ChatGPT answers, unedited

If your goal is specifically “which ad/creative + audience combination is actually driving revenue?”, I’d shortlist these:

My pick: Northbeam

If you're spending meaningful amounts on Meta/TikTok/Google and want to answer questions like:

“Which specific creative is producing incremental revenue from new customers, and which audience is it working with?”

I'd start with Northbeam.

Its Creative Analytics lets you drill into individual ads, filter/sort creatives across channels and attribution models, and combine creative performance with first-party data. Northbeam Northbeam Documentation

More importantly, Northbeam isn't limited to last-click reporting. It offers multi-touch attribution and Clicks + Deterministic Views, allowing you to evaluate revenue from ads that users saw but didn't necessarily click. Northbeam Northbeam

Northbeam's current pricing starts around $1,500/month for its Starter tier and $3,500/month for Professional, so it's aimed at fairly serious advertisers. Northbeam

Triple Whale is the strongest alternative

For Shopify/DTC, I'd seriously consider Triple Whale before Northbeam.

Its Creative Analysis can drill down to the individual creative, compare dozens of metrics, and aggregate ads by IDs/naming conventions. Triple Whale Help Center Its attribution system also provides multiple attribution models and campaign/ad-set/creative-level dashboards. Triple Whale

The particularly useful part for your use case is its Advanced Audience Data, which provides Meta/TikTok audience breakdowns including geography, gender and device, alongside creative analysis. Triple Whale

Triple Whale is also dramatically easier to get started with: its current Foundation plan is listed at $219/month, with higher tiers for more advanced attribution/automation. Triple Whale

One important caveat

No attribution platform can magically tell you causal incrementality at the individual creative × audience level.

I'd use attribution to answer:

• Which creatives generate revenue?
• Which campaigns/ad sets/audiences correlate with new-customer revenue?
• What is CAC/ROAS by creative?
• Which creative concepts work across audiences?
• Where is Meta/Google claiming conversions that your first-party data doesn't support?

Then use incrementality testing to validate the biggest decisions.

That's why Northbeam and Triple Whale have increasingly added incrementality/MMM capabilities rather than relying exclusively on MTA. Triple Whale's current Compass, for example, combines MTA, MMM and incrementality testing. Triple Whale

Bottom line:

• Best overall for granular media attribution: Northbeam
• Best for Shopify/DTC + creative analytics: Triple Whale
• Best if you're moving toward TV/OOH/true omnichannel: Rockerbox
• Best for high-ticket lead generation: Hyros

If you tell me monthly ad spend, Shopify vs. lead-gen, and whether your main channels are Meta/TikTok/Google, I can narrow this to the best 1–2 options and explain exactly what each can/can't tell you at the creative × audience × revenue level.

I'd start with Northbeam.

Its Creative Analytics lets you drill into individual ads, filter/sort creatives across channels and attribution models, and combine creative performance with first-party data. Northbeam Northbeam Documentation

More importantly, Northbeam isn't limited to last-click reporting. It offers multi-touch attribution and Clicks + Deterministic Views, allowing you to evaluate revenue from ads that users saw but didn't necessarily click. Northbeam Northbeam

Northbeam's current pricing starts around $1,500/month for its Starter tier and $3,500/month for Professional, so it's aimed at fairly serious advertisers. Northbeam

Triple Whale is the strongest alternative

For Shopify/DTC, I'd seriously consider Triple Whale before Northbeam.

Its Creative Analysis can drill down to the individual creative, compare dozens of metrics, and aggregate ads by IDs/naming conventions. kb.triplewhale.com Its attribution system also provides multiple attribution models and campaign/ad-set/creative-level dashboards. triplewhale.com

The particularly useful part for your use case is its Advanced Audience Data, which provides Meta/TikTok audience breakdowns including geography, gender and device, alongside creative analysis. triplewhale.com

Triple Whale is also dramatically easier to get started with: its current Foundation plan is listed at $219/month, with higher tiers for more advanced attribution/automation.

One important caveat

No attribution platform can magically tell you causal incrementality at the individual creative × audience level.

I'd use attribution to answer:

If your goal is ad-level attribution that ties specific creatives + audiences → conversions → revenue, the “best” software depends heavily on whether you’re ecommerce, SaaS, lead gen, or app growth. There is no single winner because the data model is different for each. Attrifast

Here’s the shortlist I’d look at:

My picks by use case

Ecommerce / DTC (Meta + TikTok + Google ads)

1. Northbeam — if you’re spending enough that attribution errors cost real money. Shuttergen
2. Triple Whale — if you want fast visibility into orders, creatives, and blended ROAS. Shuttergen
3. Motion + one attribution platform — a common pairing because attribution tells you what made money, while creative analytics tells you why. Exposure

B2B SaaS / high-ticket sales

1. Dreamdata — for tying ads to pipeline and revenue. Humblytics
2. HockeyStack — for deeper buyer journeys and account-level analysis. Attribute IQ
3. Cometly — if you want something more performance-marketing oriented. Humblytics

If you specifically want “which creative + audience combination made money?”

