9 best Triple Whale alternatives for ecommerce brands in 2026

Triple Whale reports gross margin and stops. We compared 9 Triple Whale alternatives on attribution depth, profit control and whether anything acts on the number. Pricing, limitations and review patterns included.
Denis Domnin
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Updated August 13, 2026
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30 min read
Logos of the 9 best Triple Whale alternatives for 2026, with Admetrics at the center

Key Takeaways

Admetrics is the most complete alternative to Triple Whale — first-party tracking, 9 attribution models, POAS per SKU and budget execution in one system, from $399/month.
Two things push brands out: profit reporting that stops at gross margin, and a bill priced on your GMV under a 12-month contract.
These tools are not interchangeable. Northbeam sells measurement, Polar sells a data stack, True Profit sells a P&L, Tracify sells tracking — pick by the gap you actually have.
Almost nothing acts on the number. Eight of the nine report, recommend or push signals back to the ad platforms; only Admetrics moves the budget for you.
Price isn't an ultimate indicator. Entry points run from $35 to $1,500 a month, and the cheapest tool here has better profit math than the most expensive one.

Why ecommerce brands leave Triple Whale

Brands rarely leave Triple Whale because it's bad. It reconciles pixel data against Shopify orders, it runs real profit reporting, and for a lot of DTC teams it was the first tool that made paid media legible. The reasons they leave are specific.

Profit stops at gross margin. Triple Whale takes COGS and gives you live gross profit - further than most tools go. It just stops there. Operating costs, contribution margin and anything resembling a P&L go back to a spreadsheet. Returns aren't broken out by campaign or product either, so the channel quietly generating your refunds looks identical to the one that isn't. You end up scaling on a number that hasn't met your real costs yet - no POAS per SKU, no margin below the gross line.

One buyer counts as several. There's no cross-store or marketplace identity matching. A customer who bought on Amazon and returns through your Shopify store arrives as brand new, and every acquisition number you report inherits the error. Orders split new from returning, but there's no reactivated tier, so win-back spend gets credited as acquisition.

The bill grows with the store, and the contract doesn't let you react. Triple Whale says it on its own pricing page: prices are based on your annual GMV and the package you choose. Foundation opens at $219 a month and Automate at $749, but those are floors for the smallest revenue tier. Every paid plan is a 12-month subscription, Moby runs on AI credits you can exhaust mid-month, and the one-star reviews describe refunds refused and cancellation taking real effort.

Support thins out after onboarding. This is the clearest pattern in the negative reviews, and it comes from long-tenure customers. One merchant almost three years in describes polished sales and onboarding, then a success manager who escalates instead of answering: "I'll need to ask someone else." Several others simply couldn't reach anyone.

The ratings capture the split. Triple Whale holds 4.5 on G2 across 478 reviews, while its Shopify App Store listing sits at 4.1. 16% one-star, almost nothing in between. People either build their week around it or want their money back.

How we ranked Triple Whale alternatives

Four questions decide whether a measurement tool changes a decision or just fills a screen. We scored every tool on all four, and the table below is the result.

  • Attribution and tracking accuracy. How many models you can compare, whether you can define your own credit rules, and - the part that matters more - whether conversions are captured server-side or left to a browser pixel that Safari can kill before any dashboard sees them.
  • Data foundation. Whether shop, ad, email and marketplace data reconcile in one place, and whether you can get the raw tables back out. A tool that reports beautifully on incomplete data is worse than no tool, because you'll trust it.
  • Profit over revenue tracking. Whether COGS, shipping, payment fees and returns run through the analytics, so the channel you scale is the one that actually made money. Plenty of platforms here stop at gross margin and a few never take a cost at all.
  • What happens after attribution? Enriched signal returned to the ad platforms, a budget move you can execute, an AI layer that answers from your own data. This is where most of the field runs out. The number lands, but nothing moves after.

Here's how the top Triple Whale alternatives compare across all four.

