Why users drop off, not just where
Product analytics that connects every drop-off percentage to the actual users behind it.
0.0on G2The feature shipped. Who used it?
Usually no dashboard can say, because the event was never instrumented. Trial-to-paid and retention should not need a sprint and an analyst ticket to answer.
See who dropped, not just how many.
Every funnel bar is clickable. Land on the exact users who abandoned that step with their full event history, ready to segment or message.
- Click any drop-off bar and land on the user list behind it
- Break funnels down by segment, device, channel, UTM or custom attribute
- Export the list or launch a journey without leaving the funnel
Find out why activation fails.
Path analysis across the journey from signup to activation, comparing users who converted against users who left, to find the milestone that actually predicts retention.
- Forward and backward path analysis from any event
- Cohort heatmaps showing which actions predict long-term retention
- The behavioral difference between converters and churners, in plain language
Cohort retention that means something.
Pick your own anchor event and return condition. Weekly heatmaps by acquisition period, so you see which cohorts are healthy and which are quietly fading.
- Cohort curves and weekly heatmaps built from real event data
- Any tracked event usable as anchor or return condition
- Launch a re-engagement journey from any cohort
What product analytics costs (2026)
| Tool | Cost at ~50-person SaaS | Note |
|---|---|---|
| Mixpanel | ~$8,400/yr | 20M events/month free tier, one of the most generous |
| Amplitude | ~$36,000/yr | Roughly 4× Mixpanel at comparable usage |
| PostHog | ~$200-400/mo | Self-host option, engineering-led |
| Heap | Highest of the four | Autocapture, priciest at comparable volume |
The complaint that actually kills these deployments is not price. It is that setups rot. Inconsistent event names and broken user IDs make funnels and segmentation untrustworthy, and once a team stops believing the numbers the tool is dead regardless of what it cost. Auto-capture and identity resolution matter more than feature count.
Sources: Monetizely product analytics cost comparison 2026 · vendor pricing pages.
Explore more ways Intempt drives revenue.
Connected outcomes across the platform.
In the words of50+ live tenants.
We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.
Jim Stromberg, CEO
StockInvest
Case Study
StockInvest needed to turn anonymous traffic into registered users before any retention strategy could work. With Intempt's Experiences, they personalized the anonymous visitor flow, surfacing the right content and CTAs to boost signup conversion. Once users signed up, automated Journeys nurtured them through onboarding and deeper engagement, steadily increasing lifetime value.
Frequently asked questions
It tracks how people use your product, measures activation and retention, and shows where users drop out of key flows. The useful distinction between tools is whether the drop-off percentage connects back to the actual users, because that is what determines whether you can act on it.
From percentage to person, in a click.
Paste one snippet. Your first funnel and retention report is live before your next sprint planning, with the users behind every number one click away.