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Intempt

Track engagement on the timescale that actually matters for a weekly-habit product

MAU moves too slowly to catch an engagement problem early. This tracks WAU as its own trend with the WAU/MAU stickiness ratio built in, so a dip shows up on a weekly cadence, not a monthly one.

AnalyticsData AnalystSaaSQuick setup1 step1 output
Report

Report produced by this recipe.

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What it does

Tracks weekly active users as its own trend line with the WAU/MAU stickiness ratio calculated alongside it, the standard PLG view for weekly-habit products.

You get

a WAU trend report with stickiness ratio

How it works

1

Track weekly users and stickiness

build_insights_report

Weekly active users and a rolling 28 day figure over 12 weeks, with the ratio between them as a stickiness percentage split by plan. Benchmarks at 20% and 50% and flags plans where users grow but stickiness falls.

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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