What Is a Leading Indicator? | Vantage
Leading Indicator A leading indicator is a metric that changes before the outcome it predicts. In product management, leading indicators predict future business outcomes: activation rate predicts retention, feature adoption predicts expansion revenue, and NPS predicts organic growth. Leading indicators give you time to act before outcomes materialize.
Why leading indicator matters
Lagging indicators (revenue, churn) tell you what already happened. Leading indicators tell you what will happen. If activation rate drops this month, retention will drop next month. By tracking leading indicators, PMs can intervene before bad outcomes materialize.
How it works
Identify leading indicators by analyzing correlations: which early user behaviors predict long-term retention? Which feature usage patterns predict expansion? The answer is specific to your product. Find the action that retained users take but churned users do not. That action is your leading indicator.
Common mistakes
Tracking only lagging indicators (revenue, churn) and reacting too late
Assuming leading indicators are universal (they are product-specific)
Not validating that the leading indicator actually predicts the outcome
Confusing correlation with causation (the indicator may not cause the outcome)
Related terms
How Vantage relates
Vantage connects to your analytics data so leading indicators can inform PRD generation. When you create a project to improve a lagging metric, the AI can reference leading indicators to ground the spec in actionable upstream metrics.