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Intempt

See what your best customers do differently before they buy

Your highest-value customers probably don't browse the same way as everyone else. This puts their path side-by-side with lower-value and non-converting users, so the behavioral difference that predicts a big order becomes visible.

AnalyticsData AnalystEcommerceQuick setup1 step1 output
Report

Report produced by this recipe.

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What it does

Builds two Path reports in parallel - one for users who placed above-threshold orders, one for users below the threshold or who never converted - for direct behavioral comparison.

You get

a high-value vs. low-value path comparison

How it works

1

Contrast big and small basket paths

build_paths_report

Two 7 step journeys from a first session inside a 7 day window over the last 60 days: one ending in an order above the high value threshold (100 dollars by default), one ending below it or with no order at all. Surfaces the events unique to each side.

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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