Usage & attitude study
Fame vs. Quality: What Drives Sales?
The report concludes that authenticity beats fame. Smaller creators who demonstrate a product without a script are said to out-convert scripted celebrity reviews. However, its data sections returned no responses, 999 respondents were excluded at a 0.0% attention pass rate, and the one tested scenario had fewer than 30 answers. Treat the findings as hypotheses.
Explore the findingsAttention-check pass rate across 3 embedded checks
Failed the attention-check parameters
Mobile app panel, sequential monadic design
Based on 300 completed responses. Usage & attitude study.
What we set out to answer, and what we found
Does fame sell, or does demonstration sell?
What stops the scroll?
We asked what is more likely to stop someone from swiping past in their feed.
How do people react to a scripted celebrity review?
We tested a scenario featuring a famous Bollywood star or cricketer doing a simple, scripted product review.
Which content style feels genuine?
For everyday brands like boAt, Myntra or Nykaa, we asked which style of short-video content feels the most genuine.
What happens after someone enjoys an ad?
We asked respondents to rank their likelihood of taking specific social engagement actions after enjoying a brand's short-video ad.
Move influencer budget to smaller creators. The report says scripted celebrity content (a famous Bollywood star or cricketer doing a simple, scripted review) comes across as low on authenticity, while smaller creators drive higher purchase intent with clear, unscripted demonstrations. The scenario had fewer than 30 answers, so this is directional only.
Realistic formats stop the swipe. The report says highly polished, over-produced ads get ignored. For everyday retail brands such as boAt, Myntra or Nykaa, it says consumers favour user-generated-style content over stylised corporate productions.
Post-view behaviour is hard to track. No ranking responses were recorded for post-view engagement actions. The report reads this as a wider problem, since sharing triggers and post-view actions are hard to track.
Gen Z and Millennials need separate playbooks. The report says the two cohorts differ on which platforms they trust, how long they like their videos and what makes them share.
No reported distribution backs any of this. Every substantive data section returned no response data. The raw pool showed a 0.0% attention pass rate across 999 exclusions, and the appendix separately cites a clean sample of 300.
Methodology
01. The survey is a short 17-question mobile app panel study, kept brief to limit fatigue among fast-moving, mobile-first audiences.
02. A sequential monadic design showed participants randomised creator and content scenarios to remove order bias. Gender, age and city were tracked so cohorts could be compared.
03. The report calls this an initial setup phase with 0 actual respondents. Routing, quality controls and the 17-question battery are ready for panel deployment.
Data Quality and Sample Integrity
Attention Verification in the Stated Clean Sample
Base: 300 stated clean responses. Question: select "Highly Agree"
View the data behind this chart
| Answer | Value |
|---|---|
| Highly Agree (passed) | 300 |
| Other options (failed) | 0 |
01. The cleaning protocol excluded 999 respondents, a 0.0% pass rate across 3 embedded attention-check questions.
02. All 999 excluded participants failed the attention-check parameters. The report's critical quality alert blames automated speeders or bots and recommends re-fielding with enhanced pre-routing controls.
03. The closing appendix contradicts this. It reports a clean sample of 300 completed responses, with all 300 passing the "Highly Agree" verification question and 0 failing.
Scripted Celebrity Reviews Risk the Authenticity Brands Need
01. The tested scenario was "A famous Bollywood star or cricketer doing a simple, scripted product review", aimed at Gen Z and Millennials.
02. Fewer than 30 participants answered this option in this wave, so the report flags the reading as directional only.
03. The report argues that scripted reviews by Bollywood stars or top-tier cricketers may bring high reach but low engagement. On that view, micro-influencers who demonstrate the product clearly are a more cost-effective route to sales.
04. Gen Z and Millennials are said to prefer unscripted, organic content and to tune out polished, scripted celebrity campaigns as "banner noise".
What Could Not Be Measured
01. Several questions returned no response data: scroll-stopping hooks, the forced choice between creator attachment and creative execution, and the authenticity benchmark for everyday brands (boAt, Myntra, Nykaa).
02. Downstream engagement ranking found no ranking responses, so no post-view action hierarchy could be built. The creator tier comparison (mega-influencer authenticity vs smaller-creator purchase likelihood) and the product category co-occurrence analysis also returned no data.
03. The appendix baseline tables are all marked insufficient data, pending fieldwork completion (N=0). They cover short-form video consumption, creator-influenced purchases in the past 6 months, categories researched or purchased, swipe-away triggers and sharing triggers.
Key Strategic Themes
01. Authenticity gap. Celebrity endorsements are described as inefficient for bottom-of-funnel conversion. Mega-influencers command attention, but scripted reviews are said to suffer low authenticity, and respondents are said to prefer smaller creators who demonstrate the product clearly.
02. Realism stops the thumb. Over-produced content is said to look like "advertising" and gets swiped away at once, while styles that feel genuine and unscripted make users stop.
03. Social commerce tracking gap. The absence of recorded responses for post-view engagement actions is read as evidence that sharing triggers and post-view behaviours are hard to track and measure.
Credibility Over Follower Count
01. The report concludes that authenticity and utility drive purchase intent most. It says polished but over-scripted content from mega-influencers has a steep authenticity deficit for everyday brands like boAt, Myntra or Nykaa.
02. It says informative, good-quality content from lesser-known creators can make up for a lower follower count.
03. It recommends fitting short-video formats to how Gen Z and Millennials each behave in social commerce, so the content feels native and does not interrupt.
What we would recommend
Practical priorities drawn from this study for further validation.
Re-field before acting on the findings
The report itself recommends re-fielding with enhanced pre-routing controls after a 0.0% pass rate across 999 respondents. Get a clean, populated sample before shifting spend.
Shift budget from celebrity licensing to micro-creators
Move the premium fees paid to top-tier celebrities into a network of micro- and nano-creators who give detailed, unscripted product showcases. Choose creators for product utility, not follower count.
Standardise a lo-fi aesthetic
Brief creative agencies to use realistic settings, raw transitions and unscripted delivery. Show product benefits and real-world usage within the first three seconds of the video.
Test with micro-influencers, then scale winners
Test with smaller creators who focus on demonstrations, then put larger media budgets behind the best-performing creative concepts.
Close the tracking blindspot
Use dedicated promo codes, custom landing pages and post-purchase attribution surveys to catch the sharing and conversion paths that standard platform analytics miss. Build separate Gen Z and Millennial playbooks.
