Analytics and attribution

Analytics tools answer two kinds of question. The first is what shoppers do on the site: which pages they visit, where they drop off, what they click and how long the checkout takes. The second is where sales come from: which ads, emails and channels led to orders, and whether they earned more than they cost.

Free web analytics covers the first question for most stores, especially once e-commerce events such as add to cart and purchase are set up. Heatmap and session recording tools add the detail of individual visits, which helps when numbers show a problem on a page but not its cause.

Attribution tools tackle the second question. Each ad platform counts conversions its own way, so the same order often gets claimed by Meta, Google and an email at once. Attribution and profit dashboards pull orders, ad spend and costs into one view and apply a single model, which makes channels easier to compare. Some now use AI to summarize trends or answer questions about the data in plain language.

All of these are estimates. Tracking is blocked by some browsers and cookie choices, and models make assumptions about which touch mattered. Use them to compare and spot trends, and check big decisions with simple tests, such as pausing a channel in one region.

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6 AI e-commerce tools in analytics and attribution

Triple Whale

Analytics and attribution for Shopify brands, combining store, ad and email data with AI summaries.

  • Shopify app
  • Writes copy, images or answers with AI

Northbeam

Marketing attribution and media mix tool for brands that spend across many ad channels.

Polar Analytics

Business intelligence for Shopify brands, joining store, marketing and inventory data in dashboards.

  • Shopify app

Google Analytics

by Google

Free web analytics from Google that tracks visits, sources and purchases, with e-commerce reports.

  • Free plan or free version
  • Developer API

Microsoft Clarity

by Microsoft

Free heatmaps and session recordings from Microsoft, with AI summaries of visitor sessions.

  • Free plan or free version
  • Writes copy, images or answers with AI

Mixpanel

Product analytics for tracking events, funnels and retention, used by apps and online stores.

  • Free plan or free version
  • Developer API

Set up tracking carefully once rather than patching it for years. Agree on the events that matter, such as viewing a product, adding to cart, starting checkout and purchasing, name them consistently, and test them with a real order. Many store platforms and analytics tools have ready integrations that send these events correctly.

Pick a small set of numbers the team looks at every week: revenue, orders, conversion rate, average order value, new versus returning customers and ad spend against revenue. A short weekly review of the same figures catches problems faster than a dashboard nobody opens.

Profit matters more than revenue. A channel can bring plenty of orders at a loss once ad spend, discounts, shipping and returns are counted. Several tools here add product costs and fees to calculate contribution margin by channel or campaign, which gives a clearer picture of where the next dollar of spend should go.

Respect consent. Session recordings in particular capture a lot, so mask personal data and follow cookie rules where your customers live.

Questions about analytics and attribution

Is free analytics enough for a small store?

Usually, once purchase tracking is set up correctly. Add an attribution tool when ad spend is large enough that comparing channels accurately is worth paying for.

Why do my analytics numbers differ from my orders?

Ad blockers, cookie consent choices and tracking gaps mean analytics never sees every visit. Your store's order data is the source of truth for revenue.

Are session recordings legal?

They are widely used, but they collect personal data. Mask form fields and payment details, mention recordings in your privacy policy, and follow cookie consent rules.

What is attribution?

A way of deciding which marketing touchpoints get credit for a sale. Different models give different answers, so pick one, apply it consistently and treat it as an estimate.

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