Independently tested ranking
Best Analytics Tools for Ecommerce in 2026
We compared the best analytics tools for ecommerce on purchase tracking, ad attribution, profit and LTV reporting, shopper behavior insight, privacy and price.
- Tools compared
- 10
- With a free plan
- 5 of 10
- Median entry price
- $9/mo
- Average rating
- 4.5
On this page
- Quick answer
- Our top picks
- Key takeaways
- What is an ecommerce analytics tool?
- Comparison table
- The 10 best ecommerce analytics tools
- Best ecommerce analytics tool by need
- What to look for
- How much ecommerce analytics tools cost
- How we ranked them
- How to choose an ecommerce analytics tool
- FAQ
- About the reviewer
- Related rankings
Which analytics tool is best for ecommerce?
The best analytics tools for ecommerce in 2026 are Google Analytics 4 for free purchase and funnel tracking, Triple Whale for Shopify brands running paid ads, Polar Analytics for blending store, ad and email data, Northbeam for high-spend attribution, and Microsoft Clarity for free heatmaps and session recordings. GA4 and Clarity cost nothing, while dedicated ecommerce attribution tools price plans by store revenue, orders or ad spend.
Our top picks
Best overall
Google Analytics 4
Free purchase funnels, revenue by product and channel, and the tightest link to Google Ads, which makes it the base layer for almost every store.
Paid plans from Free
See why we picked itBest for Shopify brands
Triple Whale
Puts sales, ad spend, ROAS, attribution and profit in one live dashboard, with a free tier to start.
Paid plans from Scales with revenue
See why we picked itBest free behavior analytics
Microsoft Clarity
Free heatmaps and session recordings with no traffic limits show why shoppers abandon product pages and checkout.
Paid plans from Free
See why we picked itKey takeaways
- Start with the free pair: Google Analytics 4 for purchase funnels and revenue by channel, and Microsoft Clarity for heatmaps and recordings of product and checkout pages.
- Ad platforms each claim the same sale. Shopify brands spending across Meta, Google and TikTok usually need a first-party pixel tool like Triple Whale, Polar or Northbeam.
- Most ecommerce attribution software prices by store revenue, orders or ad spend, so your bill grows with your store. Ask for a quote at your current and next-year volume.
- Revenue is not profit. Track contribution margin and customer lifetime value (Lifetimely, Triple Whale) before you scale ad spend.
- Selling to EU shoppers? Matomo and Plausible can track without cookies, and Plausible's $19/mo Business plan adds ecommerce revenue by source.
What is an ecommerce analytics tool?
Ecommerce analytics tools are software that measure how shoppers find, browse and buy from an online store, and the best analytics tools for ecommerce turn traffic, orders, ad spend and behavior into reports on revenue, conversion, profit and customer value. They answer three questions: where buyers come from, why shoppers leave, and which customers are worth paying to acquire.
No single ecommerce analytics platform does all of that well. Web analytics like GA4, Matomo and Plausible track sessions, funnels and revenue by channel. Attribution and profit tools like Triple Whale, Polar, Northbeam and Lifetimely connect Shopify orders to ad spend, costs and LTV. Behavior tools like Clarity, Fullstory and Contentsquare show what happens on product and checkout pages. Most stores combine one tool from two of these groups.
Best ecommerce analytics tools compared
| # | Tool | Best for | Free plan | Paid plans from | Our rating |
|---|---|---|---|---|---|
| 1 | Google Analytics 4 |
Free store and funnel tracking | Yes (standard GA4) | Free | ★4.2 |
| 2 | Triple Whale |
Shopify attribution and profit | Yes (Founders Dash) | Scales with revenue | ★4.5 |
| 3 | Polar Analytics | Unified ecommerce BI | No | Priced by revenue | Not yet reviewed |
| 4 |  Northbeam |
MTA and MMM for big budgets | No | Scales with ad spend | ★4.5 |
| 5 | Lifetimely | LTV, cohorts and profit | Free trial (Shopify App Store) | Priced by orders | Not yet reviewed |
| 6 | Microsoft Clarity |
Free product-page heatmaps | Yes (completely free) | Free | ★4.5 |
| 7 | Contentsquare | Enterprise retail UX analytics | Sales-quoted | Custom | Not yet reviewed |
| 8 |  Fullstory |
Searchable replay and funnels | No (free trial) | Custom | ★4.5 |
| 9 |  Matomo |
Self-hosted, data you own | Yes (self-hosted) | Cloud priced by traffic | ★4.3 |
| 10 |  Plausible Analytics |
Simple cookieless revenue tracking | No (30-day trial) | $9/mo | ★4.8 |
Our rating comes from MakeSuccessOnline's hands-on reviews. Prices are the cheapest paid plan, billed monthly unless marked annual, checked November 2026. Most ecommerce attribution tools price by store revenue, orders or ad spend, so cost depends on your size.