Look for these features:

• Ad ID-level tracking (not just campaign-level)
• Creative metadata tagging (hook, format, creator, angle)
• Audience/placement breakdown
• First-party/server-side tracking
• CRM or purchase revenue matching
• Cohort/LTV reporting
• Incrementality testing (to avoid rewarding ads that would have converted anyway)

A lot of teams end up with a two-tool stack:

• Attribution layer: Northbeam / Triple Whale / Dreamdata / Cometly
• Creative intelligence layer: Motion or similar creative analytics tooling Exposure

If you tell me:

1. ecommerce vs SaaS vs lead gen,
2. monthly ad spend, and
3. channels (Meta, Google, TikTok, LinkedIn, etc.),

I can narrow this to the 2–3 tools that fit best.

If your goal is specifically “which ad/creative + which audience actually drives revenue?”, I’d shortlist Northbeam and Triple Whale first.

1. Northbeam — my pick for rigorous attribution

Northbeam is particularly strong if you want to get beyond platform-reported ROAS.

Its Creative Analytics lets you inspect individual ads/creatives across channels, filter them by metrics, and combine that with multiple attribution models. www.northbeam.io

More importantly, Northbeam can attribute revenue across the customer journey and includes Clicks + Deterministic Views, which helps evaluate ads that influence purchases without receiving a click. www.northbeam.io

Use it if: you're spending enough that a materially wrong Meta/Google attribution picture is costing you real money.

2. Triple Whale — best practical choice for DTC

Triple Whale is probably the easiest recommendation for a Shopify/ecommerce growth team.

Its Creative Analysis can drill down to the individual creative, compare dozens of metrics, and aggregate ads by IDs/naming conventions. kb.triplewhale.com It also has audience breakdowns including geography, gender and device, plus creative analysis across segments. www.triplewhale.com

The big advantage is that you can go from:

Creative → audience → spend → orders → revenue → CAC/ROAS

without building the whole analytics stack yourself.

Its current Foundation plan is listed at $219/month, with higher tiers for automation and advanced measurement. www.triplewhale.com

The important caveat

No attribution platform can magically tell you that Creative A caused $X of incremental revenue from Audience B. Attribution and incrementality are different questions.

For example:

• Attribution: “Which ads/touchpoints get credit for the purchase?”
• Incrementality: “Would this customer have purchased anyway if they hadn't seen the ad?”
• Creative analysis: “Which hooks, formats, offers and messages perform best?”
• Audience analysis: “Which segments respond most profitably?”

For the first and third questions, Northbeam/Triple Whale are excellent. For the second, you want experiments/incrementality layered on top. Northbeam explicitly offers incrementality and MMM alongside attribution. www.northbeam.io

What I'd choose

DTC brand, primarily Meta + Google + TikTok: → Triple Whale

$1M+ annual paid spend and attribution is strategically important: → Northbeam

Large brand with TV/OOH/affiliate/etc. and sophisticated marketing measurement: → Rockerbox

Lead-gen/high-ticket business where revenue closes offline: → Hyros

If you tell me your monthly ad spend, channels (Meta/Google/TikTok/etc.), ecommerce vs. lead gen, and typical purchase cycle, I can narrow this to the best 1–2 and explain exactly how I'd structure the creative × audience × revenue reporting.

If your goal is specifically “which exact ad/creative + audience combination is generating revenue?”, I’d shortlist these:

🥇 I'd pick Northbeam

Northbeam is particularly well matched to your requirement because its attribution dashboard gets down to platform → campaign → ad/creative → revenue, while its Creative Analytics lets you compare individual creatives across channels and attribution models. docs.northbeam.io

It also supports multiple attribution approaches—including first/last touch and several multi-touch models—rather than forcing you to accept the platform's reported ROAS. docs.northbeam.io

Its pricing currently starts around $1,500/month for the Starter tier and $3,500/month for Professional, so I'd consider it once you're spending enough on ads that attribution errors are materially expensive. www.northbeam.io

🥈 Triple Whale if you're primarily DTC

Triple Whale is probably the easiest recommendation for a Shopify/ecommerce growth team. Its attribution product supports multiple models and specifically provides dashboards across channels, campaigns, ad sets and creative. www.triplewhale.com

The higher tiers add Creative Analysis and Advanced Audience Data, including breakdowns by geography, gender and device. docs.northbeam.iowww.northbeam.iowww.triplewhale.comwww.rockerbox.comwww.northbeam.io

So if your question is:

“Show me every Meta creative, its attributed revenue/ROAS, and how that varies across audience segments.”

Triple Whale is very compelling.

🥉 Rockerbox for bigger/more complicated media mixes

I'd lean Rockerbox if you're running Meta + Google + TikTok + influencers + affiliates + offline/CTV/etc. rather than primarily optimizing ecommerce social ads.

