See what users do. Know exactly why.
Funnels, cohort retention, and real-time dashboards — all in the same platform as your journeys and experiments.
Free forever · Scale with usage
Real-time
Event processing
60s
First funnel built
SOC 2
Type II · GDPR ready
Trial → Paid Funnel
Week 1 Retention by Cohort
BLU
Activation drop at step 2 is the biggest leak. Users who invite a teammate convert 4× better.
Analytics that closes the loop between insight and action
See exactly where users drop off
Build any funnel in seconds. Every step shows conversion rate, time to convert, and the segment behind the drop.
Retention you can actually act on
Cohort curves and heatmaps show Day 1, Week 1, Month 1+ retention. Spot stabilization points and fix the gaps.
Ask Blu. Get a real answer.
Type a question in plain language. Blu reads the live report, explains the drivers, and queues up the fix.
Find the leak. Fix it today.
- Step-by-step funnel conversionEvery step shows conversion rate, drop-off percentage, and time-to-convert window (up to 366 days).
- Drill from chart to user listClick any drop-off bar and land on the exact user records affected — ready to segment and activate.
- Slice by anythingFilter and break down by segment, channel, UTM, device, geography, or any custom attribute.
BluTell me where my users are dropping off!
Looking at your user drop-off patterns. Let me pull the key funnel metrics and identify where you're bleeding users.
Top Drop-off Points:
Signup → Activation (Days 0-7)
• 67% of new signups never complete core setup
• Integration drop 42%: users abandon during data source connection
• After seeing value: only 14% use after seeing value
Trial → Paid Conversion (Day 14-30)
• 89% of trial users don't convert to paid
Feature Adoption Cliff:
• 85% of new users never use 2nd key feature
• Critical mass: 3 integrations needed creates cohort control at 41%
Funnel Conversion
3 steps · 7d conversion window
11,923
View page
8,695
Click on
72.9% of prior step
5,720
Submit on
48% of prior step
100%
72.9%
48%
| Step | Users | % of total | Avg time |
|---|---|---|---|
| View page | 11,923 | 100% | 0s |
| Click on | 8,695 | 72.9% | 1m 42s |
| Submit on | 5,720 | 48.0% | 3m 18s |
Know which cohorts are slipping away.
- Cohort retention curves and heatmapsClassic weekly retention grids showing where each cohort stabilizes versus where it bleeds out.
- Control your anchor and return eventsPick the activation moment and the return behavior that matters for your specific model.
- From retention gap to journey in one clickSurface the cohort that's dropping, then build the re-engagement flow for it directly from the chart.
BluBuild me a comprehensive retention analysis with re-engagement triggers.
I'll help you build a comprehensive retention analysis with automated re-engagement triggers.
Re-engagement Strategy:
30-Day Strategy Journey
• Exact retention data by day/week/month
• Automated triggers for users showing disengagement signals
• Predictive scoring to identify users 14 days before churn
Feature Adoption Journey:
• Build predictive scoring with Intempt Foundation. Set up journeys for users not reaching Day 30
Value Realization Journey:
• Create retention dashboard tracking trends with true activation
82.0% of users came back in Week 1. Retention stabilizes around 11.3% after Week 11.
Average Retention Curve
classic retention · week intervals
Statistics Heatmap
| Cohort | Wk 1 | Wk 2 | Wk 3 | Wk 4 | Wk 5 | Wk 6 | Wk 7 | Wk 8 | Wk 9 | Wk 10 | Wk 11 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jan 1 | 100% | 82% | 63% | 48% | 38% | 31% | 26% | 22% | 19% | 17% | 15% |
| Jan 8 | 100% | 79% | 61% | 47% | 37% | 30% | 25% | 21% | 18% | 16% | |
| Jan 15 | 100% | 84% | 66% | 51% | 40% | 33% | 27% | 23% | 20% | ||
| Jan 22 | 100% | 81% | 62% | 48% | 38% | 31% | 26% | 22% | |||
| Feb 1 | 100% | 80% | 62% | 48% | 38% | ||||||
| Feb 8 | 100% | 83% | 64% | ||||||||
| Feb 15 | 100% |
Stop filing analyst tickets. Just ask.
- Plain-language querying across every reportAsk about funnels, retention, dashboards, paths, and tables — Blu uses the open report as context.
- Why-it-changed explanationsWhen a metric moves, Blu surfaces the rising and falling drivers (source, device, country) with their contribution to the delta.
- Suggested next actions, already queuedEach answer includes ready-to-run journeys and drill-downs — no copy-paste, no context switching.
BluWhat is my current retention rate, and how can I increase it?
I need to access your retention data to give you the current rate. Let me pull that up.
