annleslie__ – Brand Deals & Collab Portfolio
annleslie__ has 71 tracked paid partnerships with brands including CVS Pharmacy, DoorDash, Miniso, CVS, and Wayfair. Primary niche: Home & DIY, average engagement 27.63%.
Tracked partnerships, engagement and brand history, updated automatically. Share this link in your next pitch.
Instagram, TikTok & YouTube UGC & Paid Partnerships (Live Feed)
Creator | Brand | Platform | Niche | Caption | Eng. Rate | Views | Likes | Posted | Video |
|---|---|---|---|---|---|---|---|---|---|
Home & DIY / Christmas Decor | 4.2K | 770 | Sep 12, 2026 | ||||||
Beauty / Skincare Device | 5.4K | 1.3K | Sep 8, 2026 | ||||||
Beauty / Skincare | 4.5K | 1.2K | Sep 3, 2026 | ||||||
Health / Sleep Products | 8.5K | 1.2K | Aug 27, 2026 | ||||||
Food & Beverage / Meal Prep | 5.6K | 1.1K | Aug 16, 2026 | ||||||
Food & Beverage / Food Delivery | 4.4K | 1K | Aug 14, 2026 | ||||||
Beauty / Beauty Products | 966 | 452 | Aug 14, 2026 | ||||||
Beauty / Nail Care | 6K | 1.3K | Aug 10, 2026 | ||||||
Food & Beverage / Healthy Snacks | 1.4K | 553 | Aug 8, 2026 | ||||||
Food & Beverage / Food Delivery | 5.5K | 1.1K | Aug 7, 2026 |
Niche Benchmark
Benchmarks based on publicly detected sponsored posts.
Based on 71 tracked partnerships.
Brands annleslie__ Has Worked With
More Home & DIY creators
Recent Partnerships
- HERNEST·Instagram·Home & DIY·Sep 2026
- Spa Sciences·Instagram·Beauty·Sep 2026
- CVS·Instagram·Beauty·Sep 2026
- The Cushion Lab·Instagram·Health·Aug 2026
- Meez Meals·Instagram·Food & Beverage·Aug 2026
FAQ
Does annleslie__ work with brands?
Yes. CollabFeed has tracked 71 paid partnership posts for annleslie__.
What niche is annleslie__ strongest in?
annleslie__ is currently most associated with Home & DIY campaigns based on tracked collaborations.
Which platform drives most of annleslie__'s sponsored activity?
Instagram currently has the larger share of tracked collaborations for this creator profile.
Note: This data is generated from public sources and may contain inaccuracies. We're continuously improving data quality.