It emphasizes deduplicated, user-level attribution across channels and can connect campaign-level performance with customer journeys, LTV, incrementality and MMM. www.rockerbox.comwww.northbeam.io

The important distinction

Don't buy an attribution tool merely because it says it has “ad-level attribution.”

What you really want is a data model that can answer:

Creative → Audience → Touchpoints → Customer → Order → Revenue → Gross profit/LTV

For example:

Meta / Campaign X / Ad 17 / “UGC Hook B” / 25–34 women / prospecting → 184 customers → $42,600 revenue → $18,900 contribution profit

And ideally you can compare that against:

the same creative → retargeting → $31,000 revenue

That lets your media buyer determine what to scale, rather than just seeing that “Meta had a 2.8 ROAS.”

My ranking for your exact use case

If you're spending $100k+/month: Northbeam
If you're Shopify/DTC and want fast implementation: Triple Whale
If you're enterprise/multichannel: Rockerbox
If you have a strong data engineering team: build the attribution layer in your warehouse and use a BI tool on top.

One caveat: no software can perfectly observe audience-level causality after iOS/privacy changes. Attribution tells you where revenue is being assigned; incrementality testing tells you whether the ads actually caused that revenue. Northbeam and Rockerbox both incorporate incrementality alongside attribution, which is why I'd favor them for larger budgets. www.rockerbox.comwww.northbeam.io

If you tell me your monthly ad spend, channels (Meta/Google/TikTok/etc.), ecommerce platform, and whether you care about new-customer revenue vs total revenue, I can narrow this to the best 1–2 options for your setup.

If your goal is specifically “which ad creative + audience combination is actually driving revenue?”, I’d shortlist these:

1. Northbeam — my first choice

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

It combines multi-touch attribution with Creative Analytics, so you can get beyond “Meta campaign X generated $Y” and analyze the ads themselves. Its attribution can incorporate clicks and deterministic views, and it supports long/flexible lookback windows. www.northbeam.iowww.triplewhale.com

The important distinction is that Northbeam tries to give you an independent revenue view rather than simply reproducing Meta/Google's reported attribution. www.northbeam.io

I'd pick it if: you're spending enough on paid media that finding the right creative/audience can materially change your budget allocation.

2. Triple Whale — best if you're Shopify/DTC

Triple Whale is particularly attractive if you want something that your performance marketing team can actually live in every day.

It offers seven attribution models, including multi-touch, and its Clicks & Deterministic Views product connects verified ad views and clicks to purchases across platforms including Meta and TikTok. www.triplewhale.com

It's also considerably more accessible: its current pricing lists a $299/month Starter plan with multi-touch attribution, whereas Northbeam starts at $1,500/month. www.northbeam.iowww.triplewhale.com

I'd pick it if: you're a Shopify/DTC company and want strong attribution without immediately buying an enterprise measurement platform.

3. Rockerbox — best for complex organizations

Rockerbox becomes particularly compelling when you have lots of channels, offline media, multiple customer segments, or a serious analytics team.

It provides user-level paths, multiple attribution models, LTV analysis, and granular reporting down to campaigns/placements. It also lets you export underlying data to warehouses such as Snowflake, BigQuery and Redshift. www.rockerbox.com

I'd pick it if: you're trying to build a broader marketing measurement infrastructure rather than just optimize Meta/TikTok creatives.

One important caveat about “which audience drove revenue”

I'd not choose software solely because it says it does “audience attribution.”

There are actually three different questions:

1. Which creative generated revenue?

→ ad ID, creative ID, hook, format, offer, angle, etc.

2. Which audience generated revenue?

→ prospecting vs retargeting, new vs returning, demographic/behavioral segments, campaign audience, etc.

3. Did that audience/creative actually cause incremental revenue?

→ incrementality/holdouts, rather than merely receiving attribution credit.

The third is the hard one. An ad shown to someone who was already likely to buy can look fantastic under conventional attribution while generating little incremental revenue.

That's why I'd favor a platform that can eventually combine MTA + incrementality + MMM, rather than relying exclusively on click attribution. Northbeam and Rockerbox both now position themselves this way. www.northbeam.io

My ranking

For a DTC growth team:
Northbeam > Triple Whale > Rockerbox

For a large/multi-channel enterprise:
Rockerbox ≈ Northbeam > Triple Whale

For “I need to know which specific creatives are making money”:
Northbeam ≈ Triple Whale

For “I need defensible measurement of what actually caused incremental revenue”:
Rockerbox / Northbeam, with incrementality testing added to MTA.

If you tell me your monthly ad spend, channels (Meta/Google/TikTok/etc.), Shopify vs custom, and whether you're B2C or B2B, I can narrow this to the best 1–2 options and tell you exactly what I'd instrument to get creative × audience × revenue reporting.

