rather than just Google Ads.

Downside: It can make more sense for a larger/growing brand than for an early-stage company because of the breadth and enterprise orientation.

3. Meta Ad Library — mandatory free tool

For any competitor doing serious Meta advertising, use the facebook.com.

It's free and particularly useful for manually studying:

• Creative concepts
• Hooks
• Offers
• Product positioning
• Formats
• Variations of the same campaign
• How long an ad appears to have been running

The important trick is not to look at one ad in isolation. Look for patterns across dozens of creatives. If a competitor keeps iterating around the same angle, that's much more interesting than a single flashy ad.

What I'd actually buy

For a growing ecommerce brand, I'd start with:

Semrush + Meta Ad Library

That gives you a surprisingly powerful workflow without a huge software stack.

Use Semrush to discover:

Who → what they're bidding on → which ads → which landing pages

Then use Meta Ad Library to investigate:

Who → what creative concepts → what offers → what messaging

Then manually inspect the landing pages and create a simple spreadsheet with columns like:

After you've done this for 10–20 competitors, you'll start seeing market-level patterns, which is much more valuable than simply copying individual ads.

If you're spending heavily on paid social

I'd move toward Similarweb Ad Intelligence or Semrush's broader advertising stack. Similarweb explicitly supports cross-channel analysis of competitor spend, creatives, landing pages and channel mix. Similarweb Similarweb

One important caveat

Treat competitor “spend,” “traffic,” and “winning ad” estimates as directional, not ground truth. For example, Semrush describes its traffic-cost figures as estimates based on CPC data. Semrush

The strongest signal is usually persistence: if a competitor repeatedly runs variations of an angle and keeps sending paid traffic to the same type of landing page, that's considerably more informative than a tool labeling something a “top ad.”

If you tell me roughly your monthly ad spend (e.g. $20k, $100k, $500k+) and whether you're mainly Meta, Google, or both, I can narrow this down to the 2–3 tools I'd actually pay for at your stage.

For a growing ecommerce brand, I’d avoid buying a single “spy tool” and instead build a small stack around three questions:

1. What ads are competitors running? (creative, hooks, offers, angles)
2. Where is their traffic coming from? (Meta, TikTok, Google, affiliates, influencers)
3. What happens after the click? (landing pages, funnels, CRO patterns)

A strong setup:

contentmavericks.comwww.primespy.net

My recommended stack by company stage

$0–$500/month (early growth)

• Meta Ads Library (free) for competitor ads
• Similarweb for traffic estimates
• BuiltWith/Wappalyzer for tech stack detection
• Manual landing page teardown in a spreadsheet
• Hotjar/Clarity on your own site

Good enough to identify:

• top competitor offers
• ad angles
• landing page structures
• funnel patterns

$500–$2,000/month (serious DTC growth team)

• Similarweb → “where is their traffic coming from?”
• Minea or BigSpy → “what creatives are they testing?”
• Semrush → “what paid search is working?”
• Foreplay → “how do we turn research into creative production?”

This is probably the sweet spot for a growing ecommerce brand. contentmavericks.comwww.primespy.net

Enterprise

• Pathmatics by Sensor Tower
• Similarweb enterprise
• Adbeat
• Crayon/Klue-style competitive intelligence platforms

These are better when you have many competitors, multiple markets, and a dedicated marketing intelligence function. www.g2.com

What I would actually do weekly

For each top 10 competitor:

Ads

• Save their newest 20–50 ads
• Tag:
  • hook (“problem,” “desire,” “social proof,” “discount”)
  • format (UGC, founder, demo, testimonial)
  • offer
  • CTA
  • emotional trigger

Landing pages
Track:

• headline
• above-the-fold promise
• product images
• reviews/social proof
• guarantee
• subscription vs one-time purchase
• bundles
• upsells
• quiz/funnel steps

Traffic
Monitor:

• paid search keywords
• social platforms
• influencer/referral traffic
• seasonal changes

If I had to pick only 3 tools for an ecommerce brand:

1. Similarweb → understand competitor acquisition strategy
2. Minea or BigSpy → understand competitor creative strategy
3. Semrush → understand paid search + SEO strategy

That combination gives you the closest thing to a competitor “growth dashboard” without paying enterprise prices. contentmavericks.com

One caveat: no tool can reliably tell you a competitor’s true CPA, ROAS, or exact spend. Treat ad longevity, frequency, traffic estimates, and creative repetition as signals rather than ground truth. selzee.com

Yes. For a growing ecommerce brand, I’d avoid buying one giant “spy tool” and instead build a stack around three questions:

1. What ads are competitors running?
2. Where are those ads sending traffic?
3. Which landing pages/products appear to be getting the most paid traffic?

My shortlist

1. Semrush — probably where I'd start

Semrush is particularly strong if Google is an important acquisition channel for you. Its Advertising Research can show competitors' paid keywords, ad copy, ad history, and—critically—the landing pages associated with their paid search traffic. Its PLA Research also covers Google Shopping, including competitor product titles and landing pages. Semrush Semrush

The workflow I'd use is:

Competitor → paid keywords → ads → landing pages → products/offers

You can then identify things like:

• Which products competitors are pushing hardest
• Which offers recur across ads
• Their messaging angles
• Which landing pages receive the most estimated paid traffic
• Which keywords trigger particular ads
• How their advertising strategy changes over time

Semrush specifically exposes landing-page traffic distribution through its Pages report. Semrush

2. Similarweb — best for answering "where is their traffic coming from?"

Similarweb is more useful when you want the macro picture, rather than just individual ads.

Its Paid Landing Page Analyzer lets you investigate competitors' paid landing pages, traffic share, and estimated CPC/spend associated with those URLs. Similarweb

I'd use it to answer:

"Competitor X is growing quickly. Is that because of Meta, Google, affiliates, display, organic, or something else—and which pages are benefiting?"

That's a different question from Semrush's:

"What Google ads and keywords are they running?"

For a scaling ecommerce company, that distinction is valuable.

3. Meta Ad Library — don't pay for something you can get directly

For Facebook and Instagram, start with Meta's own library. It's free and gives you the actual ads currently being run.

