Quick answer
Across 5,610 Indian makeup collabs from the past three months, median engagement rate ((likes + comments) ÷ views) is 1.53%. Comment activity varies sharply by tier: nano creators post the highest median engagement rate of any tier (1.9%), macro creators the lowest (1.32%), and individual collab posts in this sample show comment rates ranging from roughly 0.01% to 0.43% of views depending on creator size and campaign mechanic. There is no single "normal" comment count — it only means something read against the creator's tier.
Working out the average comment count on a beauty collab is one of the more useful checks a brand can run before finalising a creator list. Views and likes usually get the attention, but comments reveal something they don't: whether someone stopped scrolling long enough to ask about a shade, flag the price, or request a tutorial.
A reel with huge reach and almost no comments is often passive viewing; a shorter, lower-view post with a dozen genuine product questions is doing real commercial work. The difficulty is that there is no flat "normal" count: a creator with a small, tight audience and one with millions of followers sit on entirely different scales, so comparing their raw comment numbers side by side is misleading. This piece uses recent Indian beauty collaboration data to show what comment activity looks like by creator size and collab format, so a number in a report can be read in context rather than taken at face value.
What the Data Covers
Methodology
Engagement rate = (likes + comments) ÷ views, calculated per collab post and reported as a median (not an average, so one viral post doesn't skew the figure), across makeup collabs from 2026-08-05 to 2026-11-03. Tiers are set by the creator's follower count: nano, micro, macro, mega.
Source: MyWall Genie · 5,610 collabs · 2026-08-05 to 2026-11-03
This window covers 5,610 collabs from 2,962 creators across 214 brands, which is enough volume to treat the tier patterns below as a benchmark rather than a guess. The dataset tracks engagement rate directly; comment behaviour is read from individual collab posts within it, so every figure below traces back to a real post, not an estimate.
Average Comment Count on a Beauty Collab by Tier
Engagement rate already blends likes and comments, but the tier breakdown shows where comments are likely to carry more weight in that blend.
Median engagement rate by follower tier in beauty collabs
| Tier | Collabs | Median ER (%) | Avg views | Median views |
|---|---|---|---|---|
| nano | 1,524 | 1.9% | 25,734 | 3,151 |
| micro | 2,147 | 1.46% | 35,520 | 7,857 |
| macro | 1,516 | 1.32% | 102,630 | 26,813 |
| mega | 423 | 1.59% | 545,500 | 72,276 |
Source: MyWall Genie · 5,610 collabs · 2026-08-05 to 2026-11-03
Nano and micro creators
Nano creators post the highest median engagement rate in this sample (1.9%) despite the lowest average views (25,734). Comments here often read like a conversation, with direct questions about price, availability or shade matching because the audience is small enough to feel like a community. For a deeper look at why this tier punches above its size, see this breakdown of why engagement rate matters more than followers in beauty.
Macro and mega creators
Macro creators post the lowest median engagement rate in this sample (1.32%), even with far higher average views (102,630 versus 25,734 for nano). Mega creators recover slightly to 1.59% median engagement rate, largely on the strength of massive view counts rather than proportionally higher comment activity. A mega creator's raw comment count can look impressive next to a nano creator's, but as a share of views it usually runs smaller. Nano engagement rate is about 44% higher than macro's in this sample.
Why Comments Vary by Collab Type
Collab structure moves comment behaviour too, not just creator size.
Median engagement rate by collab type in beauty
Affiliate posts carry the highest median engagement rate in this sample (1.6%), followed by collaborative posts (1.58%) and tagged posts (1.47%). Affiliate and collaborative formats usually come with a clear call to action: a discount code, a link, a "comment SHADE for details" prompt — which tends to pull more comments than a simple tagged mention. If a campaign's goal is comment-driven conversation rather than passive reach, briefing toward collaborative or affiliate formats over plain tagged posts is worth testing. The full engagement picture across tiers and months is covered in this beauty influencer engagement rate benchmark report.