If your goal is “which exact ad creative + audience combination is producing revenue?”, you usually need more than a standard attribution dashboard. The best stack depends on your business model, but these are the strongest options:

humblytics.comwww.nvecta.com

My shortlist by use case

1. DTC ecommerce (Meta/TikTok ads → purchases)

• Northbeam: strongest if you need confidence in scaling decisions and want to reduce reliance on platform-reported ROAS. humblytics.comwww.nvecta.com
• Triple Whale: easier setup and very popular for Shopify operators who want fast creative/campaign visibility. humblytics.comwww.nvecta.com
• Cometly: good if your priority is pushing better conversion signals back into ad platforms. www.cometly.com

2. B2B SaaS

• Dreamdata or HockeyStack: better because “revenue” often means closed-won deals months after the first ad click. humblytics.comwww.nvecta.com
• Avoid tools that stop at leads/MQLs if you need true CAC and pipeline attribution.

3. Mobile apps

• AppsFlyer, Adjust, or Singular: designed for install attribution and LTV measurement. deepclick.com

Important: “creative-level attribution” is a separate problem

Most attribution tools can tell you:

“Facebook campaign X generated $200k revenue.”

Fewer can tell you:

“UGC hook #3 + female 25–34 audience + interest cluster Y generated 3.2x higher contribution margin.”

For that deeper creative intelligence layer, teams often pair attribution with creative analytics tools that tag ad elements (hook, visuals, CTA, messaging) and correlate them with performance. improvado.io

What I’d pick:

• Shopify/DTC spending <$100k/mo on ads: Triple Whale or Cometly
• Shopify/DTC spending $100k–$1M+/mo: Northbeam + creative analytics layer
• B2B SaaS: Dreamdata/HockeyStack + CRM attribution
• Mobile app growth: AppsFlyer

If you tell me your business model (Shopify, SaaS, app, lead gen), monthly ad spend, and channels (Meta/TikTok/Google/etc.), I can narrow it to 2–3 choices.

If your goal is specifically “which exact ads/creatives + audiences are actually driving revenue?”, I’d shortlist these:

1. Northbeam — my first choice

For your exact question, Northbeam is probably the strongest fit.

Its Attribution dashboard lets you evaluate performance down to platform, campaign, ad and asset, with revenue as the core attribution metric. Its Creative Analytics gives you cross-platform views of individual creatives and lets you filter/sort them using multiple attribution models. docs.northbeam.io

More importantly, Northbeam isn't simply importing Meta's ROAS. It has its own first-party attribution models, including Clicks + Modeled Views and Clicks + Deterministic Views, so you can investigate ads that generate revenue without receiving a click. docs.northbeam.io

That makes it particularly useful for questions like:

• Which creative concepts/hooks produce the most revenue?
• Which individual ads are actually scaling efficiently?
• Which campaigns are over-indexing on new customers vs. returning customers?
• Are video ads generating sales through views rather than clicks?
• Which creatives work best at different stages of the funnel?
• Which ads look great in Meta but poorly in independent attribution?

Northbeam's current Starter pricing starts at $1,500/month, with higher tiers based on media spend. www.northbeam.io

2. Triple Whale — best if you're Shopify/DTC

Triple Whale is a very good alternative if you want attribution tightly integrated with ecommerce analytics.

Its MTA product currently offers seven attribution models and can incorporate both clicks and deterministic ad views from platforms including Meta, TikTok and Pinterest. www.triplewhale.com

The big advantage is that Triple Whale tends to feel more like an ecommerce operating system, whereas Northbeam is particularly strong as a marketing measurement/optimization layer.

It also has a free tier and paid plans; its current published pricing shows a $1,290/month Pro tier at the displayed revenue level. www.triplewhale.com

3. Rockerbox — best if you're more sophisticated/omnichannel

Rockerbox becomes especially attractive if your marketing extends beyond Meta/Google/TikTok.

Its MTA reporting explicitly provides granular ad-level details, while its broader measurement stack combines MTA with MMM and incrementality testing. www.rockerbox.com

It can also incorporate things like CTV, linear TV, direct mail, podcasts and influencers, alongside digital channels. www.rockerbox.com

So I'd choose Rockerbox when the question becomes:

“What actually caused our revenue across the entire marketing ecosystem?”

rather than simply:

“Which Meta/TikTok creatives should I scale?”

One important caveat about “audience attribution”

Creative-level attribution is much easier than true audience-level causal attribution.

For example, software can tell you:

Creative A → $250K attributed revenue → $40 CAC

But that's not necessarily the same as proving:

“Women 25–34 interested in X caused $250K of incremental revenue.”

