Run a real CRO program, not a one-off test

Most conversion work stalls after one or two tests because there's no system for what to test next. This runs the full loop - find the drop-off, design the experiment, ship variants, analyze, then kill or promote - as a repeatable program.

Analyticsexperience-optimizerallAdvanced5 steps5 outputs

+1 more

Report Experiment Personalization Content Asset Dashboard

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What it does

Finds real drop-off points, designs an experiment around each, ships the variants, analyzes the results, and either kills or promotes the winner.

You get

a repeatable

end-to-end CRO program instead of a one-off test

How it works

Find Dropoff

build_funnel_report

Build funnel report identifying highest-impact drop-off step in conversion path.

Produces:Report

Design Experiment

Run Experiment

Define experiment hypothesis, variants, primary metric, sample-size target, and stop conditions.

Produces:Experiment

Build Personalization

create_personalization

Configure personalization rule that serves variant content to assigned cohort.

Produces:Personalization

Build Variants Content

Generate Content

Generate variant content (copy, layout, CTA changes) per the experiment design.

Produces:Content Asset

Build Results Dashboard

Build Dashboard

Compose a dashboard tracking experiment lift, statistical significance, and segment-level performance.

Produces:Dashboard

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In the words of50+ live tenants.

“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

“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

“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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