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.

Analyze a brand

The name people use when they post about it, as it is spelled on the product.

Helps Nolyn drop posts about something else with the same name.

Its own videos are counted apart from creators' videos, since followers are not a neutral sample.

The listing to read on amazon.com. Leave empty and Nolyn picks the brand's listing with the most ratings.

Read with a smaller sample than your brand. It adds to the credits a run uses.

Start from an example:

Sign in to run it. New accounts get 100 free credits; research uses credits for AI and data lookups.

Example resultFrom a real run on November 9, 2026
Brand perception analysis example: Owala, with Stanley
See the full example
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

Every video read, with its link and date, how many comments it returned and how many were about the brand, plus the date range on each source. If a source came back short, the table says so.

Top praise and complaints

The points people mention most, for and against, counted across TikTok and YouTube comments, with the number behind each.

Themes and their share

Each comment about the brand gets one theme, such as design, ease of use, durability or price. Each theme shows its share of all comments about the brand and its positive and negative counts, per source.

Tone by source, kept apart

TikTok, YouTube and Amazon are shown side by side, never blended into one score. Comments on the brand's own videos are counted apart from creators' videos, and sponsored or gifted videos are flagged.

Amazon's own review summary

Star rating, the share of each star, and Amazon's aspect counts (for example durability: positive and negative mentions) beside the comment themes they match.

Quotes and next steps

People's words copied as written, with source, link, date and likes, then 3 to 5 next steps, each tied to a theme count. Add a competitor and it is read on the same measures with a smaller sample.

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

ThemeTikTok commentsYouTube commentsShare of comments about OwalaAmazon aspect (positive / negative mentions)
Lid, straw and spills15 (3 positive, 8 negative, 4 mixed)2 (1 negative, 1 mixed)23.0%Leak-proof 3,132 / 699; Straw 2,581 / 224
Keeps drinks cold17 (10 positive, 7 mixed)023.0%Temperature retention 5,172 / 410
Cleaning and mold11 (2 positive, 9 negative)014.9%—
Brand marketing and gifting11 (11 positive)014.9%—
Wanting to buy6 (5 positive, 1 question)1 (1 positive)9.5%—
General love for the bottle1 (1 positive)5 (5 positive)8.1%—
Durability and drops1 (1 mixed)1 (1 mixed)2.7%Durability 2,189 / 2,780
Ease of use02 (2 positive)2.7%—
Size and cupholder fit01 (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

Lid, straw and spills is the most criticized theme: 17 comments, 9 negative and 5 mixed. Under a TikTok asking how to stop the straw falling out, all 15 comments were about it, from “then as soon as you put it on it falls back off” to fixes such as “It has to be dry, then twist it”. Amazon's own count is milder: 2,581 positive and 224 negative mentions of the straw.

Owners defend how cold it keeps water

When a creator's Owala sweated, 17 of 19 comments defended its insulation: 10 said their own stays cold (“my owala has been left in my car in 110 weather and I came back to my water still being ice cold !”) and 7 said that bottle must be faulty. Amazon agrees: 5,172 positive and 410 negative mentions of temperature retention.

Mold comes up as a habit more than a defect

Cleaning and mold is 11 comments, 9 of them negative, all under one video about a musty bottle. Most blame their own washing (“why can i count the times i’ve cleaned it on one hand oops”); a few point at the bottle (“bro the mouth piece gets so nasty”), and 2 said they never had mold.

The brand's own marketing earns praise and buying talk

On a creator's PR unboxing where Owala sent $64 in cash, 14 of 17 comments were about the brand: 9 praised the marketing (“Whoever is doing their marketing is a genius for this btw.”) and 4 talked about buying, the top one with 26,076 likes: “I actually WILL be buying an owala for this reason alone 😂”.

On Amazon, durability is the weak spot

Owala's FreeSip listing has 4.6 stars from 145,252 ratings (84% five-star, 5% one-star). Of Amazon's eight aspects, durability is the only one with more negative than positive mentions: 2,780 of 4,969 (55.9%). In the comments it came up only twice, both about a drop breaking the lid or the seal.

Stanley: few comments about the cup, a clear Amazon contrast

Stanley's two most-commented product videos were a joke about being robbed and a slow unboxing, so only 9 of 30 comments were about the brand. Amazon is the useful comparison: the Quencher has 4.7 stars from 208,019 ratings, and 73.1% of its leakage mentions are negative (2,146 of 2,937), against 18.2% for Owala's leak-proof aspect (699 of 3,831).

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

  1. 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.

  2. 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.

  3. 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.

  4. 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

Before a launch, a redesign or a new campaign, see which features people praise and which complaints keep coming back, in their words, with a competitor beside you.

Amazon and DTC sellers

Put Amazon's aspect counts next to what TikTok and YouTube viewers say, to decide what to fix, what to explain on the listing and what to answer in comments.

Agencies and analysts

Start a new brand client with a dated, sourced read of public opinion and a coverage table that says exactly what was read.

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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