Grynow Insights

How to Check a Beauty Creator's Past Brand Collaborations

Posted on 06-11-202610 min read

Quick answer

Check a beauty creator's past brand collaborations by reviewing their tagged posts, "Paid Partnership" labels, #ad hashtags, and bio link history, then cross-check repeat-booking patterns. Across 11,015 makeup collabs analysed over the past six months, the median engagement rate is 1.35%, nano and micro creators carry 63.7% of collabs, and only 22.1% of brand-creator pairs repeat — so collaboration history, not follower count, is the clearer signal of a reliable partner.

Before a beauty brand commits budget to an influencer, it helps to know who that person has already worked with. A creator's past brand collaborations reveal whether they genuinely use the products they promote, how often brands rehire them, and whether their audience responds to sponsored content the way it responds to organic posts. This matters more in beauty than in most categories, because the same creator might post a skincare review on Monday and a competing brand's serum on Thursday, and that pattern alone tells you something about their credibility and their rate card leverage.

For a brand new to influencer marketing, checking collaboration history can feel like guesswork — scrolling a grid, squinting at hashtags, hoping the "ad" disclosure is actually there. It doesn't have to be. There are specific, repeatable places to look, and specific numbers worth comparing before you sign anyone. This guide walks through where that history lives, what the current beauty collaboration data shows, and how to read it like a decision-maker rather than a fan.

Why a Creator's Collaboration History Matters

A single viral reel tells you almost nothing about reliability. A pattern of collaborations who paid for them, how consistently, and how the audience reacted tells you much more.

It separates one-off virality from a working relationship

Brands that rehire a creator are effectively vouching for them with their own budget. In the makeup category, only 22.1% of brand-creator pairs repeat within a six-month window, which means most collaborations are one-off tests. A creator who shows up multiple times for the same brand, or across several respected beauty brands, has already passed someone else's vetting.

It flags category conflicts early

If a creator's visible history includes a direct competitor within the same product line in the last month or two, that's worth a conversation before signing, not after the content is live. Checking history catches this; checking follower count never will.

It shows whether engagement holds up on sponsored content

Organic engagement and sponsored engagement can diverge sharply. A creator who averages strong numbers organically but whose tagged brand posts consistently underperform is a different bet than one whose branded content holds steady.

Where to Check a Beauty Creator's Past Brand Collaborations

Instagram's native paid-partnership label

Any post using Instagram's branded content tool shows a "Paid partnership with [brand]" tag under the username. Scrolling the grid for this label is the fastest first pass, though not every sponsored post uses it correctly.

Hashtags and captions

Indian beauty creators overwhelmingly disclose with #ad, #collaboration, or #sponsored, sometimes alongside a specific campaign hashtag. In the data reviewed here, #ad appears as a top hashtag across multiple mid- and macro-tier beauty creators, often paired with brand-specific tags such as product names or campaign titles, a reliable way to confirm a partnership actually happened rather than being an unpaid mention.

Tagged photos and the "Tagged" tab

Brands often tag the creator's account directly even when the creator doesn't repost to their own grid. This tab surfaces collaborations a creator might not actively promote, which is useful when you want the fuller picture rather than the curated one.

Bio links and link-in-bio tools

Affiliate links, discount codes, and "shop my faves" pages in a creator's bio double as a running log of brand relationships, often more current than their grid.

Asking for a media kit

A direct ask for a media kit or past campaign report remains the most complete source — it typically includes brand names, deliverables, and performance metrics the public profile won't show.

What the Current Beauty Collaboration Data Shows

11,015Collabs analysed
4,932Creators in sample
231Brands active
1.35%Median engagement rate
63.7%Collabs to Nano + Micro
22.1%Repeat rate (brand-creator pairs)

Source: MyWall Genie · 11,015 collabs · 2026-05-10 to 2026-11-06

Methodology

Figures cover 11,015 makeup collaboration posts from 4,932 creators and 231 brands, posted between 10 May 2026 and 6 November 2026. Engagement rate is (likes + comments) ÷ views per post; the figures reported are medians, not averages, and follower tiers are based on the creator's own follower count.

