
Posthog


Turn PostHog data into product decisions
You can see what users are doing. Samepage helps you understand why—and what to change.
Connect PostHog to Samepage and continuously analyze events, funnels, and user behavior to surface patterns, explain changes, and generate actionable product insights.
Built for teams that want answers—not just dashboards
If you’re using PostHog, you already track:
Events, funnels, feature usage, retention, experiments.
But getting from data to decisions still requires:
Building queries
Interpreting trends
Connecting behavior to product changes
Samepage is built for product teams who want clear direction without constant analysis.
The problem with PostHog today
PostHog gives you raw visibility. It doesn’t give you interpretation.
So teams run into this:
Funnels drop, but root causes aren’t clear
Metrics move, but no one knows why
Insights depend on who has time to investigate
Data lives in dashboards—not in decisions
You have the data—but not the clarity.
What Samepage does differently
Samepage treats PostHog as a behavioral signal layer—not just analytics.
Instead of manually querying data or building dashboards, you define Signals that continuously analyze your product usage.
You can ask:
“What changed in user behavior this week?”
“Where are users dropping off—and why?”
“What actions correlate with retention?”
Samepage connects patterns across events and turns them into structured insights and recommendations.
How it works
Connect PostHog
Samepage ingests event data, funnels, and user behavior.Create a Signal
Use PostHog as a data source and define what to analyze, like:
“Analyze funnel drop-offs from the last 14 days and identify likely causes.”Run continuous analysis
Signals update as new data comes in.Get structured outputs
Instead of raw charts, you get explanations, patterns, and suggested actions.
Key use cases
1. Understand why funnels are breaking
Analyze funnel performance and user behavior.
Example output:
“Activation rate dropped 22% this week—users are stalling at the ‘create first project’ step.”2. Identify behaviors that drive retention
Analyze cohorts and event sequences.
Example:
“Users who invite a teammate within the first session have 2.1x higher 30-day retention.”3. Detect meaningful changes in product usage
Monitor trends across events.
Example:
“Usage of ‘bulk edit’ increased 40% after last release—indicates strong adoption.”4. Connect product usage to customer feedback
Combine PostHog data with other sources.
Example:
“Feature X has high usage but also appears in 18 support complaints—indicates usability issues.”5. Turn analytics into product decisions
Generate recommendations based on patterns.
Example:
“High drop-off during onboarding suggests reducing required setup steps.”
Before vs After
Before Samepage
You build queries, analyze charts, and try to interpret what changed. Insights depend on time, effort, and individual analysis.
After Samepage
Signals continuously explain what’s happening in your product—what changed, why it matters, and what to do next.
What PostHog data Signals can analyze
Samepage works directly on your PostHog data, including:
Event tracking data
Funnels and conversion paths
User cohorts and retention metrics
Feature usage and engagement trends
Behavioral patterns across segments
No manual querying or exporting required.
Why not just use PostHog alone?
PostHog is powerful—but still requires manual analysis.
You have to build the right queries
You have to interpret the results
You have to connect insights to product decisions
Dashboards show data. They don’t reason about it.
Samepage sits on top of PostHog and answers:
“What’s actually happening in our product—and what should we do about it?”
PostHog integration for product analytics and behavioral insights
If you’re trying to get more value from PostHog—whether that’s understanding user behavior, analyzing funnels, or improving retention—Samepage gives you a system that goes beyond dashboards.
Instead of manually digging through analytics, you can define exactly what you want to learn from your data and let Signals surface it continuously.
This is especially valuable for product teams that want faster answers without adding more analysis overhead.
Turn product data into product decisions
Connect PostHog to Samepage and define your first Signal in minutes.
Stop querying data. Start getting answers.

