Brand perception analysis: what TikTok, YouTube and Amazon say about a brand
- Built for
- Consumer brands that sell on Amazon or get talked about on TikTok and YouTube, and the agencies and analysts who work for them.
- You enter
- A brand name. What it sells, its TikTok account, an Amazon product and one or two competitors are optional.
- Price
- Free plan: 100 credits, no card. One analysis uses about 64–115 credits.
- What you get
- A coverage table (every video read, with comments returned and how many were about the brand, and the dates), the praise and complaint points mentioned most, a theme table with each theme's share and its positive and negative counts per source, the tone on TikTok and on YouTube kept apart, Amazon's star rating, rating spread and aspect mentions beside the comment themes, quotes with link, date and likes, a competitor on the same measures, and 3 to 5 next steps.
- Coverage
- Public US TikTok videos from the last 6 months (5 videos, the first page of about 20 comments each), 2 YouTube reviews from this year (one page of top comments each) and the brand's amazon.com listing with the most ratings. Amazon review text is quoted only when Amazon's review lookup returns it. Private accounts, Instagram, Reddit, Stories, LIVE, DMs, surveys and sales data are not included.
- Time to report
- Usually 7–17 minutes.
- Account
- Sign-in with Google required to run it. You can read the example and fill in the form without an account.
How do you analyze brand perception?
Read what people say in public where they decide to buy: comments under the TikTok videos and YouTube reviews that show the product, and the brand's Amazon review summary, then count praise and complaints by theme. In a run on November 9, 2026, 74 of the 127 comments read were about Owala: 54.1% positive and 24.3% negative, the straw and lid drew the most complaints, and on Amazon durability was the only aspect with more negative mentions than positive (55.9%).
Enter a brand. Nolyn reads the public comments under the TikTok videos and YouTube reviews that show its products and Amazon's own summary of its reviews, then sorts what people say into praise, complaints and questions by theme. You get the points mentioned most, each theme's share, the tone on each source kept apart, people's own words with the link and date, and a competitor beside you if you add one. Every report starts by saying exactly how many videos and comments were read and over which dates. It is a quick brand health check from public posts, not a survey, so it shows what people say in public, not what all your customers think.
- Comments about Owala
- 74 of 127
- Tone of those comments
- 54.1% positive, 24.3% negative
- Amazon rating
- 4.6 on 145,252 ratings
- Durability on Amazon
- 55.9% negative
Key findings
- The straw is the complaint that comes back
- Owners defend how cold it keeps water
The report includes
- Coverage first
- Top praise and complaints
- Themes and their share
- Tone by source, kept apart
- Amazon's own review summary
- Quotes and next steps
What you get
Coverage first
Top praise and complaints
Themes and their share
Tone by source, kept apart
Amazon's own review summary
Quotes and next steps
Brand perception analysis example: Owala, with Stanley
A real run on November 9, 2026, on Owala, the water bottle brand, with Stanley as the competitor. Neither is a Nolyn customer. It read the first comment page of 5 US TikTok videos from the last 6 months (87 comments), 2 YouTube reviews (40 comments) and Owala's amazon.com listing with the most ratings. The table shows each theme in the 74 comments that were about Owala, with Amazon's own counts beside it.
Comments about Owala
74 of 127
TikTok 62 of 87, YouTube 12 of 40; the rest were jokes, tags or about other brands
Tone of those comments
54.1% positive, 24.3% negative
40 positive, 18 negative, 15 mixed, 1 question
Amazon rating
4.6 on 145,252 ratings
84% five-star, 5% one-star; Owala FreeSip 24 oz
Durability on Amazon
55.9% negative
2,780 of 4,969 mentions; the only one of eight aspects with more negative than positive
| Theme | TikTok comments | YouTube comments | Share of comments about Owala | Amazon aspect (positive / negative mentions) |
|---|---|---|---|---|
| Lid, straw and spills | 15 (3 positive, 8 negative, 4 mixed) | 2 (1 negative, 1 mixed) | 23.0% | Leak-proof 3,132 / 699; Straw 2,581 / 224 |
| Keeps drinks cold | 17 (10 positive, 7 mixed) | 0 | 23.0% | Temperature retention 5,172 / 410 |
| Cleaning and mold | 11 (2 positive, 9 negative) | 0 | 14.9% | — |
| Brand marketing and gifting | 11 (11 positive) | 0 | 14.9% | — |
| Wanting to buy | 6 (5 positive, 1 question) | 1 (1 positive) | 9.5% | — |
| General love for the bottle | 1 (1 positive) | 5 (5 positive) | 8.1% | — |
| Durability and drops | 1 (1 mixed) | 1 (1 mixed) | 2.7% | Durability 2,189 / 2,780 |
| Ease of use | 0 | 2 (2 positive) | 2.7% | — |
| Size and cupholder fit | 0 | 1 (1 mixed) | 1.4% | Size 11,503 / 855 |
Comments about Owala on the first comment page of 5 US TikTok videos posted May 13 to October 6, 2026 and 2 YouTube reviews posted 9 and 10 months earlier, read November 9, 2026. One review, a 9-mug test, returned 20 comments and none named Owala. Amazon: FreeSip 24 oz listing, aspect mentions as Amazon returned them (positive / negative), never added to comment counts.
