Repeat Customer Rate with PowerBi

Summary of the Project

• Monthly Trends of Repeat Customers:
  I analyzed the monthly trends of repeat customers to understand loyalty over time.
• Seasonal Spikes in Repeat Business:
  I pinpointed any months or seasons with notable increases in repeat customers to assess possible seasonal influences.
• Sales Attribution to Repeat Customers:
  I calculated the percentage of monthly sales attributed to repeat buyers to measure the impact of customer loyalty on revenue.
• Correlation Between Campaigns and Repeat Business: I evaluated the effect of specific campaigns or promotions on boosting repeat customer rates.
• Visualize Repeat Customer Patterns: I visualized representation of repeat customer trends to discuss and share during strategy sessions.