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Sample reportBrands are anonymised and every figure is illustrative. A live report carries real, sourced figures with the same labels.

Sun care in India: a category moving from “which is best” to “which can I trust”.

A category read built on news, social, video and forum data over 90 days. Creator-led lab tests, a proposed labelling standard and a loud price debate are reshaping what buyers trust, and which brands they believe.

Mentions, 90 days498KNews, social, video and forumsMeasured
Net sentiment−6.2Negative since the lab-test videoMeasured
Leader's share of voice34%Brand A, down 5 pointsMeasured
Conversation driven by SPF claims41%From a coded sample of 1,200 postsAssessed
Creator-led share of volume29%Up from 18% last quarterMeasured
Private-group conversationn/aNot visible in licensed dataData gap
Converging pressure. Lab-test videos, a labelling consultation and creator-disclosure scrutiny are all live at once. The leader carries the most exposure, and the brand that proves its claims first will own the trust frame.

01 Overview

Market structure and the shape of the conversation

QuestionWhat is driving the sun care conversation in India this quarter, and what has changed?

The category conversation has shifted from which sunscreen is best to which one can be trusted. Three forces moved at once: creator-commissioned lab tests that compare labelled SPF against measured results, a proposed labelling standard that would make test methods public, and a persistent price debate driven by pharmacy own-labels. Volume more than doubled in weeks 6 and 7 after one lab-test video, and has settled about 40% above where it started. The leader holds share of voice but has lost the most on tone; the D2C gel brand has the cleanest sentiment and the most creator-built reach.

Sources: news, social, video, forums and review sites; 90-day window; illustrative

Weekly mentions

Thousands of mentions per week. Measured

0K20K40K60K80KWeek 1: 24K mentionsW1Week 2: 26K mentionsWeek 3: 25K mentionsW3Week 4: 29K mentionsWeek 5: 31K mentionsW5Week 6: 58K mentionsWeek 7: 72K mentionsW7Week 8: 49K mentionsWeek 9: 41K mentionsW9Week 10: 38K mentionsWeek 11: 36K mentionsW11Week 12: 34K mentionsWeek 13: 35K mentionsW13Lab-test video

Share of voice

90-day window. Measured

Brand A34%
Brand B26%
Brand C18%
Brand D12%
Others10%

02 Brands

Who owns which part of the conversation

A

Brand A

Market leader, mass pharmacy and retail
34%share of voice

Positive 31%, neutral 44%, negative 25% Measured

Narrative. “The default choice, now under the lab-test spotlight.”

B

Brand B

Dermatology-led challenger
26%share of voice

Positive 38%, neutral 45%, negative 17% Measured

Narrative. “The brand dermatologists name first.”

C

Brand C

D2C entrant, gel textures
18%share of voice

Positive 46%, neutral 40%, negative 14% Measured

Narrative. “The one that finally works in humid cities.”

D

Brand D

Legacy FMCG line extension
12%share of voice

Positive 22%, neutral 51%, negative 27% Measured

Narrative. “Cheap, available, and quietly losing trust.”

Head-to-head scorecard

Net sentiment is positive share minus negative share. Measured except the read column Assessed

DimensionBrand ABrand BBrand CBrand DRead
PositioningMass, pharmacy and retailDermatology-ledD2C, gel texturesLegacy line extensionFragmenting
Share of voice34%26%18%12%A leads, C rising
Positive share31%38%46%22%C cleanest
Net sentiment+6+21+32−5D exposed
Creator share of coverage22%27%48%11%C creator-built
Exposure to SPF-claim testingHighMediumMediumHighA and D most exposed
Top narrativeLab-test doubtDoctor trustTexture in humidityPrice, not trustTrust is the axis

03 Consumer voice

What buyers worry about, ask for and complain about

QuestionWhat are the dominant consumer concerns in the category, and which are growing?

Trust in the label is the biggest and fastest-growing concern. Lab-test content has taught buyers to question the SPF number itself. The second cluster is practical: white cast on darker skin tones is the most common reason for switching. The third is price, framed as paying for the brand rather than the protection. The positive counter-current is texture: gel formats that work in humid cities draw unprompted praise.

Sources: coded sample of 1,200 posts and reviews; illustrative

Critical, accelerating

Does SPF 50 actually mean 50?

Creator-commissioned lab tests are the fastest-growing content format in the category. Results that fall short of the label travel furthest.