The 10 best ecommerce analytics tools in 2026
Most stores need two kinds of tool: one that measures where revenue comes from and one that shows why shoppers leave. The picks below are ranked for ecommerce, from free essentials to attribution platforms for big ad budgets.
#1Best free ecommerce analytics for most stores
Google Analytics 4
Google's free event-based analytics platform for measuring traffic, engagement and purchases across websites and apps.
- Paid plans from
- Free
- Free plan
- Yes (standard GA4)
- Best for
- Any online store, from new shops to enterprise retailers (via Analytics 360)
- Works on
- Web app; tracking via Google tag, Google Tag Manager and Firebase SDKs for iOS and Android; mobile app for reports
Google Analytics 4 is the default starting point for ecommerce analytics because the standard version is free and covers the full shopping journey. With ecommerce events set up, it records product views, add-to-carts, checkouts and purchases, then shows revenue by product, traffic channel and campaign. Funnel explorations show exactly which step of the path to purchase loses the most shoppers.
Its biggest advantage for stores is the link to Google Ads and Search Console. You can see which campaigns and search queries bring buyers, send purchase events back to Google Ads for better bidding, and build remarketing audiences such as cart abandoners or repeat buyers. The trade-offs are a steep learning curve, some sampled data and attribution that favors Google's channels.
Key features
- Ecommerce reportingTracks product views, add-to-carts, checkouts and purchases, so you can see revenue by product, channel and campaign in one place.
- Funnel explorationsBuild a custom funnel from product page to purchase and see where shoppers drop off, then segment by device or traffic source to find the cause.
- Google Ads linkSend purchase key events back to Google Ads so Google Ads bidding optimizes for sales, and see which campaigns and keywords bring buyers.
- Remarketing audiencesGroup shoppers by behavior, such as cart abandoners or repeat buyers, and use those audiences in Google Ads campaigns.
- Free BigQuery exportSend raw event data to BigQuery so an analyst can join it with order, margin or customer data the standard reports cannot see.
Pricing
| Plan | Price | What you get |
|---|---|---|
| Standard | Free | Full GA4 reporting, explorations, audiences, Google Ads links and BigQuery export |
| Analytics 360 | Custom | Higher data limits, more properties and custom dimensions, SLAs and enterprise support |
List prices as of November 2026; plans change often, so check the vendor's pricing page before you buy. The standard version is free for most stores; data limits apply on retention, custom dimensions and daily BigQuery export.
Pros and cons
Pros
- Free, with no traffic cap for most stores
- Full purchase funnel and revenue reporting
- Best link to Google Ads and Search Console
- Free raw data export to BigQuery
Cons
- Reports are hard to learn for non-analysts
- Some reports use sampled or thresholded data
- Attribution leans toward Google's own channels and models
Is it right for you?
Choose Google Analytics 4 ifYou want free, complete ecommerce tracking and you advertise on Google Ads.
Look elsewhere ifYou want a simple profit dashboard or reliable cross-channel attribution for Meta and TikTok spend.
#2Best for Shopify DTC brands running paid ads
Triple Whale
An analytics and attribution platform for Shopify and DTC brands that combines store, ad and pixel data in one dashboard with AI agents for analysis.
- Paid plans from
- Scales with revenue
- Free plan
- Yes (Founders Dash)
- Best for
- Shopify and DTC ecommerce brands and their agencies
- Works on
- Web, iOS, Android
Triple Whale is built for Shopify brands that spend on Meta, Google and TikTok and are tired of every ad platform claiming the same sale. Its summary dashboard pulls Shopify sales and ad spend together and shows blended ROAS and MER live, so a founder can see in seconds whether yesterday's spend paid off. The free Founders Dash covers these core metrics.
Paid plans add Triple Pixel, a first-party tracking pixel that records customer journeys and attributes orders to channels, with first-click, last-click, linear and other models to compare. It also adds creative analytics, cohort and LTV reports, and a profit view that includes product costs, shipping and fees. Moby AI answers questions about your store and ad data, and the mobile app keeps it all on your phone.
Key features
- Summary dashboardPulls Shopify sales, ad spend and metrics like blended ROAS and MER into one live view, so you stop logging into five ad accounts each morning.
- Triple Pixel attributionA first-party pixel that tracks customer journeys and credits orders to ad channels more reliably than platform-reported numbers.
- Profit and P&L trackingAdds product costs, shipping and fees to show contribution margin, so you scale ads on profit rather than revenue.
- Creative analyticsShows which ad creatives drive sales across platforms, which tells your team what to make more of.
- Moby AIAI agents and chat answer questions about store and ad data and automate routine analysis.
