If tasked with estimating the potential revenue for a subscription-based service, what key metrics would you analyze and why?

In my final year of college, I worked on a project where we had to estimate the potential revenue for a subscription-based service that offered exclusive access to campus events. We identified key metrics like 'Total Addressable Market (TAM),' which involved surveying students to gauge interest. We also analyzed 'Churn Rate' by considering how often students would stop subscribing after an event. By combining these metrics, we projected potential revenue based on different pricing models and student demographics. This experience taught me the importance of understanding user engagement and market needs.

While volunteering for a local non-profit, I helped develop a subscription model for monthly donors. We focused on metrics such as 'Customer Acquisition Cost (CAC)' by analyzing how much we spent on marketing versus how many new subscribers we gained. We also looked at 'Lifetime Value (LTV)' by estimating how long donors would continue contributing. This hands-on experience highlighted the importance of engaging with our audience and understanding their capacity to give, ultimately helping us set realistic revenue goals.

In my first part-time job at a local gym, I assisted in analyzing their membership subscriptions. We evaluated metrics like 'Average Revenue Per User (ARPU)' to understand how much each member typically paid monthly. We also looked at 'Seasonal Trends' since memberships often spiked in January. This role taught me how to apply analytical skills to real-world scenarios, and I learned that understanding customer behavior is just as important as the numbers themselves.