Top 10 beauty brands by collaboration volume (6 months)

mynykaaaflairzajuno_cosmeticsforever52indialoverecodemakeupmystery.inperennecosmeticsv3l_cosmeticsthenaristudioparulgargbeauty
Source: MyWall Genie · 11,015 collabs · 2026-05-10 to 2026-11-06

The brand-level breakdown is worth reading closely before assuming "most active" means "best fit." A brand like mynykaa ran 509 collabs in six months with a 32.7% repeat rate, while thenaristudio ran far fewer (197) but posts from that collaboration carried a notably higher median engagement rate of 3.62%. Volume and engagement quality don't move together — a creator's history with a high-volume brand doesn't guarantee their content performs, and a creator's history with a smaller brand that rehires often may be the stronger reference point.

Beauty brand collaboration patterns (6 months)
BrandCollabsMedian ER (%)Avg viewsRepeat rate (%)
mynykaa5090.4%1,534,70532.7%
aflairza5091.88%14,01335.8%
juno_cosmetics3890.75%9,24950%
forever52india3240.76%214,93729.1%
loverecode3160.7%94,93932.1%
makeupmystery.in3121.72%7,1257.6%
perennecosmetics2570.96%56,15429%
v3l_cosmetics2321.44%19,75847.9%
thenaristudio1973.62%29,56652%
parulgargbeauty1730.76%599,36537%

Source: MyWall Genie · 11,015 collabs · 2026-05-10 to 2026-11-06

Reading repeat rate as a trust signal

Pairings with a repeat rate well above the category's 22.1% median, like v3l_cosmetics at 47.9% or thenaristudio at 52.0% suggest relationships that outlasted a single campaign. When you're checking a creator's history and see the same brand name recur across months, treat that as a stronger reference than a single large campaign post.

Reading view counts against engagement rate

Highest-viewed beauty collaboration posts (6 months)

@riyamanoj
433.3K followers
View
elle18_india · 2026-05-21 · 90,467,904 views
@aasthashah97
1.7M followers
View
reachedmars · 2026-07-01 · 75,913,420 views
@divijapandeyy
447.9K followers
View
elle18_india · 2026-05-21 · 61,840,341 views
Source: MyWall Genie · 11,015 collabs · 2026-05-10 to 2026-11-06

The highest-viewed post in this window, an affiliate collaboration with elle18_india, reached 90,467,904 views but an engagement rate of just 0.13%. Another collaborative post, with characterparisindia, reached 48,314,946 views and an engagement rate of 0.0%. When reviewing a creator's past collaborations, a post with far fewer views but a visibly higher engagement rate often reflects a more responsive audience than one with a huge view count and almost no likes or comments.

Creator Profiles: What Collaboration History Looks Like in Practice

These four profiles illustrate different patterns worth recognising when you review a beauty creator's history, from consistent brand-aligned content to visible rate-card academy ties.

01
AISHA MAHDI ✓
@styleetvogue · Mega · Makeup & Skincare
1,000,938Followers
4.22%Engagement
657,144Avg. views

Posts polished skincare and haircare content with consistent #ad disclosure across named campaigns, and her hashtag history shows repeated appearances with specific skincare and haircare brands rather than one-off mentions. A useful example of a macro creator whose collaboration pattern is traceable directly from hashtags.

Best for: Skincare and haircare campaigns needing disclosed, trackable content
View Instagram profile →
02
Sarah Khan ✓
@the_game_of_makeup · Mega · Makeup Artist / Academy
1,733,166Followers
1.5%Engagement
721,655Avg. views

Runs a visible academy and product line alongside creator content, with an active-partnership list that includes her own brand accounts and event organisers. Her history shows how some beauty creators blend personal brand promotion with third-party collaborations, which is worth separating out when assessing fit.

Best for: Makeup artistry and masterclass-style brand tie-ins
View Instagram profile →
03
♡♥Doll♡♥ ✓
@doll.daundkar · Mega · Beauty & Fashion
1,134,730Followers
0.86%Engagement
298,302Avg. views

Her top hashtags include named product collaborations such as a hair-colour brand's shade campaign, showing a clear, checkable link between her content and specific sponsored products rather than vague brand mentions.