Triple Whale alternatives comparison 2026

#
Platform
Attribution
Profit control
Action
1
Admetrics
S2S + MTA (9 models + custom) + MMM
Yes, POAS up to SKU level
Budget Allocator + Ava AI
2
Polar Analytics
Polar Pixel, 10 models
Yes, contribution margin CM1–CM3
Recommends only, CAPI is an add-on
3
Northbeam
Browser pixel, 7 models + view-through
No (ROAS targets only)
Apex to Meta, MCP read-only
4
Klar
5 models + data-driven, MMM
Yes, contribution margin
No
5
Hyros
Identity script, 5 models
Limited
5-platform pushback
6
Wicked Reports
Cookieless S2S, 6 models
No (ROAS and nCAC only)
Advanced Signal, 5 Forces recommends
7
True Profit
Enterprise tier only, no models
Yes, full P&L per SKU
No
8
ThoughtMetric
Browser pixel + surveys, 5 models
No (ROAS and CAC only)
CAPI to Meta and Google
9
Tracify
Consent-free tracking, 1 AI model
No (costs outside analytics)
No
1.

Admetrics

4.97

Best for: ecommerce and DTC teams that want tracking, attribution, profit and the budget decision running off one system instead of four.

Admetrics dashboard showing server-side tracking, attribution and profit reporting for DTC brands

Most scaling brands don't run one tool. They run Triple Whale for the dashboard, a profit app for margin, a spreadsheet for cohorts, and an agency deck for MMM - then spend Monday morning arguing about which number is right. That argument is a reconciliation tax, and it gets more expensive the faster you grow. Admetrics collapses the stack: first-party server-side tracking, nine attribution models, a machine-learning MMM and a full P&L layer all read from the same dataset, so there's one number to defend instead of four to reconcile.

Key features

  • One no-code warehouse. Shop, ad, CRM and email data land in a single platform across 40+ native integrations, live in about 15 minutes. No engineer, no BigQuery project, no spreadsheet stitching.
  • First-party server-side tracking. Conversions are recorded server-side instead of through a browser pixel, recovering the 20–30% that iOS, Safari and ad blockers drop. Data sits on German servers, GDPR and CCPA compliant.Nine attribution models plus custom.
  • Nine attribution models plus custom. Standard models out of the box, custom credit rules on demand, and unlimited attribution windowsPOAS down to SKU.
  • POAS down to SKU. COGS, shipping, fees and returns net out per product, so the channel you scale is the one that actually made money.PRISMA suite.
  • PRISMA suite. Machine-learning MMM sizes offline, TV and marketplace impact, Fusion Attribution layers it over the digital data, and the Budget Allocator turns the result into concrete cross-platform moves.Ava and a native MCP.
  • Ava and a native MCP. Ava answers profit and performance questions from your own data in plain language. The MCP goes further than most: Claude or ChatGPT can query your attribution and budgets and act on them, where Triple Whale's and Northbeam's MCP servers stay read-only.

Strengths

  • The BI suite covers what you'd otherwise buy separately - contribution margin through to EBITDA, LTV cohorts and payback, SKU-level product performance, returns split by campaign and product, ROI per influencer. Most tools here stop at gross margin and leave the rest to your finance team.
  • Recovered conversions don't just sit in a report. Enriched signal streams back to Meta, Google, TikTok, Taboola and Outbrain, so the bidding algorithms optimize against buyers who actually converted.
  • Multi-shop cross-matching gives one customer identity across stores and marketplaces, and orders split into new, returning and reactivated - so retargeting stops borrowing new-customer credit.
  • A Chrome plugin puts the real numbers inside the Meta, Google and TikTok ad managers, which is where media buyers spend their day anyway.

Limitations

  • The full stack isn't on the entry plan. PRISMA, S2S pushback and API access live on Premium, quoted individually - Growth buys you tracking, attribution and BI.
  • No self-serve signup. The 21-day trial starts with a demo booking.

Pricing

Growth is $399/month with the first $20,000 of ad spend included and 1.5% beyond it. Business is $899, covers $70,000, drops the overage to 1%, and adds first-party subdomain tracking and intraday updates. Premium is quoted individually. Every plan includes a 21-day trial and a free data audit.

Reviews

Admetrics averages 4.97, the highest score in this comparison. Two themes repeat: the gap between what Admetrics reports and what the ad platforms claim, and a support team that helps read the numbers rather than pointing at documentation.

Bottom line

The only tool here that carries a click through to tracked conversion, attributed credit, net profit per SKU, and the budget move that follows - without a second vendor in the chain.