The straw is the complaint that comes back
Owners defend how cold it keeps water
Mold comes up as a habit more than a defect
The brand's own marketing earns praise and buying talk
On Amazon, durability is the weak spot
Stanley: few comments about the cup, a clear Amazon contrast
We read all 127 comments ourselves and recounted every figure; the page uses our recount. The run's own report counted 77 comments about Owala where we count 74, and differs on some labels and themes. It gave one commenter's handle as “@pollo” (it is s.pollito) and said some comment dates were not captured where TikTok returned them. Amazon's review lookup failed for amazon.com, so no Amazon review is quoted; the Amazon figures are Amazon's own aspect counts. Three other runs of earlier and later versions of the brief that day showed the guards now in it: read every comment a page returns, skip skits that only tag the brand, take YouTube reviews from this year, never fetch a page twice, and never edit a quote. These are public comments on a few videos, not a survey and not all Owala customers.
How it works
Enter a brand
Type the brand name. Add what it sells if the name also means something else, and a competitor if you want one beside it.
Nolyn picks the videos
It searches US TikTok for the last 6 months and keeps the 5 most-commented videos that show the products, and the 2 most-viewed YouTube reviews from this year.
It reads every comment
Each comment is marked about the brand or not, then positive, negative, mixed or a question, with one theme. Amazon's rating and aspect counts are read from the brand's top listing.
Read the coverage, then the findings
Check how many comments were actually read, then use the themes, quotes and next steps.
Who uses a brand perception analysis
Brand and marketing teams
Amazon and DTC sellers
Agencies and analysts
What it cannot do
This is not a survey and does not represent all customers. It reads a small, fixed sample of public comments: 5 TikTok videos and 2 YouTube reviews, about 130 comments, and many of them are not about the brand at all. The videos with the most comments decide what is read, so one viral thread can carry a theme. It cannot read Instagram, Reddit, Facebook, review sites, private accounts, Stories, LIVE or DMs, and it does not see sales, returns or support tickets. Amazon review text often cannot be retrieved for amazon.com, in which case only Amazon's own aspect counts and summary are used. Amazon's counts cover all ratings of a listing and are never added to comment counts. It is not a brand awareness measurement: it cannot tell you how many people know the brand. Sorting comments is a judgment call; every report shows its counts so you can check them.
Questions
A read of how people describe a brand when they are not asked: what they praise, what they complain about and how often. This tool does it from public comments on TikTok and YouTube and Amazon's own review summary, and shows how many comments it read, so you can judge how much weight the result carries.
Sentiment tools usually give one score from a large feed of mentions. This gives counts you can check: each comment is marked positive, negative, mixed or a question and given a theme, by source, with the comments quoted. It reads far fewer posts than a social listening platform, and says so, but every number traces back to a comment you can open.
As a quick public-opinion check, yes: the praise and complaints people mention most, by source, with a competitor beside you, and a date so you can run it again later and compare themes. It does not measure awareness, consideration or loyalty the way a brand health survey does.
No. Brand awareness measurement asks how many people know a brand, which takes a survey or search and reach data. This tool reads what people who already talk about the brand say. Video counts from a search are not a measure of awareness, and the report never treats them as one.
It is the public part of it: what customers and viewers say in comments and what Amazon summarizes from reviews. It does not read your support tickets, surveys, NPS or private messages. For Amazon review text on a single product, use the Amazon review analyzer.
Amazon's review text often cannot be retrieved for amazon.com. The tool tries once, and when it fails it uses Amazon's own aspect counts (for example durability: positive and negative mentions) and its "Customers say" summary. Those counts cover all ratings on the listing, so they are shown beside the comment themes, never added to them.
Yes, add one or two. Each competitor is read with a smaller sample: one TikTok search page, the comments on its two most-commented product videos and its top Amazon listing. In the example, only 9 of 30 Stanley comments were about the brand, so its Amazon counts carried the comparison.
Consumer brands that people post about and buy online: drinkware, beauty, kitchen, home, fitness, food and similar. It needs public TikTok videos or YouTube reviews that show the product, and an amazon.com listing for the Amazon part. Brands that sell only to businesses, or that nobody posts about, will get thin results, and the coverage table will show it.
Reading this page and the example is free. Running an analysis needs a Nolyn account: sign in with Google and new accounts get 100 one-time free credits, no card. The example run, with a competitor, used 82 credits and about 7 minutes, so a run like it fits in the free credits. Runs vary: four runs of this brief on the same day used 64 to 115 credits, mostly depending on how many steps the AI took to read long comment pages, so the costliest would not fit in 100 free credits. Follow-up questions use credits too, and once the free credits are used, runs use a paid plan's credits.
To run it, yes: sign in with Google. It is free and asks for no card. You can read the example and fill in the form before signing in.
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