Launch phase

A/BphaseContent.aBTesting.headerTitle2testing

Comparing different versions of a feature to see what performs best.

Purpose & value

We test multiple design or content variations to see what performs best—using real user data. A/B testing helps you improve conversions, reduce risk and make informed decisions with measurable results.

When to use

To validate changes before full rollout
When launching a new UI or feature
To improve conversion, engagement or retention
To validate changes before full rollout
When launching a new UI or feature

Our process


01Define a clear hypothesis and success metric

02Create A/B or multivariate variations

03Set up testing tools (GA, Mixpanel, VWO, etc.)

04Run the test and monitor performance

05Analyze results, declare a winner and implement
Case study visual

Who’s involved

Product managerDeveloperData or Marketing team

Deliverables

Live A/B or multivariate testPerformance report with metrics and insightsRecommended actions based on results

Case study

We ran an A/B test for a pricing page redesign, comparing copy and layout options. Over 3 weeks, the winning version increased sign-up conversion by 28%—with no disruption to live traffic and full confidence in the outcome.



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