At the beginning of a deployment, the priority should be volume and learning — not perfection.
Overly restrictive targeting often reduces the number of leads generated before teams have enough data to understand what actually performs well.
The recommended methodology is simple:
Launch with relatively broad targeting
Observe the quality of the leads generated
Identify patterns
Refine targeting and exclusions progressively
This iterative approach consistently produces better long-term results than trying to define perfect targeting upfront.
