Measuring a 19-day decision with a 7-day report

A $460 phone is researched. Buyers read comparisons, check storage options, wait for a paycheck, come back three times. Even inside the reports the console does provide, two fifths of attributed sales arrived after day seven — and whatever lands beyond day fourteen is not reported at all.

The brand optimized on a seven-day report. Everything measured inside that window looked like a loss except the narrowest bottom-funnel terms, so over two years the account had been pruned down to exactly those: model-name-plus-storage searches by people who had already decided. Spend was efficient and the business had stopped growing, because every campaign that introduced the brand to a new buyer was switched off within two weeks of launch for failing a test it could not pass.

We changed the measurement before changing the spend.

• The yardstick changed to total-account economics — total sales against total spend on a rolling 28 days — because the console attributes seven and fourteen days and no setting extends that.
• Two separate budgets — a discovery budget judged on new-to-brand orders and assisted revenue, a harvest budget judged on immediate return.
• Upper-funnel terms reinstated with a minimum eight-week evaluation period, protected from being cut on one bad two-week stretch.
• Switch-back tests on the discovery campaigns, eight weeks on and four off, which is the only way to see a lag this long without per-user data.

Measured as total sales over total spend, the account returns 4.8x where the seven-day attributed report had been showing 2.1x — most of that gap was always there and simply outside the window the console reports.

Revenue grew 69% and new-to-brand orders nearly tripled, because a third of the budget is now spent introducing the brand to people who have not decided yet. The old approach was not wrong about its numbers; it was reading a seven-day window on a decision that takes weeks, and concluding that demand generation does not work.