ChatGPT answers, unedited

For a small ecommerce store, I’d start with GA4 + your store’s native analytics, and only pay for a dedicated attribution platform once your ad spend makes the extra precision worthwhile.

My recommendation

1. Best starting point: Google Analytics 4 (free)
Google Analytics 4

GA4 can track ecommerce purchases/revenue and use data-driven attribution to distribute credit across multiple ad interactions rather than simply giving everything to the last click. support.google.comsupport.google.com

I'd set up:

• Purchase/revenue tracking
• UTMs on every campaign
• Meta + Google + TikTok + email/referral channels
• Product-level revenue
• Customer acquisition cost by channel
• ROAS and, ideally, contribution margin

2. If you're on Shopify and spending meaningful money: Triple Whale
Triple Whale

This is probably the dedicated attribution tool I'd investigate first. It is built specifically for ecommerce and brings spend, revenue, profitability and attribution into one dashboard. Its current free tier includes first- and last-click attribution; paid plans add multi-touch attribution. www.triplewhale.com

3. If you're spending a lot or need sophisticated attribution: Northbeam / HYROS

These become more interesting when you're running several paid channels and attribution discrepancies are costing you significant money. Northbeam focuses heavily on measurement, while HYROS emphasizes cross-channel/customer-journey tracking and server-side data. www.triplewhale.com

The important part

Don't ask only "which channel gets credit for this sale?"

For a small store, I'd build a dashboard like:

Then compare multiple attribution views rather than trusting one model. Attribution is inherently an estimate of how much each touchpoint contributed; even Google's own data-driven model uses statistical/counterfactual methods rather than observing a definitive causal answer. support.google.comsupport.google.com

Rule of thumb:

• <$5k/month ad spend: GA4 + Shopify/native reporting
• $5k–$30k/month: consider Triple Whale
• $30k+/month: dedicated attribution/measurement becomes much easier to justify
• Large/complex multi-channel operation: Northbeam or similar advanced measurement

If you tell me your ecommerce platform (Shopify/WooCommerce/etc.), monthly ad spend, and which channels you use (Meta/Google/TikTok/email/etc.), I can tell you exactly which setup I'd use and what it would cost.

For a small e-commerce store, I’d start with Triple Whale if you’re on Shopify, or ThoughtMetric if you want a cheaper, more attribution-focused option.

My shortlist

Current comparisons put ThoughtMetric around $99/month and Triple Whale's paid plans around $219/month, while Northbeam starts around $1,500/month—so there's a substantial difference for a small business. thoughtmetric.io

I'd pick Triple Whale if you're on Shopify and your main question is:

"I spent $X on Meta, Google, TikTok, email, etc.—how much actual revenue did those channels generate, and what's my blended ROAS?"

It combines attribution with broader ecommerce analytics and is particularly geared toward Shopify/DTC businesses. thoughtmetric.iowww.triplewhale.com

I'd pick ThoughtMetric if keeping the monthly cost down is important and you primarily want cross-channel attribution. It supports ecommerce platforms beyond Shopify as well. thoughtmetric.io

One important caveat: don't treat any attribution tool's ROAS as absolute truth. Attribution models are estimates, particularly when cookies/consent, iOS privacy, view-through ads, organic traffic, and multiple devices are involved. For a small store, I'd use attribution for day-to-day optimization and periodically validate major decisions with experiments/incrementality rather than blindly trusting one dashboard. www.triplewhale.com

You should also have GA4 ecommerce tracking set up regardless; Google supports purchase/product-level ecommerce measurement and can feed audiences into advertising platforms. support.google.com

If you tell me (1) Shopify/WooCommerce/etc., (2) roughly how much you spend on ads per month, and (3) which channels you use—Meta, Google, TikTok, Amazon, email, etc., I can tell you which one I'd actually buy and what I'd set up.

For a small ecommerce store, I’d start with Triple Whale if you’re on Shopify, or ThoughtMetric if you want a more platform-agnostic option.

