Analytics that
turns behavior into decisions.
Funnels, cohort retention, and dashboards built into the same platform as your journeys and experiments. Spot the drop-off, build a journey to fix it.
See exactly where users drop off
Build any funnel in seconds, see step-by-step conversion, and pinpoint friction in onboarding, checkout, or signup. Every leak comes with the segment and signal behind it.
Funnels that explain the drop, not just show it.
Drop-off analysis
Pinpoint friction points in onboarding, checkout, or signup flows. Each step shows conversion rate and time to convert.
Custom funnel creation
Build funnels for goals like trial-to-paid or cross-sell, monitor performance, and slice by segment, channel, or date.
Adjustable conversion windows
Set the window that matches your business — 1 day, 7 days, 30 days — and measure total conversion rate or all steps.
From chart to user list in one click
Drill from any drop-off bar straight to the user records affected, ready to segment, target, or activate.
Stop guessing where the leak is. Funnel + segment + cause, in one view.
Retention you can actually act on
Cohort-based retention curves and heatmaps measure Day 1, Week 1, and Month 1+ retention. Spot the moment retention stabilizes and turn the gap into a re-engagement journey.
Retention that feeds journeys, not just dashboards.
Cohort retention curves and heatmaps
Classic retention by week, with cohort heatmaps that reveal where each cohort stabilizes versus where it bleeds.
Anchor and return events you control
Pick the activation anchor (e.g. session start, key feature) and the return condition that matters for your model.
Templates for the patterns that matter
Weekly Active Users, Feature Adoption, and Account Re-engagement — preconfigured cohort lenses.
From retention gap to journey
Surface the cohort that drops, then build a re-engagement journey for it directly from the chart.
82.0% return in Week 1, stabilizing at 11.3% after Week 11. The Data Analyst Agent recommends the exact re-engagement journey to lift the long tail.
Ask Blu anything about your behavior data
Type a question in plain language. Blu reads the live report, explains the drivers, surfaces what changed and why, and suggests the next drill-down or journey.
Plain-language analytics for the whole team.
Asks about retention, funnels, paths, and tables
Across Boards, Dashboards, Insights, Funnels, Retention, Paths, and Data Table — Blu uses whatever report is open as context.
Why-it-changed explanations
When a metric moves, Blu surfaces the rising and falling drivers (browser, country, device, source) with the contribution to the delta.
Suggested follow-up actions
Each answer offers next drill-downs and ready-to-run journeys (e.g. /trial-activation, /churn-prevention, /analytics-foundation).
Grounded in live event data
No hallucinations from a model trained on someone else's data. Every answer is tied to your real events and current filters.
Anyone on the team can ask 'why did retention move?' and get a real answer — with the journey recommendation already queued up.
Ask Blu anything about your user behavior
Type a question or invoke a skill. Pulls from your real funnels, cohorts, and live events.
▎How it works
Raw events to decisions, in three steps
▎Step 01
Stream events from every source
Server-side, client-side, and third-party events land in the same unified profile. No instrumentation overhaul, no batch delay.
▎Step 02
Build funnels, retention, and dashboards
Drag-and-drop funnels, cohort retention, and unified dashboards update in real time, with breakdowns and filters on every chart.
▎Step 03
Ask Blu, then act on the answer
Ask in plain language, see why metrics changed, and turn the insight into a journey, segment, or experiment without leaving the page.
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.
▎Why teams switch
Intempt vs the patchwork stack
Most teams stitch a product analytics tool, a BI dashboard, and a separate activation layer. Here's the side-by-side.
▎Pricing
From $24/mo per seat. Scales with usage.
No event volume gotchas on Pro and above. One platform replaces analytics, BI, and activation.
Explore more products
Everything else that turns behavior into revenue.
Stop staring at dashboards. See what users actually do.
Connect your sources in minutes. Build your first funnel and retention report by tomorrow.
Analytics questions, answered
Frequently asked questions
Everything teams ask before turning behavior into action.
Intempt tracks any custom event you define — page views, clicks, form submissions, purchases, feature usage, API calls, and server-side events. You can also ingest events from third-party tools and data warehouses. Every event is tied to a unified customer profile.
You define a sequence of events and Intempt shows conversion rates between each step, drop-off points, and time to convert. Funnels update in real time and can be filtered by segment, channel, or date range.
Intempt provides cohort-based retention analysis. You can measure Day 1, 7, 14, and 30 retention, compare cohorts by acquisition source or segment, and identify which behaviors correlate with long-term retention.
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 and personalizes experiences.
Intempt supports server-side and client-side event collection with built-in consent management. You control what gets tracked based on user consent status, and all data collection respects your privacy rules automatically.
Yes. Every report supports advanced filtering and breakdowns by audience traits, channels, devices, UTMs, referrers, and any custom attribute.
Unified dashboards combine reports for experiences, events, segments, and journeys. Add chart annotations, mix chart types, apply filters, and enable auto-refresh so the data stays actionable.
Ask Blu lets anyone query event data in plain language. It explains why metrics changed, surfaces drop-off points, suggests next-best journeys to fix them, and proposes follow-up drill-downs grounded in the live report.
Yes. Charts update in real time as events stream in, with optional auto-refresh on dashboards. You don't wait on overnight batch jobs to see today's funnel or retention.
Yes. Events from web, mobile, and third-party tools all roll up to the same unified profile, so behavior, sessions, and conversions span platforms without separate tools or data joins.