A/B Test Analysis
An A/B test is only valuable when the analysis is correct. I analyze your experiment from both frequentist and Bayesian perspectives, perform segment analyses (device, traffic source, new vs. returning) and calculate the actual business impact. You'll receive a clear report with a substantiated winner recommendation and concrete next steps.
What you get
Statistical analysis (frequentist + Bayesian perspective)
Segment analysis (device, traffic source, new vs. returning)
Confidence intervals and statistical power assessment
Revenue / conversion impact calculation
Substantiated winner recommendation with nuances and caveats
Implementation advice for the winning variant
Recommendations for follow-up experiments
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