Fourteen product marketing use cases ranked by ROI a CFO can defend, effort to implement, risk of failure, and time to first result. Built for CMOs who need to move fast and show proof.
Every use case is scored on four dimensions. ROI measures direct pipeline impact. Effort reflects systems to connect and implementation complexity. Risk flags the failure modes that kill most AI investments before they prove anything. Data quality and adoption are the two that matter most. Time to Value is how fast you can show a result a CFO will recognize.
A use case earns a Revenue label only when it can be used inside a live deal to directly influence whether that deal closes this quarter. If the connection to a closed deal requires more than one inference step, it is labeled Strategic or Efficiency instead. That distinction matters when you are defending AI spend to a board.
The matrix plots ROI against Effort. Top-left is Quick Wins: high ROI, low effort, start here. Top-right is Major Bets: high ROI, high effort, typically requiring a data foundation first. Everything in the bottom half should be weighed against opportunity cost before committing resources.