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Intempt

Find out what leads users to your power feature, and what they do after

Knowing a feature is high-value doesn't tell you how people get there or what they do next. This brackets the interaction on both sides - path in and path out - so you can engineer more of the entry and reinforce the follow-through.

AnalyticsData AnalystSaaSQuick setup1 step1 output
Report

Report produced by this recipe.

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What it does

Builds a bidirectional path around a designated high-value feature interaction, showing both what leads users to discover it and what they do immediately after.

You get

a bidirectional power-feature path report

How it works

1

Look before and after a feature

build_paths_report

Two paths bracketing one feature click over the last 30 days: 5 steps back inside the preceding 30 minutes and 5 steps forward inside the following 30 minutes, split by plan, with the share of users for whom this was a first use.

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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