Pricing
| Plan | Price | What you get |
|---|---|---|
| Founders Dash | $0 | Core metrics dashboard for one store |
| Paid plans (Starter and up) | Higher | Triple Pixel attribution, deeper analytics and AI features; price scales with store revenue (GMV) |
| Enterprise | Custom | Advanced attribution and modeling, dedicated support |
List prices as of November 2026; plans change often, so check the vendor's pricing page before you buy. Paid plans are priced by store revenue (GMV), billed monthly or annually.
Pros and cons
Pros
- Free dashboard tier to start
- Built specifically for Shopify brands
- Attribution, creative and profit views in one place
- Strong mobile app
Cons
- Pricing scales with revenue and is not always shown upfront
- Best value only for Shopify and DTC stores
- Attribution numbers still need sense-checking against other sources
Is it right for you?
Choose Triple Whale ifYou run a Shopify brand spending across Meta, Google and TikTok and want one daily view of spend, sales and profit.
Look elsewhere ifYour store is not on Shopify or you barely run paid ads yet.
#3Best ecommerce BI for blending store, ad and email data
Polar Analytics
An ecommerce analytics platform that pulls Shopify, ad and marketing data into one place for reporting and attribution.
- Paid plans from
- Priced by revenue
- Free plan
- No
- Best for
- Shopify and DTC ecommerce brands and their agencies
- Works on
- Web app
Polar Analytics is for Shopify brands that have outgrown spreadsheets. Its no-code connectors pull data from Shopify, Meta and Google ads, Klaviyo and Google Analytics 4 into one set of dashboards, so you can see store revenue, ad spend and email performance side by side without exporting anything. It is built specifically for Shopify brands.
Where it differs from simpler dashboards is flexibility. You can define your own metrics, build custom reports and query the managed warehouse your data lives in or connect it to other BI tools. Polar's own pixel and attribution models compare channel and campaign performance, and an AI assistant answers plain-language questions with charts. It suits brands spending across several channels, not new stores.
Key features
- Unified dashboardsCombines Shopify, ad and email data into one set of dashboards, so the whole team works from the same numbers.
- No-code data connectorsPulls data from Shopify, Meta, Google, Klaviyo and more without engineering work.
- Marketing attributionCompares channel and campaign performance using Polar's own pixel and attribution models.
- Custom reports and metricsDefine metrics your way, such as contribution margin or new-customer ROAS, and build reports on top.
- Data warehouse accessData sits in a managed warehouse you can query or connect to other BI tools as your analysis grows.
Pricing
| Plan | Price | What you get |
|---|---|---|
| Plans | Higher | Dashboards, data connectors and attribution; priced by store revenue or order volume |
| Enterprise | Custom | Advanced features and support, billed annually |
List prices as of November 2026; plans change often, so check the vendor's pricing page before you buy. Plans are priced by store revenue or order volume, billed monthly or annually.
Pros and cons
Pros
- Brings store, ads and email data together
- Built specifically for Shopify brands
- Custom metrics without data engineering
- Attribution and reporting in one tool
Cons
- No free plan and pricing is not fully public
- Overkill for very small stores
- Setup and metric definitions take time
Is it right for you?
Choose Polar Analytics ifYou run a growing Shopify brand on several ad channels and want one flexible source of truth with custom metrics.
Look elsewhere ifYou are a new store with little ad spend, or you only need a quick daily ROAS view.
#4Best attribution for high-spend ecommerce brands
Northbeam
A marketing measurement platform for ecommerce brands that combines multi-touch attribution and media mix modeling to guide ad spend.
- Paid plans from
- Scales with ad spend
- Free plan
- No
- Best for
- Mid-size and large DTC and ecommerce brands with significant paid media budgets
- Works on
- Web
Northbeam is the measurement tool for ecommerce brands whose ad budgets are large enough that a wrong call on channel mix costs real money. Its multi-touch attribution uses first-party pixel data and machine learning to credit sales across paid, owned and organic channels, and it models view-through impact from Meta and TikTok rather than counting clicks alone.
Media mix modeling (MMM+) adds a higher-level view for planning budgets beyond what click data shows, and profitability benchmarks set target ROAS and CAC by channel so your team knows when to scale or cut. Northbeam Apex sends its attribution data back to platforms like Meta to improve their optimization. It is expensive and has a learning curve, so it suits growth teams, not small stores.
Key features
- Multi-touch attributionUses first-party pixel data and machine learning to credit each sale across paid, owned and organic channels.
- Clicks plus modeled viewsAccounts for view-through impact from channels like Meta and TikTok, which click-only reports undercount.
- Media mix modeling (MMM+)Models channel contribution at a higher level, which helps plan quarterly budgets across many channels.
- Northbeam ApexSends Northbeam's attribution data back to ad platforms such as Meta to improve their optimization.
- Profitability benchmarksSets target ROAS and CAC by channel so the team has a clear rule for when to scale or cut spend.
