Pain themes with frequency
Which problems come up constantly and which are one loud review — the difference matters.
A pain point is the specific thing that goes wrong for a buyer often enough that they will pay to stop it. Getting these right decides whether messaging lands or slides off: the same product described against a real pain converts, and described against an imagined one does not.
The usual way to produce them is a workshop, and the usual result is a list of pains the team finds plausible — which is to say, the pains the current product already addresses. It is a closed loop. Anything the team has not thought of cannot appear on the list, because nothing outside the room ever entered it.
Segmentable opens the loop. It collects public material where your market complains — reviews, community threads, comparison pages, support discussions — and groups it into themes with frequencies and sentiment. You see which pains are loud, which are common, and which are severe enough that people switch vendors over them.
What you get
The buyer’s own wording
How this audience describes the problem, which is the wording that makes copy work.
Severity, not just presence
Which pains annoy and which ones actually make people leave a vendor.
Pains by segment
What hurts differs by group — the map shows which pain belongs to whom.
Barriers and triggers
What stops a purchase and what pushes it through, alongside the pain itself.
Quotes with sources
Every theme opens into the real reviews and posts it was built from.
How it works
Give a link or name the category
The system identifies your market and the players in it.
It collects what buyers say
Reviews, communities, comparison pages and support threads become the corpus.
You get themes, not a reading list
Grouped pains with frequency, severity and quotes you can open.
What it looks like inside
Real product screens, not mockups.
Who it is for
Marketer rewriting the messaging
The copy needs the words buyers actually use, not the words the team likes.
Product lead planning the roadmap
Severity data separates what annoys from what makes people churn.
A similar situation →Founder finding first customers
You need to know which pain is sharp enough that someone will pay today.
A similar situation →Compare the options
| Segmentable | By hand | Agency | ChatGPT | |
|---|---|---|---|---|
| Source of pains | What buyers publicly say | What the team assumes | Interviews with a small sample | Model memory |
| Frequency data | Yes, per theme | No | Sometimes | No |
| Verifiability | Quote and source per theme | None | Partial | None |
| Time | ~2 hours | A workshop | 3-6 weeks | Minutes |
Ready product
Competitor reviews
The fastest way in: a one-off analysis of what buyers complain about across your competitors, with themes, frequencies and quotes.
from $12 · we set it up with you
Frequently asked questions
Where do the pain points come from?
From public material where your market talks: customer reviews, community threads, comparison pages and support discussions. The source list is visible in the report.
How do you tell a real pain from a loud one?
By frequency and severity rather than volume. A theme that appears constantly across hundreds of reviews behaves differently from one review written in capitals, and the report separates them.
Does this replace customer interviews?
It makes them sharper. You walk into interviews already knowing the common themes, so the conversation is spent on why and how much rather than on discovery.
What if our category is small or niche?
Then the frame widens to adjacent and reference markets, and the report states plainly how thin the corpus is instead of presenting a weak signal as a strong one.
How much does it cost to start?
The review-based analysis starts at $12. A full market model with segments, pains and channels starts at $79. Dollar checkout is not open yet, so we set the first run up with you directly.
Can I see which pains changed over time?
Yes. A re-run shows which themes competitors have fixed and which have been hurting for years — often the most useful thing in the report.
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.