Ecommerce analytics platforms: 10 tools by decision
Ecommerce analytics platforms compared by the decision they support: SKU-level Shopping actions, attribution, profit, retention or a shared data foundation.
An ecommerce analytics platform is software that joins store, advertising and cost data to answer a commercial question: which products to push, which channel earns its budget, which customers are worth keeping. Among ecommerce analytics tools, the useful one is the one whose answer changes a decision, not the one with the most dashboards.
Data integration matters more than how a dashboard looks: Adobe and Incisiv’s retail research names fragmented customer data as a brake on execution, and another reporting layer doesn’t fix that.
Which decision should an ecommerce analytics platform support?
Write down the decision, the evidence it needs and where the result must go, then shortlist by that:
| Decision | Evidence | Result goes to | Tools to compare |
|---|---|---|---|
| Which products get more ad budget in Shopping | ROAS or POAS per product, margin, stock, competitor prices | Merchant Center labels | Product Metrics |
| Which channel earns the budget | Multi-touch attribution, media mix | Media plan | Northbeam, Triple Whale |
| Whether products make money after costs | Costs, refunds, fees per order | P&L report | TrueProfit, Lifetimely, Triple Whale |
| Which customers to keep or win back | Cohorts, LTV, segments | Audiences, email tools | Peel Insights, RetentionX, Lifetimely |
| One set of numbers for every team | Warehouse, semantic layer | Shared reports | Polar Analytics, Daasity, Glew |
| Platform | Core focus | Pricing model |
|---|---|---|
| Product Metrics | Google Shopping and Performance Max by SKU | First €10K of rolling 30-day Shopping spend free, then graduated bands excl. VAT; Price Monitoring €0.004 per check |
| Triple Whale | Ecommerce analytics and attribution | By GMV and package |
| Northbeam | Cross-channel measurement | Sales-led |
| Polar Analytics | Data platform and BI | By products and business scale |
| Daasity | Omnichannel data and analytics | Public starting price; enterprise custom |
| Glew | Commerce reporting and data integration | Pro and custom-priced Plus |
| Lifetimely | Shopify profit and customer value | By monthly order volume |
| Peel Insights | Retention and subscriptions | By monthly order volume |
| TrueProfit | Profit after costs | Public tiers with order caps |
| RetentionX | Customer analytics and activation | On request |
Vendor pricing changes often: check each pricing page before you compare.
Which platform fits SKU-level Google Shopping decisions?
One that ends in a product action, not a chart: a priority change your Shopping and Performance Max campaigns pick up.
Product Metrics
Product Metrics answers which products should get more or less paid traffic. Its ML places each product in one of six segments (Stars, Question Marks, Cash Cows, Dogs, Drainers, Ghosts) by ad volume and return against your ROAS or POAS targets.
Product Rules write the result to Merchant Center as custom labels you approve.
| Module | What it adds |
|---|---|
| Product Segmentation | Six segments plus a 0–100 Product Score you weight yourself |
| Product Journeys | What buyers purchase after clicking a product, including other products |
| Competitor Prices | Own-brand matching by style, colour and custom dimensions, without shipping |
| Inventory Insights | Stockout warnings and slow movers from demand and lead time |
| Full Signal Tracking | Server-side conversions through every ad blocker, sending revenue, profit, new and returning customers and LTV to Google Ads and Meta; included in Pro |
Fees apply to rolling 30-day Google Shopping spend: the first €10K is free and each band above it has its own rate, excl. VAT. The 30-day trial needs a card, and cancelling during it costs nothing.
Show the dataHide the data
| Rolling 30-day Shopping spend | Fee excl. VAT |
|---|---|
| €10K | €0.00 |
| €25K | €97.50 |
| €50K | €247.50 |
| €100K | €547.50 |
Don’t pause a product on its own revenue alone: check first whether its clicks lead buyers to other profitable products. Pair Product Metrics with an attribution tool if you also need cross-channel reporting.
Which platforms fit cross-channel attribution?
The ones built to split credit between channels, which is a budget question rather than a product one. Ask any of them:
| Question | Why it matters |
|---|---|
| Which attribution window and model produced this number? | Different settings give different winners |
| Which conclusions stay uncertain? | Attribution assigns credit; it doesn’t prove cause |
| Which revenue and customer type are counted? | Teams can argue over the same number with different definitions |
Northbeam
Northbeam focuses on first-party multi-touch attribution, customer journeys, cross-channel dashboards and media mix modelling, with view-through measurement. SKU-level merchandising and Merchant Center labels aren’t its workflow.