Pricing
| Plan | Price | What you get |
|---|---|---|
| Starter | Higher | Core attribution dashboards; price scales with ad spend or pageviews |
| Professional / Enterprise | Custom | Advanced modeling, MMM and dedicated support |
List prices as of November 2026; plans change often, so check the vendor's pricing page before you buy. Pricing scales with ad spend or pageviews; larger plans are sales-quoted.
Pros and cons
Pros
- Modeling that goes beyond platform-reported ROAS
- Combines MTA and MMM in one tool
- Ad and creative-level detail
- Feeds better data back to ad platforms
Cons
- No free plan and limited public pricing
- Expensive for small brands
- Needs clean tracking and time to calibrate
Is it right for you?
Choose Northbeam ifYou spend heavily across several paid channels and need confident answers on where the next dollar should go.
Look elsewhere ifYour store has modest ad spend; a cheaper dashboard like Triple Whale will answer most of your questions.
#5Best for customer lifetime value and profit on Shopify
Lifetimely
A Shopify app that tracks profit, customer lifetime value and cohorts so brands know what customers are really worth.
- Paid plans from
- Priced by orders
- Free plan
- Free trial (Shopify App Store)
- Best for
- Shopify DTC brands
- Works on
- Web app, installed as a Shopify app
Lifetimely answers the question that decides whether a Shopify brand can scale: what is a customer actually worth? It builds a daily profit and loss view from revenue, product costs, shipping, fees and ad spend, then reports customer lifetime value by first product purchased, acquisition channel and discount code. It installs as an app from the Shopify App Store.
Cohort analysis shows how repeat purchases and revenue build for each group of customers over time, and LTV predictions help you set realistic acquisition cost targets. CAC and payback tracking shows how long it takes to earn back what you spent, and customer journey insights show which product people buy next, which is useful for retention emails. Entering cost data takes effort up front.
Key features
- Profit and loss dashboardA daily P&L combining revenue, product costs, shipping, fees and ad spend, so you see real profit, not just sales.
- Customer lifetime valueLTV reports by first product, channel and discount code show which customers are worth acquiring.
- Cohort analysisTracks how repeat purchases and revenue develop for each customer cohort over time.
- LTV predictions and CAC targetsPredicts future customer value so you can set an acquisition cost you can afford, and tracks CAC payback.
- Customer journey insightsShows which products customers buy next, which guides cross-sell offers and retention campaigns.
Pricing
| Plan | Price | What you get |
|---|---|---|
| Paid plans | Higher | Profit dashboard, LTV and cohort reports; priced by monthly order volume |
List prices as of November 2026; plans change often, so check the vendor's pricing page before you buy. Plans are priced by monthly order volume. Free trial through the Shopify App Store.
Pros and cons
Pros
- Clear profit view without spreadsheets
- Strong LTV and cohort reports
- Built specifically for Shopify
- Helps set smarter ad spend targets
Cons
- Shopify-focused
- Less useful for marketing attribution than dedicated tools
- Cost data setup takes effort
Is it right for you?
Choose Lifetimely ifRepeat purchase drives your Shopify brand and you want to know true LTV, payback and daily profit.
Look elsewhere ifYou sell outside Shopify or your main need is multi-touch attribution.
#6Best free heatmaps and session recordings for stores
Microsoft Clarity
A free behavior analytics tool from Microsoft with heatmaps, session recordings and AI summaries.
- Paid plans from
- Free
- Free plan
- Yes (completely free)
- Best for
- Store owners, marketers and UX teams of any size
- Works on
- Websites, iOS and Android apps
Microsoft Clarity answers the question GA4 cannot: why shoppers leave a product page without adding to cart. Click and scroll heatmaps show whether people reach your reviews, size guide or add-to-cart button, and session recordings let you watch real visits through cart and checkout. It is completely free with no traffic limits, so even a busy store can record everything.
Rage and dead click detection flags shoppers who tap a broken variant selector or an image that does not zoom, which are often quick fixes. Copilot in Clarity summarizes recordings so you do not have to watch hours of them. It connects with Google Analytics and works with Shopify and WordPress. It does not measure revenue, so treat it as a companion to your main analytics.
Key features
- HeatmapsShows where shoppers click and how far they scroll on product and category pages, split by device, so you can spot missed add-to-cart buttons.
- Session recordingsWatch real visits filtered by page, device or behavior to see exactly where people get stuck in cart and checkout.
- Rage and dead click detectionFlags repeated frustrated clicks and clicks on elements that do nothing, which often point to bugs on product pages.
- Copilot in ClaritySummarizes recordings and dashboards and answers questions in plain language, which saves hours of watching replays.
- Google Analytics integrationConnects with Google Analytics so you can move from a drop-off number to the recordings behind it.
