01
Expensive leads
Customer acquisition cost is growing while the number of qualified inquiries is falling.
Big Data / ICP
B2B customer acquisition technology
We find companies that are already ready to buy your B2B product
We analyze the market, identify companies with the highest purchase probability, and reach them through several communication channels.
First
in the CIS
We were among the first to use big data to aggregate decision-makers and run targeted advertising with real ROI in B2B.
100+Successfully delivered 100+ projects
20+Built 20+ sales departments from scratch
40M+Generated 40M+ in net profit
Who it is for
B2B companies with complex sales and clear deal economics
We work with companies whose deal cycle lasts from a few days to two months.
B2B
Manufacturers
Distributors
Suppliers
Industry
Construction
IT
Healthcare
Service companies
Contractors
Equipment
Complex solutions
Growth blockers
Problems that slow sales growth
These limitations make acquisition unpredictable, complicate sales operations, and prevent systematic revenue scaling.
02
No decision-maker database
Decision-maker contacts are missing, which slows down access to potential customers.
03
Uncontrolled sales funnel
There is no unified system to control the customer journey through to the deal.
04
Dependence on referrals
Most clients come from recommendations, while new channels barely work.
05
Ineffective sales motivation
Managers work without transparent KPIs and result-oriented incentives.
06
No sales analytics
It is unclear which channels, actions, and employees actually affect revenue.
Our technology
We find links between company attributes and deal probability
The diagram shows how market, portfolio, and channel data returns to the system: every new contact refines the model and strengthens the next acquisition cycle.
Correlations reveal the attributes of the best buyers
Segments launch channels from one database
Sales results return to analytics
DATA
ICP
MCA
OPS
GROWTH
DATA
We collect and merge market, CRM, lead, deal, and external-source data into one working database.
ICP
We identify companies with the highest purchase probability and highlight the attributes of the best customers.
MCA
We build multichannel acquisition: advertising, email, LinkedIn, telemarketing, and follow-up touches work in sync.
OPS
We implement the necessary changes, connect DMP, CRM, and the sales team, and support lead processing.
GROWTH
We scale results based on accumulated data and return new signals back into DATA.
What happens at each stage
From market research to handing leads over to sales
01
Research the market
We collect external data: tenders, vacancies, revenue, licenses, geography, industries, and company structure.
02
Study the client portfolio
We review active clients, lost clients, leads, deals, and the current sales funnel.
03
Find patterns
We run correlation analysis and identify company attributes that most often lead to purchases.
04
Segment the audience
We define priority company groups and processing logic from the most precise to broader segments.
05
Build the database
We create a list of companies and decision-maker contacts, enriching it with emails, phones, addresses, and extra parameters.
06
Launch channels
We use Yandex, email, LinkedIn, and telemarketing as a connected touchpoint ecosystem around one database.
07
Capture demand
The DMP and website store target actions, repeat visits, and inquiry context from forms, quizzes, chatbots, or the site.
08
Support sales
We pass leads with context and prepare scripts, checklists, and recommendations for handling live situations.
09
Managed system
The client receives not a one-off launch, but a technology for search, touchpoints, demand capture, and lead processing.
Our team
The project is led by specialists who connect analytics, marketing, and sales
We work as one team around your funnel: finding patterns in data, building a target company database, launching touchpoint channels, and helping sales use the resulting context.
Business analyst
Stanislav Kleyman
Business analyst, PhD in Mathematics
Responsible for market research, pattern discovery, and building a precise target customer model.
Big Data
Dmitry Sokolov
Big data specialist
Collects, enriches, and structures data arrays for segmentation and high-potential company discovery.
Development
Ilya Novikov
Developer
Sets up technical infrastructure, integrations, forms, DMP, and CRM data transfer.
Traffic
Maria Orlova
Traffic specialist
Launches and optimizes advertising campaigns for collected audiences and segments.
Consulting
Pavel Matveev
CEO — consulting lead
Defines the project strategy, runs consulting sessions, and helps make decisions on sales system development.
Telemarketing
Ekaterina Morozova
Head of telemarketing
Organizes calling, controls contact quality, and helps build lead handling.
Acquisition channels
Not separate tools, but an ecosystem around one database
Yandex, LinkedIn, email, telemarketing, and DMP work from one company database. Each touch strengthens the next: a company sees an ad, receives an email, reads expert content, may receive a call, and returns to the site with preserved context.
01
Yandex Direct
Campaigns based on collected audiences, emails, phones, and office geo-segments.
→ Based on the DATA + ICP audience
02
LinkedIn
Expert posts, nurturing, and direct touches with decision-makers.
→ Based on the DATA + ICP audience
03
UniSender
Personalized email campaigns with variables in the subject and body.
→ Based on the DATA + ICP audience
04
Telemarketing
Calls to owners, CEOs, and relevant department heads.
→ Based on the DATA + ICP audience
05
DMP
Capturing target actions, technical identifiers, and repeat visits.
→ Based on the DATA + ICP audience
Cases
Results from analytics, customer search, and B2B sales implementation
We show how a data system, ideal customer profile, and managed acquisition channels help find target B2B customers and bring them to a deal. The cases cover very different business structures to demonstrate the versatility of the DATA + ICP approach
WOWFOODS
Wholesale dietary supplement supplies
Task
Attract wholesale buyers from the target B2B audience and exclude irrelevant inquiries.
What we did
We analyzed the market, built an ideal customer profile, and used our own data system and market analytics to collect a database of supplement manufacturers, packers, and FMCG companies. We launched campaigns only for the most promising segments.
