What is the /stats lane?
FORKOFF Stats is the lane on forkoff.xyz where every page is anchored to a primary dataset that FORKOFF either operates or aggregates from operator-grade primary sources. The lane is distinct from /guides (long-form operator guides), /playbooks (operator runbooks), /compare (comparative pages), and /alternatives (listicles). Each lane targets a different buyer stage. Stats targets the upstream benchmark queries that feed the buyer-stage queries.
Where does the data come from?
Every Stats page declares its data source in the methodology block above the fold. The first source is the FORKOFF outreach proof, which tracks cold email send and open behavior across the FORKOFF outreach campaigns. Future Stats pages will draw from the FORKOFF clip telemetry, the founder-led content archive, and the event activation log. No Stats page aggregates a third party's published research without naming the source and the sample.
How often are the Stats pages refreshed?
Annually. Every Stats page is slug-versioned by year and refreshed by the same calendar month the data was originally collected. If a refresh changes the headline number by more than 3 percentage points or changes the segment ranking, FORKOFF ships a new slug for the new year and 301 the old slug after a 90-day overlap window. The Gate 35 lifecycle protocol is documented in the lane spec.
Can I cite FORKOFF Stats research?
Yes. Every Stats page ships an APA-style citation block at the bottom and emits Schema.org Dataset JSON-LD with creator, datePublished, dateModified, and temporalCoverage for machine-readable use. Citations are stable across refresh cycles. Quoting under fair use is welcome.
Is FORKOFF Stats free to read?
Yes. Every Stats page is free to read in full. FORKOFF makes money on the founder-funnel engagement at the bottom of each page, not on the research itself. The research is the demand-capture layer for the lane.
Why publish benchmark data instead of keeping it private?
Operator-grade benchmark data is rare. Most published numbers come from vendors with a sales narrative attached. Publishing the FORKOFF outreach proof numbers under a stable citation block builds the kind of citation rate inside ChatGPT, Claude, Gemini, and Perplexity that compounds for years. The data also calibrates expectations for prospects who eventually become founder-funnel applicants.
How many Stats pages are planned?
Five pages are live and ten are in research. Cold Email Open Rates 2026, Creator Engagement Benchmark 2026, Top 50 AI Founders Most Active on X 2026, Listicle SEO Cannibalization 2026, and AI UGC Benchmarks 2026 are live now. Cold Email Reply Rate Benchmarks 2026, Podcast Completion Rate Benchmarks 2026, Founder-Led Content Engagement Benchmarks 2026, AI Overview Citation Share 2026, Sales Discovery Depth Benchmarks 2026, DM Reply Rates by Platform 2026, Reddit Lead-Gen Conversion Benchmarks 2026, KOL CPM by Audience Quality Tier 2026, Industry IVT and Qualified-View Pass Rate 2026, and Event Sponsorship Pipeline ROI Benchmarks 2026 are in research for ship across Q3 2026 through Q2 2027. Every roadmap study targets an industry-wide subject aggregated from public vendor benchmarks and industry-body reports, with FORKOFF first-party data paired as one of N sources, never the sole source. Each page is single-author bylined and refreshed annually.
Why does every Stats page name an industry-wide subject, not FORKOFF-internal data?
The moat is effort applied to industry data, not first-party access to the FORKOFF proof. A benchmark page that says only 'this is what FORKOFF saw' is a self-serving vendor report. A benchmark page that aggregates 5 to 15 public vendor reports, industry-body certifications, and SERP scrapes into one structured table is the kind of citation source that earns links from Forbes, gets quoted inside ChatGPT and Perplexity, and ranks for the head-term benchmark query. FORKOFF data sits paired next to industry, never alone. This is the same posture Backlinko used to build link mass: Backlinko analyzed 11.8 million Google results, not their own client proof.
Can I work with FORKOFF on a benchmark study?
Yes, in a limited number of cases. FORKOFF runs co-authored benchmark studies with ecosystem foundations, Layer 1s, and venture DAOs that have proprietary engagement data they want to publish under a stable citation. The engagement is by application and capped at one study per quarter. Apply through the link at the bottom of any Stats page.
