The Indian High-Protein Foods Market Research report: Texture deserves separate product testing

49% of texture opinions are positive and 41.2% negative in Relvo’s India protein-food research. Texture needs separate attention from taste.

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  • 49% of texture opinions are positive and 41.2% negative across researched protein-food alternatives.
  • Texture is coded separately from taste, so the figures describe a different part of the eating experience.
  • The smaller bread, cookie and snack subset is favourable but indicative; neither set measures repeat buying.

Texture opinions are split across the protein-food alternatives in Relvo’s March–September 2026 research: 49% are positive and 41.2% negative (n=51). Mixed opinions account for the remainder. These figures concern the wider set of researched categories and should not be read as a score for protein snacks alone.

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.

Texture opinions are divided. Positive: 49.0%; Negative: 41.2%; Mixed: 9.8%. Base: texture opinions (n=51). Source: Relvo, March–September 2026.
Share of texture opinions across researched protein-food alternatives. Base: texture opinions (n=51). Source: Relvo research, 28 March–28 September 2026. Not purchase data and not a representative survey.

Texture describes how the food feels when someone eats it. A buyer’s view of flavour does not fully explain that experience. The research codes texture separately from taste, which allows a product team to examine each instead of combining them into one broad satisfaction judgement.

The India high-protein foods market research also contains a smaller texture sample for protein bread, cookies and snacks (n=12). Positive opinions are more common in that subset, but the base is indicative. It cannot establish that these formats generally solve texture problems or that one format performs better than another.

For product testing, this supports asking about texture directly. What did the buyer expect from this type of food? How did the product compare with the version they usually eat? Would the eating experience suit the occasion for which they bought it? These are questions for a follow-up test, rather than conclusions supplied by the chart.

The negative opinions deserve inspection alongside the favourable ones. An overall positive reaction can hide a specific objection, while a complaint about texture can occur without a reported rejection. The evidence needs to show what the person did next before that opinion is treated as a cause of lost demand.

Relvo’s consumer behavior research supplies reported experiences. A product team can use them to define what to test, then examine repeated use through interviews or purchase data. The chart itself does not establish a texture-related conversion effect or a repeat-purchase rate.

Questions about the research

Does the chart show that protein snacks have good texture? No. It covers texture opinions across all researched protein-food alternatives. The bread, cookie and snack subset is smaller, and its favourable direction is treated as indicative.

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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