What went wrong
Bad benchmarking trained good operators to ignore benchmarking altogether.
For years, benchmark content was usually built from broad surveys, narrow vendor datasets, or recycled averages stripped of operating context. The result was predictable: ecommerce teams were compared to B2B teams, brand campaigns were judged like demand-capture campaigns, and local-service funnels were flattened into the same tables as self-serve SaaS.
Once that happens often enough, marketers stop hearing “benchmark” as a helpful frame. They hear “benchmark” and assume the number is stale, overgeneralized, or being used to force an agenda. That distrust is rational. The category earned it.
Common failure modes
Mixed cohorts
Benchmarks blended unlike businesses, goals, and traffic types into one “industry average” that looked authoritative and meant almost nothing operationally.
Stale publication cycles
Reports stayed live long after auction pressure, privacy changes, creative norms, and platform behavior had already moved.
No downside labeling
Weak, thin, or low-confidence numbers were presented with the same confidence as stronger benchmark frames.
What changed for us
Benchmarks became useful again when we stopped asking them to be absolute.
A benchmark should tell you what kind of comparison is fair, not pretend every company belongs in one bucket. A benchmark should expose its limits, not hide them. A benchmark should route you into better decisions, not end the conversation with one number.That is the standard Benchmarketing is trying to hold. Not louder benchmarking. More defensible benchmarking.
Continue to Benchmarking Principles