A/B testing isn’t the goal, it’s your evidence. Use A/B testing to validate your customer understanding, your segment choices, and measure the effectiveness of your personalizations against defined goals.
Variation and control
A/B testing allows you to determine what impact your personalizations are having on your site. That’s why you need a variant and a control, with randomized allocation of visitors to each group based on traffic allocation.
Test meaningful hypotheses
You want experiences with meaningful impact. That means using data and insight you have to create experiences that can change visitor behavior.
Adopt industry-standard practices
Our experience in A/B testing shows that the best results are obtained by restricting the number of variations within an experience, using adequate sample sizes and concentrating on observed trends and not day-to-day fluctuations.
Validate visitor behavior
Draw on quantitative and qualitative insight to create experiences which influence visitors journeys’ across your entire digital presence.
Test targeted segments
Craft experiences to target underperforming customer groups or reach out to specific visitor segments, and make sure you’re having an impact.
Understand customer opinions
Test experiences and use surveys to gather first-hand feedback from your visitors, gaining a deep understanding of their preferences and opinions.
Utilize Qubit’s best-in-class Bayesian statistics engine to understand when an A/B or multivariate test really is having an effect, minimizing poor decisions caused by false positives
Accurately assess the impact of your personalized experiences by tracking them against revenue per visitor and revenue per converter.
Set up early indicator metrics such as email sign-up, add-to-basket, and content views, to measure progress throughout the lifetime of a personalization.