What metrics would you use to evaluate Curve's cashback rewards program?

Introduction

Evaluating Curve's cashback rewards program requires a comprehensive approach to product success metrics. To address this challenge effectively, I'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders. This approach will help us gain a holistic understanding of the program's performance and impact.

Step 1

Product Context

Curve's cashback rewards program is a feature of their all-in-one card and app that allows users to earn cashback on purchases made with selected retailers. The program aims to incentivize card usage and increase customer loyalty.

Key stakeholders include:

• Users: Seeking to maximize rewards and savings
• Curve: Aiming to increase card usage and revenue
• Partner retailers: Looking to drive sales through the program

User flow:

1. Users sign up for Curve and activate the cashback program
2. They select retailers from available options
3. Users make purchases with their Curve card at selected retailers
4. Cashback is automatically credited to their Curve account

The program fits into Curve's broader strategy of becoming the go-to financial super app by offering unique benefits that traditional banks don't provide. Compared to competitors like Revolut or N26, Curve's program stands out by allowing users to earn cashback on top of existing card rewards.

In terms of product lifecycle, the cashback program is likely in the growth stage, with opportunities for expansion and optimization.