Statistics are useful only when you know what kind of evidence they represent. Before using any benchmark here to approve content, technical work, local search activity, or authority building, identify whether it is published third-party research, a previously reported observation, or a directional planning range.
This page separates those evidence types because they support different decisions. Third-party research can provide market context when the underlying source is available. Internal or historical observations can suggest questions to investigate, but they should not be treated as independently verified market facts when a supporting source URL is absent.
- Published research: use it to understand how search behavior or tool-measured patterns were described by the publisher, and check edition, period, sample, and metric definition before applying it to your agency.
- Observed agency patterns: use them as diagnostic prompts. They can help you decide what to inspect in your own Search Console, analytics, CRM, backlink profile, and site architecture.
- Planning ranges: use them to create hypotheses and review checkpoints, not as promised outcomes or minimum requirements.
The source material does not provide supporting URLs for the named external studies, so this rewrite does not present those attributions as independently verified here. Any unsupported third-party claim should be reconciled against its original publication before it is used in a client deliverable or forecast.
Context changes the meaning of a benchmark. A web design agency with a genuine local office, a national niche position, or a broad multi-service offer can face very different query sets and conversion paths. Even a 20-person agency may not be comparable with another firm of similar size if their markets, services, brand demand, and site history differ.
Use this page as an evidence-reading guide: define the decision, identify the metric, confirm the evidence type, note the limitation, and then compare the benchmark with your own first-party data before acting.