A / B testing

Imagine you have two potential solutions to solve a conversion challenge, but don't know which will yield the best results. A/B testing allows you to test them against each other, or add additional variables to compare performance. It helps you analyze visitor behavior, run simple comparison, split or multivariate tests, and find out which of these versions give you better test results.

While the metrics for conversions will differ for every project, A/B testing is highly effective in:

Solving user pain points

Getting a better ROI from existing traffic

Reducing bounce rates

Making low-risk changes and achieving statistically significant results

Use this methodology to boost your conversion rates

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Sample activities + deliverables

Current state conversion audit

Hypothesis formulation

Developing solutions and variants for testing

Analysis and delployment

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