Result
286 qualified leads in one month with an ad budget of 23 832 ₽.
LDM PromValves
Industrial valve manufacturer
Task
Receive inquiries only from potential corporate customers and reduce acquisition cost.
What we did
We built a B2B funnel, defined target actions, configured campaigns, and focused promotion on companies matching the ideal customer profile.
Result
Qualified inquiry cost — 412 ₽. A contract was signed for 10 324 EUR.
Ceram Kioto
Porcelain stoneware supplier
Task
Increase corporate orders and reduce dependence on retail customers.
What we did
We found that 93.5% of orders came from individuals. Using our data system and market analytics, we built a database of 19,000+ construction companies with active SRO membership and launched campaigns only for the target B2B audience.
Result
A supply contract was signed for 500 m² of porcelain stoneware to a corporate customer.
Predobaby
Personal hygiene product manufacturer
Task
Find new B2B segments and improve corporate customer acquisition efficiency.
What we did
We analyzed the existing client portfolio, segmented the audience, developed personalized communication scenarios, and launched email marketing for the most promising segments.
Result
Email campaign CTR — 45%, more than 3 long-term contracts with a total value above 7.05M ₽.
Moneyplace
SaaS marketplace analytics platform
Task
Build an effective cold sales system for a product with an existing but non-mandatory need.
What we did
We audited the sales department, researched the market and target audience, revised product positioning, and implemented a new onboarding, KPI, grading, and motivation system.
Result
The project was launched in 2 months. By the third month, the sales plan was exceeded by 177%, revenue reached 738 572 ₽ per month.
Quiz
We will estimate the potential size of your target audience
We will estimate the potential target audience size and suggest a customer acquisition strategy within 12 hours.
Take the quiz
4 short steps: website, customers, lead generation problem, name, and preferred contact.
What the client gets
The project result is a unified technology for customer acquisition and sales development
Every project artifact is connected to the previous stage: analytics becomes a customer model, the model becomes a company database, the database becomes acquisition channels, and channels become leads and managed sales.
Research
Data
Sales
Scaling
Analytics
Ideal customer
Company database
Acquisition channels
Leads
Sales
Ideal customer model
Understanding which companies are highly likely to buy the product.
Potential customer database
A list of companies and decision-maker contacts for further work.
Demand generation channels
Yandex, email, LinkedIn, telemarketing, DMP, and CRM work together.
Leads
Contacts with interest context, source, segment, and touchpoint history.
Sales tools
Scripts, negotiation assessment checklists, and management recommendations.
Team support
Consulting on current situations and support for the sales team during lead processing.
Project timeline
2-month implementation roadmap
Each stage ends with a specific measurable result that becomes the foundation for the next step.
Week 1–2
Week 3
Week 4–6
2 months
Week 1–2
Research
Deep dive into the product, market, current customers, leads, sales funnel, and external data.
Stage result
Understanding of the market, client portfolio, and purchase signals.
Understanding of the market, client portfolio, and purchase signals.
Week 3
Database building
Correlation analysis, ideal customer model, priority segments, and potential customer database collection.
You get
A company database, decision-makers, and parameters for launching touchpoints.
A company database, decision-makers, and parameters for launching touchpoints.
Week 4–6
Channel launch
Yandex, email, LinkedIn, telemarketing, DMP, and CRM work from one database and one logic.
Stage result
First touchpoints, inquiries, and optimization data.
First touchpoints, inquiries, and optimization data.
Week 7–8
Optimization and handover
We analyze responses, adjust segments and messages, hand over leads, and support the sales team.
You get
Qualified leads, recommendations, and a plan for further system development.
Qualified leads, recommendations, and a plan for further system development.
FAQ
Questions that usually come up before starting
What companies is the project for?
For B2B companies with complex sales: manufacturers, suppliers, distributors, contractors, industrial, construction, IT, healthcare, and service companies.
Why do you start with analytics rather than advertising?
Without a buyer model, channels work with broad audiences. Analytics helps identify who actually buys and focus the budget on similar companies.
What data do you need from the client?
Information about the product, current customers, leads, lost deals, sales funnel, market constraints, and target segments.
Can you use only open data?
Yes, but the best result comes from combining open sources with the client portfolio, because it shows real purchase patterns.
What is an ideal customer model?
It is a set of company attributes that indicate a high probability of buying: industry, size, revenue, geography, purchasing activity, decision structure, and other factors.
What is included in the potential customer database?
Organization names, decision-maker contacts, emails, mobile numbers, office addresses, segments, priorities, and extra communication parameters.
Why use several channels?
In B2B, one contact rarely works. A series of touches through ads, email, LinkedIn, calls, the website, and CRM increases the chance of dialogue.
How does a DMP help sales?
The DMP captures target actions, repeat visits, and technical inquiry context so interest is not lost after the first contact.
What does the sales team get?
Leads with context, segment, touchpoint history, dialogue entry recommendations, first-touch scripts, and negotiation checklists.
How long does the project take?
A typical launch takes 2 months: research, database building, channel launch, optimization, and handover.
What counts as a result?
Ideal customer model, potential customer database, launched channel ecosystem, leads, sales tools, and a further development plan.
Can we continue after the first 2 months?
Yes. After launch, the system can be scaled: expand segments, update the database, strengthen channels, and improve lead handling.
Final CTA
We will analyze your niche and show what a customer acquisition system could look like for your company.
At the first meeting, we will define what data can be used, which segments to test, and how to build a system for search, touchpoints, demand capture, and sales handover.
Discuss a project