My shortlist

• Triple Whale — best if you use Shopify. It brings ad spend, orders, revenue, and attribution into one dashboard and is relatively easy to deploy. It also has a free tier, making it a good way to test whether you actually need sophisticated attribution. Triple Whale G2
• ThoughtMetric — best budget-conscious multi-channel option. It focuses specifically on ecommerce attribution and supports multi-touch attribution; current published pricing starts around $99/month. ThoughtMetric ThoughtMetric
• Northbeam — best once you're spending substantially more. It's much more sophisticated around multi-touch attribution, incrementality, and modeling, but it's generally aimed at brands with larger budgets and more analytical resources. Triple Whale Tajo
• Rockerbox — consider if you have offline channels such as TV, podcasts, direct mail, etc. It's probably overkill for a typical small online store. The Ecomm Analyst
• GA4 — good baseline, not my first choice for serious attribution. It can track ecommerce products, purchases, and marketing behavior, and it's inexpensive, but you'll do considerably more work to reconcile multiple ad platforms. Google Support Google Support

What I'd do in your shoes

If you're spending under ~$20–30k/month on ads, don't jump straight to a $1,000+ attribution platform. I'd use:

Shopify → Triple Whale → Meta + Google + TikTok/email → actual Shopify orders/revenue

Then compare blended ROAS/MER against platform-reported ROAS. The important thing is not simply asking "which ad got the sale?" but "how much incremental revenue did each channel actually contribute?"

If you tell me (1) Shopify/WooCommerce/etc., (2) monthly ad spend, and (3) which channels you advertise on (Meta, Google, TikTok, Amazon, email, etc.), I can narrow it down to one tool and tell you exactly how I'd set up the attribution stack.

For a small ecommerce store, I’d start with GA4 if you want the cheapest option, or Triple Whale / ThoughtMetric if you specifically want cross-channel ad attribution tied to actual orders.

My recommendation

GA4 supports data-driven attribution and attribution paths across channels, but you need ecommerce events such as purchase properly implemented to connect marketing activity to sales. support.google.com

For a small Shopify/DTC operation, current comparisons generally put Triple Whale and ThoughtMetric toward the lower-complexity end, while Northbeam and Rockerbox are more appropriate as measurement needs and budgets grow. thoughtmetric.iowww.triplewhale.com

The important part

Don't optimize around the attribution number that Meta or Google gives you individually. Each platform can claim the same purchase.

I'd set up a system that gives you something like:

$10,000 sales

• Meta ads → $3,200 attributed revenue
• Google Ads → $2,100
• TikTok → $900
• Email → $1,600
• Organic → $1,300
• Direct/referral → $900

Then compare that against actual store revenue, ad spend, gross margin, and ideally refunds/returns.

Also, don't assume "multi-touch attribution" means you have discovered the true causal impact of each channel. Attribution models assign credit; incrementality testing is better for answering whether turning a channel off would actually reduce sales. Current ecommerce platforms increasingly combine attribution with incrementality/MMM for this reason. www.triplewhale.com

If you tell me your platform (Shopify/WooCommerce/etc.), monthly ad spend, and channels (Meta, Google, TikTok, email, etc.), I can tell you which one I'd pick and what I'd pay for it.

For a small ecommerce store, I’d start with Google Analytics 4 (GA4) rather than jumping straight to an expensive attribution platform.

GA4’s data-driven attribution distributes purchase/revenue credit across touchpoints based on your actual conversion data, and its attribution reports let you compare channels and customer paths. support.google.com

What I’d use

My default recommendation: GA4 first. It's enough to answer questions like “Did Meta, Google, TikTok, email, or organic search actually contribute to this $100 sale?” rather than simply accepting each ad platform's own reported ROAS. Google specifically provides cross-channel attribution and revenue reporting in GA4. support.google.com

If you're on Shopify and your ad spend is already substantial, Triple Whale is probably the first paid tool I'd investigate. Current comparisons describe it as particularly focused on ecommerce, with multi-touch attribution, marketing mix modeling, and incrementality testing. www.shuttergen.com

One important caveat: no attribution tool can perfectly tell you which ad “caused” a sale. Attribution assigns credit; incrementality testing is what gets closer to answering whether the sale wouldn't have happened without the advertising.