Based on typical CDP patterns, here are the fastest retention levers to pull:
Immediate actions (this week):
• Set up behavioral triggers for new accounts
• Build value demonstration: show value early
30-day improvements:
• Build expansion prompts into high-usage moments
• Usage-based health scoring to identify churners
Data shows:
Companies using 5+ integrations in month 1 have 73% better retention
Total Events
88,500
↗ +12.3%
Unique Users
4,230
↗ +8.1%
Avg per User
20.9
↗ +3.9%
Period Delta
+8.4%
↗ +8.4% growth
Session start over time
Total count · daily
Why it changed
Your data, answered in plain language
Ask Blu about any metric — funnels, retention, dashboards. No SQL. No analyst ticket. No waiting.
Setup in minutes
Raw events to decisions, in three steps
SOURCES
JavaScript
Track events from web applications
Node JS
Server-side event tracking
iOS
Mobile analytics for iOS
Android
Mobile analytics for Android
01
Stream events from every source
Server-side, client-side, and third-party events land in unified profiles. No new instrumentation, no batch delay.
02
Build funnels, retention, dashboards
Drag-and-drop reports update in real time. Breakdowns and filters on every chart, no SQL required.
03
Ask Blu, then act on the answer
Ask why a metric changed, get a driver breakdown, and turn the insight into a journey — without leaving the page.
Works with the events you already have
Server-side, client-side, or third-party — every source, one analytics layer.
Track behavior. Respect privacy. No trade-off.
Analytics and action, for $24 a month.
One platform replaces your analytics tool, your BI dashboard, and your activation layer.
What most teams stitch together
- Product analytics tool (Mixpanel / Amplitude) — separate billing, separate login
- BI dashboard (Looker / Metabase) — separate build, separate maintenance
- Activation layer — export CSV, import elsewhere, wait for sync
3 tools, slow insight-to-action loop, fragmented data
What you get with Intempt Analytics
- Funnels with step-by-step drop-off analysis — real time
- Cohort retention curves and heatmaps — weekly, monthly, custom
- Unified dashboards combining reports, journeys, and segments
- Ask Blu in plain language — why-it-changed explanations included
- One click from chart to journey — no export, no sync
- Built-in consent and privacy controls
Real results, not just tech
We drive measurable outcomes in the first 90 days. Beyond the platform.
“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.
Questions we actually get asked
Funnel reports, cohort retention reports, insight reports (event counts, WAU/MAU, frequency), and unified dashboards. All update in real time from the same event stream that powers your journeys and experiments.
You pick a sequence of events and Intempt shows conversion rates between each step, drop-off percentages, and time-to-convert. Funnels update in real time and can be filtered by segment, channel, device, UTM, date range, or any custom attribute. Click any drop-off bar to land on the users who dropped — ready to target.
Cohort-based retention with weekly curves and heatmaps. You control the anchor event (e.g. first session, feature activation) and the return condition. Pre-built templates include Weekly Active Users, Feature Adoption, and Account Re-engagement. Retention data links directly to journey creation.
No. Analytics is built into the same platform as your journeys, experiments, and personalization. The same event data that powers your dashboards also triggers automations — no export, no sync, no separate tool to maintain.
Blu reads whichever report is currently open and answers questions in plain language. It explains why metrics changed, surfaces the top rising and falling drivers (by source, device, country, or segment), and suggests ready-to-run journeys based on what it finds. Every answer is grounded in your live event data.
Yes. Every report supports advanced filtering and breakdowns by audience traits, acquisition channel, device, browser, UTM source/medium/campaign, geography, referrer, and any custom attribute you track.
Yes. Charts update in real time as events stream in. Dashboards support auto-refresh and combine reports, journey analytics, segment sizes, and experience performance in one view.
Yes. Every report supports period-over-period comparison — overlay last week vs. this week, or compare cohorts from different acquisition periods on the same chart.
Event collection respects consent status automatically. If a user revokes consent, their events stop being collected and tracked. All data is encrypted in transit and at rest. GDPR and CCPA controls are built into the data layer.
Yes. Events from web, mobile (iOS/Android), server-side, and third-party tools all roll up to the same unified profile. Behavior, sessions, and conversions span platforms without separate tools or manual data joins.
BI tools are built for historical reporting by data teams. Intempt Analytics is built for real-time action by growth teams — funnels, retention, and dashboards that any team member can build, with a direct path from insight to journey or experiment without touching code.
Most teams have their first funnel or retention report live within minutes of connecting a data source. There's no instrumentation overhaul — if you're already sending events (even from Segment or Mixpanel), they import directly.
Stop staring at data. Start acting on it.
Connect your sources in minutes. Build your first funnel and retention report before your next standup.