2.

Polar Analytics

4.7

Best for: Shopify-first brands that want a real data stack and margin reporting without hiring a data team.

Polar Analytics homepage presenting its Shopify data stack and margin reporting platform

Polar is the opposite of Northbeam. Where Northbeam is a measurement instrument that never learned accounting, Polar is a data platform that learned attribution second. Every plan ships a dedicated Snowflake database with your name on it, a semantic layer of 400+ prebuilt ecommerce metrics sitting on top, and dashboards that already know what CAC and contribution margin mean. You get the warehouse without the data engineer.

Key features

  • Dedicated Snowflake database per customer, with unlimited users and unlimited historical data on every tier. Direct SQL access is an add-on, but the warehouse itself isn't.
  • Contribution margin from CM1 to CM3. COGS, 3PL, shipping, payment fees and returns all feed the margin stack, and margin lands at both the campaign and the SKU.
  • Ten attribution models viewable side by side, from first click through time decay to a Shapley-based Full Impact model, with lookback windows and cash-versus-accrual accounting under your control.
  • Polar Pixel and Lifetime ID. Server-side tracking from your own domain, stitching sessions and logins into one cross-device journey.
  • An agent suite plus a governed MCP. Ask Polar answers questions in-app, agents cover email, media buying and inventory, and an AI data engineer writes new connectors on request.

Strengths

  • The profit math is genuinely good. Few tools on this list carry COGS, 3PL and returns all the way into campaign-level margin, and Polar does it without you building the model.
  • Support is the most-praised thing in its reviews, and not vaguely - merchants describe custom connectors built for them on request.
  • The MCP is a product, wired to the semantic layer so an AI client gets governed metric definitions instead of raw tables.

Limitations

  • No marketing mix model. Incrementality exists, but as a service line: a Polar data scientist runs holdout tests, priced per test. There's no model you can rerun yourself when the budget question comes back next month.
  • Conversion pushback reaches Meta and Google only, and it's sold as a separate product called Advertising Signals. No TikTok, Snapchat, Taboola or Outbrain.
  • Nothing acts. The media buyer agent flags where spend is drifting; moving the money stays a manual job in each ad account.

Polar Analytics pricing

GMV-based, and the site won't show a number until you pick your bracket. Polar's Shopify listing publishes $750/month with a free trial; G2 lists an entry tier from $300/month for BI alone. Expect the bill to climb with GMV, and note that SQL access, intraday refresh, incrementality testing and the CAPI connection are all priced on top.

Polar Analytics reviews

4.7 on G2 from a small base of 21 reviews.. Support and setup speed dominate the praise. The recurring complaint is cost, specifically how it scales as the store grows.

Bottom line

A strong BI foundation as an alternative to Triple Whale, but a weak choice if you want the system to model your channel mix or move budget for you.

3.

Northbeam

4.5

Best for: high-spend DTC brands that want the deepest paid-media measurement available, and already handle profit somewhere else.

Northbeam homepage presenting its paid-media measurement platform for high-spend DTC brands

Northbeam's own help docs have a page titled "My FB ROAS is 0.7 — is this normal?" That tells you what the platform is: a measurement instrument built to disagree with your ad accounts, aimed at brands with media buyers who want to argue about the number. It goes deeper on attribution than almost anything else on this list. It just stops before the number becomes profit.

Key features

  • Seven attribution models across simple and multi-touch, with limitless lookback windows and a choice of cash or accrual accounting mode.
  • Clicks + Deterministic Views. View credit is assigned only when the ad platform verifies the impression, rather than modeling it - useful for judging CTV, video and paid social.
  • Apex. Sends Northbeam's ad-level attribution data into Meta's algorithm, with no dev work.
  • MMM+. A media mix model that retrains weekly and covers channels that resist click tracking - podcast, direct mail, CTV, retail revenue.
  • Profit Benchmarks. Turns your profitability goal into account-wide ROAS, MER and CAC targets, then stoplights every campaign against them.

Strengths

  • Attribution depth is the real product, and it's excellent. Deterministic view-through was genuinely first to market, and the model comparison tool lets you see how much of a channel's credit is modeling versus hard clicks.
  • Apex is more than a CAPI wrapper. Feeding MTA data back into Meta measurably improves delivery, which few tools in this list attempt at all.
  • Unlimited lookback plus accrual accounting suits high-AOV brands with long consideration cycles.