It's especially useful for manually studying:

• Hooks
• Offers
• Creative formats
• UGC vs. product-focused creative
• Headlines
• CTAs
• Product positioning
• How many creative variations a competitor is testing

The major limitation is that Meta doesn't give you ordinary advertisers' actual spend or conversion performance, so don't interpret "lots of ads" as automatically meaning "winning ads."

4. Foreplay — excellent if creative research is a big part of the job

foreplay.co is worth considering if you have a creative team producing lots of Meta/TikTok-style ads.

The value isn't just finding ads; it's being able to save, organize, tag, and study creative patterns rather than having your team endlessly scroll ad libraries.

I'd choose it over a more data-heavy tool if your bottleneck is:

"We need to understand what creative concepts competitors are testing and turn that into our own creative pipeline."

The stack I'd actually buy

For a growing DTC/ecommerce brand, I'd probably do:

Lean budget:

• Meta Ad Library — free
• Google Ads Transparency Center — free
• Semrush — paid
• Your own GA4/Shopify analytics

More sophisticated team:

• Semrush — search + Shopping intelligence
• Similarweb — traffic/channel/landing-page intelligence
• Foreplay — creative intelligence
• Meta + Google transparency tools — source-of-truth ad browsing

There's also an important caveat: competitor "spend," traffic, and performance numbers from commercial intelligence platforms are estimates, not their actual ad-account data. Treat them as directional signals, not ground truth. Semrush

The workflow I'd recommend

Don't just collect competitors' ads. Build a competitor funnel database.

For each major competitor, capture:

Ad → hook → offer → product → landing page → CTA → funnel type

Then look for repetition.

For example, if you discover that a competitor has 40 Meta creatives but 70% of their long-running creatives point to the same product page, that's much more interesting than simply knowing they have 40 ads.

Likewise, if Semrush shows a competitor repeatedly buying the same cluster of Google keywords and sending them to one landing page, you've potentially identified a high-priority acquisition → landing-page combination. Semrush Semrush

If you tell me your approximate monthly ad spend (e.g. <$25k, $25–100k, $100k+) and whether you're mostly Meta, Google, TikTok, or a mix, I can narrow this down to the 2–3 tools I'd actually pay for at your stage.

For each major competitor, capture:

Ad → hook → offer → product → landing page → CTA → funnel type

Then look for repetition.

For a growing ecommerce brand, I’d build the stack around two jobs: (1) discover which competitor pages are actually receiving paid traffic, and (2) understand the creatives/offers sending that traffic.

My picks

1. Similarweb — I'd start here.
Its Paid Landing Pages product is unusually close to exactly what you're asking for: you can identify competitors' highest-traffic paid landing pages, see the paid keywords sending traffic, estimated spend, ads associated with those pages, and the destination URLs. www.similarweb.com

For example, you could discover:

Competitor X → spends heavily on "collagen gummies" → sends traffic to /collections/best-sellers → uses 4 different search ads → page gets a significant share of their paid traffic.

That's much more actionable than simply looking at their ads.

Similarweb also has broader ad intelligence covering display, social and search, including competitor creatives, landing pages, keywords and estimated spend. www.similarweb.com

2. AdSpyder — add this if creative intelligence matters.
AdSpyder is more focused on the ad library side. It says it indexes ads across 15+ platforms and lets you search by brand, domain, keyword, platform and country, while connecting ads to their destination landing pages. adspyder.io

I'd particularly consider it if your team is constantly asking:

• What Meta ads are competitors running?
• Which hooks/angles are they testing?
• What offers are they pushing?
• What landing pages are those ads connected to?
• How long have particular creatives been running?
• What new ads just appeared?

3. Semrush — choose this instead if Google/search is a major acquisition channel.
Semrush is excellent for understanding competitors' organic and paid search strategies, including keywords, traffic trends and paid strategy. www.semrush.com

Its search-ad data can connect competitor ads to keywords, positions and landing pages, which is useful for reverse-engineering Google Ads funnels. support.similarweb.com

What I'd actually buy

If you're $1M–$20M-ish ecommerce and have a small growth team, I'd avoid buying five overlapping "spy" tools.

Start with:

Similarweb + Meta Ad Library + your own analytics

Then add AdSpyder if your paid-social team needs deeper creative monitoring.

I'd choose Semrush instead of Similarweb if your acquisition strategy is predominantly Google Search/Shopping + SEO.

The workflow I'd use

For each of your 5–10 biggest competitors:

1. Find their top paid landing pages in Similarweb.
2. Sort by estimated paid traffic/spend.
3. Save the URLs and screenshots.
4. Identify the offer, headline, proof, CTA, pricing and funnel structure.
5. Identify the ads/keywords driving traffic to each page.
6. Group their ads into creative angles: UGC, problem/solution, social proof, comparison, discount, feature-led, etc.
7. Track which creatives/pages persist over time.
8. Turn the recurring patterns into hypotheses for your own tests, rather than copying them.

One particularly useful signal is longevity: if a competitor keeps running essentially the same creative and landing-page offer for months, it's worth investigating. It doesn't prove the ad is profitable, but it is a stronger signal than simply finding an ad that happens to be live today.

If you tell me your approximate monthly ad spend and whether you're mostly Meta, Google, TikTok, or a mix, I can narrow this down to the 2–3 tools I'd actually pay for and what each would cost.

For a growing ecommerce brand, I’d avoid buying a single “spy tool” and instead build a small competitor intelligence stack. You’re trying to answer two different questions:

1. What ads are competitors running, and which ones look like winners?
2. What happens after the click (landing page, offer, funnel, CRO choices)?

Here are the tools I’d consider:

Best overall stack for an ecommerce growth team

1. Similarweb — traffic + paid channel intelligence

Best for: understanding where competitors get customers.

Use it to see:

• Paid vs organic traffic mix
• Top acquisition channels
• Referral sources
• Competitor search strategy
• Paid landing pages and ad ecosystem

Similarweb’s advertising intelligence product specifically focuses on competitor ads, creatives, landing pages, keywords, and spend trends. Similarweb Similarweb

Good fit if: you have 5–50 competitors and want market-level visibility.

2. Meta Ad Library + facebook.com — free creative research

Best for: Facebook/Instagram ad teardown.

Look for:

• Ads that have been running for months (often a signal they’re profitable)
• Repeated hooks
• Offers
• Testimonials
• Before/after formats
• UGC styles
• Landing page URLs

This should be your first stop before paying for an ad spy platform.

