A well-run marketing machine was delivering results by every measure. Until they looked closer.
The Art of Decision-Making — An Executive Playbook for Nailing the 1% That Drives 50% of Success — is coming soon. In the book, I argue that the hardest part of decision-making isn’t making the right call. It’s recognising which decision actually matters. This case study didn’t make it into the final manuscript, but it’s one of the clearest illustrations of the 50:1 principle I’ve come across: a single, painful decision to stop doing something delivered more value than an entire roadmap of improvements. I’ll be sharing more stories like this in the lead-up to launch.
The dashboards were glowing green. Open rates above industry benchmarks. Unsubscribe rates under control. Cross-sell emails driving the all-important multi-product holding metric. The marketing team at a diversified financial services provider had built a campaign machine that, by every conventional measure, was winning.
Then the analytics team ran a controlled experiment. Nothing dramatic — just randomised holdout groups across every customer communication, designed to measure true incremental lift rather than raw response rates.
The first read-out rewrote the story entirely.
Several campaigns — including some of the team’s strongest performers — were increasing churn. Customers who received the communications were more likely to drop a product or not renew than customers who received nothing at all. The effect spiked around the end of financial year, when customers were already scanning their statements for recurring expenses to cut. A friendly cross-sell email, arriving at exactly the wrong moment, was functioning as a prompt to review — and cancel.
Behavioural scientists call these customers sleeping dogs — relationships that are perfectly stable until you remind the customer they exist. The campaign machine had been waking them up, at scale, for years.
What happened next is where the real decision-making story begins.
The first reaction was disbelief. The second was defence. “Let’s wait for more data.” “Let’s try another creative.” “Let’s at least run the EOFY campaign one more time — it’s already built.” The arguments were reasonable. They were also expensive. Every month of wait-and-see could be measured in lost customers.
This is the trap that the 50:1 framework is designed to expose. The team wasn’t failing to prioritise. They were prioritising the wrong thing — optimising execution of a machine that was pointed in the wrong direction. The critical 1% decision at that stage wasn’t how to run the campaigns. It was whether to run them at all.
Years of habit, targets anchored to send volume, team identities built around campaign excellence — all of it pointed one way, while the evidence pointed the other. Stopping felt like an admission that everything they’d built was wrong.
In the end, the cold-blooded business logic prevailed. The decision was surgical: some campaigns were killed outright, some were paused during renewal windows, some were suppressed for specific cohorts. “Stop sending emails” became, somewhat absurdly, the number-one initiative on the roadmap.
It cost almost nothing. It saved hundreds of customers a month. It was the highest-ROI initiative the team ran that year.
The critical discipline here is about the willingness to pull the handbrake when a number you trust contradicts a narrative you love — and to recognise that removing a line from the roadmap can be the most important decision.
That’s what nailing the 1% actually looks like in practice. Not a bold strategic pivot or a visionary bet. Sometimes, just the courage to stop.