Limitations

  • Profit Benchmarks is target-setting, not profit tracking. The setup checklist asks you to arrive with your own COGS calculation. Northbeam never nets COGS, shipping, fees and returns into a profit figure — no POAS, no contribution margin, no P&L.
  • Tracking runs through a browser pixel on your subdomain, not server-side conversion capture. When the script doesn't fire or the UTMs break, the touchpoint is gone.
  • Apex enrichment reaches Meta and Axon. Google, TikTok, Taboola and Outbrain get nothing.
  • No multi-shop cross-matching, no LTV cohorts, no in-product AI assistant, and the MCP server is read-only - action functionality is pretty limited.
  • Data is US-hosted with no EU residency option.

Northbeam pricing

Starter starts at $1,500/month, billed against data volume. Professional and Enterprise are quoted, and eligibility is tied to spend thresholds - roughly $250K and $500K a month - which is also where the higher refresh rates and MMM+ sit. There's no free trial.

Northbeam reviews

Northbeam holds 4.5 on G2, though from only 16 reviews. The pattern is consistent: accuracy gets credited, and complexity, onboarding time and price get criticized inside otherwise positive reviews.

Bottom line

One of the strongest pure attribution engines here, and the wrong tool if you need the number to end in profit rather than ROAS. You'll get better measurement than Triple Whale and less of everything else.

4.

Klar

n/a

Best for: European DTC brands that want attribution, MMM and margin reporting in one German-hosted platform, and can live without CAPI features and AI layer.

Klar homepage presenting its German-hosted ecommerce BI and attribution platform

Klar is a German BI platform that added attribution later, and the split shows in the pricing: €200 buys reporting, attribution starts at €400. The draw for DACH brands is where the data sits - hosted in Germany. What you get for the money is a broad measurement set: multi-touch attribution, a data-driven model, MMM and incrementality in one subscription. What you don't get is anything that acts on it.

Key features

  • Five static models plus a data-driven one that reweights each touchpoint by intent, order and time lag, with a unifying model layered above them.
  • Marketing mix modeling and incrementality testing included, reallocating direct and branded traffic to whatever actually created the demand - word of mouth included.
  • Zero-party enrichment. Discount codes and post-purchase survey answers get injected as touchpoints the tracking script never saw, filling the dark-social gap with stated data rather than modeled data.
  • Profitability carried onto attribution data. COGS, fulfillment, transaction and overhead costs run down to contribution margin, and the attribution reports inherit it - so channel decisions run on margin, not ROAS.
  • Influencer reporting with a built-in CRM, where creator fees flow into contribution margin through the custom marketing costs upload.

Strengths

  • MTA, MMM, incrementality and A/B testing sit in one subscription rather than arriving as separate add-ons.
  • German hosting with ISO 27001 certification, which for EU brands removes a conversation that Northbeam, Hyros, Polar and Wicked Reports can't have at all.
  • Creative reports are judged on attributed conversions and split by which customer segment responded.
  • A Chrome extension puts Klar's numbers inside Meta, Google and TikTok, and you pick which attribution model the extension displays.

Limitations

  • No conversion enrichment. Klar measures what happened but sends nothing back to the ad platforms - no CAPI pushback, no enriched signal, so the bidding algorithms aren’t learning from your cleaner data.
  • A short integration list. 15+ sources, Europe-shaped. No Snapchat, no Reddit, and Klaviyo is the only retention tool on it.
  • It doesn’t execute. MMM, incrementality and targets tell you where the budget should go; moving it stays a manual job in each ad account.
  • No AI layer. There's no in-app assistant, and no official MCP - Klar publishes a guide for building your own server against the API.

Klar pricing

Two tiers, priced on your trailing 12-month net revenue and re-checked quarterly. Core starts at €200/month and covers profitability, retention and acquisition reporting. Core + Attribution starts at €400 and adds the first-party pixel plus the full attribution and measurement suite. Free onboarding, no setup costs, no minimum term, 14-day trial.

