With A Straight Bat

Blog inspired by something I see: In life and in marketing, we mistake small signals for big intent. A sigh misread as judgment or a click mistaken for commitment. This blog is about those false positives, and the trust they quietly erode.

Modern marketing technology is truly remarkable. It can trace nearly every step a prospect takes: from white‑paper downloads to scrolling behaviors, even the length of pauses on product pages. Yet therein lies the rub. Machines and marketers alike sometimes mistake curiosity for commitment. We mistake fleeting interest for intent, turning polite engagement into an assumed readiness to buy. Those mistaken signals are marketers’ false positives. And unlike in cybersecurity, where a false alarm is usually just inconvenient, in marketing they can erode all-important trust.

There are signs of this in 2025. Gartner finds that companies using AI‑powered lead‑scoring systems have improved their conversion rates by an average of 25%, with up to a 30% reduction in false positives, clearly progress, but not perfection.  Still, legacy models remain riddled with misclassifications: up to 27% of leads are miscategorized by traditional systems, leading both to lost opportunities and wasted time chasing unqualified leads.

This isn’t just a technical dilemma. Psychologists like Daniel Kahneman remind us that our brains are primed to detect patterns, even where none exist. It’s a survival strategy written into our genes: better to believe the wind rustling the grass is a predator than to assume it’s safe. AI inherits this bias, creating a flood of signals masquerading as intent. In marketing, one misunderstood click has a way of becoming a story that can sting.

The antidote is restraint: assume less, wait for pattern, demand context. Successful lead-scoring systems layer signals (firmographic data, behavioral cues, temporal triggers) before sending anything to sales. They don’t act on one click, but on a sequence, a surge, a moment that moves. That discipline, far from being indifferent, is what customer-centricity looks like in a noisy world.

That lesson applies well beyond pixels and pipelines. Our lives are increasingly dominated by alerts (notifications, pings, badges that demand attention). We treat every chime as urgent. But attention is finite. Just as our phones should only buzz for what truly matters, our brands should only call for engagement when it’s earned.

History reminds us of the stakes: during the Cold War, radar watchers frequently mistook birds or atmospheric gasses for incoming missiles. Most false positives. Few disasters. The system worked not because it never erred, but because humans flipped circuits, asked for confirmation and only sounded the alarm when it truly counted.

In marketing, not unlike national defense, we don’t need zero false positives; we need fewer, and better-calibrated ones. We must develop feedback loops, learn from what didn’t convert, recalibrate thresholds, and correct with context, not optimism.

Let me close with a quieter image: noise versus music. Too much noise dulls the ear; music becomes background. But when the music is rare, it stops time. In marketing, real interest isn’t forged through persistent repetition. It’s created through moments that matter. The difference between the two, the false alarms versus the resonant note, is where trust lives, and where reputation grows.

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