Marketing_AB_Testing_Project

A/B TESTING

Null Hypothesis (H0): There is no difference in average weekly sales between the campaigns.

Alternative Hypothesis (H1): There is a significant difference in average weekly sales between the campaigns.

Pairwise Comparisons:

1. Campaign 1 vs. Campaign 2:

• Interpretation: The p-value is far below the significance threshold of 0.01, indicating a significant difference in average weekly sales. • Conclusion: Campaign 1 significantly outperforms Campaign 2.

2. Campaign 1 vs. Campaign 3:

• Interpretation: The p-value exceeds 0.01, meaning we fail to reject the null hypothesis. • Conclusion: There is no statistically significant difference in performance between Campaign 1 and Campaign 3.

3. Campaign 2 vs. Campaign 3:

• Interpretation: The p-value is well below 0.01, indicating a significant difference in average weekly sales. • Conclusion: Campaign 3 significantly outperforms Campaign 2.

Insights and Recommendations:

1. Campaign 1 is the best-performing campaign overall, showing statistically significant improvements over Campaign 2. However, its performance compared to Campaign 3 is not statistically different, suggesting Campaign 3 could also be considered a viable option.
2. Campaign 3 performs significantly better than Campaign 2, making it a better alternative to Campaign 2 if Campaign 1 is not chosen.
3. Prioritize Campaign 1 as the default marketing strategy, given its strong performance.