Product analytics
Product analytics platform that connects numbers to sessions
A product analytics platform measures how people use your product: funnels, retention, cohorts, feature adoption and paths. UserExplorer does that and connects every chart to the recorded sessions behind it, so the AI researcher can explain why a metric moved, not only that it moved.
- Funnels, paths and events on every plan
- Cohorts, retention and feature usage from Growth
- Click any bar or step to open the sessions behind it
- Events API and webhooks on Scale and Enterprise
Weekly retention by signup cohort
Sample data| Cohort | W0 | W1 | W2 | W3 | W4 |
|---|---|---|---|---|---|
| Sep 1412 users | 100% | 61% | 52% | 47% | 44% |
| Sep 8388 users | 100% | 58% | 49% | 45% | 41% |
| Sep 15455 users | 100% | 64% | 55% | 50% | |
| Sep 22431 users | 100% | 60% | 51% | ||
| Sep 29402 users | 100% | 63% |
Export in first 24 h
71% at W4
Did not
29% at W4
Early Export users stay 2.4 times better.
Why it matters
Charts tell you where, sessions tell you why
Product analytics tools are very good at showing that week 2 retention fell or that only a third of new accounts invite a teammate. They are much weaker at the next question, which is what those people actually experienced. Teams end up exporting a list of user IDs and searching for them in a separate replay tool.
In UserExplorer the chart and the evidence live in the same place. A drop in a funnel analysis step opens the replays of people who left at that step, and a cohort with weak retention opens their profiles and timelines. One segment definition works across charts, replays and heatmaps.
What you can measure
The core reports product teams use every week
Built on events your snippet captures automatically, plus the custom events you send.
Funnels
Ordered steps with conversion and time between steps, broken down by source, device, plan or any property.
Cohorts
Group users by signup week, campaign, behaviour or property and compare how each group behaves over time.
Retention
Day, week or month retention curves for any starting and returning event, with the sessions of churned users one click away.
Feature usage
See which features are adopted, by whom and how often, and which ones are ignored after launch.
User paths
Follow what people do before and after a key event, including the loops and dead ends nobody planned.
Events API
Send server side events such as purchases, renewals or support tickets so analysis includes what happens outside the browser.
Ask instead of build
Questions in plain English with the evidence attached
Building the right report often takes longer than reading it. On Growth and above you can ask the AI researcher a question such as which features new accounts use in their first week before they upgrade, or why retention is lower for users from paid social.
The answer comes with the charts it used and the sessions that support each point, so you can check the reasoning yourself. It works on the same data as your saved reports and respects the same masking rules described in privacy and security.
Signup funnel, last 30 days
Sample data-
1. Landing page 100%
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2. Start signup 62%
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3. Verify phone 42%
31% leave here
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4. Account created 29%
Setup
From snippet to first retention chart
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Step 1
Install the snippet
Page views, clicks and route changes are captured automatically, including single page apps.
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Step 2
Name key events
Mark actions such as signup, project created or invite sent, either from the dashboard or with a line of code.
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Step 3
Send server events
On Scale and Enterprise, push purchases and tickets through the events API or webhooks.
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Step 4
Build or ask
Create funnels, cohorts and retention charts, or ask the AI researcher and save the answer as a report.
Compared
How UserExplorer fits next to classic product analytics
| Capability | UserExplorer | Mixpanel or Amplitude style tools |
|---|---|---|
| Funnels, retention, cohorts | Yes | Yes, often with deeper modelling |
| Session replay on the same data | Built in | Available as an add on or separate product |
| Heatmaps and frustration clicks | Built in | Usually not included |
| Surveys and AI interviews | Built in from Growth | Usually a separate tool |
| AI answers with evidence sessions | Yes | AI features vary by vendor |
| Published self serve pricing | Yes, every plan | Varies by vendor and plan |
-
Funnels, retention, cohorts
- UserExplorer
- Yes
- Mixpanel or Amplitude style tools
- Yes, often with deeper modelling
-
Session replay on the same data
- UserExplorer
- Built in
- Mixpanel or Amplitude style tools
- Available as an add on or separate product
-
Heatmaps and frustration clicks
- UserExplorer
- Built in
- Mixpanel or Amplitude style tools
- Usually not included
-
Surveys and AI interviews
- UserExplorer
- Built in from Growth
- Mixpanel or Amplitude style tools
- Usually a separate tool
-
AI answers with evidence sessions
- UserExplorer
- Yes
- Mixpanel or Amplitude style tools
- AI features vary by vendor
-
Published self serve pricing
- UserExplorer
- Yes, every plan
- Mixpanel or Amplitude style tools
- Varies by vendor and plan
General comparison, check each vendor for its current features and prices.
FAQ
Questions teams ask before they start
What is a product analytics platform?
A product analytics platform tracks events in your product and turns them into reports such as funnels, retention curves, cohorts, feature adoption and user paths, so teams can decide what to build and fix.
How is UserExplorer different from Mixpanel or Amplitude?
Those tools focus on event analysis. UserExplorer covers the core product analytics reports and joins them with session replay, heatmaps, surveys and an AI researcher, so you can see why a metric moved in the same tool.
Do I need to tag every event by hand?
No. Page views, clicks, form steps and route changes are captured automatically. You only name the events that matter and send custom or server side events when you need them.
Which plans include cohorts and retention?
Funnels and user paths are on every plan. Cohorts, retention, feature usage and churn risk start on Growth. The events API and webhooks are on Scale and Enterprise. See pricing.
Can I send purchases and support tickets?
Yes, on Scale and Enterprise through the events API and webhooks. They appear on user profiles and can be used in funnels and cohorts.
How long is data kept?
Startup keeps data for 3 months, Growth 6 months, Scale 12 months and Enterprise 24 months.
Know what changed and why in one place
Funnels, cohorts and retention connected to the sessions behind them, with an AI researcher that shows its evidence.