Best for: Festive and seasonal product launches
View Instagram profile →
04
srishti garg ✓
@srishtigargg · Macro · Haircare / Beauty
447,259Followers
1.65%Engagement
785,358Avg. views

A smaller-bio, high-view creator whose hashtag history centers on a single haircare campaign theme, illustrating how a thin public bio can still carry a traceable, specific collaboration record once you check the hashtags and tagged posts.

Best for: Haircare campaigns prioritising reach over bio detail
View Instagram profile →

How this list is ranked

These four are ordered by a combination of followers and the traceability of their collaboration history in the public data disclosed hashtags, named campaign tags, and visible repeat patterns. None of the metrics on the cards are estimates; they come from each creator's public profile and post history. Use them as examples of what to look for, not a ranked recommendation list.

Doing this checking at scale

Manually working through hashtags, Tagged tabs, and media kits for four creators is manageable. Doing it for a shortlist of fifty, across brands, campaign dates, and repeat-rate history, is where most teams get stuck. An AI-powered influencer marketing platform in India can surface a creator's collaboration history, repeat-brand patterns, and sponsored-versus-organic engagement in one view, which is the same checking process described above, just run across a full creator shortlist rather than one profile at a time.

A Step-by-Step Checklist Before You Reach Out

  1. Scroll the last 20-30 posts and note every "Paid partnership" label and #ad-style hashtag.
  2. Check the Tagged tab for brand mentions the creator hasn't reposted.
  3. List repeat brands — anything appearing more than once is a stronger signal than a single large post.
  4. Compare engagement rate across sponsored vs organic posts rather than looking at followers alone.
  5. Scan for direct competitors in the last 60-90 days before finalising a brief.
  6. Request a media kit if the public history is incomplete or the creator is newer to paid work.

Key Takeaways

  • Collaboration history is a trust signal that follower count can't replace; check tagged posts, #ad disclosures, and bio links before a creator check-in call.
  • A repeat rate well above the category's 22.1% median suggests a working relationship that survived more than one campaign.
  • View count and engagement rate often move in opposite directions on sponsored posts; read both before judging a creator's reach as "proven."
  • Most brand-creator pairs in the beauty data (77.9%) don't repeat within six months, so a one-off collaboration in a creator's history is the norm, not a red flag by itself.

Brands building this process for the first time, or scaling it across many creators at once, often find it faster to work with an influencer marketing agency in India that already tracks this collaboration data across thousands of beauty creators rather than checking each profile manually. For related reading, see how to find the right beauty influencers for your brand, why many teams are choosing micro influencers for better engagement per rupee, which beauty creators get the most repeat brand collaborations, and a broader look at influencer marketing for beauty brands.

Frequently Asked Questions

How can I tell if a beauty creator's sponsored post is disclosed properly?

Look for Instagram's "Paid partnership with [brand]" label under the username, or a clear #ad/#sponsored hashtag in the first line of the caption. Posts without either disclosure are harder to verify as paid collaborations even if they look promotional.

Does a high follower count mean a creator has more brand collaborations?

Not necessarily. In the makeup data reviewed here, nano and micro creators account for 63.7% of all collaborations, meaning smaller creators are collaborating with brands just as actively as larger ones — often with stronger engagement per post.

What does a "repeat rate" tell a brand about a creator?

Repeat rate measures how often the same brand-creator pair works together again. A repeat rate well above the category median of 22.1% suggests the first campaign performed well enough to justify a second, which is a stronger reference than a single sponsored post.

Should I avoid a creator who has worked with a competing brand?

Not automatically — check the timeline. A collaboration from a year ago is different from one in the last 60-90 days. Recent, direct-competitor work in the same product category is the scenario worth raising before you brief the creator.

Where do I find a creator's full campaign history if their Instagram grid doesn't show much?

Ask for a media kit, check the Tagged tab (not just their own posts), and look at bio links or link-in-bio pages, which often list active affiliate and brand partnerships more completely than the grid itself.

Want creators matched to this data?

Get a shortlist of creators sourced from the same MyWall dataset behind this piece.

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