A statistics page is useful only when the reader can separate a measured result from an estimate, an internal observation, and a general industry statement. The figures here are compiled by AuthoritySpecialist from three source types: observed ranges from roofing campaigns it has managed, publicly available industry research (figures from Google, BrightLocal, Moz, trade associations, and digital marketing studies), and stated benchmarks from roofing industry publications. Each type answers a different question, so note which one a figure comes from before you cite it.
Start with provenance. Keep the attribution level honest when you reuse a figure: call it a campaign observation, an industry benchmark, or third-party research. If you are reading this guide more than 12 months after publication, check figures against current sources before citing them, and record the study edition, sample, and field period wherever they are available.
Define the metric before comparing it. Organic traffic can mean sessions, users, clicks, or landing-page visits. An organic lead can mean a call, a form submission, a booked inspection, or a qualified estimate request depending on the tracking setup. Local visibility can mean an appearance in local results, a position observed from a specific search location, or profile interactions. Those measures are related but not interchangeable. A contractor should document the definition used in its own reporting before comparing a local figure with one of these benchmarks.
Check the period and sample. A claim drawn from established campaigns running for at least 12 months answers a different question from a launch-period benchmark. Likewise, a cross-market sample should not be assumed to represent a single metro, rural service area, storm corridor, or material specialty. Benchmarks also vary by market size, regional competition, starting domain authority, service mix, and seasonal factors: a contractor in a mid-size Sun Belt metro will see different numbers than one in a competitive coastal market or a rural Midwest territory.
Account for market conditions. Search demand, competition, weather events, brand awareness, service mix, website history, tracking quality, and local-market density can all change the relationship between visibility and lead volume. These are interpretation variables, not excuses to ignore measurement. The practical response is to benchmark your own baseline first, then use outside ranges as a reasonableness check.
Separate observation from causality. A campaign may show rankings improving after site work, profile updates, content changes, or link acquisition. That sequence does not prove that one isolated action caused the movement. Use controlled comparisons where possible, annotate major changes, and avoid turning an observed correlation into a ranking guarantee.
This is the 2026 edition of the roofing SEO statistics guide, updated annually. Use it as a decision aid for what to measure, what to compare, and which assumptions to test against your own market data before they shape a budget or a forecast.