Design and analyze A/B and multivariate tests in Braze.
npx skills add https://github.com/delta-and-beta/braze-agency --skill analyst-testing
Please help me install this Agent Skill. Skill: analyst-testing Source: https://github.com/delta-and-beta/braze-agency/tree/main/skills/analyst-testing Command: npx skills add https://github.com/delta-and-beta/braze-agency --skill analyst-testing
Braze-based experimentation is complex: teams need structured design, robust analysis, and reliable interpretation to drive trustworthy campaign improvements. This skill acts as a guide to design, execute, and reason about A/B and multivariate tests, including how to choose optimization strategies and how to relate results to platform-wide holdout concepts like global control groups.
Outline a basic A/B or multivariate test plan for your Braze campaign and configure the initial variants.
High-intent search queries and answers about installing and using this skill.
To design an A/B test in Braze, outline your campaign variants and apply experimental design principles to configure pre-test plans, optimization strategies, and conversion tracking for reliable results.
Braze A/B test analysis evaluates results using chi-squared testing and 95% confidence metrics to determine statistical significance and drive actionable, data-backed campaign decisions.
Yes, multivariate testing in Braze supports single-channel campaigns across push, email, webhooks, and canvases, allowing you to compare multiple variables and optimize outcomes simultaneously.
A global control group in Braze is a platform-wide holdout used to contextualize campaign lift and significance. You need it when measuring true incremental impact across random buckets.
Winning Variant optimization sends the best-performing variant to all users, while Personalized Variant optimization tailors variant selection to individual user preferences and behaviors.
Braze A/B testing requires race-condition awareness during global control group random bucket usage to prevent overlapping exposures that can skew incremental lift and significance measurements.
delta-and-betaAnalyze Braze audience segments, event frequency, and attribute correlations.
alexzuoshCompute descriptive statistics, trend analysis, outlier detection, and hypothesis tests.
delta-and-betaConfigure Braze dashboards to monitor analytics and interpret performance trends.
aaron-he-zhuDesign and analyze email A/B, multivariate, send-time, and hold-out experiments.
