Click-Through Rate (CTR)
CTR doesn't measure how good an ad looks. It measures how well the promise made in the ad matches what the viewer is actually looking for at that moment.
“A high CTR that brings in leads no salesperson wants in the pipeline isn't a marketing win. It's a cost disguised as a vanity metric.”
Otto GTM ObservatoryWhy CTR alone lies
CTR answers only one question: how many of those exposed clicked. It says nothing about who clicked, whether they matched the ICP, or whether the click turned into a qualified lead. In B2B, aggressively optimizing CTR with ambiguous or clickbait creative often brings a traffic increase paired with a collapse in generated lead quality, a trade-off rarely worth the extra volume.
CTR read together with post-click conversion rate and lead quality (MQL rate, SQL rate) tells a much more complete story: an ad with modest CTR but high downstream conversion is almost always preferable to an ad with excellent CTR and negligible conversion.
Anti-patterns
Common mistake: optimizing campaigns only on CTR, rewarding ambiguous creative or exaggerated promises that attract clicks but not the right audience, with a direct effect on downstream funnel quality.
Second mistake: comparing CTR between structurally different channels or formats (search vs. display, LinkedIn vs. email) as if they were equivalent measures, drawing meaningless relative performance conclusions.
Practical Application
A B2B company tests two LinkedIn ad variants: variant A gets a 3.8% CTR but only 4% of clicks become MQLs; variant B gets a 1.9% CTR with 22% of clicks becoming MQLs. Despite the nearly double CTR, variant A generates a €340 cost per MQL versus €195 for variant B, which is chosen for budget scale-up.