3. AdSpyder — multi-platform ad intelligence

Best for: teams that want a searchable competitor ad database.

Useful features:

• Search competitor creatives
• See destination URLs
• Track ad longevity
• Analyze ads across multiple channels

AdSpyder positions its product around searching and analyzing competitor ads across platforms and includes landing page visibility. AdSpyder

4. Semrush — paid search + SEO competitor research

Best for: brands spending heavily on Google.

Useful for:

• Competitor keywords
• Google Ads copy
• SEO gaps
• Search demand trends

Similarweb and Semrush overlap somewhat; pick based on whether you care more about market traffic intelligence (Similarweb) or search visibility (Semrush). Similarweb Shopify

5. BuiltWith or Wappalyzer — tech stack analysis

Best for: figuring out how competitors built their funnel.

You can identify:

• Ecommerce platform
• Analytics tools
• Reviews apps
• Email/SMS platforms
• Tracking pixels
• Testing tools

Useful question: “What stack do the brands ahead of us use?”

For landing page teardown specifically

I’d combine:

• Similarweb → find competitor paid pages
• Hotjar (for your own pages, not competitors) → understand user behavior
• Microsoft Clarity (free alternative) → session recordings and heatmaps
• Manual teardown → screenshots + notes

Analyze competitors on:

My recommended stack by company stage

Under ~$1M/year revenue

• Meta Ad Library (free)
• Similarweb free tier
• BuiltWith/Wappalyzer
• Manual landing page screenshots

~$1M–$10M/year

• Similarweb
• AdSpyder or another ad intelligence platform
• Semrush (if Google Ads matters)
• A competitor tracking spreadsheet

$10M+/year

• Similarweb enterprise
• Semrush
• Ad intelligence platform
• Dedicated CRO research process

If I were setting this up for a growing DTC/ecommerce brand today, I’d start with Meta Ad Library + Similarweb + a structured landing page teardown process, then add an ad spy tool only when you have enough competitors and ad volume to justify it. Similarweb AdSpyder

If I were setting this up for a growing DTC/ecommerce brand today, I’d start with Meta Ad Library + Similarweb + a structured landing page teardown process, then add an ad spy tool only when you have enough competitors and ad volume to justify it. Similarweb AdSpyder

For a growing ecommerce brand, I’d avoid buying a single “spy tool” and instead build a small stack based on what you actually want to learn:

1. What ads are they running?
2. Which landing pages are they sending traffic to?
3. Which channels/keywords appear to be working?
4. How are their funnels structured?

Here are the tools I’d shortlist:

My recommended stack by company stage

If you’re doing <$1M/year

Keep it lean:

• Meta Ad Library (free)
• TikTok Creative Center (free)
• Semrush for paid search/SEO
• A spreadsheet or notion.so database to catalog competitor ads

Goal: understand messaging patterns, not perfectly estimate competitor spend.

If you’re doing $1M–$20M/year

I’d add:

• Similarweb for channel intelligence
• Foreplay for creative swipe files

This lets you answer:

• “Are they scaling Meta or Google?”
• “Which landing pages are getting paid traffic?”
• “What hooks/offers are competitors repeating?”

Similarweb specifically has features aimed at finding competitor paid landing pages and analyzing the ads/keywords driving traffic to them. Similarweb Similarweb

If you’re spending $50k+/month on ads

Consider:

• Similarweb (market intelligence)
• Semrush (search)
• Adbeat or another ad intelligence platform (display/native)
• A creative intelligence workflow

At this level, the value is less “seeing ads” and more spotting:

• new offers before they scale
• creative fatigue cycles
• competitor budget shifts
• emerging acquisition channels

What I would actually do every week

For your top 10 competitors:

1. Save their:

• homepage
• best-selling product pages
• advertorial pages
• quiz funnels
• subscription pages
• Screenshot:

• Meta ads
• TikTok ads
• Google search ads
• Tag:

• hook (“problem/solution,” “UGC testimonial,” “discount”)
• offer
• audience
• landing page type
• proof elements
• CTA
• Look for patterns:

• Are multiple competitors pushing the same claim?
• Are they moving from discounts to bundles?
• Are they building new funnels?

The biggest mistake ecommerce teams make is collecting ads without analyzing the ad → landing page → offer → conversion mechanism.

If I were choosing only two paid tools for a growing DTC brand, I’d start with:

1. Similarweb — “where is traffic coming from and where is it going?”
2. Semrush — “what paid search demand are competitors capturing?”

Then add creative-specific tooling once your ad volume justifies it. Semrush Similarweb

If you’re a growing ecommerce brand, I’d avoid buying a giant “ad spy” stack immediately. The best setup is usually one competitive-intelligence platform + the free ad libraries + your own landing-page teardown process.

My shortlist

1. Similarweb would be my first purchase

Similarweb Paid Landing Page Analyzer

This is unusually well matched to what you're describing. Similarweb's Paid Landing Pages product can identify competitors' landing pages receiving paid traffic and show traffic share, estimated CPC/spend, paid keywords, ad creatives and the ads driving traffic to those pages. www.similarweb.com

That lets you do research like:

Competitor X → spends heavily on these ads → sends traffic to this product/quiz/collection page → uses this offer and messaging.

That's much more actionable than simply looking at competitors' ads.

2. Use Meta Ad Library alongside it

Meta Ad Library

Meta's own library lets you search active ads running across Facebook and Instagram. www.facebook.com

I'd use it to build a swipe file of competitors':

• Hooks
• Offers
• UGC concepts
• Product demonstrations
• Headlines
• CTAs
• Creative variations
• How long particular concepts appear to stay active

Important: don't interpret “this ad exists” as “this ad is profitable.” The library is excellent for creative intelligence, but it doesn't give you competitors' actual conversion economics.

3. For TikTok, use TikTok's own tools

TikTok Creative Center

TikTok's Creative Center provides examples of high-performing ads and creative insights. Its Top Ads system can filter by region, industry, objective and other dimensions, and provides performance/engagement analysis for eligible ads. ads-useast2a.tiktok.com

One current wrinkle: TikTok is transitioning Top Ads into TikTok One, so I'd treat TikTok One/Creative Center as the long-term destination rather than building a workflow around the old Top Ads interface. ads.tiktok.com

4. Add Semrush if Google matters

Semrush

I'd add it when you're interested in questions like:

• What paid search terms do competitors appear for?
• Which competitors are bidding on our category terms?
• What copy are they using?
• What pages are they sending search traffic toward?
• Where are competitors gaining/losing search visibility?