Meta/Google's targeting and delivery systems are increasingly dynamic, and attribution vendors generally don't have perfect visibility into the counterfactual. That's why I would use attribution software for daily ad/creative optimization, but combine it with incrementality testing for the bigger budget decisions. Rockerbox explicitly positions MTA, MMM and experiments as complementary rather than interchangeable. www.rockerbox.com

My ranking for your use case

If you're a DTC/performance marketing team:

1. Northbeam → best for granular creative/ad optimization
2. Triple Whale → best ecommerce-centric all-in-one
3. Rockerbox → best for sophisticated cross-channel measurement

If you're spending $250k+/month on paid media, I'd lean particularly hard toward Northbeam; its Professional tier is designed for >$250k/month, with Enterprise above $500k/month. www.northbeam.io

If you tell me your monthly ad spend, channels (Meta/Google/TikTok/etc.), Shopify vs. custom site, and whether you care about new-customer revenue vs. total revenue, I can narrow this to the best 1–2 options and explain exactly how I'd instrument the attribution stack.

If your goal is specifically “which exact creatives + audiences are actually driving revenue?”, I’d shortlist these:

My #1: Northbeam

Northbeam is probably the closest match to what you're describing. Its attribution interface is explicitly designed for evaluating platforms → campaigns → ads/assets, with revenue, new customers, returning customers, funnel stage, and creative analytics. docs.northbeam.io

It also offers modeled-view attribution in addition to clicks, which is useful when Meta/TikTok reporting and your actual revenue don't line up. docs.northbeam.io

I'd choose Northbeam if:

• You're spending enough on paid social that creative-level optimization matters.
• You want to answer “this specific ad generated $X of revenue” rather than just “Meta generated $X.”
• You need to compare creatives across campaigns/audiences.
• You have a dedicated performance marketing team.

Triple Whale is the easier DTC choice

Triple Whale is particularly compelling if you're Shopify/DTC. Its attribution product offers seven attribution models and can incorporate both clicks and verified ad views from Meta, TikTok, Pinterest, Vibe and AppLovin. www.triplewhale.com

It also has a relatively accessible entry point: its current pricing page lists a free tier and a $299/month Starter tier with multi-touch attribution. www.triplewhale.com

I'd choose Triple Whale if: you want something your growth team can deploy quickly without building a sophisticated measurement operation.

Rockerbox if you're bigger/more complex

Rockerbox is the stronger choice once your question becomes “what is really incremental across my entire marketing mix?” It combines MTA with MMM and incrementality testing, and can bring in paid social, search, affiliates, influencers, CTV, offline, etc. www.rockerbox.com

It also supports granular analysis down to the ad level while providing customer-path and new-vs-returning analysis. www.rockerbox.com

I'd choose Rockerbox if: you're running a substantial multi-channel operation and don't want your attribution system to stop at Meta/Google.

One important caveat

No attribution platform can magically establish that Creative A caused $X of incremental revenue simply because it attributes an order to Creative A.

For your use case, I'd want the stack to have three layers:

1. Ad/creative attribution

Which ads, hooks, formats and audiences correlate with revenue?

2. Customer/LTV analysis

Does Creative A bring in customers who spend $100 over 12 months while Creative B brings $50 customers?

3. Incrementality testing

Did the ad actually create additional revenue, or would those customers have purchased anyway?

That's why I'd rank them:

Northbeam → best for granular media buying
Triple Whale → best for easy DTC implementation
Rockerbox → best for enterprise-grade measurement/incrementality

If you tell me your monthly ad spend, channels (Meta/Google/TikTok/etc.), Shopify vs. non-Shopify, and whether you're B2C or B2B, I can narrow this to the best 1–2 options and tell you exactly what I'd use to get creative × audience × revenue × CAC/LTV reporting.

If your main question is “which exact ad/creative + audience is actually driving revenue?”, I’d shortlist these:

1. Northbeam — my pick for granular attribution

Northbeam is particularly strong if you want to drill from revenue → channel → campaign → ad → creative and identify patterns in winning creative. Its Creative Analytics puts individual ads and their metrics together, with filtering across attribution models and channels. www.northbeam.io

It also explicitly tries to distinguish ads that generate demand from ads that merely harvest existing demand, and supports modeled-view attribution for understanding the contribution of impressions. www.northbeam.iodocs.northbeam.io

I'd choose it if: you're spending enough on Meta/TikTok/Google that platform-reported ROAS is no longer trustworthy and you want media buyers making decisions at the ad/creative level.

2. Triple Whale — easiest DTC option

Triple Whale is probably the easiest choice for a Shopify/DTC operation. Its attribution supports multiple models and first-party tracking, while its higher tiers add Creative Analytics and Advanced Audience Data, including breakdowns by geography, gender and device. www.northbeam.iowww.northbeam.iowww.triplewhale.comwww.triplewhale.comwww.rockerbox.comwww.rockerbox.comdocs.northbeam.io

The particularly useful feature for your use case is its creative analysis: you can evaluate designs/copy across ads and segments rather than just looking at campaign-level ROAS. www.northbeam.iowww.northbeam.iowww.triplewhale.comwww.triplewhale.comwww.rockerbox.comwww.rockerbox.comdocs.northbeam.io

I'd choose it if: you want granular reporting quickly without building a heavy measurement stack.