High, sustained

White cast on darker skin tones

The most common complaint in reviews and comments, and the most common reason given for switching brands.

High

Price per ml against pharmacy brands

Side-by-side price comparisons with pharmacy own-labels circulate weekly, framed as paying for the brand, not the protection.

Rising

Paid reviews presented as honest tests

Audiences increasingly ask creators to disclose whether a test was sponsored.

Positive, growing

Gel textures that work in humid cities

The strongest positive cluster. Posts from coastal and humid cities praise lightweight formats without prompting.

Voices, in their words

Composites of several posts, not single quotes. Assessed

“Tested four SPF 50s at a lab. Two came back far below the label.”
YouTube creator video, composite of several posts
“First sunscreen that doesn't leave a cast on me. I'm buying three.”
Instagram comments, composite
“The pharmacy one is half the price with the same SPF. What am I paying for?”
Reddit and X, composite

Where the conversation happens

Share of measured volume. Measured

YouTube31%
Instagram24%
X14%
News12%
E-commerce reviews10%
Reddit9%

04 Policy

Rules that change what brands can claim

Consultation open

A proposed SPF labelling standard

Would require the tested SPF value and the test method on every pack, with independent verification for claims above SPF 30.

Guidance issued

Advertising guidance on “dermatologist tested” claims

Claims must name the type of testing done. Undefined endorsements are treated as misleading.

Draft

Marketplace rules for cosmetic claims

Online listings would need to carry the same claim evidence as the physical pack.

Policy exposure by brand

Assessed

PolicyBrand ABrand BBrand CBrand D
SPF labelling standardHighMediumLowHigh
“Dermatologist tested” guidanceMediumHighLowMedium
Marketplace claim rulesMediumLowHighMedium

05 Risks and opportunities

What is likely in the next 90 days

Likelihood is written in the estimative language intelligence analysts use, with a range, not a false-precision single number.

Risks

Likely60 to 70%

Another lab-test video names a leading brand

Test content is the category's fastest-growing format. The next viral result will most likely name a brand with high share of voice.

CriticalWeeks 1 to 4Assessed
Roughly even45 to 55%

The labelling standard is notified with a six-month compliance window

A short window would force relabelling and retesting across every range at once.

HighRegulatoryAssessed
Roughly even40 to 50%

Creator disclosure enforcement hits paid reviews

Brands that rely on paid creator reviews would lose their main reach channel for a season.

HighCreatorsAssessed

Opportunities

Likely55 to 65%

The first brand to publish independent test reports owns “trust”

No brand has published full lab reports. The trust frame is open and the audience is asking for it.

OpportunityAct nowAssessed
Roughly even40 to 50%

Gel formats win the humid Tier-2 cities

The positive texture cluster is strongest outside the metros, where competitors are least present.

OpportunityWeeks 4 to 12Assessed

07 Actions

What we would do next

Urgent, weeks 1 to 4

Publish independent test results before someone else tests you

Commission third-party SPF tests across the range and publish the full reports. A brand that shows its results first turns the lab-test trend from a threat into proof.

Urgent, weeks 1 to 2

Prepare a response line for lab-test content

Agree who responds, how fast, and with what evidence, before the next test video appears. Silence reads as confirmation.

Amplify, weeks 2 to 12

Lead the texture story in humid cities

Put humid-climate texture proof in front of Tier-2 audiences, where competitors are thin and the positive conversation already exists.

Monitor, ongoing

Track the labelling consultation weekly

File comments with your test data and plan relabelling now, in case the compliance window is short.

Recommendations are a starting point for your team's judgement. A person reviews every one before it reaches a client.

08 Gaps and method

What this data cannot see, and how the report was built

  • Data gap
    Private messaging and closed groupsFamily and friends' recommendations happen here and cannot be measured in licensed data.
  • Data gap
    Instagram StoriesShort-lived content is not captured, so creator reach is understated.
  • Data gap
    In-store purchase behaviourWhat people say online is not what they buy at the pharmacy counter.
  • Data gap
    Sales and market shareWe do not estimate sales. Any market-size figure in a live report comes from a named published source.

Method

Window
90 days, weekly buckets
Sources
News, social platforms, video, forums and review sites, from licensed data providers
Queries
Category terms, brand names and product lines, each checked for false matches before counting
Coding
Concern and narrative clusters from an analyst-coded sample, with the sample size stated
Labels
Measured counted from data. Assessed analyst reading with confidence. Data gap not visible, never estimated.

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