If you tell me roughly (1) monthly ad spend, (2) Shopify/WooCommerce/etc., and (3) which channels you advertise on, I can tell you which tool I'd pick for your specific store and what it would cost.

For a small ecommerce store, you usually want an ecommerce marketing attribution platform rather than a general analytics tool. The right tool depends mostly on your store platform (Shopify/WooCommerce/etc.), ad spend, and how sophisticated you need the attribution to be. getfairview.com

Good options:

A practical recommendation by store size:

• Under ~$10k/month in ad spend: start with GA4 + your ecommerce platform reporting, then add Triple Whale or a similar tool if attribution decisions become difficult. getfairview.com
• $10k–$100k/month in ad spend: consider Triple Whale, Cometly, or similar ecommerce attribution tools. www.cometly.com
• $100k+/month in ad spend: look at Northbeam or more advanced measurement platforms. www.g2.com

Whichever tool you choose, make sure it can answer these questions:

1. Which channel actually drove profit? (not just clicks or platform-reported ROAS)
2. How do customers interact before buying? (Meta → email → Google search → purchase, etc.)
3. What is CAC by channel and customer lifetime value?
4. Can it account for returns, discounts, and margins?

For a small ecommerce store, my default shortlist would be:

1. Triple Whale if you use Shopify and want simplicity.
2. Cometly if you want stronger cross-channel tracking.
3. Northbeam only if your ad budget is large enough to justify the complexity.

If you tell me your platform (Shopify, WooCommerce, Amazon, etc.), monthly ad spend, and channels (Meta, Google, TikTok, email, affiliates), I can narrow it down.

If you're a small ecommerce store, I’d start with GA4 + your ecommerce platform’s native data, and only pay for a dedicated attribution tool once your ad spend is large enough to justify it.

My picks

GA4 now supports data-driven attribution, which distributes conversion credit across touchpoints based on your actual conversion-path data rather than simply giving everything to the last click. support.google.comsupport.google.com

For ecommerce specifically, GA4 can capture product views, purchases, revenue, promotions, and other ecommerce events. support.google.com

If you're on Shopify

I'd seriously consider Triple Whale once you're spending enough on Meta/Google/TikTok that the discrepancies between ad platforms and actual store revenue are costing you money. It combines multi-touch attribution with ecommerce analytics and supports models including first-touch, last-touch, and multi-touch attribution. www.triplewhale.com

A useful rule of thumb:

• <$5k/month ad spend: GA4 + Shopify/native reporting
• $5k–$30k/month: Triple Whale or ThoughtMetric becomes interesting
• $30k+/month: start evaluating Northbeam/Rockerbox and incrementality/MMM
• Lots of offline/CTV/podcast/influencer activity: prioritize a tool that can incorporate those channels rather than relying purely on click attribution

One important caveat: no attribution tool can perfectly tell you which ads caused incremental sales. Attribution tells you how to allocate credit; incrementality testing asks the more important question, “Would this sale have happened anyway if we hadn't run the ad?” Sophisticated platforms increasingly combine attribution with incrementality and/or marketing-mix modeling. www.triplewhale.com

If you tell me your ecommerce platform (Shopify/WooCommerce/etc.), monthly ad spend, and channels (Meta, Google, TikTok, email, etc.), I can tell you exactly which setup I'd use and what I'd avoid paying for.

For a small ecommerce store, I’d start with GA4 + your store platform’s native tracking, rather than immediately paying for an expensive attribution platform.

