Netflix Subscription Revenue Projection

This problem practices the core revenue build for a subscription media company, combining subscriber counts, churn, net additions, and average revenue per user into one forecast. For TMT interviews, that matters because analysts are often expected to translate product and customer dynamics into a revenue model, especially when the company does not disclose every operating metric and assumptions have to be inferred from market data, pricing trends, and competitive behavior.

It also tests whether a candidate can think like an investor by separating retention from acquisition, considering the impact of pricing changes and content competition, and avoiding double counting in the revenue build. Interviewers use questions like this to see if you can structure a forecast logically, explain your assumptions clearly, and connect industry context to financial performance.