Pricing
| Plan | Price | What you get |
|---|---|---|
| Free | $0 | Heatmaps, session recordings, frustration signals, Copilot and integrations, with no traffic limits |
Clarity is completely free, with no traffic limits and all features included, as of November 2026.
Pros and cons
Pros
- Completely free with no traffic limits
- Quick to set up on Shopify and WordPress
- Frustration signals find checkout problems fast
- AI summaries save time watching recordings
Cons
- Does not track revenue or conversions on its own
- No surveys or A/B testing
- Uses cookies, so EU visitors need consent
Is it right for you?
Choose Microsoft Clarity ifYou want to see why shoppers abandon product pages and checkout without paying anything.
Look elsewhere ifYour company cannot send behavior data to Microsoft, or you need revenue-linked UX analysis.
#7Best enterprise experience analytics for large retailers
Contentsquare
An experience intelligence platform with heatmaps, session replay, journey analysis and product analytics for large digital teams.
- Paid plans from
- Custom
- Free plan
- Sales-quoted
- Best for
- Mid-market and enterprise ecommerce and retail brands
- Works on
- Websites and mobile apps
Contentsquare is built for large ecommerce and retail teams with high traffic and many people working on the site. Zone-based heatmaps show click rate, attention and revenue for each area of a page, so merchandisers can see whether a homepage banner or a product carousel actually earns money. Journey analysis shows the paths shoppers take and where they leave.
Impact quantification estimates how much revenue an issue puts at risk, which helps prioritize a long backlog of fixes. Session replay, frustration scoring and error analysis link problems to the sessions they affect. It also includes product analytics, built on its acquisition of Heap, and surveys and feedback, building on Hotjar, which no longer accepts new sign-ups. Expect enterprise pricing and onboarding.
Key features
- Zone-based heatmapsShows click rate, attention and revenue per page zone, so teams see which product page and homepage content earns money.
- Impact quantificationEstimates the revenue at stake from a given issue, so you fix the problems that cost the most first.
- Journey analysisVisualizes the paths shoppers take across category, product and cart pages and where they leave.
- Session replay and frustration scoringReplays real sessions and automatically surfaces those with rage clicks, errors and other struggle signals.
- Error analysisTracks JavaScript and API errors and ties them to the sessions they affect, which catches checkout bugs early.
Pricing
| Plan | Price | What you get |
|---|---|---|
| Enterprise plans | Custom | Experience analytics, product analytics and voice-of-customer modules; priced by traffic volume and modules, billed annually |
List prices as of November 2026; plans change often, so check the vendor's pricing page before you buy. Contentsquare is sales-quoted and billed annually, priced by traffic volume and modules.
Pros and cons
Pros
- Very deep ecommerce and revenue analysis
- Heatmaps, replay, product analytics and feedback in one platform
- Built for large, high-traffic sites
- Mobile app support
Cons
- Sales-quoted pricing aimed at enterprise budgets
- Steeper learning curve than simple heatmap tools
- Overkill for small stores
Is it right for you?
Choose Contentsquare ifYou run a large retail site and need to tie UX issues to revenue across many teams.
Look elsewhere ifYou are a small or mid-size store that wants self-serve monthly pricing.
#8Best session replay for finding checkout friction
Fullstory
A behavioral data platform that captures every interaction on websites and apps for session replay, heatmaps and analytics.
- Paid plans from
- Custom
- Free plan
- No (free trial)
- Best for
- Ecommerce, product, UX and engineering teams at mid-size and enterprise companies
- Works on
- Web app; capture for websites and native iOS and Android apps
Fullstory suits mid-market and enterprise stores where checkout problems cost enough to justify a dedicated replay tool. Its session replay is searchable by what shoppers did, so you can find every visit where someone applied a coupon and then left, or hit an error on the payment step. Funnels measure each checkout step and link to replays of the shoppers who dropped off.
Autocapture records interactions without tagging, so you can define events and analyze them retroactively instead of waiting weeks for new data. Frustration signals flag rage, dead and error clicks automatically, and dev tools attach console logs and network requests to sessions for engineers. It covers native iOS and Android apps too, and can send behavioral data to Snowflake or BigQuery.
Key features
- Session replayPixel-accurate playback of real sessions, searchable by what shoppers did, such as using a promo code or reaching the payment step.
- Funnels and conversionsMeasures step-by-step checkout conversion and jumps into replays of shoppers who dropped off.
- Frustration signalsAutomatically flags rage clicks, dead clicks, error clicks and thrashed cursors on product and checkout pages.
- AutocaptureCaptures interactions without tagging, so you can define new events and analyze past sessions retroactively.
- Dev tools in replayAttaches console logs and network requests to sessions, so engineers can reproduce and fix checkout bugs.