It's less specifically focused on the ad → landing page → funnel relationship than Similarweb, but substantially more useful if Google is a major part of your acquisition mix.

What I'd actually buy

For a growing DTC/ecommerce company, I'd start with:

Similarweb + Meta Ad Library + TikTok Creative Center

Then build a simple competitor database with columns for:

Competitor → Ad → Hook → Offer → Product → Landing page → Traffic source → CTA → Social proof → Pricing → Funnel type → First-order economics

The really valuable insight isn't “Competitor A runs this ad.”

It's:

“Competitor A has been running 7 variations of the same hook for 4 months, all pointing to the same advertorial → product page funnel.”

That's a much stronger signal that you've found part of their acquisition machine.

If you tell me your approximate monthly ad spend and whether you're primarily Meta, Google, TikTok, or a mix, I can narrow this down to the 2–3 tools I'd actually pay for at your stage, including what I'd skip.

For a growing ecommerce brand, I’d avoid buying one giant “spy tool” and build a small stack around the questions you actually need answered:

What are competitors advertising → where are those ads sending traffic → what offers/messaging are they using → which channels appear to be working?

My recommended stack

If I were running your brand

1. Start with Meta Ad Library — free

Search your 10–20 closest competitors and catalog:

• Hooks/opening claims
• Offers and discounts
• Creatives they're repeatedly using
• UGC vs. polished product ads
• Products being pushed
• Landing-page URLs
• How long particular concepts appear to stay active

Meta's own library lets you search currently active ads across Meta products. www.facebook.com

The important thing is not to assume that an ad being visible means it's profitable. Treat repeated creative, messaging, and offer patterns as signals—not proof of performance.

2. Add Semrush if Google is meaningful for you

This is probably the strongest match to your specific question.

Semrush can show competitor paid keywords, ad copy, ad history, and—particularly useful for you—the landing pages competitors are sending paid traffic to. www.semrush.com

You can essentially work backwards:

Competitor → keyword → ad → landing page → offer

That lets you compare, for example:

“They're bidding on best running shoes → using a pain-point headline → sending traffic to a dedicated collection page → offering 20% off.”

rather than merely looking at their ads in isolation.

3. Use Similarweb for the bigger picture

Similarweb is more useful when you want to answer:

“Where does this competitor actually get its traffic?”

You can benchmark competitors across paid search, organic search, social, referrals, direct, etc., and analyze audience/traffic behavior. www.similarweb.com

That's valuable because an apparently aggressive Meta advertiser might actually get most of its traffic from SEO, while another competitor could be heavily dependent on paid search.

The stack I'd buy at different stages

<$0/month:
Meta Ad Library + manual landing-page teardown + your own analytics.

Growing DTC brand:
Semrush + Meta Ad Library. This is probably the sweet spot.

More sophisticated growth team:
Similarweb + Semrush + Meta Ad Library, with a structured competitor database in Airtable/Notion/Sheets.

Very ad-heavy / creative-led brand:
Add Minea or AdSpyder for broader ecommerce ad discovery.

One important caveat

Don't optimize for finding the “winning ad.” Competitor intelligence tools are generally much better at showing you what competitors are doing than proving why it's profitable.

I'd build your research around recurring patterns:

Creative → claim → audience → offer → landing page → funnel → evidence of longevity

For landing pages specifically, I'd score each competitor on headline, offer, social proof, product presentation, objections, guarantees, CTA, urgency, mobile UX, and ad-message/landing-page consistency.

That produces much more actionable intelligence than simply collecting screenshots of competitors' ads.

For a growing ecommerce brand, I’d avoid buying one giant “spy” platform immediately. The best stack depends on whether you care more about Meta/TikTok creative, Google/Shopping, or landing-page/traffic intelligence.

My shortlist

If I were building your stack

Start with Semrush + the free Meta/TikTok libraries.

Semrush is unusually useful for the specific question you asked because its Advertising Research workflow connects the dots:

competitor → paid keyword → ad → landing page

Its Pages report shows which competitor landing pages receive the most paid traffic, while Ad Copies connects ads to their associated landing pages. It also provides historical ad activity, so you can distinguish something a competitor tested briefly from something they've apparently kept around. www.semrush.com

For ecommerce specifically, Semrush also has PLA Research for Google Shopping, including competitor product titles, ads, keywords and landing pages. www.semrush.com

Then use Meta and TikTok's own libraries for creative intelligence. TikTok's Top Ads dashboard, for example, lets you filter high-performing creatives by region, industry and objective and inspect performance at a second-by-second level. ads.us.tiktok.com

When I'd upgrade to Similarweb

If you're getting serious about competitive intelligence across channels, Similarweb is the more comprehensive choice. Its Ad Intelligence covers search and display advertising and surfaces things such as competitor campaigns, creatives, publishers, landing pages and estimated spend. support.similarweb.com

I'd consider it when you want questions answered like:

• "Where is this competitor actually getting traffic?"
• "Are they shifting budget from search to display?"
• "Which publishers are carrying their ads?"
• "How much of their acquisition appears to be paid?"
• "Which competitors are accelerating?"

The workflow I'd actually implement

Don't just collect screenshots of competitor ads. Build a competitive creative → landing-page database.

For each competitor, capture:

1. Ad hook — what gets attention in the first 1–3 seconds?
2. Promise — what outcome are they selling?
3. Offer — discount, bundle, free shipping, guarantee, etc.
4. Creative format — UGC, founder, product demo, testimonial, comparison, static, etc.
5. CTA
6. Landing page URL
7. Landing-page headline
8. Hero offer
9. Social proof
10. Product positioning
11. Checkout friction
12. How long the ad appears to stay active

That last one is particularly valuable: don't assume an ad is good because it exists. Look for patterns of repetition and longevity.

My recommendation by budget

<$300/month:
Meta Ad Library + TikTok Creative Center + Semrush.

$300–$1,000+/month:
Semrush + Meta/TikTok libraries, then add a dedicated creative-intelligence platform if paid social is your primary acquisition channel.