Klar reviews

There's almost nothing to read. No meaningful G2 or Capterra footprint, and a single review on its Shopify listing. What exists sits on OMR, the German software review platform, where Klar holds category badges.

Bottom line

A solid choice for a EU brand and the value is there. The problem is the action layer, which is entirely missing - the same gap Triple Whale has, at a lower price.

5.

Hyros

4.9

Best for: high-ticket funnels that end in a call, an application or a webinar rather than a cart.

Hyros homepage presenting its identity-based ad tracking for high-ticket funnels

Look at who Hyros puts on its own pricing page: Tony Robbins' ad team, Sam Ovens, Whop. That's the tell. Hyros was built for info products, coaching and high-ticket offers, where one lead is worth four figures and the conversion happens on a sales call three weeks after the click. It tracks that journey better than anything else here. It just doesn't think in SKUs.

Key features

  • Identity-based script tracking. A first-party script fingerprints the visit, then ties every later order to the same email or phone - across devices, across months, including purchases that never touch the original browser.
  • Lead Journeys. Every click, opt-in, call and order sits on one lead record, so a closed deal traces back to the ad that started it.
  • AI Pixel Training. Recovered conversions get pushed back to Meta, Google, TikTok, Snapchat and Reddit, with custom rules per event - you decide which conversions the algorithm learns from.
  • Five attribution models, including two in-house multi-touch models, Scientific and Depreciation.
  • Chrome extension placing Hyros revenue and ROI next to the platform's own columns inside Meta, Google and TikTok.

Strengths

  • Offline and phone conversions are first-class citizens. If your funnel involves a booking tool, a webinar platform or a payment processor rather than a checkout, Hyros connects to it.
  • Pushback covers five ad platforms with per-event control, which is broader than Northbeam's Meta-only Apex or Polar's Meta and Google.
  • One plan, everything included. No feature gated behind a higher tier. Rare in this category.
  • Support is the most-praised thing in hundreds of reviews, and reviewers name their account manager by first name.

Limitations

  • Profit stops early. Hyros nets revenue against COGS, shipping and tax and calls it net profit. No POAS, no contribution margin, no operating costs, no returns broken out by product — and returns are where DTC margin actually leaks.
  • No mix modeling, no incrementality testing, no saturation curves. Attribution is the entire model, so there's nothing to sanity-check it against.
  • Ecommerce depth is thin. No SKU performance report, no influencer ROI, no multi-shop matching.
  • No budget optimization automation. All of the work inside ad platforms is still manual.

Hyros pricing

A slider by tracked monthly revenue, starting at $69/month for up to $5K. Everything is in one plan. Past the entry tiers the page stops showing numbers and asks for a call; third-party trackers put the $20K tier near $230/month on annual billing and climb into the thousands from there. No free trial.

Hyros reviews

Roughly 4.9 on Trustpilot across 650+ reviews. Support dominates the praise. The dissent, where it appears, is about tracking dropping out during scaling periods and about what the price does at renewal.

Bottom line

The sharpest tracker on this list for funnels that end in a conversation, and the wrong shape entirely for a store that needs margin per SKU. Not a Triple Whale replacement, a different category.

6.

Wicked Reports

4.2

Best for: brands whose real problem is that Meta keeps buying back customers they already had.

Wicked Reports homepage presenting its new-customer attribution and nCAC reporting

Wicked Reports picked a narrower fight than anyone else here, and it's a good one. Its core metric isn't ROAS — it's nCAC, the cost to acquire a new customer. Meta's algorithm optimizes toward whoever converts most easily, which is usually someone who already bought from you. Great ROAS, flat growth. Wicked separates new from repeat at the order level, then feeds new-customer purchase events back to Meta so the bidding chases first-time buyers instead of recycling your existing list. Problem is - a lot of the tools above do it anyway.

Key features

  • Six attribution models, including first opt-in and re-opt-in, which you can combine and run against your own lookback and look-forward windows.
  • Cookieless server-to-server tracking. A first-party script logs the click, and every order matches back by order ID and CRM record rather than by cookie.
  • Advanced Signal. Segmented conversion events to Meta and Google - new purchase, repeat purchase and product-level signals - so the algorithm learns which outcome you actually want.
  • 5 Forces AI. Nightly analysis producing weekly Scale, Chill or Kill calls per campaign, scored against decision zones you set.
  • Cohort and LTV reporting on every plan, with unlimited attribution windows for long consideration cycles.

