Find out why users drop off, not just where.
Connect the drop-off percentage to the actual users behind it. Blu reads the pattern and tells you what to fix.
“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
See who dropped off, not just the percentage.
- Click any funnel drop-off bar and land on the exact users who abandoned that stepAnalyze user flows and break down funnels by segment, device, channel, UTM, or any custom attribute. No SQL, no analyst ticket.
- Analyze user flows and break down funnels by any dimensionBlu reads the pattern and tells you what dropped users had in common, then drafts the outreach to bring them back.
- Blu reads the pattern and explains what drives the drop-offThese 1,847 users dropped before completing their profile. Users who skip this step churn at 3x the rate. Here is the fix.
Blu · funnel drop-off1,847 users dropped before completing their profile
Users who skip this step churn at 3x the rate. 68% were on iOS. Click any bar to see the exact users behind the drop-off.
| User | Last action | Device | Segment |
|---|---|---|---|
| user_4829 | Viewed pricing x3, no invite | iOS | Trial |
| contact_7712 | Created project, skipped profile | Desktop | Trial |
| visitor_3391 | Signed up, left immediately | Android | Anonymous |
| user_2218 | Started profile, abandoned midway | iOS | Trial |
| contact_9901 | Uploaded logo, stopped at bio step | Desktop | Paid |
Find out why activation fails your users.
- Path analysis showing where users go before and after key activation momentsCohort analysis heatmaps showing which activation actions predict long-term user engagement. Compare converted vs dropped users side by side.
- Cohort analysis heatmaps showing which activation actions predict retentionSpot the behavioral milestone that separates activated users from churned ones, then build the experience around it.
- Blu identifies the milestone that drives conversionUsers who invite a teammate within Day 3 convert to paid at 4x the rate. Here is how many current trials have not done this.
Pipeline snapshot: 500 meetings booked · 63% held rate · 223 deals created · 84 advanced stage.
Pipeline impact
Deals created ⓘ
⊙223
↗ +17.4%
vs previous 30 days
Stage advanced ⓘ
↗84
↗ +9.1%
vs previous 30 days
Amount advanced ⓘ
$$1555K
↗ +13.6%
vs previous 30 days
Win rate after meeting ⓘ
⭐31.4%
↗ +4.2%
vs previous 30 days
Canceled rate ⓘ
✕6.6% (33)
↘ +17.6%
vs previous 30 days
Meeting conversion funnel
ⓘTracks meetings from booked → held...
63.0% held rate ⓘ
49.2% follow-up rate ⓘ
Purpose performance
Compare meeting outcomes across different purposes
Blu diagnoses your onboarding gap for you.
- Plain-language diagnosis of your largest drop-off and what behavioral pattern drives itSuggested A/B experiments to test fixes, ready to launch from the same screen. No analyst ticket, no sprint planning.
- Suggested A/B experiments to test fixes, ready to launch from the same screenEach diagnosis delivers actionable insights with a ready-to-launch journey and a suggested experiment with expected impact.
- Blu recommends the highest-leverage fix with expected impactFix the team invite prompt at Day 3. Based on your cohort data, this change has the highest expected impact on Week 4 retention.
HYPOTHESIS
Revamping the Product Detail Page to improve layout, visual hierarchy, and highlight key information will increase user engagement and drive higher conversion rates compared to the existing PDP design.
Blu · summaryMixed results with significant CVR gains
Video Ads Creative shows +43.4% lift in Conversion Rate (p < 0.001) with statistical significance. However, this comes with a -10.1% decrease in Visitors. Net revenue impact: +$12.4K/month if shipped.
Significant CVR lift (+43.4%) but visitor count declined by -10.1%
Net revenue impact estimated at +$12.4K/month if shipped
Statistical significance achieved (p < 0.001) on primary metric
Cumulative Users & Impressions
6,450
Cumulative Users
15,800
Total Impressions
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FAQ
Frequently asked questions
Everything you need to know about product analytics.
Product analytics software tracks product usage and how users interact with your digital products, measures activation and retention, and identifies where users drop off in key flows. The best product analytics platform connects drop-off data directly to the actual users behind it and explains the behavioral patterns that drive retention and churn.
For startups, the best alternative matches Mixpanel and Amplitude's core capabilities at a fraction of the price, requires no dedicated analytics engineer, and connects the drop-off percentage to the user list. Intempt starts free and costs 60-80% less at comparable usage levels.
You pick a sequence of events and Intempt shows conversion rate, drop-off percentage, and time-to-convert at every step. Every funnel updates in real time and can be filtered by segment, device, channel, UTM, or any custom attribute.
Yes. Intempt connects the drop-off percentage to the user list behind it, so you can see who specifically dropped off and what they did before they left. Blu analyzes the behavioral pattern of dropped users against converted users and explains the difference in plain language.
Intempt provides cohort retention curves and weekly heatmaps. You control the anchor event and the return behavior that matters for your model. Retention data connects directly to journey creation.
Mixpanel shows you funnel percentages and retention curves. Intempt shows you the same analytics and connects each data point to the actual users behind it, so you can act immediately. Blu explains the behavioral pattern in plain language and suggests the fix.
Find out where your users drop off, not just the percentage.
Connect your product. Intempt builds your activation funnels live. Click any drop-off bar to see the actual users and Blu explains what to fix.