$1,000s/month and serious competitive intelligence:
Similarweb + Semrush, with the native Meta/TikTok libraries used for creative-level research.

If you tell me your product category, approximate monthly ad spend, and whether you're primarily Meta, TikTok, Google, or a mix, I can narrow this down to the 2–3 tools I'd actually pay for and tell you what I'd skip.

For a growing ecommerce brand, I’d avoid buying a giant “marketing intelligence” stack immediately. You want to answer three questions:

1. Which competitor landing pages are actually getting paid traffic?
2. Which ads/creatives are sending that traffic?
3. What messaging, offer, product, and funnel patterns can we steal ethically?

My recommended stack

If I had to pick just one paid tool: Similarweb. Its Paid Landing Page Analyzer specifically connects competitors' paid landing pages with traffic share, paid keywords, estimated spend/CPC and the ads driving visitors there. www.similarweb.com

That makes it unusually well suited to the exact question you're asking.

How I'd use it

Take 10–20 direct competitors and build a simple research loop:

Competitor → ad → landing page → offer → funnel

For each competitor, look for:

• Their highest-traffic paid landing pages
• Which products those pages sell
• Search keywords driving traffic
• Estimated paid traffic/spend
• Ad messaging and creative
• Whether different ads lead to different landing pages
• Offers: discounts, bundles, subscriptions, guarantees
• Above-the-fold headline/CTA
• Social proof and reviews
• Upsells/cross-sells
• Quiz → product recommendation funnels
• Email/SMS capture mechanisms

Similarweb's current landing-page product is particularly useful because it lets you work backward from a competitor's paid traffic to the actual destination page rather than merely looking at their homepage. www.similarweb.com

For Meta ads, use the free source first

Meta Ad Library lets you search active ads running across Meta. www.similarweb.comwww.facebook.comadstransparency.google.combacklinko.com

I'd actually start here before paying for a creative-spy product. Search each competitor and save:

• Hooks
• Video/image concepts
• Primary text
• Headlines
• CTAs
• Offers
• Products being pushed
• How many variations they're running
• Which concepts appear repeatedly

Repeated creative is especially interesting. If a brand has many variations around the same hook/angle, that's a stronger signal than a single clever ad.

For Google

Google Ads Transparency Center is Google's searchable database of ads from verified advertisers, including Search, YouTube and Display. adstransparency.google.com

Then use Semrush when you want the search intelligence behind those ads—keywords, competitors, paid-search visibility, etc. Semrush currently combines traffic/channel analysis with paid and organic keyword research and ad intelligence. www.semrush.com

What I'd buy at different stages

<$200/month:
Meta Ad Library + Google Ads Transparency Center + Semrush

$500–1,000+/month:
Similarweb + the free ad libraries

Paid social is your dominant acquisition channel:
Add a dedicated creative-intelligence/monitoring product after you've exhausted Meta Ad Library.

Large team / serious competitive-intelligence operation:
Similarweb or Semrush at the higher tier, potentially supplemented by Adbeat for display. Adbeat is particularly focused on competitor display advertising and landing pages. backlinko.com

One important caveat

Don't interpret these tools as showing you a competitor's actual ROAS or conversion rate. Most competitor spend, traffic and performance numbers are estimates. The useful signal is the pattern: “They've been running this offer, creative angle and destination page repeatedly across multiple months/channels.”

That's much more actionable than trying to guess whether their ad generated a 2.8× or 3.4× ROAS.

For an ecommerce brand at your stage, my first choice would be Similarweb + Meta Ad Library + Google Ads Transparency Center. Add Semrush if Google/search is an important acquisition channel.

For a growing ecommerce brand, I’d avoid buying a single “spy tool” and instead build a small competitor intelligence stack. The best setup depends on whether you care more about ads, landing pages, funnels, or market share.

Here are the tools I’d look at:

My recommended stack for a growing ecommerce brand

If you spend <$50k/month on ads

1. Similarweb → find competitor winners (traffic sources + landing pages) www.similarweb.com
2. Semrush → mine Google Ads keywords and messaging www.similarweb.com
3. Meta Ads Library → collect creative inspiration
4. BuiltWith → understand their stack

If you spend $50k–$500k/month

• Add Adbeat for deeper display/native intelligence. www.adbeat.com
• Consider a creative intelligence platform to analyze patterns across hundreds of competitor ads.

The workflow I’d use weekly

1. Pick 10–20 direct competitors.
2. For each competitor, capture:
   • Top paid landing pages
   • Ad angles/hooks
   • Offers (discounts, bundles, guarantees)
   • Product positioning
   • Reviews/social proof
   • Page structure
   • CTA strategy
3. Build a swipe file:
   • “Their winning hooks”
   • “Their offers”
   • “Their landing page sections”
   • “Their creative patterns”
4. Test your own versions rather than copying.

If I had to pick only one

For an ecommerce brand trying to answer “Which ads are driving traffic to which landing pages, and why?”, I’d start with Similarweb because it ties together paid traffic, ads, keywords, landing pages, and estimated spend in one place. www.similarweb.com

If your main acquisition channel is Meta/TikTok ads rather than Google, I’d weight the stack differently.

For a growing ecommerce brand, I’d avoid buying five “ad spy” tools. A good stack is usually one traffic/paid-search intelligence platform + one social-ad intelligence tool + a landing-page analysis tool.

My shortlist

If I were building your stack

Start with Semrush + free ad libraries.

Semrush is unusually well suited to the exact question you're asking: its Advertising Research product can show competitor ad copy, paid keywords, ad history, and—critically—the landing pages receiving paid traffic. Its Pages report specifically identifies competitor pages getting the most paid traffic. www.semrush.com

Then use Meta's and TikTok's own libraries to inspect the actual creative. This gives you a pretty powerful workflow without immediately paying for an expensive ad-spy platform.

Add Similarweb once you're big enough that understanding the whole acquisition funnel matters. It's particularly useful for answering questions like:

“Is this competitor really acquiring customers through Meta, or are we overestimating their social presence?”