Strengths

  • The new-versus-repeat split is enforced everywhere, not just shown in a report, and it's the cleanest treatment of that problem in this comparison.
  • Feeding new-customer events back to Meta is a genuinely different use of CAPI - most tools send conversions, Wicked sends which kind of conversion.
  • CRM-side matching means leads and orders reconcile for brands where the sale doesn't always close on the website.

Limitations

  • No profit layer. COGS never enters the platform, so there's no margin, no P&L and no POAS. Every decision runs on revenue.
  • Click-based attribution is the entire method. No mix modeling, no incrementality testing, nothing to validate the attribution against.
  • No product-level or return reporting. Nothing breaks down by SKU, and refunds don't report at all - so a channel driving returnable orders looks identical to one that doesn't.
  • No creative or influencer analytics. Media buyers get channel and campaign verdicts, not ad-level creative insight, and creators arrive as untracked links.
  • Nothing executes. 5 Forces AI hands you Scale, Chill and Kill calls; moving the budget stays manual in each ad account. Below the $999 tier the AI is a $199/month add-on rather than an included feature.

Wicked Reports pricing

Measure starts at $499/month, Scale at $699, Maximize at $999, with Enterprise quoted from around $4,999. Bands are set by your last 12 months of gross revenue. On the lower two tiers, Advanced Signal and 5 Forces AI cost $199/month each - which is what pushes most buyers to Maximize. No free trial.

Wicked Reports reviews

The review base is small and scattered across platforms, landing around 4.2 to 4.4. Praise centers on the attribution depth and the new-customer framing. The recurring objection is value: reviewers compare individual features against cheaper specialist tools and question the price relative to what's included.

Bottom line

Viable only for the nCAC problem. As a general Triple Whale alternative it leaves too much of the store unmeasured.

7.

True Profit

5.0

Best for: Shopify stores that want an accurate bottom line cheaply, and are content to keep attribution somewhere else.

TrueProfit homepage presenting its real-time net profit dashboard for Shopify stores

TrueProfit does one thing, and it isn't marketing. It calculates net profit. COGS, shipping, transaction fees, taxes, refunds and whatever custom costs you add, netted out in real time, at $35 a month. Judged as a profit tracker it beats most of this list. Judged as a Triple Whale replacement, it only covers half the job, because attribution sits on the $200 tier and isn't really attribution when you get there.

Key features

  • Real-time net profit dashboard. Revenue, every cost line, net profit and margin, updating through the day rather than overnight.
  • Cost modeling that's unusually granular. Unlimited COGS periods and zones, quantity-based and time-specific cost rules, weight-based shipping - so historical orders keep the margin they actually had.
  • P&L report and per-SKU profit, with ad spend and costs attached down to the product, plus bundling insights.
  • LTV and cohorts on every plan, including LTV measured against CAC and repeat rates building over time.
  • OS and Android apps showing live profit, free with any plan.

Strengths

  • The cost math is the most detailed here for the money. Per-variant, per-region, historically dated COGS is the kind of thing brands usually build in a spreadsheet and get wrong.
  • Cohort and LTV reporting on the entry plan, where most tools reserve it for higher tiers.

Limitations

  • Attribution is Enterprise-only, and thin. $200/month buys last-clicked and assisted purchases per ad. No named models, no custom weighting, no lookback control, and no way to compare models against each other.
  • Nothing is pushed back to the ad platforms - no CAPI, no conversion enrichment.
  • There is no mix modeling, incrementality,  creative analytics, influencer tracking and budget action. The tool effectively is only for profit tracking.

True Profit pricing

Basic $35/month for 300 orders, Advanced $60 for 600, Ultimate $100 for 1,500, Enterprise $200 for 3,500 - each with a per-extra-order fee and a surcharge cap. Marketing attribution appears only on Enterprise. 14-day trial, and no annual billing option.

True Profit reviews

A 5.0 average across roughly 750 Shopify App Store reviews, the deepest review base of any tool here. Merchants credit the accuracy of the profit figure and how fast it's set up. The thing to check before committing is what your bill looks like in a peak month.

