Paid
A B2B company runs two LinkedIn ad variants with identical budgets. Ad A has a 1.8% CTR; Ad B has a 0.6% CTR. Ad A appears to win. However, analysing the downstream data shows that Ad A's landing page converts clicks to form submissions at 3%, while Ad B's landing page converts at 12%. Ad B produces more form submissions per pound spent despite the lower CTR. CTR was misleading when examined in isolation.
A company running LinkedIn and Google campaigns rebuilds how it uses CTR so the team can compare channels with the same rules. That makes spend allocation more defensible and test results easier to trust. They also make sure it connects cleanly to Conversion rate and Creative fatigue so the definition is not trapped inside one team.
The immediate payoff is better optimization speed. Weak variables are identified faster, budget moves happen with more confidence, and the team stops chasing vanity improvements that do not survive downstream review. They track CPL, downstream quality, and spend efficiency before and after the change so they can tell whether CTR is improving the business or only improving surface activity.


