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Maven Cafe Rewards Challenge

Tools used in this project
Maven Cafe Rewards Challenge

About this project

This dashboard provides a comprehensive overview of the effectiveness of our cafe’s reward offers. Key metrics include:

  • Total Offers Received: 76,277
  • Total Offers Viewed: 57,725
  • Total Offers Completed: 33,579
  • Total Transactions: 138,953

Visualizations:

  1. Pie Chart: Gender distribution of customers who received offers (58% female, 42% male).
  2. Bar Graph: Average age for different age groups (Youth, Adults, Teenagers, Seniors).
  3. Line Graph: Customer trends over the years, showing an increasing trend from 2014 to 2017.
  4. Bar Graph: Number of customers over the years.

These visualizations help us understand customer demographics and behavior, enabling us to tailor our marketing strategies for better engagement and profitability.

  1. Customer Insights: A bar graph showing the number of customers by age group and gender, and a pie chart displaying event participation percentage.
  2. Offer Type Total Rewards: A table with offer types (BOGO, discount, informational) and their respective counts and percentages across various channels (email, mobile, social media).
  3. Transactions by Days Passed: A line graph showing the trend of transactions over time since an offer was received.
  4. Totals by Offer Type: A bar chart showing totals by offer type and a detailed table with metrics such as offers received, viewed, and completed by age groups.

here are some strategies to improve customer satisfaction in your cafe business model:

  1. Personalized Offers:
    • Tailor reward offers to different customer segments based on age, gender, and purchasing behavior. For example, create special promotions for the most engaged age groups or offer discounts on popular items for specific demographics.
  2. Enhance Offer Value:
    • Increase the attractiveness of your offers by providing more value. This could include higher discounts, combo deals, or exclusive rewards for loyal customers. Ensure that the offers are compelling enough to convert views into completions.
  3. Optimize Timing:
    • Use the “Transactions by Days Passed” data to identify peak times for customer engagement. Schedule your promotions and staff shifts accordingly to ensure optimal service during busy periods.
  4. Improve Offer Accessibility:
    • Make it easier for customers to view and redeem offers. This could involve simplifying the redemption process, offering digital coupons, or integrating offers into your mobile app or website.
  5. Customer Feedback:
    • Regularly collect and analyze customer feedback to understand their preferences and pain points. Use this information to refine your offers and improve overall customer experience.
  6. Loyalty Programs:
    • Strengthen your loyalty program by offering tiered rewards, where customers can earn more points or benefits as they spend more. This encourages repeat visits and higher spending.
  7. Engage with Customers:
    • Foster a sense of community by engaging with customers through social media, email newsletters, and in-store events. Personalized communication can make customers feel valued and more connected to your brand.
  8. Monitor and Adjust:
    • Continuously monitor the performance of your reward offers and make data-driven adjustments. If certain offers are not performing well, tweak them or try new strategies to see what resonates best with your customers.

Additional project images

Events and Transactions
Customers Analysis
Discussion and feedback(1 comment)
comment-1787-avatar
Amira Shahin
24 days ago
Great job youssef Keep it up👏🎉
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