Bottom line

The exact inverse of Northbeam: superb at turning revenue into profit, close to useless at working out which ad caused it. Pair it with something else, or you've solved half of what Triple Whale did.

8.

ThoughtMetric

4.2

Best for: small and mid-size Shopify stores that want credible multi-touch attribution at a predictable price, with no BI project attached.

ThoughtMetric homepage presenting its multi-touch attribution tool for Shopify stores

Every other tool on this list is trying to become a platform. ThoughtMetric isn't. It charges by pageviews - $99 a month at 50,000 - puts every feature on every tier, and stops there. Nothing is gated, because there isn't much to gate. For a store spending $30K a month that just wants to know whether TikTok is actually working, that focus is a feature.

Key features

  • Five attribution models, including a recommended multi-touch blend, with lookback windows from 7 to 90 days and no disruption to historical data when you switch.
  • Post-purchase surveys beside the pixel trail. The "how did you hear about us" answer sits next to the tracked touchpoints on the same journey, which is a real method for catching dark social.
  • Conversions API pushback to Meta and Google.
  • Product-level attribution showing which SKUs pull first-time buyers and which drive repeat purchase.
  • AI connectors letting Claude or ChatGPT query your attribution data directly, though read-only.

Strengths

  • Genuinely the cheapest credible multi-touch attribution here, and the pricing is legible - pageviews, one number, everything included, 18% off annually.
  • A two-week trial with no credit card, which nothing else in this comparison offers.
  • Support and ease of setup are what reviewers name most often; several mention the founder answering directly.

Limitations

  • COGS never enters the platform. No POAS, no contribution margin, no profit view, no return analytics. You get ROAS and CAC, which is exactly the metric that made you look for a Triple Whale alternative.
  • Multi-touch attribution is the only measurement on offer - no mix modeling, no incrementality, nothing to check the attribution against.

ThoughtMetric pricing

$99/month for 50,000 pageviews, $199 at 100,000, scaling from there. Annual billing saves 18%. Every feature is included at every tier, and the two-week trial needs no card.

ThoughtMetric reviews

The review base is thin enough that the number matters less than the pattern. Its Shopify listing sits at 4.2 across 13 reviews; on G2, support and ease of use draw the praise, while the recurring criticism is reporting depth - specifically the ecommerce metrics that aren't there.

Bottom line

The right call at $99 if attribution is genuinely all you need. The moment you ask what a campaign earned rather than what it returned, you've outgrown it. It replaces Triple Whale's attribution, but not its dashboard.

9.

Tracify

4.9

Best for: EU brands whose main problem is tracking accuracy under consent rules, and who already own a BI stack for everything else.

Tracify homepage presenting its consent-free, cookieless tracking for EU ecommerce brands

Tracify is a tracking company that added dashboards. It sells one capability - capturing full customer journeys without cookies and without a consent banner - and charges €500 a month plus a €500 setup fee for it. Almost everything downstream of measurement is somebody else's product. For a DACH brand losing a third of its data to consent management, that trade may still be worth making.

Key features

  • Hybrid, consent-free tracking toolkit. Cookieless, anonymized at collection, stitching the same person across devices, domains and sessions without a banner gating the data.
  • AI behavior-based attribution. One model weighs each touchpoint per journey rather than offering rules to choose between, with windows from 7 to 180+ days and the option to exclude channels.
  • Full journeys with no modeling. Touchpoints are recorded over weeks or months and nothing is filled in statistically, so what you see is what was captured.
  • German infrastructure. Servers in Munich and Frankfurt, no processing outside the EU, with separate certification of the consent-free approach.
  • Webhooks and an open API that push tracking and attribution data into whatever warehouse or BI tool you already run, plus a Chrome extension for Meta, Google and TikTok.

Strengths

  • Removing the consent banner from the tracking path addresses the largest single source of data loss for EU brands, and it's the thing Tracify is actually built around.
  • Attribution windows to 180+ days suit long consideration cycles, and native and display coverage - Taboola, Outbrain, Criteo - runs deeper than the Shopify-first tools here.
  • Feeding your existing stack rather than replacing it is a reasonable fit if you've already invested in BigQuery or Looker.

