Introduction
To enhance Curve's cashback rewards program and better incentivize user spending, we need to conduct a comprehensive analysis of the current program, user behavior, and market trends. I'll approach this challenge by examining key stakeholders, identifying pain points, generating innovative solutions, and proposing metrics to measure success.
Step 1
Clarifying Questions
Why it matters: This information will help us understand the program's current reach and effectiveness. Expected answer: About 60% of users actively participate, with average monthly cashback earnings of $15. Impact on approach: Low participation or earnings would suggest a need for increased awareness and more attractive rewards.
Why it matters: Understanding our competitive edge will guide our improvement strategy. Expected answer: Curve offers cashback across multiple cards and currencies, but rates are average. Impact on approach: We might focus on enhancing cross-card integration or exploring niche cashback categories.
Why it matters: This insight will help us tailor our cashback program to user preferences and potentially identify new partnership opportunities. Expected answer: Top categories include dining, travel, and online shopping. Impact on approach: We could consider boosting cashback rates in popular categories or introducing tiered rewards for high-spend areas.
Why it matters: This will ensure our improvements align with overall company strategy. Expected answer: The cashback program is seen as a key driver for user acquisition and retention, with goals to increase average user spend by 20% in the next year. Impact on approach: We would focus on solutions that not only enhance cashback but also drive overall platform engagement and spend.
Tip
Now that we've gathered some crucial information, let's take a minute to organize our thoughts before moving on to user segmentation.
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