We understand that leading indicators predict future results, but how do we prove a direct, mathematical correlation between a weekly leading indicator and our quarterly revenue target without building overly complex statistical models?

Question

Tyler Smith · Accepted Answer

You do not need a degree in statistics or complex regression modeling to connect your leading indicators to your financial outcomes. In fact, over-engineering this relationship will only paralyze your leadership team. To establish a clear connection, you need to work backward from your ultimate lagging metric, such as monthly revenue, using simple historical averages.

Start with your target revenue and divide it by your average contract value to determine how many new clients you need. Then, look at your sales pipeline data to find your average conversion rate from proposal to close. If you close one out of three proposals, and you need three new clients, you must send nine proposals. Work backward once more. How many discovery calls does it take to generate those nine proposals? If half of your discovery calls lead to proposals, you need eighteen discovery calls.

The weekly number of discovery calls completed is your leading indicator. Put that number on your Scorecard with a weekly target of five, assuming a four-week month. If you hit that leading number consistently, the lagging revenue target will take care of itself. Track this relationship over a trailing twelve-week period. You will quickly see the direct correlation between the leading activity and the lagging financial result without ever touching a complex spreadsheet.