PostHog integration

PostHog in Polar: product behaviour, blended with revenue.

PostHog knows what people do; Polar knows what they're worth. Bring PostHog into Polar through the AI Data Engineer and read product events, funnels and behavioural cohorts next to Polar's governed revenue and attribution, so behaviour finally ties to money.

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PostHog → Polar

PostHog product behaviour, tied to revenue and margin.

Events, funnels and behavioural cohorts from PostHog blended with your orders, so retention behaviour is read against contribution margin instead of sitting in its own tool.
Product events
"What are people doing?"
Events and funnels from PostHog, reasoned on next to revenue.
events + revenue
Funnel vs revenue
"Where do drop-offs cost me?"
Funnel drop-off mapped to revenue and attribution by source.
funnel -> revenue
Behavioural cohorts
"Which behaviours predict value?"
Behavioural cohorts read against LTV and repeat purchase.
behaviour -> LTV
Retention behaviour
"What drives repeat?"
In-product behaviour tied to Polar's retention metrics.
behaviour -> retention
One P&L
"Do I switch tools?"
Keep PostHog for product work; Polar reads its data against revenue, sourced.
two connectors
Tied to margin
"Which fixes pay?"
Behaviour mapped to revenue and margin, not just event counts.
behaviour -> margin
Setup Guide

How to Connect PostHog to Polar.

A Polar account with Shopify connected, access to your PostHog account, and Polar's AI Data Engineer, which builds the connector from a plain-language request.
Polar

A Polar account with Shopify

A Polar account with Shopify connected. PostHog data only means something read against the orders behind it.

Connect your data →
PostHog

Your PostHog account

Access to PostHog with the site or app you want to read, and its API or export enabled.

Open PostHog →

Polar's AI Data Engineer

No native PostHog connector yet? Describe what you need in plain language and the AI Data Engineer reads the PostHog API, writes the connector and pipes it into your warehouse, in minutes.

1

Ask for the connector ~ minutes

Plain language, no code.
Tell Polar's AI Data Engineer what you want from PostHog 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 PostHog API exposes a field, you can have it, down to a single hidden one the standard connector never pulled.
2

Events joined to orders automatic

Behaviour, meet revenue.
Polar joins PostHog events and cohorts 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.
Get started

Stop optimising for clicks you cannot price.

Bring PostHog in and read events, funnels and cohorts against the orders and the margin behind them.

Side by side

PostHog shows behaviour. Polar shows what it's worth.

PostHog is excellent at what users do, but it does not know your revenue, CAC or margin, so behaviour and money live in separate tools. Bring PostHog into Polar and the gap closes.

PostHog on its ownon its own

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PostHog with Polarblended

Rich behaviour, no revenue attached.
Behaviour reasoned on next to governed revenue.
Funnels and cohorts sit apart from money.
Funnels and cohorts mapped to LTV and repeat.
No tie from a drop-off to lost revenue.
Drop-offs tied to revenue by source.
Two tools, two truths.
Polar answers across both, sourced.
The Gap

The PostHog connector is only half of it.

Once your PostHog events and cohorts are connected to Polar, you can use them wherever you already work. Ask Polar in plain language, pull them live through the Polar MCP, or schedule a snapshot into the report your team reads every morning.

PostHog

events, funnels, cohorts
Polar

Polar

behaviour tied to revenue

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

PostHog behaviour, tied to revenue.

Product teams live in PostHog and finance lives in Polar, so "this funnel step drops 30%" never becomes "this drop-off costs us this much revenue from this source." Bring PostHog into Polar and a question like "which behaviours predict a second purchase, and what are those cohorts worth" gets answered across behaviour and money in one flow.

One model, one flow

Blended

PostHog behaviour and Polar revenue answer together, in one governed flow. Funnels and cohorts map to revenue, LTV and attribution.

Ask Polar, in plain language

No SQL

“Which behaviours predict repeat, and what are those cohorts worth?” No SQL, no export.

Your Prompt Library

15 prompts a connected PostHog unlocks.

Funnels priced in revenue, behavioural cohorts by LTV, and the signals that predict a repeat purchase.
Type
Audience
15 of 15
Get started · connect once · behaviour meets money

Behaviour, tied to revenue.

Bring PostHog into Polar and read product behaviour next to governed revenue and attribution.

Phase 1 ~5 minConnect your data in PolarConnect Shopify and your stack. Polar's semantic layer turns it into governed metrics.
Phase 2 ~ minutesBring PostHog inDescribe what you need in plain language; the AI Data Engineer writes the connector and pipes it into your warehouse.
Phase 3 the payoffUse it everywhereBehaviour tied to money in every dashboard, report and AI answer.