Brand buzz on Instagram, by the numbers

The 25 highest of 119 scored brands, November 12, 2026. Change is on the score 7 days earlier.

1. 1GardeniaFood and Beverage92↑ 16
2. 2Dude WipesHome89—
3. 3AnkerElectronics83↑ 9
4. 4OatlyFood and Beverage80↑ 10
5. 5OlipopFood and Beverage80↑ 7
6. 6Tim HortonsFood and Beverage80↑ 22
7. 7Bob's Red MillFood and Beverage78↑ 8
8. 8RitualFitness77↓ 3
9. 9Dr. SquatchBeauty75↑ 24
10. 10QuinceFashion75—
11. 11AG1Fitness74↑ 7
12. 12TitleistSporting Goods73↑ 4
13. 13GlossierBeauty71↑ 9
14. 14Quaker OatsFood and Beverage70↓ 10
15. 15GoodwipesHome70↓ 1
16. 16Alani NuFood and Beverage70↓ 3
17. 17HariboFood and Beverage69↓ 10
18. 18PoppiFood and Beverage69↑ 11
19. 19King Arthur BakingFood and Beverage66—
20. 20MilkaFood and Beverage66↓ 19
21. 21Vita CocoFood and Beverage66↓ 17
22. 22TwiningsFood and Beverage64↓ 15
23. 23ID Fresh FoodFood and Beverage63↓ 12
24. 24Paper BoatFood and Beverage63↓ 13
25. 25TherabodyFitness63↑ 7

Followers against posts a day on the brand's own hashtag, both on log scales. Brands with 1,000 followers or more.

Size barely predicts posting rate (r = -0.02, n = 12).

Dividers at the medians. The line is a least-squares fit on the log values: above it, more than expected for the x value; below, less. r = -0.02, n = 12. Posts a day is read from each search on its own, so how often we look at a brand does not move it.

The latest week's posting rate against the brand's previous four weeks (x), and its posting rate (y, log).

Busier brands are cooling while quieter ones heat up (r = -0.41, n = 118).

Dividers at the medians. The line is a least-squares fit on the log values: above it, more than expected for the x value; below, less. r = -0.41, n = 118.

Share of labelled posts that read positive (90 days) against the Hype Score. Brands with 8 or more labelled posts.

How warm the posts are barely relates to how hyped the brand is (r = 0.17, n = 24).

Dividers at the medians. The line is a least-squares fit: above it, more than expected for the x value; below, less. r = 0.17, n = 24. Tone is a tenth of the score, so some of the link is built in.

Different accounts posting a day against posts a day, both log. Far below the line, a few accounts post a lot.

More posts mostly means more people, not the same fans posting more (r = 0.99, n = 118).

Dividers at the medians. The line is a least-squares fit on the log values: above it, more than expected for the x value; below, less. r = 0.99, n = 118.

Instagram mentions found for the monitored brands, by week posted, last 10 full weeks. Click a sector to see it alone.

A count of what our searches found, which also rises when we look more often; read it as a mix, not a total.

Labelled posts about the monitored brands by week posted: positive, neutral, critical.

Mentions found in 30 days by platform. TikTok and Reddit are searched for 22 and 17 of these brands only, so the split says where we look as much as where people post.

Categories with 3 or more monitored brands, by median Hype Score.

Mentions found in 30 days for monitored brands, by the brand's home market.