- A manual review found clear doubt about stated nutrition claims in 66.7% of claim-related opinions.
- Negative opinions about protein quality were less common, at 31.4% of that separate opinion set.
- Buyer scepticism measures confidence in a claim; it does not establish whether a label is accurate.
Clear doubt about a stated protein or nutrition claim appears in 66.7% of claim-related opinions in Relvo’s March–September 2026 research (n=48), after manual review. In a separate set of protein-quality opinions, 31.4% are negative (n=35). Buyers can question what a pack promises while holding a different view of the protein itself.
How to read the numbers: Percentages describe recorded decisions or opinions, with the base shown alongside. Separate opinion sets are not independent samples. Small bases are indicative; bases below 10 are not presented as percentages.

The distinction matters for high-protein packaged foods. Explaining a protein ingredient may leave the buyer’s original question unanswered: how much protein does this serving provide, and what supports that number? A nutritional claim needs to be understandable at the quantity someone will actually eat.
The India high-protein foods market research initially coded 81.3% of claim-related opinions as negative. Manual review separated clear doubt from dismissals and label mentions that did not clearly express doubt. This article uses the more conservative 66.7% finding.
For brands, the practical response is to make the claim easy to examine. Serving size, protein per serving and the basis of any comparative statement should agree across the pack and product page. Where testing supports a claim, a buyer should be able to find the relevant information without guessing which product or batch it describes. Those are proposed responses to the evidence, rather than tested conversion improvements.
There is also counter-evidence: the research includes favourable opinions about claims and protein quality. The finding concerns a selected set of claim-related opinions, not every person who encountered a high-protein product. Understanding this consumer behavior helps distinguish a communication problem from a product allegation. The research did not independently test these products and cannot determine label accuracy.
Questions about the research
Does this show that high-protein food labels are wrong? No. The finding measures stated doubt. Laboratory testing, product specifications and the relevant regulatory requirements would be needed to assess a particular label.
Is this based on sales data? No. It is based on self-reported buyer experiences and opinions. It is not purchase data and not a representative survey.
Related research: The India High-Protein Foods Market Report, 2026 on NBW Brain examines the wider findings, category comparisons and evidence behind them.
Methodology
Source: Relvo research covering 28 March–28 September 2026, using buyer accounts and opinions coded to a fixed codebook, with geography checks and a coding-reliability review. Each percentage refers to the decision or opinion set stated beside it. Bases of 10–29 are indicative; bases below 10 are reported directionally. The evidence favours supplement-literate, English-writing buyers and supports analysis of reported behaviour, rather than population estimates. Separate opinion and action layers can come from the same underlying accounts.
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