Consultant or agency
Evidence-based, but slow and expensive6-8 weeks and $4K-64K. It ends as a PDF that ages the moment it is printed
Situations
When teams bring in Segmentable
The situations differ, but the structure is the same: you need market knowledge that does not exist internally yet, and you need to rely on it
Launch
Launching a new product
You need segments, competitors, channels, and launch materials before the launch budget burns out
From hypotheses to launch materialsScenario breakdownGrowth ceiling
The current segment has stopped growing
CAC is rising and auctions are getting expensive, so you need to see the market structure and new entry points
New segments + ICP + channelsScenario breakdownNew geography
Entering an unfamiliar market
Different behavior, different players, different channels — with even less knowledge than at home
Market landscape + entry playsScenario breakdownDecision defense
You need to defend the idea to the board
The CEO, board, or investor expects arguments, not opinions — every number must withstand review
Source-backed argumentationScenario breakdownIdea pipeline
More ideas than hands
Leadership asks to validate by a date, while each check can take a team a quarter
Validation pipeline: days, not quartersScenario breakdownSystematic GTM
The product exists, systematic sales do not
You know how to build the product, but not how to sell it; you need a grounded path, not a channel lottery
Whom to sell to, what to sell, and whereScenario breakdownDo not see your situation? Describe the task in your own words — the wizard will suggest the research frame
Why Segmentable
Before, teams had to choose between three compromises
Market knowledge is structurally missing inside the company: expertise is tied to an old segment, the portfolio is wider than any single expertise, and idea flow exceeds team capacity
In-house effort
No owner, no toolsThe market knowledge gap is structural, not personal: the team has neither the tools nor the time
ChatGPT
Fast, but a black boxEssays without sources: you cannot prioritize, verify, or take them to the board
Segmentable combines all three: methodological structure + evidence for every number + a working surface for the team. In hours, not weeks Detailed comparison →
How it works
From brief to strategy: an autonomous pipeline
The same discipline as a research team: frame, collection, analysis, strategy, materials. The AI-agent pipeline executes it
Brief
Product, market, hypotheses — or simply a link to your website
Autonomous assembly
A pipeline of AI agents gathers open data: competitors, reviews, prices, channels, vacancies. One click to readiness
Market model
Connected catalogs from segments to channels. The methodology is consistent, so projects are comparable
Evidence-backed analyses
TAM, Kano, SWOT-5, benchmarks, forecasts, seasonality. Each one has a key conclusion and click-through to source
Strategy and materials
Segment × need × channel plays, use cases, action map, presentations, and sales kits
Open data only
Nothing is taken from your perimeter — a ready argument for security review
No IT burden
Works as a service: no CRM integrations or developer involvement required
A result, not an experiment
Not a PDF in a drawer, but a working system: data stays alive and turns into action
Interface
Not promises, but working surfaces
Every screenshot below is one live project: the GTM research of the market Segmentable itself operates in. The system does not end with a report — the data remains a workspace How evidence works →
Working overview
Project overview
What the market says about the project: research coverage, industry frame, opportunities and risks, with links into every workspace
Go-to-market matrix
Segmentable assembles every possible combination: segment → need → product feature → promotion channel
The Segmentable project contains 201,320 such combinations. The system then evaluates each combination against the selected business objective
- potential revenue — Revenue
- return on investment — ROI
- potential market share — Market Share
The system then ranks the combinations and shows which segments, needs, features, and channels offer the best starting point for entering the market
Go-to-market scenarios
Each promising combination becomes a ready-to-use launch scenario
A scenario combines the target segment, need, product features, promotion channels, and estimated potential revenue. From the scenario, you can immediately create a landing page, presentation, or another marketing asset
Competitive pressure
Red and blue ocean
Where competitor signals show market crowding, where blue zones remain, and where your company sits on the map
Seasonality and demand cycles
Demand peaks and launch windows, with an evidence table beneath the chart
Source library
7,500+ sources with trust scores — down to the raw material behind any answer
Action map
A scenario workspace: initiatives, channels, and landing-page elements
I was shocked that Segmentable does in 2 minutes what used to take months.
