# Brand sentiment analysis: 40 brands measured on social media

Brand sentiment analysis reads what people post about a brand and counts how much of it is positive, negative, mixed or neutral. Buzzsift does it on recent TikTok, Reddit, YouTube, Instagram and X posts and comments: an AI model marks each one, code counts the shares, and every point links to its posts. Below, 40 brands measured this way (16,232 posts and comments in all): Bumble draws the most negative talk (61%), On Running the least (4%). $9.99 to run it on any brand.

| Brand | Read about it | Positive | Negative | Mixed | Platforms | Run |
|---|---|---|---|---|---|---|
| [Bumble](https://sociallisteningai.com/samples/brand-bumble/) | 749 | 9% | 61% | 8% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Hinge](https://sociallisteningai.com/samples/brand-hinge/) | 831 | 12% | 52% | 8% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Alani Nu](https://sociallisteningai.com/samples/brand-alani-nu/) | 723 | 30% | 41% | 10% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [HexClad](https://sociallisteningai.com/samples/brand-hexclad/) | 513 | 20% | 41% | 12% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Roomba](https://sociallisteningai.com/samples/brand-roomba/) | 411 | 33% | 33% | 8% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Caraway](https://sociallisteningai.com/samples/brand-caraway/) | 145 | 33% | 31% | 5% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [LMNT](https://sociallisteningai.com/samples/brand-lmnt/) | 376 | 28% | 30% | 11% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Skims](https://sociallisteningai.com/samples/brand-skims/) | 417 | 46% | 29% | 10% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Duolingo](https://sociallisteningai.com/samples/brand-duolingo/) | 431 | 10% | 27% | 10% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Alo Yoga](https://sociallisteningai.com/samples/brand-alo-yoga/) | 238 | 33% | 25% | 11% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Olipop](https://sociallisteningai.com/samples/brand-olipop/) | 497 | 38% | 25% | 10% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Dyson](https://sociallisteningai.com/samples/brand-dyson/) | 851 | 32% | 24% | 14% | TikTok, Reddit, YouTube, Instagram, X | 2026-11-14 |
| [Lululemon](https://sociallisteningai.com/samples/brand-lululemon/) | 446 | 45% | 23% | 7% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Yeti](https://sociallisteningai.com/samples/brand-yeti/) | 472 | 24% | 22% | 12% | TikTok, Reddit, YouTube, Instagram, X | 2026-11-14 |
| [Liquid IV](https://sociallisteningai.com/samples/brand-liquid-iv/) | 277 | 49% | 21% | 9% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Poppi](https://sociallisteningai.com/samples/brand-poppi/) | 378 | 33% | 21% | 7% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Celsius](https://sociallisteningai.com/samples/brand-celsius/) | 328 | 33% | 20% | 16% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Shark](https://sociallisteningai.com/samples/brand-shark/) | 201 | 35% | 19% | 4% | TikTok, Reddit, YouTube, Instagram, X | 2026-11-14 |
| [Roborock](https://sociallisteningai.com/samples/brand-roborock/) | 624 | 27% | 17% | 9% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Fitbit](https://sociallisteningai.com/samples/brand-fitbit/) | 418 | 38% | 17% | 11% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Spanx](https://sociallisteningai.com/samples/brand-spanx/) | 179 | 35% | 16% | 6% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [CeraVe](https://sociallisteningai.com/samples/brand-cerave/) | 421 | 38% | 15% | 6% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Stanley](https://sociallisteningai.com/samples/brand-stanley/) | 397 | 42% | 14% | 16% | TikTok, Reddit, YouTube, Instagram, X | 2026-11-14 |
| [Owala](https://sociallisteningai.com/samples/competitor-owala/) | 606 | 43% | 14% | 11% | TikTok, Reddit, YouTube, Instagram, X | 2026-11-14 |
| [Whoop](https://sociallisteningai.com/samples/brand-whoop/) | 387 | 27% | 13% | 7% | TikTok, Reddit, YouTube, Instagram, X | 2026-11-14 |
| [Oura Ring](https://sociallisteningai.com/samples/brand-oura-ring/) | 567 | 36% | 13% | 11% | TikTok, Reddit, YouTube, Instagram, X | 2026-11-14 |
| [Notion](https://sociallisteningai.com/samples/brand-notion/) | 531 | 42% | 11% | 16% | TikTok, Reddit, YouTube, Instagram, X | 2026-11-14 |
| [Headspace](https://sociallisteningai.com/samples/brand-headspace/) | 109 | 26% | 11% | 44% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Obsidian](https://sociallisteningai.com/samples/brand-obsidian/) | 620 | 50% | 11% | 12% | TikTok, Reddit, YouTube, Instagram, X | 2026-11-14 |
| [Theragun](https://sociallisteningai.com/samples/brand-theragun/) | 137 | 31% | 11% | 7% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Garmin](https://sociallisteningai.com/samples/brand-garmin/) | 448 | 43% | 10% | 14% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Hoka](https://sociallisteningai.com/samples/brand-hoka/) | 555 | 46% | 10% | 10% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Cetaphil](https://sociallisteningai.com/samples/brand-cetaphil/) | 245 | 60% | 10% | 8% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Hydro Flask](https://sociallisteningai.com/samples/brand-hydro-flask/) | 610 | 48% | 8% | 11% | TikTok, Reddit, YouTube, Instagram, X | 2026-11-14 |
| [Babbel](https://sociallisteningai.com/samples/brand-babbel/) | 115 | 31% | 8% | 15% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Away](https://sociallisteningai.com/samples/brand-away/) | 397 | 52% | 7% | 11% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Monos](https://sociallisteningai.com/samples/brand-monos/) | 133 | 44% | 7% | 10% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Hypervolt](https://sociallisteningai.com/samples/brand-hypervolt/) | 105 | 39% | 7% | 4% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [Calm](https://sociallisteningai.com/samples/brand-calm/) | 168 | 74% | 7% | 11% | TikTok, Reddit, YouTube, X | 2026-11-14 |
| [On Running](https://sociallisteningai.com/samples/brand-on-running/) | 176 | 19% | 4% | 8% | TikTok, Reddit, YouTube, X | 2026-11-14 |

## Questions

**What is brand sentiment analysis?** Reading what people say about a brand (posts, comments, reviews) and sorting it by how they feel, so you can see the share of praise and complaints and what each is about. Social media sentiment analysis does this on social posts instead of surveys or star ratings.
**How is the sentiment measured here?** An AI model reads each post and comment about the brand in batches of 120 and marks it positive, negative, mixed or neutral, or drops it as off-topic. The percentages are counted by code from those marks; the model never guesses a share. Details on the methodology page.
**Why is one brand so negative?** Often because of what people post about, not the product alone: dating apps draw complaints about dating itself, and a viral problem (a recall, a price rise, a lawsuit) can dominate a month. Each report lists the points behind the numbers, with links.
**Can I compare my brand with a competitor?** Yes: run a report on each (or add up to 2 competitors when you order one) and they show side by side, platform by platform.
**How fresh are these numbers?** Each row shows the day its report was run. TikTok covers the last 90 days; YouTube, Instagram and X the past year; Reddit favors recent, popular threads.