Pricing
| Plan | Price | What you get |
|---|---|---|
| Business | Custom | Session replay, heatmaps, funnels and frustration signals; priced by monthly sessions |
| Advanced | Custom | More analytics and data features |
| Enterprise | Custom | Full platform, advanced governance and support |
List prices as of November 2026; plans change often, so check the vendor's pricing page before you buy. All plans are quote-only, billed annually and priced by monthly sessions. A free trial is available.
Pros and cons
Pros
- High-quality session replay with strong search
- Automatic frustration signals
- Autocapture enables retroactive analysis
- Web and native mobile app support
Cons
- No published pricing; quote only
- No free plan
- Pricey for small stores
Is it right for you?
Choose Fullstory ifYou run a mid-size or larger store and want engineers and UX teams to find and fix checkout friction fast.
Look elsewhere ifYou are a small store on a tight budget; Microsoft Clarity covers the basics for free.
#9Best privacy-compliant ecommerce analytics you own
Matomo
An open-source Google Analytics alternative you can self-host for free or use as a hosted cloud service.
- Paid plans from
- Cloud priced by traffic
- Free plan
- Yes (self-hosted)
- Best for
- Stores, agencies and privacy-focused businesses that want full data ownership
- Works on
- Cloud or self-hosted (On-Premise), websites and apps
Matomo is the closest thing to Google Analytics that you fully own. Its ecommerce reports track orders, revenue, products and abandoned carts, and because the data is never sampled, small product-level numbers stay accurate. It works with WooCommerce, Shopify and Magento, and the Google Analytics importer brings your history across so year-on-year comparisons still work.
For stores selling into the EU, the cookieless tracking option and full data ownership make privacy compliance simpler. You can run the free open-source version on your own server or pay for Matomo Cloud, which includes heatmaps, session recordings, funnels and A/B testing. On self-hosted installs those premium features cost extra, and someone has to maintain the server.
Key features
- Ecommerce trackingTracks orders, revenue, products and abandoned carts in dedicated ecommerce reports.
- Raw data ownershipYou own 100% of the data with no sampling, which keeps product and campaign numbers accurate.
- Cookieless tracking optionCan be configured to track without cookies, which helps stores meet privacy rules.
- Funnels and A/B testingFind checkout drop-off points and test page changes; included in Cloud and paid for self-hosted installs.
- Google Analytics importerBrings historical Google Analytics data into Matomo so your reports do not start from zero.
Pricing
| Plan | Price | What you get |
|---|---|---|
| On-Premise | Free | Self-hosted core analytics, goals and ecommerce; you pay for your own hosting |
| Cloud | Higher | Hosted by Matomo, priced by monthly hits, with heatmaps, recordings and funnels included |
| On-Premise premium bundles | Higher | Yearly bundles that add premium features to self-hosted installs |
List prices as of November 2026; plans change often, so check the vendor's pricing page before you buy. Cloud is priced by monthly hits, with two months free on annual billing, and has a free trial with no card.
Pros and cons
Pros
- Free self-hosted version with full data ownership
- Strong ecommerce reports with no sampling
- Can run without cookies
- Imports your old Google Analytics data
Cons
- Self-hosting needs technical skills and upkeep
- Premium features cost extra on self-hosted installs
- Cloud price rises with traffic
Is it right for you?
Choose Matomo ifYou want detailed ecommerce analytics with full data control and privacy compliance, especially for EU shoppers.
Look elsewhere ifYou want a simple one-page dashboard and nobody on your team can manage hosting or setup.
#10Best simple, cookieless analytics for small stores
Plausible Analytics
Lightweight, cookie-free, open-source web analytics on a single simple dashboard.
- Paid plans from
- $9/mo
- Free plan
- No (30-day trial)
- Best for
- Small ecommerce stores, startups and privacy-conscious site owners
- Works on
- Cloud or self-hosted (Community Edition), websites
Plausible is for small stores that find GA4 too much. Every key number sits on one page, and clicking a source, page or country filters the whole dashboard. Its small script uses no cookies and collects no personal data, which helps with privacy rules and keeps pages light. It is open source, with a free self-hosted edition.
For ecommerce, the Business plan at $19/mo is the one to look at: it adds funnels and ecommerce revenue, so you can see which traffic sources and campaigns bring paying customers. Goals and custom events track actions like add-to-cart on every plan. It imports Google Analytics history and sends email or Slack reports. It will not replace merchandising reports for a large catalog.
Key features
- Ecommerce revenueOn the Business plan, attributes revenue to traffic sources and campaigns, so you see which channels bring paying customers.
- FunnelsOn the Business plan, build a funnel from product page to checkout to see where shoppers drop off.
- Goals and custom eventsTrack actions like add-to-cart or newsletter sign-ups and see conversion rates by source on every plan.
- Cookie-free trackingA small script with no cookies and no personal data, which helps with privacy rules and keeps pages fast.
