SaaS & Monetization · Pricing Strategy · Medium · 25-35 min

Repricing a SaaS Product

Repricing a SaaS Product is a medium SaaS & Monetization pricing strategy case interview that runs 25-35 min. A SaaS company prices per-seat, but customers are sharing logins and usage no longer tracks value — the heaviest users pay the same as light ones. A strong answer works through 5 phases: Identify the value metric; Diagnose why per-seat is breaking; Compare per-seat vs usage vs hybrid, and how each aligns price with value and cost; Plan migration; Recommend a model and a transition path that protects revenue and the base.

Last updated 2026-09-05

The brief

A SaaS company prices per-seat, but customers are sharing logins and usage no longer tracks value — the heaviest users pay the same as light ones. AI features have also raised the company's cost-to-serve. Leadership is considering moving to usage-based or hybrid pricing. You're asked whether to change the model and how to do it without churning the base.

How to approach it

  1. Identify the value metric — what scales with the value the customer gets (seats, usage, outcomes)
  2. Diagnose why per-seat is breaking — login-sharing, no link to value, AI cost-to-serve
  3. Compare per-seat vs usage vs hybrid, and how each aligns price with value and cost
  4. Plan migration — grandfathering, communication, avoiding bill-shock and churn
  5. Recommend a model and a transition path that protects revenue and the base

What a strong answer does

  • Centers the decision on choosing the right value metric, not just the mechanism
  • Recognizes hybrid (platform fee + usage) often beats pure usage for predictability
  • Plans grandfathering and phased migration to avoid churning existing customers
  • Connects AI cost-to-serve to the need for usage-linked pricing
  • Considers the effect on revenue predictability and sales motion

Red flags interviewers score down

  • Switches to pure usage-based overnight with no migration plan, risking churn and bill-shock
  • Picks a pricing mechanism without identifying the value metric
  • Ignores the impact on revenue predictability and forecasting
  • Doesn't address how AI cost-to-serve changes the economics

Cases are written in each firm's style, written and reviewed by working consultants; they are not the firms' own published cases.

More SaaS & Monetization cases