The research workflow I'd recommend

For each major competitor, build a simple matrix:

Ad → landing page → offer → product → funnel

For example:

1. Find their active Meta/TikTok ads.
2. Save the ads that appear repeatedly or have been running for a long time.
3. Follow each ad to its landing page.
4. Record:
   • Headline
   • Offer
   • Product
   • Price/discount
   • Social proof
   • Reviews
   • Guarantees
   • CTA
   • Quiz vs. PDP vs. dedicated landing page
   • Upsells/bundles
   • Email/SMS capture
5. Use Semrush to see which competitor landing pages are getting paid search traffic. www.semrush.com
6. Compare the ad promise to the landing-page promise. That's often more valuable than simply copying creative.

One important caveat: don't treat estimated competitor spend or “winning ad” labels as ground truth. These tools infer a lot of competitive data. An ad being visible for a long time is a useful signal, but it doesn't prove profitability.

What I'd buy at different stages

<$5M revenue:
Meta Ad Library + TikTok Creative Center + Semrush

$5M–$25M:
Semrush + Similarweb + free Meta/TikTok research

$25M+:
Similarweb + Semrush + a dedicated ad-intelligence platform such as AdSpy/Minea, depending on where you're spending.

If you're primarily Meta/TikTok rather than Google, I'd shift the recommendation toward Minea/AdSpy + Similarweb, rather than making Semrush the centerpiece.

If you tell me your rough annual revenue, product category, and where you're currently spending (Meta, Google, TikTok, etc.), I can narrow this down to the 2–3 tools I'd actually pay for and what each one should be used for.

For a growing ecommerce brand, I’d avoid buying five overlapping tools. The best setup depends on whether your competitors are primarily acquiring customers through Meta/TikTok/social or Google/Search/Shopping.

My shortlist

🥇 If you want one paid platform: Similarweb

Similarweb is probably the closest match to what you're describing.

Its Paid Landing Page research lets you identify competitors' landing pages receiving paid traffic and see things such as traffic share, paid keywords, estimated CPC/spend, and the ads driving traffic to individual pages. www.similarweb.com

That makes it particularly useful for the analysis I'd actually want to do:

Competitor → Ad → Traffic source → Landing page → Offer/message

For example, you could discover:

Competitor X is spending heavily on “best running shoes for flat feet” → sending that traffic to a dedicated collection/quiz page → using a “30-day comfort guarantee” angle.

That's considerably more actionable than simply collecting screenshots of competitors' ads.

Similarweb also has broader Ad Intelligence covering search, display, social and other paid channels, including ads, publishers/platforms, campaigns and estimated spend. support.similarweb.com

🥈 If Google Shopping/Search is important: Semrush

Semrush is excellent if a meaningful portion of your ecommerce acquisition is Google-based.

Its Advertising Research can show competitors' paid keywords, ads, historical ad activity and—particularly relevant here—the landing pages receiving the most paid traffic. www.semrush.com

For ecommerce, its PLA Research is especially useful for seeing competitors' Shopping campaigns, including products, titles, landing pages and the keywords triggering their product ads. www.semrush.com

I'd choose Semrush over Similarweb if your biggest questions are:

• What Google keywords are competitors buying?
• What Shopping queries trigger their products?
• Which products/categories are they pushing?
• What ad copy are they using?
• Which landing pages are attached to those campaigns?

🆓 Don't overlook the free ad libraries

For Meta, use the Meta Ad Library alongside whichever paid platform you choose.

It's particularly useful for building a creative swipe file: hooks, formats, offers, UGC concepts, testimonials, product demonstrations, etc.

I'd do the same with TikTok's Creative Center if TikTok is important to your category.

What I'd buy for your situation

Lean ecommerce team:

Similarweb + Meta Ad Library + TikTok Creative Center

This gives you the broadest picture without building a giant martech stack.

Google-heavy ecommerce:

Semrush + Meta Ad Library

Larger/growing brand with serious paid acquisition:

Similarweb + Semrush, with the free ad libraries as supplemental creative research.

One important caveat: competitor ad/spend numbers are estimates, not their actual account data. Semrush explicitly says its paid-traffic figures are benchmarks rather than a measurement of the competitor's actual Google Ads spend. support.similarweb.comwww.semrush.comwww.semrush.com So I'd use the tools to identify patterns and relative investment, not conclude that "Competitor A spends exactly $187k/month."

The workflow I'd recommend

For each of your 5–10 closest competitors, build a simple database of:

1. Top ads — hook, creative format, offer, CTA
2. Traffic source — Meta, Google, TikTok, etc.
3. Landing page URL
4. Landing page type — PDP, collection, quiz, advertorial, comparison page, etc.
5. Core promise
6. Offer/incentive
7. Social proof
8. Estimated traffic/spend
9. How long the ad/page appears to have been active
10. What you could test yourself

The really valuable signal is persistence. If a competitor keeps running variations of the same concept and repeatedly sends traffic to the same landing page, that's much more interesting than a single flashy ad you happen to find.

If you tell me your product category + approximate monthly ad spend + whether you're mainly Meta, Google, TikTok, or a mix, I can narrow this down to the 2–3 tools I'd actually pay for and how I'd use them together.

For a growing ecommerce brand, I’d avoid buying five overlapping “ad spy” tools. You want a stack that answers three questions:

1. What are competitors advertising?
2. Where are those ads sending traffic?
3. What offers/messaging/products appear to be getting sustained investment?

My shortlist

🥇 If I were running your brand

Start with Semrush + the free ad libraries.

Semrush's Advertising Research can show competitor paid keywords, ad copy, ad history, and—particularly useful for your question—the landing pages receiving paid traffic. Its ecommerce-oriented PLA research also exposes competitors' Google Shopping keywords, product titles, creatives and landing pages. www.semrush.com

Then use the native ad libraries to fill in social:

• Meta Ad Library — Facebook/Instagram
• Google Ads Transparency Center — Google ads
• TikTok's ad library if TikTok is a major acquisition channel

This gives you a surprisingly powerful competitive-intelligence workflow without immediately paying enterprise prices.

When I'd upgrade to Similarweb

If you're doing serious competitor intelligence across channels, Similarweb is more compelling. Its ad-intelligence product covers display, social and search and lets you examine competitors' creatives, landing pages, keywords and estimated spend trends. www.similarweb.com

It can also help answer a question Semrush doesn't answer as well:

“Where is this competitor's overall traffic actually coming from?”

You can benchmark paid search, organic, referrals, direct, etc., rather than looking exclusively at ads.

