Which channels bring users who actually stick.
Analytics knows where they came from. PostHog knows what they did once inside. Patricia joins the two, so a channel is judged on activation and retention, not the sign-up count that flatters it.
@Pati which channels are actually bringing Fernbrook users who activate, not just sign up?
Joined last month's Analytics acquisition to what each channel did inside PostHog. Sign-up volume and quality tell opposite stories:
- Organic search: 1,240 signups, 52% reach activation, week-4 retention 44%, the strongest cohort
- Paid social: 1,910 signups but only 21% activate, and week-4 retention falls to 12%, high volume, thin quality
- Referral is small at 210 signups but activates at 58%, the most efficient source you have
- Session recordings on the paid-social drop show most never finish connect-data, so the traffic is curious, not committed
So paid social looks great on signups and terrible on retention. Put that in front of the client.
Building it. Signups, activation rate, and week-4 retention by channel in one table, with the paid-social quality gap called out and the recordings behind it. One caveat I'll note in the report: Analytics under-counts some paid attribution since the ATT changes, so I'm treating the channel split as directional, not exact.
1 + 1 > 2
What PostHog and Google Analytics do together.
Each is useful alone. Joined, they answer the question neither can on its own.
Join Analytics acquisition source with PostHog activation to judge channel quality
She reads where users came from in Analytics and whether they activated in PostHog, then joins the two, so a channel is measured on the users who actually reach value, not the raw sign-up count that makes cheap traffic look good.
See which channels bring users who retain, not just sign up
She pulls the retention curve per acquisition channel by reading the source from Analytics and the return behavior from PostHog, so you can tell a client which channel's users are still there in week four and which churned by day two.
Find where a channel's users drop in the product funnel
She splits the in-product funnel by acquisition source, so a channel that converts to sign-up but stalls at the connect-data step shows up as a specific wall, with the session recordings behind it, not a blended average.
Separate a traffic problem from an activation problem
When a growth number moves, she checks both sides: whether Analytics shows the traffic changed or PostHog shows the in-product flow did, so you fix acquisition or the product, not the wrong one.
Report channel quality with acquisition and behavior in one table
She writes signups, activation rate, and retention by channel into one client-ready view, with the caveat that post-ATT attribution is directional, so the story is honest about what analytics can and can't see.
How it works
PostHog and Google Analytics, connected in minutes.
Add Patricia to Slack
She joins your workspace like any teammate. Two minutes, no engineering.
Connect PostHog and Google Analytics
One connection for PostHog, one OAuth click for Analytics, per client. She gets only the access you approve, and you can disconnect anytime.
Ask
Mention @Pati with the question. Both are read-only for her, so she reads and reports freely and never changes anything in either.
Say it like you'd say it
Things to ask her.
Which channels bring Fernbrook users who actually activate?
What's week-4 retention by acquisition source?
Where do paid-social users drop in the product funnel versus organic?
Is our growth dip a traffic problem or an activation problem?
Build a channel-quality report with activation and retention by source
More combinations
Other pairs that work like this.
The stack rarely stops at two. These combinations pull the same trick.
FAQ
PostHog + Google Analytics, answered.
What does connecting PostHog and Google Analytics together let Patricia do?
She joins acquisition to behavior. Analytics tells her where users came from, PostHog tells her what they did once inside: activation, funnels, retention, and the session recordings behind them. Together she answers which channels bring users who actually activate and stick, not just which channel has the most signups. Neither tool answers that alone.
Does she change anything in either tool?
No. Both are read integrations for her here. She reads acquisition from Analytics and events, funnels, retention, and recordings from PostHog, and reports on them. There is nothing to approve because nothing is written.
Can she give me perfect cross-channel attribution?
No, and she will say so. GA4 uses data-driven attribution and, since the ATT privacy changes, analytics under-counts some paid sources while ad platforms over-report. She treats the channel split as directional and flags that in the report, rather than claiming a single source of truth that doesn't exist.
Do I need both connected?
For the joined view, yes: Analytics for the acquisition source and PostHog for the in-product behavior. Each also works on its own, this page is about what they do together.
What does it cost?
Nothing extra. Every integration is included, on every plan.
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Or one at a time
See each on its own.
Every tool has its own page with the full picture of what Patricia does there.
Everybody deserves a Patricia.
She handles the mess. You keep the clients. See what changes in your first week.
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