3. Rockerbox — best when the business is more complex

Rockerbox is stronger when attribution extends beyond Meta/Google into affiliate, influencer, email, offline, TV/CTV, direct mail, etc. It deduplicates touchpoints and provides user-level attribution across the marketing mix. www.rockerbox.comwww.rockerbox.comdocs.northbeam.io

It also combines MTA with incrementality testing and MMM, which is valuable if you eventually want to answer not merely “which ad got credit?” but “would this revenue have happened without the ad?” www.rockerbox.comwww.rockerbox.comdocs.northbeam.io

I'd choose it if: you're an enterprise/multi-channel advertiser and creative-level attribution is only one part of a broader measurement problem.

The important distinction

I'd avoid choosing purely based on who gives you the prettiest “ROAS by creative” dashboard.

There are really two questions:

1. Attribution: Which creative/audience appears associated with revenue?
2. Causality: Which creative/audience actually caused incremental revenue?

For #1, I'd rank Northbeam ≈ Triple Whale > Rockerbox for a performance-marketing/DTC use case.

For #2, I'd favor Northbeam/Rockerbox, provided you're actually running incrementality tests rather than treating modeled attribution as causal proof. Northbeam specifically positions its modeled-view approach as directional, while Rockerbox offers controlled incrementality testing alongside MTA. www.rockerbox.comwww.rockerbox.comdocs.northbeam.io

My default recommendation: Northbeam if your priority is granular creative + audience → revenue → profitability analysis. Triple Whale if you're a smaller/mid-sized DTC brand and want a faster, cheaper operational tool.

If you tell me your monthly ad spend, channels (Meta/TikTok/Google/etc.), business model (DTC/SaaS/B2B), and approximate monthly orders, I can narrow this to the best 1–2 options and tell you what I'd expect to pay.

If your goal is specifically “which exact ad creative + audience combination is producing incremental revenue?”, I’d shortlist these:

1. Northbeam — my pick for sophisticated paid-media teams

Northbeam is particularly strong if you want to go from channel → campaign → ad → creative → customer journey → revenue rather than stopping at platform-reported ROAS.

Its MTA uses first-party data and fractionalizes revenue across touchpoints, while its Creative Analytics lets you filter/sort creatives across channels and attribution models. docs.northbeam.io

It also explicitly supports analysis at the campaign/ad/asset level, and its attribution dashboard can distinguish new vs. returning customers and funnel stages. docs.northbeam.io

Choose Northbeam if: you're spending enough that a few percentage points of attribution accuracy materially affect budget allocation. Its Starter plan currently starts at $1,500/month, so this is a serious measurement investment. www.northbeam.iowww.triplewhale.com

2. Triple Whale — best if creative iteration is the priority

Triple Whale is probably the most attractive option if your workflow is:

“Show me which hooks, images, copy, creators, audiences, etc. are actually associated with revenue so my creative team can make more of them.”

Its current Starter tier specifically includes Creative Analysis across designs/copy, segments and genders, plus deeper Meta/TikTok audience data including geography, gender and device. www.triplewhale.com

It also has seven attribution models and Clicks + Deterministic Views, which incorporates verified ad views in addition to clicks. www.triplewhale.com

The big advantage is price/accessibility: its Starter plan is currently listed at $299/month, versus Northbeam's $1,500 starting point. www.northbeam.iowww.triplewhale.com

3. Rockerbox — best for enterprise complexity

I'd look at Rockerbox if you're beyond a straightforward Meta/Google/Shopify setup.

It handles paid + organic + offline channels, has user-level segmentation and LTV analysis, and supports granular attribution down to the ad level. www.rockerbox.com

It's especially compelling if you eventually need to connect MTA + incrementality + MMM, rather than treating attribution as the entire measurement strategy. www.rockerbox.com

What I'd buy

<$1M/year in ad spend: Triple Whale.

$1M–$10M+ DTC brand with aggressive Meta/TikTok/Google spend: Northbeam.

Large omnichannel/enterprise advertiser with CTV, offline, influencers, etc.: Rockerbox.

One important caveat: “attributed revenue” isn't the same thing as incremental revenue. Even excellent MTA can tell you that Creative A received more credit than Creative B; it doesn't automatically prove that turning off A would reduce revenue by that amount. For budget decisions, I'd pair ad-level attribution with incrementality/holdout testing.

If you tell me your monthly ad spend, channels (Meta/Google/TikTok/etc.), business model (DTC/SaaS/B2B), and whether you're on Shopify, I can narrow this to the best 1–2 options and compare pricing, attribution methodology, creative/audience granularity, and implementation effort.

If your goal is specifically “which exact ads/creatives + audiences are actually driving revenue?”, I’d shortlist these:

1. Northbeam — my first choice

Northbeam is particularly strong if you want to answer questions like:

• Which creative is producing incremental revenue?
• Which campaign/ad set/ad is actually profitable?
• Which ads are driving new customers vs. returning customers?
• What happens when you account for view-through exposure, not just clicks?
• What's the revenue contribution across the entire customer journey?

