A field guide in eight questions for marketers, buyers, and anyone who has been handed a shiny new report with a suspiciously happy headline.

Every week another “State of Something” report lands in your inbox. Glossy cover. A hero stat (“87% of CFOs agree!”). And a logo in the corner belonging to the company that happens to sell the fix. Some of these reports are genuinely useful. Others are sales brochures wearing a lab coat. Here is how to tell them apart, and how to commission one that holds up when a skeptic starts poking.

Part 1: Should You Trust Sponsored Research at All?

1. Is vendor-sponsored research automatically worthless?

• No, and the best evidence comes from medicine, where the stakes (and the lawyers) run highest. A 2017 Cochrane review by Lundh and colleagues pooled 75 papers covering 4,583 studies of drugs and devices [1].
• Industry-funded studies were more likely to report favorable efficacy results (risk ratio 1.27) and far more likely to reach favorable conclusions (RR 1.34).
• Here’s the twist marketers should love. On standard methods the paid studies held up about as well, and they reported proper blinding more often. The lean showed up in the write-up: conclusions matched the actual results less often in industry studies (RR 0.83). So read the tables first and the conclusion last.

2. Why should a B2B marketer care about drug trials?

• Because buyers now read your research with the same squint, and they reward the good stuff. The 2024 Edelman-LinkedIn B2B Thought Leadership Impact Report surveyed nearly 3,500 managers in seven countries [2]. 73% said thought leadership is a more trustworthy basis for judging a company than its marketing materials. 86% would likely invite a steady producer of high-quality work into an RFP. 60% said it makes them willing to pay a premium.
• The catch: an earlier edition of the same study found only 15% of decision-makers rated the thought leadership they read as excellent [3]. Demand is high. The bar is low. That’s an opening.
• And yes, enjoy the irony. That report was paid for by a PR firm and a platform that sells distribution for thought leadership. It still passes most of the tests below: sponsor named, sample stated, question wording in the footnotes.

Part 2: The Four Tells

3. Tell #1: What can an undisclosed sample hide?

• Pretty much everything. “We surveyed 1,000 IT leaders” could mean a careful probability sample, or 1,000 people on a paid click-panel who ticked the “IT leader” box to collect a $2 reward.
• Pew Research Center tested this with a trick question in February 2022. It asked opt-in respondents whether they were licensed to operate a class SSGN nuclear submarine. 12% of adults under 30 said yes. Among Hispanic respondents it was 24%. The true share rounds to 0% [4][5]. (The Navy runs four SSGN boats.)
• Same problem, scarier headline: an opt-in poll suggested 1 in 5 young Americans called the Holocaust a myth. Pew’s probability-based panel put it at 3% [4]. Pew’s August 2026 follow-up found no easy fix; matching respondents to voter files made quality worse, with suspect answering among young adults climbing to 15% [6].
• Ask: Who answered? How were they recruited? Were they paid? Was there an attention check? What’s the n behind the headline subgroup?

4. Tell #2: How far can one loaded word move a number?

• Further than you’d guess. Since the 1980s the General Social Survey has run a split-ballot test. Half the sample hears “welfare.” The other half hears “assistance to the poor.” Same programs [7].
• In the 2010 GSS, roughly two in five said the U.S. spends too much on “welfare,” versus about one in ten for “assistance to the poor,” where two-thirds wanted more spending [8]. Analysts of the full series put the label effect at 30 to 50 percentage points [9].
• Tversky and Kahneman found the same with framing in 1981: described as lives saved, 72% picked the safe option; described as lives lost, 78% took the gamble [10].
• In vendor surveys, watch for a preamble that primes the pain (“Given soaring breach costs…”), agree/disagree items written in one direction only, answer lists with no “none of these,” and the sponsor’s product category baked into the question. Ask: Can I see the full questionnaire, in order?

5. Tell #3: What’s a missing denominator, and why is it so sneaky?

• It’s a percentage with the “out of what?” chopped off. In 2007 the UK Advertising Standards Authority ruled Colgate’s “More than 80% of dentists recommend Colgate” poster misleading. The survey let dentists name several brands, and a rival was recommended almost as often [11]. The 80% was real. The implied 20% who preferred something else was the trick.
• Relative risk is the heavyweight champion. In October 1995 UK regulators warned that newer birth control pills doubled clot risk. “Up 100%” sounded terrifying. In absolute terms it went from about 1 in 7,000 women to 2 in 7,000. An estimated 13,000 additional abortions followed in England and Wales the next year, costing the NHS roughly £46 million [12][13].
• The B2B version: “Customers saw 312% ROI.” Which customers? Forrester’s Total Economic Impact studies say it plainly. Many are built from interviews with four or five customers, blended into one “composite organization,” and Forrester “makes no assumptions as to the potential ROI that other organizations will receive” [14][15]. The disclaimer is honest. Trouble starts when the headline travels and the disclaimer stays home.

6. Tell #4: How do I spot a conclusion the data can’t carry?

• Bes-Rastrollo et al. (PLOS Medicine, 2013) examined 17 systematic reviews on sugary drinks and weight gain. Without industry ties, 83.3% (10 of 12) found a likely risk. With food-industry ties, 83.3% (5 of 6) called the evidence insufficient. Ties made a “no link” verdict five times more likely (RR 5.0) [16].
• The origin story is darker. In 1965 the Sugar Research Foundation paid Harvard scientists $6,500 (about $49,000 in 2016 dollars) for a New England Journal of Medicine review. The group set the objective, supplied studies, and read drafts. None of it was disclosed [17].
• Marketing’s usual overreach: correlation sold as causation (“AI adopters grew 2x faster”), stated intentions sold as behavior, and 60 respondents quoted as “enterprises.”

