Two campaigns in the same account. Same team, roughly the same period. One delivered leads at a fraction of the cost of the other.
This is the story of the first.
A residential project in New Cairo. Seventeen days, from 17 January to 3 February 2026. A fixed daily budget, never raised or lowered once.
The result: 496 leads.
The number alone says nothing. The comparison gives it meaning. This campaign's cost per lead was 71% better than the portfolio average. CPM was less than half the account average, reaching people at a fraction of the cost. CTR held at 1.44% across all seventeen days without declining. Frequency was 2.73, the lowest in the entire account.
So what was done differently?
Nothing magical. Two things.
First, ABO on a fixed budget. When the algorithm knows the number is the same every day, it learns and stabilises. Most other campaigns in the same account had budgets moving every few days, and every move pushes learning backwards and makes you pay for it again.
Second, frequency discipline. The ad wasn't shown to the same person more than three times on average, so CPM stayed cheap and CTR stayed flat, because the audience never burned.
Notice how those connect: low frequency protected the CPM, and the cheap CPM is what produced the cheap lead. Not a clever targeting adjustment. Discipline on two variables.
The audit verdict was proven winner, and that phrase means the model is repeatable on another project under the same rules, rather than a one-off piece of luck.
Which is why we show it next to the campaign that failed in the same portfolio. Both sat in the same account, same team, same period. The difference wasn't tools or skill. It was rules.
Consistency wins the algorithm. A budget moved on instinct pays the learning cost again every time.
