A/B Testing for Marketing Conversion
A/B testing project analyzing the impact of a marketing ad campaign on user conversions using Python, PostgreSQL, and Excel. Includes statistical tests (Z-test, Chi-square), data cleaning, SQL queries, and business insights.
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A/B testing project analyzing the impact of a marketing ad campaign on user conversions using Python, PostgreSQL, and Excel. Includes statistical tests (Z-test, Chi-square), data cleaning, SQL queries, and business insights.
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A/B testing project analyzing the impact of a marketing ad campaign on user conversions using Python, PostgreSQL, and Excel. Includes statistical tests (Z-test, Chi-square), data cleaning, SQL queries, and business insights.
Current README excerpt
This project explores the effectiveness of a marketing ad campaign using A/B testing through a combination of Python, SQL, and Excel.
A source excerpt, not an independently verified outcome.