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Intempt

See your real fulfillment time distribution, not just the average

An average fulfillment time hides your worst-case tail. This histograms actual per-order fulfillment time with median, p75, and p95 called out, so slow outliers show up instead of getting averaged away.

AnalyticsData AnalystEcommerceQuick setup1 step1 output
Report

Report produced by this recipe.

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What it does

Builds a histogram of per-order fulfillment time with median, 75th-percentile, and 95th-percentile callouts, giving real operational benchmarks instead of a single averaged figure.

You get

a fulfillment time distribution report

How it works

1

Measure how fast orders ship

build_insights_report

A distribution of the time between an order being created and fulfilled, across the last 30 days of fulfilments, bucketed from under 24 hours to over 14 days and split by fulfilment source or country. Benchmarks 24 hours as top quartile.

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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