LinkedIn Learning Monetization: Product Levers to Earn More from Each Learner

LinkedIn Learning is LinkedIn's library of online video courses. You are its product manager and are asked how you would increase the average revenue per user (ARPU) that LinkedIn Learning earns from its users. Explain which users and revenue streams you would focus on, what you would change in the product, and how you would know it worked. ```hint Break the ratio apart ARPU is a ratio. Split it into the pieces you could actually move, and notice which moves would raise the number without anyone getting more value. ``` ### Clarifying Questions - Which users are in the denominator: people who pay for Learning on their own, Premium members who get it in their plan, employees on company-paid licenses, or free and trial learners? - Which revenue counts as Learning revenue: standalone subscriptions only, a share of Premium, enterprise licenses, or all three? - Are price changes in scope, or should the answer focus on product and packaging? - Must the plan avoid hurting other LinkedIn revenue, such as Premium sign-ups or enterprise renewals? ### What a Strong Answer Covers - A decomposition of ARPU into levers (paying share, tier and price mix, add-on attach, seat value), and awareness that the ratio can rise simply because low-paying users leave. - A chosen segment with a specific unmet need, and product changes that create value that segment would pay for. - Use of assets unique to LinkedIn rather than ideas any course platform could copy. - Prioritization by revenue impact, effort and risk to the rest of LinkedIn's business. - Success metrics with guardrails such as churn, learner engagement and cannibalization. ### Follow-up Questions - ARPU rose 10 percent after your launch, but monthly active learners fell. Was the launch a success? - How would you keep a new paid tier from drawing people away from LinkedIn Premium? - Which experiment would you run first, and what result would make you ship it?