Microsoft Clarity in Polar: behaviour, read against revenue.
Microsoft Clarity shows you what people did on the site. What it cannot show is what that behaviour was worth, because the order, the cost of goods and the ad spend all live somewhere else. Bring sessions, funnels and experiments into Polar and behaviour is finally read against revenue and contribution margin.
/Setup Guide
How to Connect Microsoft Clarity to Polar.
A Polar account with Shopify connected, access to your Microsoft Clarity account, and Polar's AI Data Engineer, which builds the connector from a plain-language request.
01 · What you need
A Polar account with Shopify
A Polar account with Shopify connected. Microsoft Clarity data only means something read against the orders behind it.
Connect your data →Your Microsoft Clarity account
Access to Microsoft Clarity with the site or app you want to read, and its API or export enabled.
Open Microsoft Clarity →Polar's AI Data Engineer
No native Microsoft Clarity connector yet? Describe what you need in plain language and the AI Data Engineer reads the Microsoft Clarity API, writes the connector and pipes it into your warehouse, in minutes.
02 · Bring Microsoft Clarity into Polar
1
Ask for the connector ~ minutes
Plain language, no code.
Tell Polar's AI Data Engineer what you want from Microsoft Clarity in plain language. It reads the source documentation, lays out everything the API offers by category, then writes the connector and pipes the data into your warehouse as governed data. No code, and it ships in minutes.
Worth knowing: this also works on connectors you already have. If the Microsoft Clarity API exposes a field, you can have it, down to a single hidden one the standard connector never pulled.
2
Sessions joined to orders automatic
Behaviour, meet revenue.
Polar joins Microsoft Clarity sessions and events to the orders that followed, so a funnel step is measured in revenue and margin rather than in drop-off percentage alone.
3
Prioritise by money the payoff
The leak that costs most.
Pages and steps are ranked by the revenue their gap costs, not by their conversion rate, so CRO work is sequenced by impact instead of by whichever number looks worst.
Side by side
Microsoft Clarity shows the drop-off. Polar shows what it cost.
Microsoft Clarity tells you where people leave, in percentages, on sessions it cannot price. The order, the cost of goods and the ad spend all live elsewhere, so the worst-looking step is not necessarily the expensive one. Polar joins behaviour to revenue and ranks the leaks by money.
Microsoft Clarity on its ownon its own
+Microsoft Clarity with Polarblended
Drop-off is a percentage with no value attached.
Each step ranked by the revenue its drop-off costs.
A page with traffic looks successful.
Pages read against the orders and the margin behind them.
A test wins on conversion and may still lose money.
Variants judged on contribution margin, not on lift alone.
Behaviour sits apart from spend and from margin.
Sessions blended with channels, cost and net profit.
The Gap
The connector is only half of it.
Once Microsoft Clarity is modelled against your real orders inside Polar, you can use the result wherever you already work. Ask Polar in plain language, pull it live through the Polar MCP, or schedule it into the report your team reads every morning.
Microsoft Clarity
sessions, funnels, experiments
Polar
behaviour tied to revenue