My recommendation

1. Start with Google Analytics 4

• Free.
• Tracks purchases and revenue across Google, Meta, email, organic, direct, etc.
• Its data-driven attribution model distributes credit based on observed customer journeys rather than simply giving everything to the last click. support.google.com

2. If you're on Shopify and spending enough that attribution is becoming a serious problem, look at Triple Whale.
It's specifically built for ecommerce and combines attribution, ad-channel data, and business metrics in one dashboard. Current comparisons generally position it as a more practical choice for growing Shopify brands, while Northbeam is aimed at substantially more sophisticated/larger measurement operations. www.triplewhale.com

3. Consider Northbeam only when you're spending enough to justify sophisticated measurement.
It's much more focused on advanced multi-touch attribution, media-mix modeling, and incrementality, but the cost and implementation complexity are generally overkill for a small store. www.triplewhale.comwww.shuttergen.com

The important distinction

If by "attribute" you mean:

"I spent $1,000 on Meta, $500 on Google, and $300 on TikTok. Which ads actually caused my $5,000 of sales?"

then GA4 is a good starting point, but don't treat any attribution dashboard as ground truth. Meta, Google, and your analytics system can all claim credit for the same purchase. Attribution models are estimates of contribution, not a perfect causal measurement. support.google.com

For a small store, I'd build this stack:

Store sales → GA4 → Meta/Google/TikTok conversion tracking → one blended dashboard

Then judge channels primarily on blended CAC, ROAS, contribution margin, and new-customer acquisition, rather than obsessing over whether Meta or Google gets 60% vs. 40% of a particular order.

If you tell me (1) your ecommerce platform, (2) roughly how much you spend on ads per month, and (3) which channels you use, I can tell you which specific tool I'd choose and whether it's worth paying for one at your scale.

For a small ecommerce store, I’d avoid jumping straight to an expensive enterprise attribution platform. The best choice depends mainly on your monthly ad spend and how many channels you use.

My shortlist

My pick for a small store: ThoughtMetric, particularly if you're spending enough on ads that attribution errors are costing you meaningful money. Current comparisons put it at about $99/month and position it specifically for ecommerce multi-touch attribution. thoughtmetric.io

If you're on Shopify and want broader analytics/business intelligence alongside attribution, Triple Whale is probably the better all-around choice; its current entry plan is reported at about $219/month. thoughtmetric.iowww.triplewhale.com

One important caveat

Don't treat any attribution tool's "ROAS" as the literal truth. Meta, Google, TikTok, and your analytics platform can all claim the same purchase. Attribution models are fundamentally assigning credit to touchpoints rather than proving that a particular ad caused the sale. Google itself describes attribution as assigning credit across the customer's path and offers data-driven attribution based on observed converting and non-converting paths. support.google.com

For a small store, I'd build your setup around:

Shopify/your store → attribution platform → Meta + Google + TikTok/etc. → actual orders/revenue

Then judge channels primarily on blended CAC, contribution margin, and total revenue, rather than blindly optimizing for each platform's reported ROAS.

If you tell me (1) your ecommerce platform, (2) monthly ad spend, and (3) which channels you're running—e.g. Meta, Google, TikTok, Pinterest, email, I can tell you which specific tool I'd use and whether it's worth paying for at your size.

For a small ecommerce store, I’d start with GA4 + your store platform’s native reporting, and only pay for a dedicated attribution tool once your ad spend justifies it.

My recommendation

GA4 is free and has data-driven attribution, which distributes conversion credit based on observed customer journeys rather than simply giving everything to the last click. support.google.com

If you're on Shopify and spending enough on Meta/Google/TikTok that you're seeing conflicting ROAS numbers, I'd look at Triple Whale. It's specifically built around ecommerce and combines attribution with revenue/profit reporting. Current comparisons generally position it as the more approachable option for ecommerce operators, while Northbeam is more measurement-focused and technically demanding. www.triplewhale.com

The important caveat

No tool can perfectly tell you that "Facebook caused $X of sales." Ad platforms tend to overclaim conversions, and privacy/browser limitations mean some customer journeys aren't observable. That's why I'd track three numbers:

1. Platform ROAS — what Meta/Google/etc. claim.
2. Blended ROAS — total store revenue ÷ total advertising spend.
3. Attribution/incrementality estimate — your best attempt at determining which channels actually caused additional purchases.

