FunnelKeeper vs PostHog
PostHog is a product-analytics platform — funnels, replay, flags, experiments. FunnelKeeper is not trying to be that. It reads the same kind of events (and can read PostHog itself) and adds the two joins PostHog does not ship: ad spend and revenue, so each channel gets a payback verdict.
How is FunnelKeeper different from PostHog?
PostHog tells you what users do. FunnelKeeper tells you if the spend paid back. PostHog is the stronger product-analytics tool and stays that way. FunnelKeeper is the money layer you put next to it.
Side by side
| Capability | FunnelKeeper | PostHog |
|---|---|---|
| Product analytics, session replay | Not built for it | Yes — its core |
| Feature flags and experiments | No | Yes |
| Ad spend joined by channel | Yes | Manual, via warehouse |
| Cohort payback and LTV:CAC | Yes | Build it yourself in SQL |
| Reads PostHog as a source | Yes — events + replay | — |
| Human-approved ad ops | Yes | No |
| Driven by an AI agent over MCP | Yes | Manual SDK setup |
You need product analytics, session replay, feature flags or experiments. That is PostHog's job. FunnelKeeper will not grow into those surfaces.
You already know what users do (or you already have PostHog) and the question left is whether Meta and Google paid back. That join is FunnelKeeper.
Questions
Do I pick FunnelKeeper or PostHog?
You pick both when you can. PostHog owns product analytics. FunnelKeeper owns the spend-to-revenue join. If both are connected, GA4 still owns traffic volume and PostHog contributes mapped events and replay.
Can FunnelKeeper replace PostHog?
No. It does not do session replay as a product-analytics suite, feature flags, or experiments. It can read PostHog so you do not re-instrument.
Is there a FunnelKeeper integration for PostHog?
Yes. Paste a personal API key, project id and host. FunnelKeeper reads HogQL for funnel events and the recordings API for friction. See /integrations/posthog/.
Run it next to PostHog — FunnelKeeper reads, it never rewires.
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