Real Collab Examples: Comments Against Views
Looking at actual posts from this sample makes the tier pattern concrete:
Featured collaboration posts
Among these, a nano-tier post ran at roughly 0.26% comments-to-views, and a micro-tier post ran even higher at about 0.43%, both well above what the mega and macro posts in the same set managed, which sat closer to 0.03% and 0.01% respectively despite far larger raw view counts. This mirrors the tier-level pattern above: smaller creators post fewer total comments but a noticeably higher comment rate relative to their views.
What Pushes Comment Counts Up in Beauty Collabs
Direct prompts in the caption or video
Posts that explicitly ask a question, "which shade should I try next," "comment YES if you want a tutorial," consistently pull more replies than posts that simply show the product. This is cheap to brief and easy to verify after publishing.
Shade, skin-tone or compatibility questions
Makeup collabs attract comments asking whether a shade suits a specific skin tone, which foundation to pick, or how a product performs on a particular skin type. This is organic product research happening in public, useful first-party feedback a brand would otherwise need a survey to collect.
Giveaways and contests
Comment-to-enter mechanics inflate comment counts sharply, as the nano and micro examples above suggest. This is a legitimate way to lift visible engagement, but it should be read separately from organic interest when judging a creator's baseline audience.
Price pushback or comparisons
Price complaints or comparisons with a competing product also generate comments. Not all engagement is positive, and a spike in comments is worth reading in full, not just counting.
How Brands Should Use This When Planning Campaigns
- Set comment benchmarks by tier, not as one flat number. Expecting a mega creator to match a nano creator's comment rate per view sets a campaign up to look like it underperformed when it hasn't.
- Read comments, don't just count them. A high comment count driven by a giveaway says little about product interest; a lower count full of shade and price questions says a lot more.
- Brief for a comment prompt when the goal is conversation. Collaborative and affiliate formats in this data post higher median engagement rates than plain tagged posts, likely because they carry a clearer ask.
- Weight repeat creators carefully. Macro creators show the highest repeat rate in this sample (23.9%), which can mean reliable delivery, but check that engagement hasn't been propped up only by an existing loyal following rather than fresh interest.
Before finalising thresholds for a brief, it helps to map these tier numbers against minimum view and engagement cut-offs. This guide on setting minimum view and engagement thresholds for beauty collabs walks through that process. For shortlisting creators who already clear these bars, see this list of high-engagement beauty creators and this guide on finding the right beauty influencers for your brand.
Conclusion
A beauty collab's comment count only means something once it is read against the creator's tier and views, not treated as a flat number. Nano and micro creators tend to post the highest comment rate relative to views in this sample, while macro and mega creators generate volume but a lower comment share and collab type shifts the number further, with affiliate and collaborative formats outperforming plain tagged posts. Treat a strong comment count as a prompt to read what people are actually saying shade questions, price pushback, tutorial requests since that feedback is often more useful than the raw number itself. For brands building a creator shortlist against benchmarks like these, working with an established influencer marketing agency in India can help turn this kind of tier and comment data into a brief that's realistic for the budget and goal at hand.
Frequently Asked Questions
What is a good comment count for a beauty collab?
There is no single good number; it depends on the creator's tier and views. In this sample, nano and micro creators post comment rates roughly between 0.26% and 0.43% of views on individual posts, while macro and mega posts in the same set ran closer to 0.01%–0.03%, so a "good" count should be judged against similarly sized creators, not across tiers.
Do more followers mean more comments on a beauty post?
Not proportionally. Mega creators generate far higher raw views and often more total comments, but their comment rate per view tends to be lower than a nano or micro creator's, since macro-tier posts in this sample post the lowest median engagement rate (1.32%) of any tier.
Why do some beauty collabs get unusually high comment counts?
Giveaway or comment-to-enter mechanics, direct questions in the caption, and shade- or skin-tone-matching queries all push comment counts up sharply, sometimes independent of how well the product itself is performing.
Does collab type affect comment volume?
Yes. Affiliate (1.6% median engagement rate) and collaborative posts (1.58%) post higher median engagement rates than tagged posts (1.47%) in this sample, likely because they carry a clearer call to action that invites a reply.
Should brands use comment count as a KPI for beauty campaigns?
It can be one input, but it works best paired with what the comments actually say and the creator's tier-adjusted baseline, rather than used as a standalone pass/fail metric across creators of different sizes.