Data Science

Final Project Part 7: Business Recommendations

Senior Data Analyst
May 27, 2026
5 min read

Insights

1. Customers with >90 days since last order are 5x more likely to churn.

2. Low purchase frequency is a major predictor—consider a loyalty program.

3. High support ticket count correlates with churn—fix product issues.

Recommendations

  • Target high-risk customers with a re-engagement email campaign.
  • Implement a loyalty program to increase purchase frequency.
  • Investigate top support issues.
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