Limitations

  • Costs don't run through the analytics. There's a P&L view among the dashboards, but no COGS-based margin per campaign and no POAS, so channel decisions still run on revenue.
  • No ecommerce BI. No LTV, no cohorts, no product or SKU reporting, and no return analytics.
  • One attribution model, take it or leave it. You can't compare it against first-click or last-click, can't set your own weighting, and have nothing to audit the AI's output against.
  • No mix modeling or incrementality testing. Journey capture is the entire method.
  • No conversion enrichment. Nothing is sent back to Meta, Google or TikTok, so the ad algorithms never benefit from the cleaner data.
  • Nothing acts on the result. No budget optimizer; reallocating spend stays manual in each ad account.
  • No automation layer. No in-product AI assistant and no MCP, so an AI client can't query the data at all.

Tracify pricing

From €500/month for the Shop plan, plus a one-off €500 setup fee. Agency pricing on request. A 30-day trial is offered, arranged through a demo call.

Tracify reviews

4.9 on G2, but from 13 reviews - the smallest base of any tool in this comparison. Reviewers rate support and ease of use highly, and the sample skews almost entirely to small businesses.

Bottom line

A specialist tracking layer priced like a platform. Worth it if consent-free capture is the specific problem you're solving, and expensive if you expected the rest of the stack to come with it. Triple Whale does more for less.

Best Triple Whale alternative: final verdict

If you're replacing Triple Whale because the profit picture stopped short, Admetrics is the best Triple Whale alternative on this list - it's the only tool here that tracks the click server-side, nets the order down to POAS per SKU, and then moves the budget.

Everything else is a trade. Polar Analytics gives you a strong data foundation, but incrementality is a service you buy per test and it doesn’t act on the result. Northbeam measures better than almost anyone and never touches your costs. Klar covers EU hosting and MMM in one subscription, then stops at the report - no signal back to the ad platforms, no optimizer, no AI layer, so the analysis lands and the budget stays where it was. Hyros tracks a sale that closes on a call, though its profit math ends at revenue less COGS. Wicked Reports is built around new-customer CAC and never sees a margin.

The bottom three are honest about being partial. True Profit is a P&L, not an attribution tool. ThoughtMetric is attribution at $99 with no profit math behind it. Tracify is a tracking layer priced like a platform.

The pattern worth noticing: the tools cluster into ones that measure and ones that calculate profit, and most of them do one or the other. That's why brands leaving Triple Whale so often end up running two subscriptions and reconciling them by hand, which is the problem they were trying to solve.

One last filter before you commit. Run your shortlist against your own data for two weeks and watch where the conversion counts diverge from your ad accounts. A tool that finds 20% more orders than your pixel is either right or wrong, and two weeks of your own numbers settles it faster than any comparison table.

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Frequently Asked Questions

What are the best Triple Whale alternatives in 2026?

The best Triple Whale alternatives are Admetrics, Polar Analytics and Northbeam, depending on which part of Triple Whale fell short. Admetrics is the most complete replacement — server-side tracking, 9 attribution models, POAS per SKU and budget execution in one platform.

Who are Triple Whale's main competitors?

Triple Whale's main competitors are Admetrics, Polar Analytics, Northbeam, Klar and Hyros. Northbeam competes on attribution science at high spend, Polar on BI depth, Klar on EU hosting, Hyros on funnels that close off-site. Admetrics is the one that competes on all four axes at once: tracking, data foundation, profit and action.

What's the best Triple Whale alternative for profit tracking?

Admetrics, if profit means the full picture. It nets COGS, shipping, fees and returns down to POAS per SKU and carries the math through to contribution margin and EBITDA.

How much does Triple Whale cost?

Triple Whale pricing starts at $219/month for Foundation and $749/month for Automate, with a free tier and custom Enterprise quotes. Prices are set by your annual GMV and the package you pick, so the same plan costs more as the store grows. All paid tiers are 12-month subscriptions, and Moby runs on AI credits that can run out mid-month.

Triple Whale vs Admetrics: what's the actual difference?

Triple Whale reports gross margin; Admetrics reports POAS per SKU after COGS, shipping, fees and returns. Triple Whale records through the Triple Pixel with US hosting; Admetrics records server-side on German servers and recovers 20–30% more conversions.