It supports multiple attribution models and can allocate revenue across touchpoints using first-party data. Its Clicks + Deterministic Views model also incorporates platform-verified ad views. www.northbeam.io

Its Creative Analytics specifically analyzes things like hook rate and thumbstop rate across ads, while the attribution dashboard can drill into campaigns, channels and ads. www.northbeam.io

Important caveat: “audience” attribution is inherently harder than creative/ad attribution because Meta, TikTok, etc. don't expose equivalent user-level data across platforms. I'd use Northbeam to analyze audience segments/ad sets rather than expect a magical “this demographic generated $X” answer.

2. Triple Whale — best if you're Shopify/DTC

Triple Whale is compelling if you want something that combines attribution with a broader ecommerce operating system.

Its current attribution product offers seven attribution models, including first-touch, last-touch and multi-touch, and its Clicks & Deterministic Views product incorporates verified ad views from platforms including Meta, TikTok and Pinterest. www.triplewhale.com

I'd pick it over Northbeam if you want less measurement-specialist infrastructure and more of an all-in-one ecommerce analytics stack.

3. Rockerbox — best for sophisticated/omnichannel measurement

Rockerbox is the one I'd look at if you're doing a lot beyond Meta/Google/TikTok—e.g. affiliates, influencers, OTT/CTV, direct mail, offline, etc.

It combines multi-touch attribution, incrementality testing and MMM, and supports 100+ integrations. It also explicitly supports granular ad-level analysis while giving you broader customer-path and channel-level measurement. www.rockerbox.com

My ranking for your specific use case

If I were buying specifically to answer “what creative + audience drives revenue?”:

1. 🥇 Northbeam — deepest fit
2. 🥈 Triple Whale — best balance of attribution + ease + ecommerce analytics
3. 🥉 Rockerbox — best if your media mix is complex/enterprise

One thing I'd not do is choose based purely on which platform claims the “most accurate attribution.” The real test is whether it can expose a useful dataset at roughly:

Ad → Ad Set/Audience → Campaign → Touchpoint → Customer → Order → Revenue → New/Returning → Contribution margin

…and then let you compare that against incrementality experiments. Attribution alone can tell you what got credit; it can't reliably prove what caused the revenue.

If you tell me your business model (ecommerce/SaaS/lead gen), monthly ad spend, and channels (Meta/Google/TikTok/etc.), I can narrow this to the best 1–2 options and tell you what I'd actually buy.

If your goal is specifically “which ad creative + audience actually drives revenue?”, I’d shortlist these:

My pick: Northbeam

For the exact use case you described, Northbeam is probably the strongest fit.

Its attribution interface lets teams evaluate performance at the platform → campaign → ad → asset level, while its Creative Analytics lets you filter/sort creatives across channels and attribution models. www.northbeam.io

More importantly, Northbeam combines multi-touch attribution, MMM, and incrementality testing, so you can distinguish “this ad got attribution” from “this ad actually caused incremental revenue.” www.northbeam.iowww.northbeam.io

It also has modeled/deterministic view-through attribution, which matters for Meta/TikTok/video where a click-only model can badly understate the contribution of upper-funnel creative. www.northbeam.iodocs.northbeam.io

Triple Whale if you're primarily Shopify/DTC

Triple Whale is my choice if you want something more immediately usable by a performance-marketing team. Its multi-touch product supports seven attribution models and explicitly incorporates clicked and verified ad views from platforms including Meta, TikTok and Pinterest. www.triplewhale.com

The big advantage is speed of operationalization: creative-level reporting, blended ROAS, customer/revenue analytics, etc., without building a substantial data infrastructure.

Its pricing is also more transparent than most enterprise attribution products; its current pricing page lists a $1,290/month Growth/Pro tier, although the actual recommendation depends on GMV. www.triplewhale.com

Rockerbox if you're beyond just paid social

I'd lean toward Rockerbox if your marketing mix includes things like TV, podcasts, influencers, affiliates, direct mail, offline, or lots of channels.

Rockerbox explicitly provides ad-level attribution, customer journey analysis, new-vs-returning segmentation, LTV analysis, MTA, MMM, and incrementality testing. www.rockerbox.com

It's consequently more of a marketing measurement infrastructure than simply a Meta/Shopify attribution dashboard.

One important caveat

Don't judge these tools solely by “ROAS by creative.”

If you're trying to answer:

“Which creative/audience caused additional revenue that wouldn't have happened otherwise?”

then you ultimately want attribution + incrementality.

