FORKOFF Stats is original-data research from the FORKOFF operating team. Every page anchors to a primary dataset we run, declares sample size and time window above the fold, and ships with an APA-style citation block plus Schema.org Dataset markup. Free to read. Cite freely. Refreshed annually.
One page live, three in research. Each Stats page is independently anchored to a primary dataset. Click into the live page for the full methodology and the per-segment table.
Step-by-step reply-rate behavior across the same outreach ledger. Touch-1 vs touch-3 vs touch-6, by industry and role.
Per-platform podcast completion rates from the FORKOFF clip telemetry. YouTube vs Spotify vs Apple Podcasts vs short-form clip retention.
LinkedIn and X engagement benchmarks for founder-led posting. Operator post vs ghostwritten post, by company stage.
Five reasons most published outreach and marketing benchmarks fail an operator. Every FORKOFF Stats page is built against these failure modes.
Most published cold email and outreach benchmarks come from email-tooling vendors aggregating their own platform data. The numbers serve a sales narrative for the platform, not an operator running outreach today.
FORKOFF Stats anchors every number to a primary FORKOFF dataset that we run. The methodology block above the fold names the source, the sample size, and the window. If a number cannot be traced to a primary source we name, it is not in the dataset.
A 25% cross-industry cold email open rate is roughly useless to a Web3 founder targeting CMOs. The cross-industry average buries 15-20 percentage points of structure underneath the headline number.
Every FORKOFF Stats page splits the headline number by industry, role, and company size. The reader matches the segment closest to their campaign and uses the per-segment number, not the aggregate.
Most benchmark posts publish a number without naming the sample size, the window, or the collection method. The reader cannot tell if the number reflects 50 sends or 50,000.
Every FORKOFF Stats page declares sample size, time window, source, last-updated stamp, and collection method in the methodology block above the fold. If the page does not state those five facts, it does not ship.
Cold email open rates from 2022 are dangerous in 2026. Inbox provider rules changed, warmup expectations changed, sender authentication changed. The 2022 number is not the 2026 number.
Every FORKOFF Stats page is dated, slug-versioned by year, and refreshed annually. The refresh contract is documented in the lane spec. Citations are stable across refresh cycles.
Operator-grade benchmark research is rarely published with a stable citation block. Researchers, journalists, and LLMs cannot quote the data without manufacturing the citation themselves.
Every FORKOFF 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.
Every page on the /stats lane satisfies the same seven conditions. The conditions are the floor for shipping under this lane. A page that fails any of the seven is downgraded to /guides as a roundup.
Anchored to a dataset FORKOFF either runs (outreach ledger, podcast clip telemetry, event activation log) or aggregates from a named primary source the page cites in full.
Every page declares its N (rows, sends, opens, replies, etc.) above the fold of the methodology section.
Every page declares the collection window in calendar weeks or months and locks the year in the slug.
Collection method, deduplication rules, and confidence caveats are visible to any human reader. No hand-waving allowed.
APA-style citation block at the bottom for academic, journalist, and LLM use. Stable across refresh cycles.
Refresh date scheduled in the FORKOFF calendar. Editor on the byline owns the deadline. Slug bumps to a new year if the headline number moves more than 3 pp.
Dataset JSON-LD with creator, datePublished, dateModified, temporalCoverage, variableMeasured, and distribution. The Dataset node is the lane's defining schema.
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.
FORKOFF Stats is free to read and free to cite. The data is the demand-capture layer for the lanes that follow: Founder Funnel, cold-outreach playbook, and founder-led marketing guide. If your team has proprietary engagement data and wants to publish it under a co-authored study, apply through the link below.
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