What sample size do we need?

It depends on the population and the claims you want to make. We set a target from the analysis plan, not from a round number that looks impressive on a cover. Smaller, well-described samples beat large opaque ones.

Can you use our customer list as the sample?

Sometimes, with clear labelling. Customer-only samples answer questions about your base. They do not automatically describe the market. We will not market a customer pulse as an industry census.

Do you run the fieldwork yourselves?

We design the study and manage the process end to end. Fieldwork may use panels, your lists, or partners depending on the audience. Tools and vendors are chosen for fit, not for a fixed stack.

Will you guarantee press coverage?

No. We build citation-friendly assets and a distribution plan. Coverage depends on newsworthiness, timing, and outreach execution. Guaranteeing headlines is how research programmes get dishonest.

How is this different from a gated ebook?

An ebook packages existing advice. Original research produces new observations with a method appendix. Gate if you must for lead capture, but the credibility comes from the method and the findings, not from the form fill.

Can research support SEO and thought leadership at once?

Yes. The report becomes a source asset for executive bylines, cluster articles, and enablement snippets. Atomization works when the primary study is real. It fails when there is nothing proprietary to break down.

Original research and data reports

Original Research and B2B Data Reports Built to Be Cited

B2B original research reports are proprietary studies (surveys, benchmark datasets, or structured analyses) produced with disclosed methodology so journalists, analysts, buyers, and answer engines can cite distinctive findings rather than remixing another generic explainer.

In 2026, aggregated explainers are cheap for everyone, including models that summarise the open web. Primary research still earns links, press, and generative citations when the method is clean and the numbers are not theatre. That is the bar for original research in a serious programme.

We design studies around a question the category actually argues about, not around a chart that looks good in a launch email. Sample design, respondent sourcing, question wording, and disclosure sit at the centre of the work. A beautiful PDF with leading questions and an opaque sample is a liability for E-E-A-T, not an asset.

This service is methodology-led. Production of the narrative report, chart package, and distribution plan follows only after the instrument and sample plan are sound. If you need a B2B content marketing agency partner for research rather than a design shop that invents benchmarks, start here.

Who this is for

Category leaders or challengers who need a proprietary dataset to support thought leadership and digital PR, not another opinion essay.
Companies whose informational pages are getting summarised into AI answers and need distinctive numbers models cannot invent from public SERPs.
Marketing and product teams preparing a major narrative push (category report, annual benchmark, role-based state of the industry) with executive sponsorship.
Teams willing to disclose sample limits honestly instead of dressing a convenience poll as census truth.

Who this is not for

Requests to invent statistics or fabricate survey results for a launch deadline.
Studies that must guarantee viral press coverage or a fixed number of backlinks.
Projects with no budget or time for respondent sourcing, incentives, or fieldwork.
Reports that leadership wants written before the questions and sample frame exist.

Research methodology and delivery

Research question and hypothesis filter

We define the decision the report should help a buyer or journalist make. Vanity questions that only flatter the sponsor get cut. If the question can be answered from public data already, we say so and redirect scope.

Sample design and respondent sourcing

We specify population, sample frame, target mix by role or company size where relevant, and sourcing channels (panel, customer base, partner lists, or mixed). We document known biases. Convenience samples are labelled as such. We do not present them as representative when they are not.

Survey instrument and bias review

Questions are written to avoid leading language, double-barrelled items, and forced conclusions. We pilot where time allows. Sensitive commercial claims get a separate evidence path so the survey is not asked to prove what it cannot.

Fieldwork, cleaning, and analysis

We monitor completion quality, drop incomplete or contradictory responses per agreed rules, and analyse with methods matched to the question. Findings that are weak stay weak in the narrative. We will not inflate margins of error into certainty.

Report, charts, and citation package

Deliverables include the narrative report, chart set, methodology appendix, and a citation-friendly summary journalists and analysts can reuse. Distribution planning covers owned channels, executive posts, and outreach where PR support exists.

Research deliverables

Research brief: question, audience, success definition, and out-of-scope list
Sample plan with sourcing approach and bias notes
Survey instrument (or data collection protocol for non-survey studies)
Cleaned dataset summary and analysis notes suitable for internal review
Published report narrative, chart package, and methodology appendix
Distribution and citation kit: key stats, suggested headlines, and social or newsletter cuts

Research timelines

Question, sample plan, and instrument: often 2 to 4 weeks depending on stakeholder review
Fieldwork: commonly 2 to 6 weeks depending on audience rarity and incentives
Analysis and report production: typically 2 to 4 weeks after fieldwork closes
Citation and press effects compound over subsequent quarters; publish day is the start of distribution, not the end of value

How we measure research impact

Method quality gates passed before launch (disclosure, sample notes, instrument review)
Earned citations and links when they occur; we report what we can verify
Owned distribution completion and engagement on priority channels
Sales and success reuse of key charts in deals and renewals
Observable generative citations or paraphrases of distinctive findings, noted without inventing a score