- One-page dashboardAll key numbers on one page; click any source, page or country to filter everything by it.
Pricing
| Plan | Price | What you get |
|---|---|---|
| Starter | $9/mo | 1 site, up to 10k monthly pageviews, goals, custom events and Google Analytics import |
| Growth | $14/mo | Up to 3 sites and 3 team members, shared links and embedded dashboards |
| Business | $19/mo | Up to 10 sites, funnels, ecommerce revenue, custom properties and the Stats API |
| Enterprise | Custom | SSO, higher API limits, raw data exports and priority support |
List prices as of November 2026; plans change often, so check the vendor's pricing page before you buy. Prices shown are for the lowest pageview tier and rise with traffic. 30-day free trial, no card; the self-hosted Community Edition is free.
Pros and cons
Pros
- Easiest dashboard in this list
- No cookies and a very small script
- Low starting price for small stores
- Open source, with a self-hosted option
Cons
- Revenue and funnels need the Business plan
- Not built for user-level or merchandising analysis
- No free cloud plan after the trial
Is it right for you?
Choose Plausible Analytics ifYou run a small store and want privacy-friendly analytics with revenue by source that anyone can read.
Look elsewhere ifYou need product-level merchandising reports, cohorts or ad attribution.
Best ecommerce analytics tool by need
- Free purchase and funnel trackingGoogle Analytics 4
- Shopify ad attribution and daily ROASTriple Whale
- One source of truth across store, ads and emailPolar Analytics
- Budget planning for big ad spendNorthbeam
- Customer lifetime value and profitLifetimely
- Free heatmaps on product pagesMicrosoft Clarity
- Large retail sites tying UX to revenueContentsquare
- Finding checkout bugs and frictionFullstory
- Privacy-compliant analytics you ownMatomo
What to look for in an ecommerce analytics tool
- Full purchase funnel trackingThe tool should record product views, add-to-carts, checkout steps and purchases, so you can see exactly which step loses shoppers. GA4, Matomo and Plausible's Business plan all cover this.
- First-party attributionAd platforms over-count sales. A first-party pixel, like Triple Pixel or Northbeam's, credits orders across Meta, Google and TikTok from your own data instead.
- Profit, not just revenueLook for contribution margin that includes product costs, shipping, fees and ad spend. Triple Whale and Lifetimely build this into a daily P&L.
- LTV and cohort reportsRepeat purchase decides how much you can pay for a customer. Cohort and LTV reports by first product or channel show which customers are worth acquiring.
- Store and ad platform connectorsCheck native connections to your store platform, ad accounts and email tool. Most DTC attribution tools are built around Shopify, so confirm support if you sell elsewhere.
- Privacy and consent fitIf you sell to EU shoppers, check whether the tool needs cookie consent. Matomo and Plausible can run without cookies, while GA4 relies on consent mode.
How much do ecommerce analytics tools cost in 2026?
Ecommerce analytics pricing runs from free to sales-quoted enterprise contracts. Most dedicated ecommerce tools scale with store revenue, orders or ad spend rather than seats.
| Tier | Typical price | Tools at this level | Who it suits |
|---|---|---|---|
| Free | $0 | Google Analytics 4, Microsoft Clarity, Triple Whale Founders Dash, Matomo self-hosted | New and small stores, and every store as a base layer |
| Simple paid analytics | $9 to $19/mo | Plausible Analytics (Starter at $9/mo; Business at $19/mo adds ecommerce revenue and funnels) | Small stores that want privacy-friendly, easy reports |
| Ecommerce attribution and profit | Scales with revenue or orders | Triple Whale paid plans, Polar Analytics, Lifetimely | Growing Shopify brands spending on several ad channels |
| Enterprise | Custom, usually annual | Northbeam, Contentsquare, Fullstory, Analytics 360 | High-spend brands and large retailers |
Entry prices from vendor pricing information, November 2026. Revenue-based plans vary by store size.
Before you pay for ecommerce analytics, set up GA4 ecommerce tracking and Microsoft Clarity. Both are free and answer most early questions about funnels and product-page friction. Add a paid attribution or profit tool once ad spend across several channels makes platform-reported ROAS unreliable, and get quotes at your expected revenue for next year, because revenue-based pricing rises as you grow.
How we chose the best ecommerce analytics tools
We started with the analytics, attribution and behavior tools in the MakeSuccessOnline directory and added well-known ecommerce tools we have not yet reviewed, such as Polar Analytics, Lifetimely and Contentsquare. We assessed each one against the jobs a store actually needs done: tracking the purchase funnel, crediting sales to ad channels, measuring profit and LTV, and finding friction on product and checkout pages. We scored them on the criteria below using hands-on reviews and vendor documentation, and checked pricing in November 2026.
