Benchmark framework · Updated Aug 2026
B2B Paid Ads Benchmarks 2026
A transparent framework for interpreting CPL, lead-to-SQL rate and pipeline efficiency without fake universal averages.
Channel, geography, offer and qualification rules change the number. Compare median performance and percentile bands before setting a target.
Use ranges, not one average
Channel, geography, offer and qualification rules change the number. Compare median performance and percentile bands before setting a target.
The benchmark hierarchy
Cost per SQL and cost per opportunity are more decision-useful than CPL. Pipeline-to-spend ratio matters more than platform ROAS for long-cycle B2B.
Methodology
This framework separates third-party reference data from anonymised account observations. It does not invent a blended industry average where sample quality is insufficient.