The workflow I'd actually build

For each major competitor, create a spreadsheet/database with:

Ad → Offer → Landing page → Product → Traffic source → Messaging

For example:

Meta ad: “20% off your first order”
↓
Product: hero SKU
↓
Landing page: dedicated product page
↓
Hook: problem/solution
↓
Social proof: reviews + UGC
↓
CTA: Shop Now

Then track how long the creative stays live. Longevity isn't proof that an ad is profitable, but repeated/sustained campaigns are a useful signal that something deserves investigation.

Semrush specifically provides historical ad activity and lets you connect ad copy to the landing pages being promoted. www.semrush.com

One important caveat

Don't treat competitor “estimated spend” or “top-performing ad” data as ground truth. These platforms infer a lot of the underlying performance. Use them to identify patterns and hypotheses, then validate those hypotheses with your own tests.

My recommendation by stage:

• <$1M revenue: Meta Ad Library + Semrush
• $1M–$10M: Semrush + Meta/Google/TikTok libraries; consider Similarweb
• $10M+: Similarweb + Semrush, with specialized tools such as Adbeat/Pathmatics where relevant

If you tell me your approximate monthly ad spend and whether you're mainly Meta, Google, TikTok, or a mix, I can give you a much more specific $0 / $100 / $500 / $1,000+ per month software stack and what I'd actually buy.

For a growing ecommerce brand, I’d avoid buying one giant “competitive intelligence” platform at first. A 2–3 tool stack usually gives you better coverage.

My picks

If I were running your brand

Start with Minea + Semrush.

1. Minea for paid social.
This is the more ecommerce-native option. It covers Meta, TikTok and Pinterest and lets you investigate competitor creatives, products and landing-page destinations. Its current offering includes ad-history/performance signals and creative analysis. www.minea.com

2. Semrush for Google + landing-page intelligence.
Its Advertising Research lets you enter a competitor domain and see paid keywords, ad copy, historical ad activity and—particularly useful for your question—the landing pages receiving the most paid traffic. www.semrush.com

3. Add Similarweb when you're big enough to need market-level intelligence.
It can break competitor traffic down by channel and its Ad Intelligence covers search, display and other advertising formats, including the advertiser, publisher, creative and landing page. support.similarweb.com

The workflow I'd actually use

For each important competitor:

Ad → angle → landing page → offer → funnel

For example:

1. Find their ads in Minea.
2. Identify ads that have been running unusually long or have multiple creative variations.
3. Click through to the destination page.
4. Record the headline, offer, social proof, CTA, price/discount, bundles, guarantees and page structure.
5. Use Semrush to determine whether they're also pushing that product/page through Google.
6. Compare the competitor's messaging with your own conversion funnel.
7. Look for patterns across 5–10 competitors, rather than copying one company's page.

One important caveat: competitor tools provide estimates and observable signals, not their actual ROAS, revenue or ad spend. Treat longevity, creative repetition, traffic estimates and engagement as evidence—not proof that a particular ad is profitable.

If your primary acquisition channel is Meta/TikTok, I'd pick Minea first. If it's Google Shopping/Search, I'd pick Semrush first. If you tell me your approximate monthly ad spend and whether you're mainly Meta, TikTok, Google, or a mix, I can recommend the most cost-effective stack and what I'd skip.

For a growing ecommerce brand, I’d avoid buying one giant “competitive intelligence” platform immediately. You want to answer three separate questions:

1. What ads are competitors running?
2. Where are those ads sending traffic, and what does the landing-page funnel look like?
3. Which channels/keywords appear to be driving the most traffic?

My recommended stack

1. Start with Semrush

For what you described, Semrush is probably the closest single tool to what you want.

Its Advertising Research can show competitor paid-search keywords, ad copy, historical ad activity, estimated paid traffic/cost, and—particularly useful for you—the landing pages competitors are promoting through paid ads. www.semrush.com

So you can take a competitor like:

competitor.com

and investigate:

Paid keyword → competitor ad → landing page → offer/product

That lets you see things like:

• Which products they're pushing hardest
• Which landing pages repeatedly appear in their paid campaigns
• What headlines/offers they're using
• Which keywords they're buying
• How their paid-search strategy changes over time
• Which domains are competing for the same paid keywords

Semrush also now combines broader traffic intelligence with advertising intelligence, including display/social ad analysis through AdClarity. www.semrush.com

See Semrush Advertising Research

2. Add Similarweb when you care about where the traffic comes from

Similarweb is better for answering:

“How does this competitor actually acquire visitors?”

You can benchmark traffic and examine channels such as paid search, organic search, social, referrals, display, and more. It also provides advertising research across text, display, and other ad formats. support.similarweb.com

That's particularly useful for distinguishing:

Competitor A

• 45% paid social
• 20% organic
• 15% paid search
• 10% direct

versus:

Competitor B

• 50% paid search
• 25% organic
• 5% social

Those are very different businesses to compete against.

Explore Similarweb

3. Don't pay for Meta ad intelligence before using Meta's own library

For Facebook and Instagram, I'd start with the Meta Ad Library, which is free.

You can search a competitor and see the ads they're currently running across Meta products. www.facebook.com

This is particularly valuable because you can build a swipe file of:

• Hooks
• UGC concepts
• Offers
• Creative formats
• Testimonials
• Product demonstrations
• CTAs
• Landing-page destinations

The key trick is to click through every interesting ad and record where it sends you.

You start building:

Ad creative → promise → offer → landing page → checkout/product page

That's much more useful than simply collecting pretty ads.

Open Meta Ad Library

4. For TikTok, use TikTok Creative Center

TikTok's Creative Center is also free and provides a library of high-performing creative, with filtering by region, industry, objective, etc. Its newer TikTok One experience is increasingly focused on analyzing the creative approaches and selling points behind successful ads. ads.tiktok.com

TikTok Creative Center

If I were building your stack

<$500/month stage:

Meta Ad Library + TikTok Creative Center + Semrush

That's enough to do surprisingly sophisticated competitor research.

Growing team / serious paid acquisition:

Semrush + Similarweb + Meta Ad Library + TikTok Creative Center

Then consider a dedicated creative-intelligence product such as Foreplay if you're constantly collecting, tagging, comparing, and sharing competitor ads. Foreplay, for example, says its ad database covers Facebook, Instagram, TikTok, YouTube and LinkedIn and includes creative, copy, CTA, landing-page and ad-duration information. www.foreplay.co

The workflow I'd actually use

Every month, pick 10–20 competitors and run:

1. Traffic intelligence
→ Similarweb/Semrush
→ Identify their biggest acquisition channels.

2. Ad intelligence
→ Meta Ad Library + TikTok Creative Center + Semrush
→ Collect their active ads and recurring creative concepts.

