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Intempt

Find the exact day to trigger your replenishment email

Send a replenishment nudge too early and it's noise. Too late and they've already bought elsewhere or forgotten. This histograms the real days between first and second order across your base, so the trigger delay is based on actual behavior, not a guess.

AnalyticsData AnalystEcommerceQuick setup1 step1 output
Report

Report produced by this recipe.

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What it does

Builds a histogram of days elapsed between a customer's first and second order_created events, revealing the real distribution to time replenishment journey triggers against.

You get

a second-order velocity histogram

How it works

1

Measure the gap to order two

build_insights_report

A distribution of the days between a customer's first and second order, bucketed from under 3 days out past a year, for customers whose first order was 6 or more months ago, split by the first order's category with a cumulative percentage line.

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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