The New KPI Every Growth Team Should Measure Before Conversion
Behavioral Intelligence Brief #10
In 1975, economist Charles Goodhart wrote a line about monetary policy that has quietly become one of the most useful ideas in business: when a measure becomes a target, it ceases to be a good measure. The moment a number gets tied to a bonus, a board slide, or a performance review, people optimize for the number instead of the outcome it was supposed to represent.
Most growth teams in wealth management are living inside that trap right now, and most don't know it. MQL (Marketing Qualified Leads) volume becomes the target. Lead score becomes the target. Both climb every quarter. Neither one was ever a reliable stand-in for whether the firm is actually winning new clients, and the gap between the number on the slide and the number that matters keeps quietly widening.
The Foundation Underneath the Number Is Already Broken
It gets worse before it gets better. Validity's 2026 State of CRM Data report found that 76% of organizations say less than half of their CRM data is accurate and complete. That statistic matters more than it sounds like it should, because every lead score, every MQL threshold, every routing rule a growth team relies on is built on top of that same CRM data. A scoring model layered on incomplete, outdated records doesn't produce a wrong number occasionally. It produces a wrong number by design, then reports it with total confidence.
Salesforce's own 2026 State of Sales report captures what that looks like in practice. Sales teams are devoting nearly a full day of their workweek to prospecting, and 48% still say they don't have the bandwidth to do adequate outreach. One sales leader in the report described the old process bluntly: for years, untouched leads were simply left to fall to the floor like sawdust. It's the predictable result of a system generating volume that nobody has the context, or the confidence in the data, to actually act on.
Why AI Doesn't Fix It
The instinct is to solve this with more AI, more automation, more activity scoring. Salesforce found that 55% of sales professionals are already using AI for prospecting, with another 38% planning to. But Goodhart's Law doesn't care what technology is running the scoring model. If the underlying target is still volume, or still an activity count built on broken CRM data, AI just executes the same flawed target faster. It gets better at hitting a number that was never the right number to hit.
What a Metric Has to Be Built On to Resist This
A KPI resists Goodhart's Law when it can't be gamed by generating more of the easy thing. Email opens can be inflated by better subject lines. Lead volume can be inflated by loosening a form. Neither one requires a prospect to actually reveal anything true about their intent. A metric built on what a prospect volunteers, in their own words, about what they actually want and why they're ready to act now, is much harder to game, because there's no cheap proxy behavior that produces it. You either captured the real signal or you didn't.
That's the standard the Knomee Quotient is built to meet. Instead of scoring a prospect on CRM activity or firmographic fit, both of which inherit every flaw sitting in that 76% of inaccurate CRM data, it measures genuine, self-reported readiness: what a prospect is actually trying to accomplish and how close they are to acting on it. It's a number a growth team can safely turn into a target, because gaming it would require a prospect to lie about their own motivation, not just click one more link.
The KPI Worth Putting in the Board Deck
If your team's headline metric is MQL volume or lead score, you're optimizing for a number Goodhart could have predicted would stop meaning anything the moment it became the target. The metric worth reporting next quarter isn't how many leads entered the funnel. It's how many of them showed real, volunteered signal that they were ready to convert, measured on data solid enough to trust in the first place.
Sources
Charles Goodhart, Bank of England, 1975 (Goodhart's Law)
Validity, 2026 State of CRM Data Report
Salesforce, State of Sales Report 2026