Table 1. The Tells: A Cheat Sheet

Tell	What it looks like	Ask this	Famous case
Undisclosed sample	“We surveyed 1,000 leaders” and nothing more	Who, recruited how, paid, n per subgroup?	Pew: 12% “licensed” sub operators
Leading question	Primed preamble; one-way statements	Show me the questionnaire, in order	GSS “welfare” vs. “assistance to the poor”
Missing denominator	“80%,” “3x,” “up 100%” with no base	Out of how many? Absolute or relative?	Colgate 2007; UK pill scare 1995
Unsupported conclusion	Headline claims the tables don’t show	Do results and conclusions match?	Sugary drink reviews, RR 5.0
Hidden sponsor role	Funder “supported” it; role unstated	Who designed, analyzed, approved it?	Sugar Research Foundation, 1965

Part 3: How to Pay for a Study That Survives the Same Scrutiny

7. How do I sponsor research that a skeptic can’t dismantle?

• Pick a question you can’t answer yet. If the conclusion exists before fieldwork, buyers will smell it.
• Hire an outside firm and give it publishing rights, including for unflattering results. Put that in the contract and say so in the report.
• Adopt the AAPOR Transparency Initiative list [18]: name the sponsor and who ran the study, publish exact question wording, define the population, explain recruitment, and give field dates, sample sizes by subgroup, and weighting.
• Plant a trap question. Pew’s submarine item is a gift. One impossible question lets you remove bogus respondents and report how many you tossed.
• Print the n and the base under every chart, and pair every relative number with an absolute one.
• Publish one finding that doesn’t flatter you. It’s the cheapest credibility you’ll ever buy. Then release the crosstabs.

Table 2. Weak Study vs. One That Survives

Element	The weak version	The version that survives
Sample	“1,000 respondents”	“1,012 U.S. IT directors from [named panel], June 3 to 17, 2026; 94 removed by attention checks”
Questions	Hand-picked quotes	Full questionnaire in the appendix, in the order asked
Numbers	“3x more likely”	“18% vs. 6% (n=412 vs. 390)”
Sponsor role	“Supported by”	“Sponsor reviewed the questionnaire; the firm held final say on analysis and publication”
Bad news	Quietly omitted	A section titled “What surprised us”
Data	Gated PDF	Downloadable crosstabs

8. What’s the 60-second test when a report hits my desk?

1. Find the methodology box. No box, no trust.
2. Find the n behind the headline number.
3. Read one question word for word.
4. Ask “out of how many?” for every big percentage.
5. Compare the headline to the chart it came from, then check who paid and what they sell.

Sponsored research earns its keep when it’s built to be checked. Show your work, including the parts that make the sales team wince a little.

Sources

1. Lundh et al., Cochrane 2017. https://www.cochrane.org/evidence/MR000033_industry-sponsorship-and-research-outcome

2. Edelman-LinkedIn 2024 report. https://www.edelman.com/expertise/Business-Marketing/2024-b2b-thought-leadership-report

3. Edelman-LinkedIn earlier edition. https://www.scribd.com/document/896949005/power-of-thought-leadership-on-linkedIn-94418

4. Pew, opt-in polls, 2024. https://www.pewresearch.org/short-reads/2024/03/05/online-opt-in-polls-can-produce-misleading-results-especially-for-young-people-and-hispanic-adults/

5. Jewish Standard, 2024. https://jewishstandard.timesofisrael.com/submarines-demolish-scary-polls/

6. Pew, bogus respondents, 2026. https://www.pewresearch.org/methods/2026/08/27/no-easy-fix-for-bogus-respondents-in-online-opt-in-polls/

7. NORC GSS spending trends. https://gss.norc.org/content/dam/gss/get-documentation/pdf/reports/social-change-reports/SC63%20GSS_Trends%20in%20Spending_1973-2018.pdf

8. Shanker Institute, 2011. https://www.shankerinstitute.org/blog/why-do-most-americans-support-assistance-poor-oppose-welfare

9. GSS welfare-label analysis, arXiv. https://arxiv.org/pdf/1710.02954

10. Tversky & Kahneman, Science 1981. https://www.science.org/doi/10.1126/science.7455683

11. Osborne Clarke on Colgate ASA ruling. https://marketinglaw.osborneclarke.com/retailing/colgates-80-of-dentists-recommend-claim-under-fire/

12. Gigerenzer et al., BMJ 2009. https://pmc.ncbi.nlm.nih.gov/articles/PMC2733256/

13. Furedi, Hum Reprod Update 1999. https://pubmed.ncbi.nlm.nih.gov/10652971/

14. Forrester TEI of Quid. https://tei.forrester.com/go/quid/quidTEI/?lang=en-us

15. Forrester TEI of Dynamics 365 CI. https://tei.forrester.com/go/microsoft/365-customer-insights/?lang=en-us

16. Bes-Rastrollo et al., PLOS Med 2013. https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001578

17. UCSF on Kearns, Schmidt, Glantz 2016. https://www.ucsf.edu/news/2016/09/404081/sugar-papers-reveal-industry-role-shifting-national-heart-disease-focus

18. AAPOR Transparency Initiative. https://aapor.org/standards-and-ethics/transparency-initiative/