Find influencers who have collaborated withSkims
Recent influencer collabs with Skims
These 45 influencers have posted at least 1 piece of content that is sponsored by Skims. Data powered by Modash. Start a free trial to get a timeline view of influencers' brand collaborations.
(Or check out our Brand Collaborations API to get data for your own products and processes.)
(Or check out our Brand Collaborations API to get data for your own products and processes.)
03/25/2026
1. Courtney Caldwell
sweating… @youngla ‘CCC’ inquires: courtneycaldwell@dulcedo.com
Fake followers
20.23%
Average likes
20k
Engagement rate
6.79%
Average comments
104
Audience location by country
United States
81.58%
Canada
4.09%
United Kingdom
2.78%
Australia
1.59%
France
0.71%
Audience location by city
New York City
5.89%
Los Angeles
4.21%
Philadelphia
2.55%
Chicago
1.98%
Houston
1.68%
Audience gender
male
24.72%
female
75.28%
2. Riley Simpson
United States
LA @teaforthoughtpod @younglaforher Athlete DC:RIRI 💌 rileys@a-listme.com
Fake followers
35.74%
Average likes
763
Engagement rate
0.5%
Average comments
24
Audience location by country
United States
79.83%
United Kingdom
2.25%
Canada
1.55%
Brazil
1.42%
Mexico
1.03%
Audience location by city
Los Angeles
5.02%
New York City
4.27%
Chicago
2.07%
Atlanta
1.81%
Houston
1.53%
Audience gender
female
35.14%
male
64.86%
3. Scarlett Magaña-Singh
United States
📍Chicago 📧 ohmyletto@gmail.com managed by @therealdba ↓ youtube & links ↓
Fake followers
23.72%
Average likes
1.5k
Engagement rate
1.29%
Average comments
45
Audience location by country
United States
66.94%
Brazil
3.73%
France
2.32%
Mexico
2.27%
United Kingdom
2.2%
Audience location by city
New York City
7.94%
Chicago
5.85%
Los Angeles
3.28%
Atlanta
2.66%
Houston
1.97%
Audience gender
male
10.71%
female
89.29%
Check influencers' sponsored content
Use the brand collaborations timeline to see who an influencer has worked with, what they posted, and how it performed. Plus see Paid vs. Organic metrics to see how well their sponsored content performs on average.
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