Two-Step Bucketing with DISABLE_DECISION_EVENT: Pre-bucket Users Without Tracking Impressions

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Hello fellow Optimizely practitioners! Today we’re diving into a powerful but underutilized pattern in Feature Experimentation: two-step bucketing using DISABLE_DECISION_EVENT. Understanding Two-Step Bucketing Two-step bucketing is a strategic approach where you separate user assignment (bucketing) from impression tracking. Instead of the standard single decide() call that both assigns users to variations and immediately tracks impressions, … Read more

Overriding Variation Assignments in Optimizely: Complete Guide for Web and Feature Experimentation

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MAU Overrages

Whether you’re debugging an experiment, conducting QA testing, or demoing specific variations to stakeholders, you’ll inevitably need to override Optimizely’s default bucketing behavior. The challenge? Web and Feature Experimentation handle variation overrides differently, and the documentation scattered across multiple sources can make it confusing to know which method to use when. This comprehensive guide covers … Read more

Event Properties vs User Attributes in Optimizely: Essential Guide for Data Collection

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Hi there! Understanding the distinction between event properties and user attributes is crucial for effective data collection in Optimizely. This guide helps you implement the right strategy for your experimentation and analytics needs. Core Concepts: Properties vs Attributes Defined The fundamental difference between event properties and user attributes lies in their scope and persistence. Event … Read more

Optimizely Data Results Page: Gotchas and Edge Cases Every Experimenter Should Know

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Hello fellow experimenters! đź‘‹ If you have been working with Optimizely Data for a while, you have probably noticed some puzzling behaviors on the results page that left you scratching your head. Today we are diving deep into the edge cases and gotchas that every practitioner should understand to avoid common interpretation mistakes. Whether you … Read more