Shopify analytics that tells you what to do next
Your admin already tells you conversion rate is down. What it does not tell you is which template, which step, which variant, and what to change. That second question is the one worth paying for.
Source: Contentsquare — 2025 Digital Experience Benchmarks — 90bn sessions, 389bn page views, 6,000 websites
Your admin answers a different question
Shopify's built-in reports are good at what they are for: what sold, to whom, from which channel, for how much. That is accounting, and it is the question a business owner asks at the end of the week. The question that changes next week's number is different — it is what happened inside the visits that did not convert, and no totals report can answer it.
Source: Shopify Help Center — Behaviour reports documentation
| Behavioural analytics | Built-in reporting | |
|---|---|---|
| Question it answers | Why did this visit fail, and where | What did we sell, and to whom |
| Unit of analysis | The session, the element, the step | The order, the channel, the day |
| What you do with it | Change something on a template | Decide budget, stock and pricing |
| When it is wrong to use | Financial reporting — it is not the book of record | Diagnosing a drop-off — it cannot see inside the visit |
Where the other one wins: If your question is commercial rather than experiential — margin, cohort value, channel payback — the built-in reports and a BI tool are the right answer and behavioural analytics is a distraction. Most stores need both, for different meetings.
What behavioural data actually records
The useful primitive is not a page view, it is an interaction with a thing. Which element, in which template, at which scroll depth, on which device, in a session that did or did not end in an order. Once that exists, questions that were guesswork become lookups.
- Which product template loses the most sessions before add-to-cart
- What people click that is not clickable — the fastest fix on any storefront
- How far down the page the answer to their question actually sits
- Where in the cart-to-checkout path the drop is steepest, by device
The shortest path from a number to a cause is watching the visit that produced it. Read on →
How DynoWeb does it
Before you install
Does this replace Shopify Analytics or GA4?
No, and it is not trying to. Those are your source of truth for orders, sessions and channel reporting. DynoWeb sits on top and answers the behavioral why. Most stores run both.
Will the session numbers match my Shopify admin?
Close, but rarely identical. Every vendor counts sessions and filters bots slightly differently. Large gaps mean something is misconfigured; small ones are normal across the whole category.
Can I get the data out?
Yes — MCP integration exposes your store data to Claude, Cursor and ChatGPT, so you are not limited to the reports we shipped.
Analytics that finishes the sentence
Install DynoWeb and see the why behind the numbers you already have.