Behavioral Analytics

See what users do. Know exactly why.

Funnels, cohort retention, and real-time dashboards in the same platform as your journeys and experiments.

Visitors

  • 24,847+ (12% increase)
  • Sessions: 38,291 (8% increase)
  • Conversion Rate: 4.2% (0.6% increase)
  • Revenue: $142K (18% increase)

Traffic trend this month vs last month:

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 conversion: Every step shows conversion rate, drop-off percentage, and time-to-convert window (up to 366 days).
  • Drill from chart to user list: Click any drop-off bar and land on the exact user records affected, ready to segment and activate.
  • Slice by anything: Filter and break down by segment, channel, UTM, device, geography, or any custom attribute.

Visited Pricing

  • 8,420
  • Started Trial: 5,220 (-38%, 62%)
  • Activated Feature: 2,138 (-21%, 41%)
  • Upgraded: 1,021 (-17%, 24%)

Trial-to-activation gap is your biggest leak. 38% drop-off after signup.

Know which cohorts are slipping away.

  • Cohort retention curves and heatmaps: Classic weekly retention grids showing where each cohort stabilizes versus where it bleeds out.
  • Control your anchor and return events: Pick the activation moment and the return behavior that matters for your specific model.
  • From retention gap to journey in one click: Surface the cohort that's dropping, then build the re-engagement flow for it directly from the chart.
Cohort W0 W1 W2 W4 W8 W12
Jan 100% 64% 52% 44% 38% 34%
Feb 100% 61% 49% 42% 36% 32%
Mar 100% 67% 55% 47% 41% 37%
Apr 100% 59% 47% 39% 34% 30%
May 100% 63% 51% 43% 37%
Jun 100% 60%

Mar cohort retains 37% at W12, up 5pts. Week 1 is the stabilization point.

Stop filing analyst tickets. Just ask.

  • Plain-language querying across every report: Ask about funnels, retention, dashboards, paths, and tables.
  • Why-it-changed explanations: When a metric moves, Blu surfaces the rising and falling drivers (source, device, country) with their contribution to the delta.
  • Suggested next actions, already queued: Each answer includes ready-to-run journeys and drill-downs. No copy-paste, no context switching.

Why did checkout conversion drop this week?

Checkout conversion dropped 2.1% from 4.8% to 2.7%. The primary driver is mobile users on iOS Safari — conversion is down 34% for that segment.

Top drivers:

  • Mobile checkout: -12%
  • Paid Search traffic: +8%
  • UK visitors: -6%

Build re-engagement journey for iOS drop-offs

Your data, answered in plain language

Ask Blu about any metric. Funnels, retention, dashboards. No SQL. No analyst ticket. No waiting.

Insights Analyst

  • What's our conversion rate this week vs. last week? Conversion rate is 4.2% this week, up from 3.6% last week. The increase is driven by the LinkedIn campaign which is converting at 8.2%.
  • Which campaign drove the most revenue last month? The Q1 Product Launch campaign drove $48.2K in attributed revenue. That's 34% of total campaign revenue for March.
  • Which segment has the highest churn risk right now? The 'Trial Started, No Activation' segment has 847 users with a 72% predicted churn probability in the next 14 days.

Raw events to decisions, in three steps

  1. Stream events from every source: Server-side, client-side, and third-party events land in unified profiles. No new instrumentation, no batch delay.

    • LIVE EVENT STREAM: pageview/pricing just now, clickbtn#start-trial 1s ago.
  2. Build funnels, retention, dashboards: Drag-and-drop reports update in real time.

    • Report Builder: Real-time, Funnel 62%, Retention 41%, Revenue 78%.
  3. 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.

Analytics and action, in one platform

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

Result: 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.

What our customers have to say

Frequently asked questions

  1. What types of reports does Intempt Analytics include? 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.
  2. Do I need a separate analytics tool if I use Intempt? No. Analytics is built into the same platform as your journeys, experiments, and personalization.
  3. How does Ask Blu work with analytics? Blu reads whichever report is currently open and answers questions in plain language.
  4. Are dashboards real-time? Yes. Charts update in real time as events stream in.
  5. How does Intempt handle privacy in analytics? Event collection respects consent status automatically. If a user revokes consent, their events stop being collected and tracked.