An ad can have fantastic attributed ROAS because it targets people who were already highly likely to purchase. Northbeam and Rockerbox are particularly interesting here because both now incorporate incrementality alongside attribution. www.northbeam.iowww.northbeam.iowww.triplewhale.comwww.rockerbox.comwww.northbeam.io

My ranking for your stated use case:

1. Northbeam — best overall for granular creative → revenue → incrementality
2. Triple Whale — best if you're Shopify/DTC and want fast, marketer-friendly reporting
3. Rockerbox — best if you're a larger/multichannel advertiser and need sophisticated measurement
4. Custom warehouse + BI — best if you have a strong data team and want maximum control

If you tell me your monthly ad spend, channels (Meta/Google/TikTok/etc.), business model (ecomm/SaaS/lead gen), and whether you need person-level or cohort-level audience attribution, I can narrow this to the 2 best options and explain exactly what each can/can't tell you at the creative × audience × revenue level.

If your goal is “which exact creative + audience combination is generating incremental revenue?”, I’d shortlist these:

1. Northbeam — my pick

Northbeam is probably the closest match to what you're describing. Its Creative Analytics lets you filter/sort individual creatives across channels and attribution models, while its MTA connects ad exposure to revenue. www.northbeam.io

The important differentiator is that it goes beyond “Meta says this ad generated $X.” Northbeam combines MTA + incrementality + MMM, so you can distinguish attributed revenue from revenue that was actually incremental. www.northbeam.io

I'd choose it if you're spending enough that creative iteration, audience strategy, and budget allocation are material business decisions.

2. Triple Whale — best if you're DTC/ecommerce

Triple Whale has particularly strong creative analytics: you can drill all the way down to individual creatives and aggregate them by IDs/naming conventions, while combining data from Meta, Google, TikTok, etc. kb.triplewhale.com

Its MTA also supports multiple attribution models and deterministic ad-view attribution, which is useful when you're trying to understand ads that generate purchases without getting clicked. www.triplewhale.com

I'd pick Triple Whale over Northbeam if your primary workflow is:

launch lots of creative → identify winners → iterate → scale

It also has a much more transparent public pricing structure than Northbeam; its current pricing is tied to GMV. www.triplewhale.com

3. Rockerbox — best for sophisticated measurement

Rockerbox is particularly strong if you have a complicated channel mix and want ad-level attribution plus broader measurement. Its Journey product explicitly supports granular ad-level reporting, while its platform combines MTA, MMM and incrementality testing. www.rockerbox.com

It's a strong choice if you need to answer questions like:

“This Meta creative looks great in-platform, but how much revenue did it actually cause, after accounting for Google, email, organic, repeat customers, etc.?”

It also has sophisticated segmentation and LTV analysis. www.rockerbox.com

The important caveat

No attribution platform can magically tell you that Audience A caused $X of revenue simply because Audience A received an attribution credit.

For the question you actually care about, I'd want the stack to support:

Creative → Audience → Impression/click → Customer → Order revenue → Contribution margin → Incrementality

And I'd judge vendors on whether they can get you beyond platform-reported ROAS.

My ranking for your specific use case:

1. 🥇 Northbeam — best combination of ad-level attribution + creative analytics + incrementality
2. 🥈 Triple Whale — best practical choice for creative-driven DTC/ecommerce teams
3. 🥉 Rockerbox — best if you're enterprise/multi-channel and need sophisticated measurement

If you tell me your ad spend/month, channels (Meta/Google/TikTok/etc.), business model (DTC, SaaS, lead gen), and whether you need customer-level/LTV attribution, I can narrow this to the best 1–2 options and tell you what I'd actually buy.

If your goal is “which exact ad creative + audience + campaign drove revenue?”, you want more than a basic analytics tool. You need a platform that can ingest ad platform data, connect it to orders/customers, and report at the creative/ad set/audience level (ideally with multi-touch attribution). www.shuttergen.comwww.shuttergen.comwww.triplewhale.com

The best options depend mostly on your spend level and business model:

My shortlist by scenario

If you are a Shopify/DTC brand:

1. Under ~$100k/month ad spend: Triple Whale or ThoughtMetric
2. $100k–$1M/month: Triple Whale + better testing discipline, or Northbeam if attribution accuracy is critical
3. $1M+/month or multiple channels: Northbeam or Rockerbox www.shuttergen.comwww.shuttergen.comwww.triplewhale.com

If your main question is:

• “Which Meta creative is producing profitable customers?” → Triple Whale / Northbeam
• “Which audience segment has the highest LTV?” → Northbeam + CRM data
• “Are my ads truly incremental?” → Northbeam / Rockerbox
• “Which TikTok/Meta/Google ads deserve more budget tomorrow?” → Triple Whale-style operator dashboards

A good attribution stack usually includes:

• Ad-level IDs: campaign → ad set → ad → creative
• Revenue connection: order ID, customer ID, gross margin/LTV
• First-party tracking: server-side events where possible
• Incrementality testing: not just last-click or platform-reported ROAS

If you share your monthly ad spend, channels (Meta/TikTok/Google/etc.), Shopify vs lead gen, and whether you care about CAC or LTV, I can narrow this to the 2–3 tools that fit.