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LeadsBlue Research — Buyer Catalogue

LeadsBlue Datasets
LeadsBlue Datasets
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The buyer-side companion to the open B2B Cold Email Benchmark Dataset 2026. 100 pages of segment-specific buyer guidance — country, industry, and executive-role — each grounded in real benchmark performance data published openly on Zenodo and Hugging Face.

LeadsBlue Research — Buyer Catalogue

Live site: https://leadsblue-datasets.github.io/research/

What this is: The buyer-side companion to the open B2B Cold Email Benchmark Dataset 2026. 100 pages of segment-specific buyer guidance — country, industry, and executive-role — each grounded in real benchmark performance data published openly on Zenodo and Hugging Face.

Who it's for: B2B founders, marketers, and sales operators evaluating whether to buy a verified business email list, and which segment to start with.

Who publishes it: LeadsBlue Analytics LTD, with the underlying benchmark dataset authored by Luther Johnson (ORCID 0009-0008-9836-1280).

Why this exists

Most "B2B email list" content online falls into two camps: vendor marketing that promises everything, or generic SEO articles that promise nothing specific. Neither helps a buyer make a decision.

This catalogue documents what actually varies across segments — open rates, reply rates, compliance regimes, decision-maker hierarchies, send-time windows — with the underlying data published openly and citable.

Each page combines:

  • Real performance benchmarks (open rate, reply rate, bounce target) from the published dataset
  • Real regulator URLs for the segment's compliance regime (FTC, ICO, BfDI, CNIL, MeitY, etc.)
  • Real cultural context sourced from country-specific business analysis
  • The LeadsBlue product listing for that segment

The benchmark data is open under CC BY 4.0. The contact-database products are sold by LeadsBlue under their commercial terms — this catalogue is the buyer-facing index of those products with documented performance expectations.

Data sources & citation

The benchmark data behind every page comes from:

SourceURLWhat it contains
Zenodo (canonical)DOI 10.5281/zenodo.20136256Full dataset, version-pinned, CC BY 4.0
Hugging Facedatasets/emailmarketingdataset/B2B-Cold-Email-Benchmark-Dataset-2026Same data, ML-tooling-friendly format
Live agent APIapi.b2bdataindex.comQueryable via /v1/predict and /v1/check-compliance
Open Q&A surfaceb2bdataindex.com250 Q&A pages with benchmark deep-dives

How to cite

Johnson, L. (2026). B2B Cold Email Benchmark Report 2026. Zenodo. https://doi.org/10.5281/zenodo.20136256

BibTeX

@dataset{johnson_2026_b2b_benchmark,
  author       = {Johnson, Luther},
  title        = {B2B Cold Email Benchmark Report 2026},
  year         = 2026,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.20136256},
  url          = {https://doi.org/10.5281/zenodo.20136256},
  license      = {CC-BY-4.0}
}

What's in this repo

index.html                Root hub
buy/                      Buyer catalogue (95 pages)
  [country]/              74 country buyer pages
  industry/[ind]/         14 industry buyer pages
  role/[role]/            7 executive-role pages
  index.html              Catalogue browse hub
guides/                   Buyer guides
  how-to-buy-b2b-email-list/
  cold-email-compliance/
  index.html              Guides hub
sitemap.xml               100 URLs
robots.txt                Indexable; LLM crawlers explicitly allowed
llms.txt                  Citation source + API discovery for LLMs
.nojekyll                 Skip Jekyll on GitHub Pages
assets/og-*.svg           Open Graph images

Every page includes JSON-LD for Organization, BreadcrumbList, Article (with Zenodo citation), Product, Dataset, FAQPage, ClaimReview (for each benchmark claim), and WebPage Speakable specification.

The source generator

The HTML in this repo is generated from JSON data files using a Node.js script. The generator is open and reproducible — see leadsblue-buyer-source for the full toolchain.

node generate.js     # Builds all 100 pages to ./public/
node test-output.js  # 42 validation assertions

Same data + same generator = same output, every time. Updates to the benchmark data flow through a single regeneration step.

Authorship & contact

Principal researcher: Luther Johnson
ORCID: 0009-0008-9836-1280
Affiliation: LeadsBlue Research
Email: research@leadsblue.com

Publisher: LeadsBlue Analytics LTD
Commercial: https://leadsblue.com
Crunchbase: https://www.crunchbase.com/organization/leadsblue-com-buy-email-lists-targeted-b2b-b2c-sales-leads
LinkedIn: https://www.linkedin.com/company/leadsblue/

License

  • Page content & dataset: CC BY 4.0 — free to use, redistribute, and adapt with attribution
  • Generator source code: MIT (see leadsblue-buyer-source)
  • Contact databases sold by LeadsBlue: sold under LeadsBlue's commercial terms — separate from this open documentation