Complaint and praise map
The themes competitors get praised and blamed for, with frequencies rather than impressions.
Competitor review analysis means reading the public reviews of other players in your category to learn why customers choose them, what irritates them, and which needs nobody is serving. It is the fastest way to see a market through the buyer’s eyes — no surveys, no panels, no fieldwork budget, because the data is already written by customers themselves.
Reviews are, in effect, customer research the market has already done for you: they say what people will pay for, what annoys them, and what they wish existed. The problem is volume. Hundreds of reviews sit scattered across review sites, marketplaces, app stores and social platforms, and reading them by hand leaves you with an impression of the first page rather than a picture of the market.
Segmentable does the whole job: it finds the platforms where your market talks, collects a corpus of reviews for every competitor, and breaks it into themes with frequencies, sentiment and quotes. You read a structured answer instead of a thousand reviews — and you can open any primary source behind it.
What you get
Unmet needs
What customers ask for and no player delivers — the zone where you have an opening.
Player-by-player comparison
Sentiment and themes for each competitor side by side: you see who loses customers on what.
Positioning arguments
Ready wording for “we solve what they get complaints about”, backed by real quotes.
Quotes with sources
Every conclusion rests on live reviews, and any quote opens on the platform it came from.
Change over time
How complaint and praise themes moved: what competitors already fixed and what has hurt for years.
How it works
Name your competitors
Or just describe your product — the system finds the players in your market itself.
The system builds the corpus
Review sites, marketplaces, maps, social platforms and media — wherever your market leaves traces.
You read a structured report
Themes, frequencies, sentiment, quotes — with click-through to source behind every number.
What it looks like inside
Real product screens, not mockups.
Who it is for
Marketer with one specific job
You need a review breakdown for tomorrow’s meeting, without launching a full study.
Growing startup
Acquisition keeps getting more expensive, and complaints about competitors hide free positioning space.
A similar situation →Marketplace seller
Reviews on competitor listings show exactly how to win on bullets and rating.
Compare the options
| Segmentable | By hand | Agency | ChatGPT | |
|---|---|---|---|---|
| Time | ~2 hours | Days and weeks | 2-4 weeks | Minutes |
| Coverage | Hundreds of reviews across every platform | However many you managed to read | Depends on the budget | Whatever the model recalls |
| Verifiability | Click-through to source behind every quote | A few screenshots | A report with no raw data | No sources at all |
| Refresh | Re-run in one click | Start over | A new quote | New chat, new answers |
Ready product
Competitor reviews
A one-off review analysis across your competitors: theme map, sentiment, quotes with sources. Result the same day.
from $12 · we set it up with you
Frequently asked questions
Which platforms do the reviews come from?
Review sites, marketplaces, maps, social platforms, industry directories and media — the mix depends on where your market lives. The full source list is visible in the report.
What if my competitors have few reviews?
Then the system widens the frame: adjacent players, reference markets and discussions of the category itself. If the corpus is genuinely thin, the report says so instead of inventing conclusions.
How is this different from asking ChatGPT?
A chat retells what it remembers about a category and cannot show you the review it took a claim from. Here the corpus is collected specifically for your competitors, and every theme opens into the actual quotes behind it.
Can I trust review data at all?
Individual reviews are biased; frequencies across hundreds of them are not. That is why the report works with theme frequency and sentiment distribution rather than with single loud opinions.
How much does it cost to start?
The one-off review analysis starts at $12. A full market model with segments, competitors and channels starts at $79. Dollar checkout is not open yet, so we set the first run up with you directly.
Can I re-run it later?
Yes, and that is the point of keeping it as a project rather than a document: a re-run shows what changed in the complaint themes since last time.
Try it on your own market
Describe your product or just give us a link to your site — the system will collect the data and answer the question behind your task.
Related tools
Glossary
- B2B
- Selling to companies rather than to individual consumers.
- Open market data
- The public traces every market leaves: company websites and materials, customer reviews, job postings, media coverage, catalogues. We collect only what is available to anyone online.