Leading vs Lagging Indicators
Some metrics tell you what happened. Others tell you what's about to happen. Know the difference.
Key Takeaways
- Lagging indicators measure what has already happened (revenue, profit).
- Leading indicators predict what is likely to happen (website traffic, quote pipeline).
- Great BI uses both — lagging to measure, leading to steer.
The difference in one sentence
A lagging indicator tells you the result. A leading indicator tells you the input that drives the result. Revenue is a lagging indicator — by the time you see it, the decisions that created it have already been made. Website visitors and sales enquiries are leading indicators — they predict what revenue will be next month.
Why lagging indicators alone are dangerous
Most founders watch revenue, profit, and cash — all lagging. That is like driving using only the rear-view mirror. You know where you have been, not where you are going. If revenue drops this month, the cause likely happened six to eight weeks ago. Acting on lagging data alone means you are always reacting late.
Leading indicators for common business types
eCommerce: website sessions, add-to-cart rate, abandoned carts. SaaS: free trial sign-ups, feature activation rate, support ticket volume. Services: pipeline value, proposal win rate, client satisfaction scores. Physical retail: footfall, basket size, return customer rate.
How to use both
Use lagging indicators to confirm whether your strategy is working. Use leading indicators to detect problems early enough to fix them. AskBiz tracks both and flags when a leading indicator starts moving in a direction that historically precedes a drop in your lagging KPIs.