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Tools used in this project
Coffee Shop Customer Rewards

Maven Analytics Reward Challenge

About this project

Project Description: 30-Day Reward Marketing Strategy for Coffee Shop

Business Case:

The coffee shop industry is highly competitive, requiring innovative strategies to boost customer engagement, increase average transaction value, and maintain customer loyalty. This project was initiated to address the need for a targeted marketing approach that not only rewards customers but also drives higher spending and attracts new clientele. By leveraging customer data and insights, the 30-day reward marketing strategy aimed to capitalize on existing customer behaviors while enticing new and high-value customers to spend more during the campaign period. The ultimate goal was to increase overall revenue, improve customer retention, and strengthen the coffee shop’s market position.

Key Insights:

  1. Gender-Based Spending Patterns: Analysis revealed that female customers tend to spend more per transaction compared to their male counterparts. This insight highlighted the potential to create targeted promotions that cater to female customers, encouraging them to spend even more.
  2. Customer Loyalty vs. New Customer Spending: It was found that new customers typically spend more per transaction than those who have been loyal to the coffee shop for over 2 years. This insight suggested an opportunity to create rewards that incentivize both new customers to return and loyal customers to increase their spending.
  3. Income Demographics: Customers with an income between $50,000 and $75,000 emerged as the highest spenders. This key demographic was identified as a prime target for premium reward offers and exclusive experiences that align with their spending capacity and preferences.

Impact:

The 30-day reward marketing strategy drove significant business impact across several key areas:

  1. Increased Average Transaction Value: By implementing a tiered rewards system and offering targeted promotions, the strategy successfully increased the average transaction value, particularly among female customers and those within the $50,000-$75,000 income bracket. The incentives encouraged larger purchases and added value for both new and loyal customers.
  2. Enhanced Customer Engagement: The multi-channel marketing approach, utilizing personalized emails, social media campaigns, and mobile notifications, resulted in higher customer engagement. The tailored messaging resonated with different customer segments, driving higher participation rates and encouraging repeat visits.
  3. Revenue Growth and Customer Retention: The campaign not only attracted new customers who were motivated by the appealing rewards but also reinvigorated spending among long-term loyal customers. This led to a noticeable increase in overall revenue during the 30-day period. Additionally, the personalized rewards and targeted offers helped to strengthen customer loyalty, ensuring continued patronage beyond the campaign.

Overall, the 30-day reward marketing strategy demonstrated the effectiveness of data-driven marketing in driving tangible business outcomes, making it a valuable model for future campaigns.

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