Outcome
A working decision map, not a report
Every result block is tied to sources and moves into action: segment choice, channel setup, message, landing page, presentation
High-potential segments
Ranked segmentation: which customer groups can deliver the most revenue with your resources
Needs map
Pains, triggers, barriers, and selection criteria — what each segment is really buying
Competitive landscape
How players are positioned, where their gaps are, and which white spaces you can occupy
Data-backed channels
Where to invest promotion budget, and which channels do not match audience behavior
Scenarios and action map
Whole product for every play: before/after, entry window, funnel initiatives, and a bridge to execution
Launch materials
Landing pages, presentations, and sales kits for each segment and channel, assembled from project data
After the research is complete, the project remains a working system
- track market changes and competitor activity
- ask the AI assistant questions about the research database
- work with your team and share results via a link
- embed results into other work systems
- connect the data to corporate AI tools through MCP
- export the research to PDF for presentation or archiving
Analysis depth
Explore, Focus, and Dominate for the stakes of the decision
The higher the cost of error, the deeper you should dig: from a quick direction check to a full market that can withstand board defense
Explorefrom $6,900
Quick test
Check a direction: target market, key competitors, and first scenarios in one evening
- Market
- Target market
- Competitors
- 2-3 competitors
- Scenarios
- 2-3 scenarios
Focusfrom $17,900
Detailed workup
A working product strategy: competitors, segments, needs, channels, and launch materials
- Market
- Target market + 1-2 reference markets
- Competitors
- 8 competitors
- Scenarios
- 6-8 scenarios
Dominatefrom $39,900
Full market
Maximum depth for a critical launch, board review, or a large new direction
- Market
- Target market + several reference markets
- Competitors
- 8-15 competitors
- Scenarios
- 10-15 scenarios
Pricing ladder
From one-off validation to a team system
Start with one hypothesis in an evening, move to a subscription when research becomes a flow, or build an enterprise setup with integrations and a dedicated strategist
self-serve
Solo
First hypothesis test: no subscription, pay per project
$0 + projects from $6,900- No subscription — pay only for projects
- 1 project at a time, data is stored for one month
- Projects at base price
Business
A live GTM loop for one product: regular checks and updates
$45,000 / mo.- Projects are roughly one-third cheaper
- A neural assistant trained on your project and industry
- Quarterly competitive-analysis refresh
Team
A synchronization environment for marketing, product, and sales
$980,000 / year- Unlimited Explore projects and project count
- Monthly data refresh and review analysis
- MCP server and SegFlow Studio
Enterprise
Committees, security review, integrations, and team training
$4.9M / year- Unlimited Explore and Focus included
- Integrations and adaptation to customer processes
- Dedicated GTM strategist and training
Not ready for a full project yet? One-off analyses from $12: and
Full pricing gridClients
Who we have worked with
Companies that allowed us to publish feedback on our work
Retail · Foodtech
ВкусВилл
A grocery retail and delivery network developing its own store and digital formats
- Vending
IT · Infrastructure
Picodata
Developer of a distributed DBMS and infrastructure solutions for high-load enterprise systems
- Picodata
Retail · Technology
X5 Group
A food retail company developing store networks, logistics and digital services
- AI assistants
- Analytics for Dialog X5
Finance · Data
Скоринг Бюро
A credit bureau and provider of data and scoring solutions for the financial market
- Karma scoring bureau
Beauty · Retail
ИЛЬ ДЕ БОТЭ
A perfume and cosmetics retailer with physical and online sales channels
- Market research project
DRC GLOBAL
FMCG · Oral care
DRC Global
The international division of R.O.C.S., a manufacturer of oral care products
- Whitening products
Card&Go
Fintech · Travel
Ситора
Card&Go by Sitora, a fintech service for obtaining international bank cards
- International bank cards
FMCG · Food
Пиканта
A food brand producing ready-made sauces and products for home cooking
- Pikanta Beans
For corporations
Our research is easy to take through security review and procurement committees
Research is built only on external open data — nothing is taken from your perimeter. Teams and roles, integrations and MCP, a dedicated strategist and training, and transfer of finished projects inside the organization
External data onlyTeams and rolesIntegrations and MCPUnified portfolio methodology
Frequently asked questions
What is Segmentable in one sentence?
A platform that, in hours, assembles a model of your market from open data — segments, needs, competitors, channels — and turns it into a go-to-market strategy with ready materials
Where does the data come from, and can I trust it?
From open market sources: player websites and materials, reviews, job postings, media, catalogs. Every number clicks through to its source, and assembly coverage is visible on the proof page
How is this different from ChatGPT?
A chat answers with a retelling and no sources. Segmentable builds a verifiable model: methodology, segment and need matrices, a competitive map, and click-to-source behind every number
How is this different from an agency?
By an order of magnitude in time and price: hours instead of months, a fraction of an agency GTM engagement. The result is not slides but a living market model you can refresh
How much does it cost to start?
A one-off Explore study starts at $79, quick products at $12. A subscription is only needed once research becomes regular
How safe is it for the company?
The model is built from external open market data — nothing is required from your internal loop except the website and a short brief
We will show who your customers are and how to reach them
Describe the product or just provide a website link — the system will assemble segments, competitors, needs, channels, and first promotion materials
Free registration · one-off analyses from $12 · projects from $79
Glossary
- Go-to-market strategy
- The plan for how a product finds its buyers: who to sell to first, what to tell those people, where to reach them and at what price.
- 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.
- Explore, Focus, Dominate
- The names of Segmentable’s three research formats — from a quick check (Explore) to detailed work (Focus) and a full sweep of the market (Dominate).