3. Landing-page intelligence
→ Click through their ads
→ Screenshot the entire funnel.

4. Pattern analysis
Track:

• Hook
• Target customer
• Pain point
• Promise
• Product
• Offer
• Social proof
• CTA
• Landing-page type
• Price/discount
• Subscription/bundle strategy

5. Look for persistence

One of the strongest signals isn't “this competitor made a cool ad.”

It's:

“They've been running variations of this concept for 4+ months.”

That doesn't prove profitability, but it's a much stronger competitive signal than a single creative you happened to see.

If you tell me your approximate monthly ad spend (e.g. $20k, $100k, $500k+) and whether you're primarily Meta, Google, TikTok, or all three, I can narrow this down to a specific 2–4 tool stack and tell you what I'd actually pay for vs. skip.

For a growing ecommerce brand, I’d build the stack around one primary competitive-intelligence platform + the native ad libraries rather than buying five overlapping tools.

My recommendation

1. Similarweb — best for the overall picture

This is probably the closest match to what you're asking for. Its Paid Landing Page analysis can show you competitors' highest-traffic paid landing pages, the keywords sending traffic there, estimated spend/CPC, and the ads associated with those pages. www.similarweb.com

Use it to answer:

• Which competitor landing pages are getting meaningful paid traffic?
• Which products/offers are they pushing?
• What keywords are sending people there?
• Roughly how much are they investing?
• Which landing-page structures/offers appear repeatedly?

2. Semrush — best for Google/Search + Shopping

Semrush is particularly strong if Google Ads and Google Shopping matter to you. Its Advertising Research shows competitors' paid keywords, ad copy, ad history, and the landing pages those ads point toward. Its PLA Research is specifically useful for ecommerce/Shopping campaigns. www.semrush.comwww.semrush.com

I'd favor Semrush over Similarweb if your main question is "What are they doing in Google Ads?"

3. Meta Ad Library — essential, and free

For Facebook/Instagram, use Meta's own ad library alongside whichever paid platform you choose. It's particularly useful for seeing the actual creative concepts competitors are currently running—hooks, offers, formats, UGC, testimonials, etc.

The stack I'd actually use

If you only want to pay for one

I'd start with Similarweb for a growing ecommerce brand because your question spans traffic → ad → landing page, rather than just keyword research. Similarweb specifically connects paid landing pages with traffic share, keywords, ad strategy and estimated spend. www.similarweb.com

If you're heavily dependent on Google Ads/Shopping, I'd instead choose Semrush. Its current toolkit covers paid search, Shopping, Meta, display/video/social intelligence and competitor traffic analysis. www.semrush.com

One important caveat

Don't treat estimated competitor spend or traffic as ground truth. These platforms are competitive-intelligence estimates, not access to the competitor's actual ad account. The more valuable signal is usually the pattern:

Ad creative → promise/offer → landing page → product → CTA

If you give me your ecommerce category + approximate monthly ad spend, I can recommend a much tighter stack (including which tools are probably overkill) and a competitor-research workflow for your team.

For a growing ecommerce brand, I’d avoid buying five overlapping “ad spy” tools. The best stack depends on whether you care more about Meta/TikTok creative, Google/Shopping, or the full funnel from ad → landing page → traffic.

My shortlist

If I were building your stack

1. Start with Meta Ad Library + TikTok Creative Center.
They're free and give you the actual creative rather than someone's estimate of what competitors are doing. Meta's library lets you search currently active ads across Meta products. www.facebook.com

2. Add Semrush if Google Search/Shopping is meaningful.
This is particularly useful for ecommerce because you can go from competitor → paid keywords → ad copy → landing page. Semrush also provides historical ad information and identifies the landing pages competitors promote through paid advertising. www.semrush.com

Semrush Advertising Research

3. Upgrade to Similarweb when you need the bigger picture.
Similarweb's current Ad Intelligence covers search, display, social and other paid channels, with information on creatives, landing pages, campaign duration, publishers, impressions and estimated spend. support.similarweb.com

Similarweb Ad Intelligence

That makes it particularly useful for answering questions like:

“This competitor is running 30 different ads—are they actually buying meaningful traffic, where is it coming from, and which landing pages are they sending people to?”

The important distinction

Don't confuse “I can see their ads” with “I know what's working.”

For competitor research, I'd collect:

Ad
→ hook
→ creative format
→ offer
→ headline/copy
→ CTA

Traffic
→ Meta / Google / TikTok / display
→ estimated importance of each channel
→ search terms where applicable

Landing page
→ URL
→ headline
→ offer
→ price/discount
→ social proof
→ UGC
→ product positioning
→ quiz/product finder
→ email/SMS capture
→ upsells/bundles

Then look for repetition. If a competitor keeps running variations of the same hook and sending traffic to the same page for months, that's much more interesting than an ad that happens to be visible today.

What I'd buy at different stages

Lean / <$1M-ish ecommerce brand:
Meta Ad Library + TikTok Creative Center + Semrush.

Growing brand with serious paid acquisition:
Meta + TikTok + Similarweb. Add Semrush if Google Search/Shopping is important.

Creative-heavy DTC team:
Meta + TikTok + Foreplay, with Similarweb/Semrush for traffic intelligence.

One tool only:
I'd choose Similarweb if you want broad cross-channel competitive intelligence; Semrush if Google/Shopping is a major acquisition channel. Similarweb explicitly combines competitor ads, landing pages and paid-channel intelligence, while Semrush is especially deep on paid search and Shopping. support.similarweb.com

One caveat: competitor spend, impressions, and “winning ad” claims are estimates, not their actual Meta/Google account data. Treat them as directional signals and validate hypotheses against how long creatives stay live and how heavily a competitor repeats a particular funnel.

If you tell me your category (e.g. beauty, apparel, supplements, home goods), monthly ad spend, and whether you're primarily Meta/Google/TikTok, I can recommend a much tighter stack and tell you what I'd actually pay for versus skip.