Pricing Page A/B Testing — Experiment Design, Statistical Inference & Growth Analytics скачать в хорошем качестве

Pricing Page A/B Testing — Experiment Design, Statistical Inference & Growth Analytics

. In this video, I walk through a real-world A/B Testing project focused on optimizing a Pricing Page for a subscription-based product. We cover the entire experimentation lifecycle—from defining the business problem and hypotheses, to metric design (primary, secondary, and guardrails), sample size calculation, and statistical testing. We will: 1) Design a clean and unbiased A/B test 2) Define exposure, conversion windows, and attribution rules 3) Choose the right primary, secondary, and guardrail metrics 4) Perform sanity checks (SRM, funnel ordering, data quality) 5) Apply one-tailed z-tests and interpret p-values correctly 6) Translate statistical results into clear product decisions (launch, iterate, or rollback) #ABTesting #ProductAnalytics #DataScience #GrowthAnalytics #Experimentation #Statistics #ConversionOptimization #PricingStrategy #DataDriven #analytics 🧷 If you like, you can walk through the project's materials: https://github.com/M3hrdad-Dehghan/Da... ------------------------------------------------------------------- Also, you can find more videos like this in the below playlists: ✔️    • Data Analysis Projects   ------------------------------------------------------------------- I'd be pleased if you see my profile: 🔶 https://github.com/M3hrdad-Dehghan 🔶   / mehrdad-dehghan