DIAGENTO / DIGITAL ENGINEERING STUDIOPROJECTS / DS—003
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PROJECT STUDY / CONSUMER BEHAVIOR

Understand the choice.
Improve the journey.

Combine event data, customer segments and focused experiments to understand friction in the buying journey.

Customer researchCohort analyticsConversion experimentsDecision science
Illustration for Behavioral analysis and growth experiments
APPROACH / DELIVERY CONCEPT

How it could work.

A conversion rate shows where the journey ends, but it rarely explains why customers leave. The useful answers come from connecting behavior to context.

This approach links first-party events, product-level signals and segments to testable ideas for improving checkout, recommendations and campaign relevance.

WORKFLOW / REVIEW POINTS
01Define events, attribution windows and consent boundaries
02Build segments from permitted, pseudonymized datasets
03Find friction points and changing demand patterns
04Generate controlled interventions with transparent assumptions
05Evaluate uplift against holdouts and change risk
MEASUREMENT FRAMEWORK

What we would track.

A sample measurement framework for a conversion experiment, with its audience definition and follow-up tests agreed in advance.

+9.4ppmodelled conversion change
6example customer segments
3experiment rounds
Figures show a possible experiment scenario, not results from a customer campaign.
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