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bounce-rate

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A/B test analysis for Maven Fuzzy Factory comparing bounce rates between the original homepage (/home) and a new landing page (/lander-1). Using SQL to filter traffic, calculate bounce rates, and verify statistical significance with 95% confidence intervals. Includes business recommendations and next steps for implementation.

  • Updated Sep 1, 2026

A data-driven A/B testing project comparing website performance under Light and Dark themes. Analyzes user engagement metrics using statistical tests, correlation analysis, and predictive modeling to identify behavioral patterns and theme effectiveness. Built in Python using Jupyter Notebook with pandas, seaborn, and scikit-learn.

  • Updated May 9, 2025
  • Jupyter Notebook

Bulk email verification & bounce rate checker. Verify email lists, reduce bounces, clean CSV files. 9-point verification engine. Free tools + 5,000 free credits. Powered by Mailthentic.

  • Updated Apr 8, 2026

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