Optimizely Personalization's Stats Engine helps you get the most out of your personalization campaign results. You can also filter your results to better understand how your personalization campaigns are performing.
- Stats Engine resources – Statistics are a core part of Optimizely. Learning how the Stats Engine processes your customer data lets you get more meaningful results from your campaigns, turn those results into action, and build an effective culture of personalization in your company.
- Segment your results – You can filter your unarchived experiment results to see if certain groups behave differently from your visitors overall.
- IP Filtering: Exclude IP addresses or ranges from your results – Exclude certain IP ranges from showing up in your campaign results. This is also how you can exclude yourself or your company from campaign results.
- How Optimizely Experimentation counts conversions – Learn how Optimizely counts conversions for your variations.
- Statistical significance – Learn how to better analyze the statistical significance of your campaign results.
- Calculate the statistical likelihoods of variations using Stats Engine – When you run campaigns, Optimizely determines the statistical likelihood of each variation actually leading to more conversions on your metrics.
- Why Stats Engine controls for false discovery instead of false positives – Make business decisions based on reliable results.
- How and why statistical significance changes over time – Statistical significance should generally increase over time instead of fluctuating as Optimizely Personalization collects more evidence. More substantial evidence progressively increases your statistical significance.
- Confidence intervals and improvement intervals – Learn how statistical significance and confidence intervals are connected, and when Optimizely declares significance.
- Why is my experiment failing to reach statistical significance? – Learn about the common causes for issues with reaching statistical significance.
- Why Stats Engine results sometimes differ from traditional statistics results – Sometimes, Optimizely declares a winning variation in a situation where a traditional t-test would fail to find any statistically significant difference between it and the other variations. This is because Optimizely Stats Engine uses an approach that differs from those used in classical statistics-based models, which is simultaneously more conservative in declaring a winner and less likely to reverse that declaration as more data accumulates.
- Send all traffic to a winning variation – If you see a winning variation on your Campaign Results page, you can send all traffic to it.
- Reference for columns in CSV export files for campaigns and experiments – You can export your campaign results as a CSV file using the Optimizely REST API and through the web app for Optimizely Personalization.
- Access Optimizely Experimentation Event Export data – Learn how to access and export event data from Optimizely Personalization for analysis and visualization.
Article is closed for comments.