PostHog integration

PostHog in Polar: product behaviour, blended with revenue.

PostHog knows what people do; Polar knows what they're worth. Connect PostHog over its API or MCP and reason on product events, funnels and behavioural cohorts next to Polar's governed revenue and attribution, so behaviour finally ties to money.

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Connect PostHog See the setup
Google Sheets → Polar

What you can bring in

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 assistant
"Do I switch tools?"
PostHog and the Polar MCP answer in one place, sourced to each.
two connectors
Tied to margin
"Which fixes pay?"
Behaviour mapped to revenue and margin, not just event counts.
behaviour -> margin

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 both to one assistant and the gap closes.

PostHog on its own

  • Rich behaviour, no revenue attached.
  • Funnels and cohorts sit apart from money.
  • No tie from a drop-off to lost revenue.
  • Two tools, two truths.

PostHog with Polar

  • Behaviour reasoned on next to governed revenue.
  • Funnels and cohorts mapped to LTV and repeat.
  • Drop-offs tied to revenue by source.
  • One assistant answers across both, sourced.
Setup Guide

Reason across PostHog and Polar.

01 · What you need
Polar

A Polar account with Shopify

A Polar account with Shopify connected. This connector plugs in right next to your stack.

Connect your data →

A PostHog project

Access to the events and funnels you want to reason on, over PostHog's API or MCP.

Open PostHog →

Two connectors together

An assistant with PostHog and the Polar MCP reasons across product behaviour and revenue in one flow.

02 · Reason across PostHog and Polar
1

Connect PostHog ~5 min

Events, funnels, cohorts.
Connect PostHog over its API or MCP so product events, funnels and behavioural cohorts are queryable.
2

Add the Polar MCP ~2 min

Revenue and attribution.
Add the Polar MCP so the same assistant sees governed revenue, CAC and attribution alongside the behaviour.
3

Ask across both the payoff

Behaviour meets money.
Ask which behaviours predict repeat purchase, or how a funnel drop-off maps to revenue by source, across both, sourced.
Get started

Behaviour, tied to revenue.

Give an assistant PostHog and the Polar MCP, and reason on product behaviour next to money.

Book a demo Connect your data ↗
The Gap

The 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

Behaviour, tied to revenue.

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." Connect PostHog and the Polar MCP to one assistant 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. You stop guessing which behaviours matter and start seeing which ones pay.

What makes it real

Two connectors, one flow. PostHog and the Polar MCP answer together, sourced to each.

Behaviour to money. Funnels and cohorts map to revenue, LTV and attribution.

Ask Polar, in plain language. “Which behaviours predict repeat, and what are those cohorts worth?” No SQL, no export.

See how the joined view works
Other Use Cases

Other use cases

Use case 01

Placeholder

Placeholder. The use case skill fills this. (rung: see it)

See the use case › Use case 02

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Placeholder. The use case skill fills this. (rung: report it)

See the use case › Use case 03

Placeholder

Placeholder. The use case skill fills this. (rung: analyze it)

See the use case › Use case 04

Placeholder

Placeholder. The use case skill fills this. (rung: decide from it)

See the use case › Use case 05

Placeholder

Placeholder. The use case skill fills this. (rung: act on it)

See the use case ›
Your Prompt Library

PostHog in plain language

A scannable wall of sample prompts for your PostHog data inside Polar. Ask Polar, or Claude with the Polar MCP connected.
See it
Show my top PostHog funnels this month.
Break down key events by cohort.
List behaviours common before a first purchase.
Analyze it
Map my checkout funnel drop-off to lost revenue by source.
Which behavioural cohorts have the highest LTV?
Which behaviours predict a second purchase?
Decide from it
Where is a funnel fix worth the most revenue?
Which behavioural segment deserves a campaign?
Summarize how behaviour and revenue moved together since last month.
Get started · connect once · behaviour meets money

Behaviour, tied to revenue.

Give an assistant PostHog and the Polar MCP, and reason on product behaviour next to governed revenue and attribution.

Get started by booking a demo Connect your data in Polar
Phase 1 ~5 minConnect PostHogMake events, funnels and cohorts queryable.
Phase 2 ~2 minAdd the Polar MCPBring governed revenue, CAC and attribution to the same assistant.
Phase 3 the payoffAsk across bothBehaviour tied to money, sourced, in one flow.