For a small store, #2 is especially important. If you're spending $5k across Meta + Google + TikTok and generating $20k in total revenue, your blended ROAS is 4.0 regardless of how each advertising platform tries to claim the $20k.

If you tell me (a) Shopify/WooCommerce/etc., (b) monthly ad spend, (c) which channels you advertise on, and (d) approximate monthly revenue, I can tell you which tool I'd actually choose and whether it's worth paying for one.

For a small ecommerce store, I’d start with GA4 (Google Analytics 4) + your ad platforms, rather than paying for an expensive attribution platform immediately.

My recommendation

1. Start with GA4 — best value

• Tracks the customer journey across Google, Meta, email, organic, direct, affiliates, etc.
• Its data-driven attribution model distributes conversion/revenue credit across multiple touchpoints rather than giving everything to the last click. support.google.comwww.triplewhale.com
• You can compare attribution models and see which channels/campaigns are receiving credit. support.google.com
• Free.

Google Analytics

2. If you're on Shopify and spending enough to need a dedicated tool, look at Triple Whale
It is specifically built around ecommerce measurement and combines attribution with broader profitability/analytics reporting. Compared with Northbeam, Triple Whale is generally positioned as the easier, more complete platform for ecommerce teams, while Northbeam is more measurement/analytics-focused. www.triplewhale.com

Triple Whale

3. Consider Northbeam when your ad spend gets substantial
I'd look at it if you're running significant Meta + Google + other paid channels and need sophisticated multi-touch attribution, incrementality testing, and marketing-mix modeling rather than simply a dashboard. www.triplewhale.com

Northbeam

The important distinction

Don't judge the tools by whether they can tell you "Facebook generated $X in sales." Meta, Google, and GA4 can all produce different answers because they use different attribution methodologies.

What you really want to know is:

If I spend another $1,000 on Meta vs. Google vs. TikTok, which one is most likely to generate incremental profit?

That's a harder incrementality/measurement question. Attribution is useful, but it isn't proof that an ad caused the sale. GA4's data-driven model, for example, uses observed and modeled customer paths to distribute credit. support.google.com

For most small stores, my progression would be:

GA4 + proper UTMs → Triple Whale → Northbeam/advanced measurement

If you tell me your ecommerce platform (Shopify/WooCommerce/etc.), monthly ad spend, and which channels you use (Meta, Google, TikTok, email, Amazon, etc.), I can tell you which one I'd actually pick for your store and what it should cost.

For a small ecommerce store, I’d start with GA4 rather than paying for a heavyweight attribution platform.

My recommendation

1. Google Analytics 4 — best starting point

• Free.
• Tracks ecommerce purchases and revenue across channels.
• Has data-driven attribution, which distributes credit across the customer journey rather than giving everything to the last click. support.google.comsupport.google.com
• Works well alongside Google Ads, Meta, email, organic search, affiliates, etc.
• You can compare attribution models and examine the paths customers took before purchasing. support.google.com

Google's GA4 attribution guide

2. Triple Whale — best if you're on Shopify and want something easier

• More ecommerce-focused than GA4.
• Pulls together store revenue and advertising data into one dashboard.
• Particularly attractive if you want to answer questions like “Did Meta actually generate these sales, or did Google/email get credit for customers who were already going to buy?”
• Current 2026 comparisons describe it as more practical for most ecommerce brands, while Northbeam is aimed more at teams with dedicated analytics resources. www.triplewhale.com

Triple Whale

3. Northbeam — probably overkill for you initially

• Excellent for sophisticated multi-touch attribution and incrementality.
• Better suited once you're spending enough on advertising that attribution accuracy is worth a significant software/analytics investment.
• It generally requires more technical/analytics resources than Triple Whale. www.triplewhale.com

What I'd do in your position

If you're spending under ~$10k/month on ads:

Shopify/ecommerce platform + GA4 + properly configured UTMs + native Meta/Google conversion tracking

Don't jump straight to an expensive attribution platform. Get your measurement foundation clean first.

If you're spending $10k–$50k+/month, or you're running Meta + Google + TikTok + email/affiliate and seeing wildly different ROAS numbers, I'd seriously consider Triple Whale or another dedicated attribution tool.

