Return on Clinical Evidence
How to spend $500,000 on ten words
By Kristine Vanijcharoenkarn, MD MBA & Victor Tseng, MD
Clinical Development
Dear Colleagues,
Health claims are usually viewed primarily through the lens of compliance. The marketing team proposes language, the scientific affairs team assembles the support, and the legal team decides whether the claim is defensible. A stronger claim can improve conversion, command a higher price point, open a new channel, or give clinicians a reason to recommend the product.
Clinical evidence can increase that value. But it also costs money, delays commercialization, and can come back null or unfavorable. Over the last several years, we have been formalizing this tradeoff as risk-adjusted claim value. For a proposed claim c and evidence strategy e, we compare expected incremental net present value against the best practical alternative:
E[NPV(c,e)] = ΔVcommercial − E[Lclaim] − Cevidence
Where E denotes expected value, Vcommercial the incremental commercial value of the claim, Lclaim the loss associated with a challenge, and Cevidence the cost of generating the evidence. Most companies are reasonably good at estimating the commercial piece of the equation. They already forecast market depth, serviceability, acquisition cost, and lifetime value. However, risk is usually less defined. A claim becomes “conservative”, “aggressive”, or “high risk” even though those labels combine several events with very different probabilities. We find it more useful to break risk into conditional probabilities:
E[Lclaim] = P(challenge) × P(material loss | challenge) × E[loss severity]
Severity includes legal cost and monetary remedies, but also the commercial value lost if the claim is narrowed, withdrawn, or becomes unusable in an important channel.
The public record is useful for estimating a priori risk and severity. Today:
- Challenges are uncommon. The overall challenge rate is <0.1% of supplement products per year. The FTC averaged about eight cases a year between 1998 and 2022 across supplements, foods, OTC drugs, devices, and diagnostics. Private plaintiffs are more active, and Perkins Coie counted 63 dietary supplement class actions in 2025.
- However, defeat when challenged is common. The National Advertising Division (NAD) completed 128 dispositions in 2024. Sixty resulted in modification or discontinuation, and another 26 combined substantiation with some modification or discontinuation. Compliance is voluntary and is reported at about 95%.
- Immediate monetary loss is secondary to claim loss. Monetary settlements rarely exceed 7 figures. On the other hand, a restricted claim can reduce conversion, pricing power, channel access, and the return on prior brand investment.
The FTC tends to pursue national advertising that shows a pattern of deception and potential consumer injury, and its orders are binding and can restrict a company’s future claims. In contrast, NAD cases are usually initiated by a competitor (101 of 128 dispositions in 2024), and the usual outcome is a recommendation to modify or discontinue the claim, with no monetary sanction. Voluntary compliance can make NAD look like a paper tiger. But NAD increasingly refers companies that ignore its recommendations to state attorneys general as well as the FTC. The risk profile will need to be updated if the tiger grows teeth.
Because challenges appear infrequent, evidence purchased only for legal insurance often has poor returns (a $500,000 RCT typically buys $80,000 of insurance). Returns are much better when the same trial also unlocks a substantially better claim or makes an important claim much harder to dislodge.
Where inputs are available for a given product category, we have begun to model the decision by simulation. We anchor probability distributions around plausible modal values for the upside (market depth, claim lift, LTV, etc) and the downside (trial risk, challenge probability, conditional loss, etc) and run Monte Carlo simulations across combinations of claim specificity and evidence investment. The result is a payoff surface rather than a binary recommendation*.
For a differentiated, IP-backed product, the surface usually supports deeper clinical investment. The return eventually peaks as additional specificity and additional studies cost incrementally more. For a generic or white-label product, the commercial return on additional evidence flattens much earlier. Some substantiation can still improve credibility, conversion, retailer access, and HCP confidence, but an expensive RCT supporting a highly specific generic claim may create knowledge that competitors can readily appropriate.
There are important exceptions that justify clinical investment in a nonproprietary product. They include high brand equity, a large SAM, an unusually strong claim “need state”, a retail or HCP channel that requires product-specific evidence, and formulation-specific data that create some degree of commercial exclusivity.
Centrum Silver is an example of the high brand equity play. It is a commodity multivitamin, but the brand is nationally distributed to a large market of older adults who worry about memory loss. The COSMOS-Mind trial tested the finished product in >2,000 seniors over 3 years, finding significant improvements in global cognition, memory, and executive function versus placebo. Centrum can now advertise the finished product as “clinically shown to support cognitive health,” which store-brand equivalents cannot similarly claim.
That is the basic framework. However, it used a relatively simple scenario with only two product archetypes, and treated evidence as a single axis. Real brands vary in scale and channel, while proposed studies vary in design, cost, and endpoint. Let’s see how those differences can change the payoff profile of alternative evidence strategies across brand and market conditions.
We simulated five evidence options across nine brand and market states. The scenarios range from single-ingredient literature to open-label studies (about $80,000 with patient-reported outcomes, about $200,000 with blood biomarkers) to a finished-product RCT (about $300,000 decentralized with PROMs, about $900,000 on site with biomarkers).
Break-even revenue ≈ Cevidence ÷ [ P(success) × Δ claim lift × contribution margin × years of advantage ]
Three findings emerged.
- Micro brands had little to gain from an RCT. For a $2M generic label, relying on dose-matched ingredient literature was usually the best strategy. NAD applied that standard to Alice Mushrooms in September 2026, accepting a saffron study at the product dose and rejecting two other ingredients at noncomparable doses.
- Open-label or pilot studies outperformed the ingredient literature for small IP-backed brands. These studies support a “clinically studied” claim, which consumers often misremember as “clinically proven” (Murphy et al. 2023). However, regulators are less forgiving of the stronger claim, with the NAD recommending against using “clinically proven” without randomized data (2021 Nano Glutathione and 2022 Culturelle IBS Complete Support decisions).
- RCTs were most valuable when they were needed to unlock a retail or professional channel. The claim must still match the result. Prevagen claimed memory benefits after its trial showed no overall effect, and a court ordered the claims removed in 2024. TruHeight claimed “clinically proven” from a 32-participant randomized trial whose reported difference the FTC judged not meaningful, and accepted a $4M FTC judgment in 2026.
Across these states, the best strategy was the least expensive study that changed the claim. Most brands should start with dose-matched literature and add studies as revenue grows, as a retailer or clinician asks for product data, or as they gain ownership of their evidence.
To see which assumptions matter most, we ran a sensitivity analysis for an intermediate revenue product, ranking each input by its correlation with the RCT’s advantage over the next best option.
Challenge risk had almost no bearing on the RCT decision. The strongest drivers were access to a gated channel (rank correlation 0.63), the prior that the product works (0.29), and the strength of the existing ingredient literature (−0.28), which lowers the value of a new trial. Challenge risk was negligible by comparison (<0.1), consistent with the poor return on evidence bought only as legal insurance.
In most companies, responsibility for evidence strategy is split across departments with different objectives. Marketing is rewarded for claim lift, R&D is focused on rigor, and legal is intent on minimizing downside. Each can make a locally sensible decision that is globally suboptimal. That tension is understandable, and probably healthy. However, a useful discipline is to align the intended claim, endpoint, and channel early.
It is also worth recognizing that clinical evidence is an investment in market access and claim value, but the advantage it creates depreciates as competitors catch up and standards change. The question is not simply whether to generate evidence, but when, how much, and for how long it is likely to retain value. We will take a look at claim utility decay in an upcoming Bulletin. Stay tuned.
The above content is updated as of October 2026, and subject to change. It is intended for strategic planning, and is not financial or legal advice.