Label sceptics read the protein number on a pack as a claim to be tested, and they warn others when it fails. They are a small segment of Indian high-protein packaged food consumers, so the findings here are directional. They are one of six segments in our overview of high-protein packaged food consumers in India.
Who are Label sceptics?
They talk about claim credibility about 5.6 times as often as other consumers and are put off by it about 3.7 times as often. Across the whole category, about four in five remarks about whether a protein claim is credible are critical, which makes this segment’s doubt a sharper version of a common view.
What do Label sceptics say?
- “Only the marketing is making noise, no product to back up the claims”
- “Most of the tall claims made by these bread companies are false and part of clever marketing.”
Both remarks are about proof. One consumer also compared the protein per 100 g on a pack with an earlier version, which shows how closely this segment checks.
What could brands test to win Label sceptics?
These are ideas to put in front of the segment, not conclusions.
- Third-party lab results for the protein number, linked from the pack.
- A stable protein figure per 100 g, with any change in a recipe explained.
- Claims that match the label, with no rounding up.
Test these claims on the Label sceptics segment at app.nextbigwhat.com. For a related segment in protein supplements, see Proof seekers.
Frequently asked questions
What is a Label sceptic?
A consumer who doubts the protein number on a pack and looks for proof before believing it.
Do Indian consumers trust protein claims on food packs?
Often not. About four in five remarks about claim credibility are critical.
How can a brand answer Label sceptics?
Worth testing: lab results linked from the pack, a stable protein figure and claims that match the label.
NextBigWhat builds a living model of your customer behavior, organized into meaningful consumer segments and grounded in market intelligence and customer evidence. Test your assumptions. Explore product decisions. Validate messaging. Know which ad drives better conversion – before wasting money.