One important caveat: no attribution tool can perfectly tell you which ads caused incremental sales. Attribution assigns credit; incrementality testing asks the harder question of what sales wouldn't have happened without the advertising. GA4's data-driven model uses observed and modeled customer paths, but it isn't a substitute for causal experimentation. support.google.com

If you tell me your ecommerce platform (Shopify/WooCommerce/etc.), monthly ad spend, and which channels you use (Meta/Google/TikTok/email/etc.), I can tell you which setup I'd use and what I'd pay for it.

For a small ecommerce store, I’d start with GA4 + your store platform, and only move to a dedicated attribution tool once your ad spend and channel complexity justify it.

My recommendation

1. Start with Google Analytics 4 — best low-cost starting point

GA4 supports data-driven attribution, which distributes conversion credit across touchpoints based on your actual conversion data rather than simply giving everything to the last click. support.google.comwww.triplewhale.com

Use it to answer:

• Which channels/campaigns contribute to sales?
• What are customers doing before purchasing?
• How much revenue is associated with paid search, paid social, email, organic, etc.?

It's free, but you'll need ecommerce events such as purchase, revenue, and product information configured correctly. support.google.com

2. If you're on Shopify and want something much easier: Triple Whale

Triple Whale

It's specifically built for ecommerce and brings revenue, ad spend, profitability, and attribution into one dashboard. It also currently offers a free tier with first- and last-click attribution. www.triplewhale.com

For a small Shopify brand, this is probably the tool I'd investigate first if you don't want to build your own reporting.

3. If you're spending heavily across many paid channels: Northbeam

Northbeam

Northbeam is more measurement/attribution-focused and is better suited to brands with sophisticated multi-channel advertising and dedicated analytics resources. It's generally overkill for a small store. www.triplewhale.com

What I'd choose

One important caveat: no attribution tool can perfectly tell you which ad caused a sale. Attribution assigns credit; incrementality experiments try to determine whether the sale wouldn't have happened without the advertising.

If you tell me your ecommerce platform (Shopify/WooCommerce/etc.), monthly ad spend, and channels you advertise on (Meta/Google/TikTok/email/etc.), I can tell you which setup I'd use and what I'd pay for it.

For a small ecommerce store, I’d avoid jumping straight to an expensive enterprise attribution platform.

My recommendation

Start with GA4 + your ecommerce platform’s order data, and use data-driven attribution as your baseline. Google’s current GA4 model uses observed conversion/non-conversion paths to estimate the contribution of different touchpoints, rather than simply giving 100% of the sale to the last click. support.google.comsegmentstream.com

Google Analytics

Then, if you're spending enough on ads that the differences between Meta/Google/TikTok/etc. materially affect your decisions, look at a dedicated ecommerce attribution tool:

• Triple Whale — probably my first choice for a small-to-mid-size Shopify/DTC store. It's Shopify-focused and combines attribution with broader ecommerce analytics. www.triplewhale.com
• Northbeam — excellent if you have a more sophisticated marketing operation and want deeper measurement, but it tends to require more technical/analytics resources. www.triplewhale.com
• Rockerbox — worth considering as you become more sophisticated and have more channels to reconcile. segmentstream.com
• ThoughtMetric — another lower-cost ecommerce-focused option worth investigating if budget is a major constraint. www.reddit.com

The important part

Don't judge the tools by whether they say "Facebook generated $X in sales." No attribution tool can perfectly observe every customer journey, particularly with privacy restrictions, cross-device behavior, and untrackable conversions. support.google.com

For a small store, I'd build your measurement around:

Ad spend → tracked visits → orders → revenue → gross profit → CAC/ROAS

and compare Google, Meta, TikTok, email, affiliates, organic, etc. using consistent UTMs and purchase/transaction data.

If you tell me (1) Shopify/WooCommerce/etc., (2) roughly how much you spend on ads per month, and (3) which channels you advertise on, I can tell you which specific tool I'd use and whether it's worth paying for at your size.