Triple Whale
Triple Whale combines reporting, attribution, website analytics and AI-assisted analysis for Shopify brands, with product and variant reports on ad spend, ROAS, contribution margin and return rate. Ask the vendor to reproduce your contribution-margin calculation, and check which capabilities sit in higher tiers.
Which platforms fit profit and customer value?
Tools that put costs and repeat purchases next to revenue. A profit view is only as good as the costs you feed it.
| Tool | Best at | Ask the vendor |
|---|---|---|
| TrueProfit | Profit after costs per product and campaign | Trace one order to displayed profit |
| Lifetimely | Profit plus customer lifetime value | Is LTV revenue, profit or a forecast? |
| Peel Insights | Cohorts and subscriptions | Build a segment you would use |
| RetentionX | Segments that become audiences | Follow one segment to its audience |
TrueProfit
TrueProfit shows product and campaign results after COGS, shipping and custom costs, with UTM-based ROAS reporting and a multi-store view.
Lifetimely
Lifetimely combines P&L reporting, LTV, cohorts, segments and product journeys for Shopify.
Peel Insights
Peel Insights centres on cohorts, LTV, subscriptions and customer journeys for Shopify and DTC brands, with scheduled reports.
RetentionX
RetentionX joins product analysis, LTV, cohorts and RFM segments with audience activation; higher tiers add identity resolution and conversion APIs.
Which platforms fit a shared data foundation?
When finance and marketing calculate the same metric differently, the answer is shared definitions, not another campaign dashboard.
| Tool | Foundation | Test with |
|---|---|---|
| Polar Analytics | Snowflake database and semantic layer | A report with refunds and variants |
| Daasity | Omnichannel data model | Your range across store, marketplace and retail |
| Glew | Packaged or managed reporting | Your own KPI definitions |
Polar Analytics
Polar Analytics pairs a dedicated Snowflake database with an ecommerce semantic layer, dashboards and data activations.
Daasity
Daasity unifies ecommerce, marketplace, retail, inventory and marketing data for omnichannel brands. The hard part is product identity across channels: ask it to map your real range.
Glew
Glew’s Commerce Data Cloud offers packaged reporting (Pro) and managed integration and warehousing (Plus), plus customer segments synced to Klaviyo and Mailchimp. Decide whether you want standard answers or a flexible environment you maintain.
How do you test ecommerce analytics software before buying?
Test ecommerce analytics software with a decision you are already arguing about, not a demo account. For a Shopping retailer, that might be a product with strong ad returns and unclear contribution after discounts, fulfilment and refunds.
| Evidence | Passes when |
|---|---|
| One real order | Profit matches your finance team’s number |
| Refresh timing | Data is fresh enough for the decision |
| Output | The result lands where the decision is made |
- Reconcile the dataCan your team reconcile orders, variants, refunds, costs, and attributed outcomes?
- Confirm timing and rulesAre refresh latency, attribution windows, modelled signals, and historical changes visible?
- Turn findings into actionCan someone turn a finding into an auditable action in the required destination?
- Price the full packageWhat will the subscription, add-ons, implementation, and internal ownership cost at your order, revenue, and advertising volume?
Returns and shipping belong in that check (Saras Analytics on margin leaks), and Performance Max reporting has gaps in channel, search-term and placement detail (Rob Sanders’ analysis). Compare ad reports with orders, margin and stock rather than expecting one screen to settle it.
Some questions sit outside this list:
- how to choose an ecommerce analytics tool covers the wider buying process
- heat map tools for GA4 cover landing-page friction
- Amazon profit analytics software covers marketplaces
Final thoughts
Most analytics stacks fail at the last step: the insight never reaches the place where budget is set. Buy for that step.
Write your three recurring decisions on one page, match each to a row in the decision table, and shortlist two tools per row.
Written by
Berend Vrakking, Founder of Product Metrics
1M+ products analysed · Nominated at the Dutch Search Awards for Best Measurement Campaign (2023) and Best Use of Data (2024)
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Frequently asked questions.
Should a Shopify brand start with attribution or profit analytics?
How much does an ecommerce analytics platform cost?
Can one platform cover every analytics need?
See which of your products to push, fix or pause. Start with your own products, or a 30-second estimate.
Check one product first: work out its break-even ROAS in the calculator. Then see where all your products stand.
Questions, or want to spar about your products? Book a demo: a video call with Berend, then a demo account.