The knowledge layer

B2B Go-to-Market Research and Benchmark Reports

Directional GTM benchmarks for 2026, drawn from Artemis GTM client engagements and published industry research to illustrate revenue leaks, speed-to-lead impact, and de-anonymization ROI. Figures are illustrative and directional, not a guarantee. Full studies ship at their existing URLs as this index ports.

Benchmark studies

2026 GTM Benchmark Study

A directional 2026 GTM benchmark drawing on go-to-market engagements with B2B SaaS companies (typically $1M to $50M ARR) alongside published industry research. It illustrates common revenue-leakage patterns across lead generation, sales process efficiency, and tech stack integration. Figures are illustrative and directional, not a guarantee.

Read the full study

Speed-to-Lead Benchmark 2026

A directional analysis of B2B lead response patterns highlighting a persistent gap in sales velocity: typical response times run many hours rather than the sub-5-minute window widely regarded as best practice. Drawn from client engagements alongside published lead-response benchmarks. Figures are directional, not a guarantee.

Read the full study

Website De-anonymization ROI Study 2026

A directional ROI briefing on website visitor de-anonymization, illustrating the pipeline impact of identifying previously anonymous traffic. Company-level identification rates vary widely by tool and traffic mix. Figures are illustrative and directional, not a guarantee; individual results vary by traffic, ICP fit, and execution.

Read the full study

Want the raw numbers? Download the benchmark data and methodology details from the 2026 benchmark study PDF, or read the full research methodology below.

Data briefs

42-Hour Gap: How Slow Lead Response Costs B2B Companies $1.6M/YearOne-page brief, with its data source and methodology.98% Invisible: The Anonymous Visitor Revenue Leak in B2BOne-page brief, with its data source and methodology.67% of B2B Sales Teams Now Use AI, But Only 23% See Pipeline ImpactOne-page brief, with its data source and methodology.The 23% Handoff Problem: Where MQL-to-SQL BreaksOne-page brief, with its data source and methodology.3.2x Pipeline Lift: What Happens When Companies Actually Fix Their GTMOne-page brief, with its data source and methodology.Top Quartile vs. Median: The 5-Minute Lead Response DivideOne-page brief, with its data source and methodology.

About these figures: all numbers on these pages are illustrative and directional, drawn from a mix of Artemis GTM client engagements and published industry benchmarks. They are not the output of a controlled study, the sample is self-selected and partly self-reported, and figures are not a guarantee; individual results vary. Full methodology detail is documented on this page.