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Intempt

Catch it the moment a new cohort's onboarding gets worse

If last month's signups suddenly stop touching a feature that used to be sticky for every cohort before them, that's an onboarding regression - and it usually goes unnoticed until churn shows up weeks later. This heatmap catches it immediately.

AnalyticsData AnalystSaaSQuick setup1 step1 output
Report

Report produced by this recipe.

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What it does

Maps feature usage against signup cohort in a heatmap, identifying historically sticky features and flagging when a newer cohort's usage of them regresses versus prior cohorts.

You get

a feature usage heatmap by cohort

How it works

1

Heatmap features against cohorts

build_insights_report

Adoption rate per feature for each monthly signup cohort from the last 6 months, measured over 90 days of usage. Flags features where older cohorts adopt more than newer ones, and cohorts that adopt little across the board.

Produces:Report

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In the words of50+ live tenants.

Jim Stromberg, CEO at StockInvest

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

Eric Gardner, COO at FieldsUSA

Intempt helped us turn real browsing and purchase signals into personalized experiences that drive repeat buying. We finally have one system that sees the whole customer journey.

Eric Gardner

COO, FieldsUSA

Tadas Kertenis, Co-founder at Hoperfy

With Intempt, we built a signal-led pipeline driven by real behaviors. Follow-ups are triggered by intent signals instead of timelines, so we only focus on users who are truly engaging.

Tadas Kertenis

Co-founder, Hoperfy

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