- Ecommerce depthPurchase funnels, product and revenue reports, profit and LTV.25%
- Attribution accuracyHow well it credits orders across ad channels with first-party data.20%
- Store and ad integrationsNative connections to store platforms, ad accounts and email tools.15%
- Pricing and valueFree plans and how cost scales with revenue, orders or traffic.15%
- Ease of useHow quickly a founder or marketer gets answers without an analyst.15%
- Privacy and data ownershipConsent needs, cookieless options and control over raw data.10%
How to choose an ecommerce analytics tool
- Set up the free base layer firstInstall GA4 with ecommerce events and Microsoft Clarity. Make sure purchases and revenue in GA4 roughly match your store's order report.
- Name the question you cannot answerIs it which ads drive sales, what a customer is worth, or why shoppers leave checkout? Each points to a different type of tool.
- Match the tool to your ad spendSmall budgets rarely need paid attribution. Once spend is spread across Meta, Google and TikTok, a first-party pixel tool is worth testing.
- Check your store platformTriple Whale, Polar and Lifetimely are built around Shopify. On WooCommerce or Magento, check connectors or look at Matomo.
- Get quotes at next year's volumeRevenue, order and ad spend pricing grows with you. Ask what you will pay at your current size and when you double.
- Load costs and check against your booksEnter product costs, shipping and fees, then compare the tool's profit and revenue with your accounting before you trust it.
Check during the free trial
- Do its revenue and order counts match your store's own reports?
- How does its attribution compare with Meta and Google's reported conversions?
- Does it connect natively to your store, ad accounts and email tool?
- Can you see profit after product costs, shipping and fees?
- What will the plan cost at your revenue next year?
Red flags
- Attribution that adds up to more sales than your store actually made
- No way to export your data or access it outside the dashboard
- Pricing you cannot see until after a long sales process
- Revenue numbers that never reconcile with your store or accounting
- Annual contracts required before you can test with your own data
Ecommerce analytics tools FAQ
What are the best analytics tools for ecommerce?
The best analytics tools for ecommerce are Google Analytics 4 for free funnel and revenue tracking, Triple Whale for Shopify ad attribution and profit, Polar Analytics for unified store, ad and email reporting, Northbeam for high-spend attribution, and Microsoft Clarity for free heatmaps. Most stores pair one measurement tool with one behavior tool.
What is the best free ecommerce analytics tool?
Google Analytics 4 is the best free ecommerce analytics tool, with purchase funnels, revenue by product and channel, and Google Ads links. Pair it with Microsoft Clarity, which is completely free with no traffic limits, for heatmaps and session recordings. Triple Whale's Founders Dash and self-hosted Matomo are also free.
What are the best analytics tools for Shopify?
For Shopify, Triple Whale is the best all-round choice for attribution, ROAS and profit, Polar Analytics suits brands that want custom metrics across many data sources, and Lifetimely is best for LTV and cohorts. Run GA4 and Microsoft Clarity alongside them for funnels and on-page behavior.
Triple Whale vs Northbeam: which is better?
Triple Whale is better for most Shopify brands because it combines attribution, profit, creative analytics and a free tier in an easy dashboard. Northbeam is better for brands with large ad budgets that need media mix modeling, modeled view-through impact and budget guidance. Northbeam has no free plan and is expensive for small brands.
Is Google Analytics 4 enough for an ecommerce store?
GA4 is enough for many small and mid-size stores, since it tracks the full purchase funnel and revenue by channel for free. It falls short on profit, LTV and cross-channel ad attribution, and its attribution leans toward Google's channels. Add a dedicated tool once you spend across several ad platforms.
How much do ecommerce analytics tools cost?
Ecommerce analytics tools range from free (GA4, Clarity) to custom enterprise contracts. Plausible starts at $9/mo, with ecommerce revenue on its $19/mo Business plan. Attribution and profit tools like Triple Whale, Polar and Lifetimely price by revenue or orders, while Northbeam, Contentsquare and Fullstory are quote-based.
What is the best privacy-friendly ecommerce analytics tool?
Matomo is the best privacy-friendly option for detailed ecommerce reports, because you own all the data, it does not sample, and it can track without cookies. Plausible is simpler and cookie-free, with ecommerce revenue by source on its Business plan. Both import Google Analytics history.
How do I choose an ecommerce analytics tool?
Choose an ecommerce analytics tool by starting with the question you cannot answer today. Use GA4 and Clarity for funnels and friction, a first-party attribution tool once ad spend spans several channels, and an LTV tool if repeat purchase drives growth. Then check store connectors and pricing at next year's revenue.
About the reviewer
Editor & Reviewer, MakeSuccessOnline
William Harrison is an editor and reviewer at MakeSuccessOnline. He reviews each tools ranking before it goes live, checking plans, prices, free tiers and features against the tool's own documentation, and keeps rankings current as tools change.