CROSS Business ProducersEXTERNAL — for the buyer side

BUYER GraphAccelerate
your B2B win-rate
before the first meeting.

Technology shouldn't replace your sales team — it should sharpen the decision-making that moves a deal forward. BUYER Graph hypothesizes the decision scenarios of buyers you haven't met yet, combining industry market data, AI hypothesis generation, and human consulting.

  • Prep time: From weeks to days
  • Win paths: Key persons × objections × pricing levers — mapped before the meeting
  • Edge: Industry data × patent-pending AI × human strategy
BUYER Graph — hypothesizing B2B decision scenarios before the meeting
Trial Scan — early access

Accelerate your win-rate
starting with the next meeting.

The hidden key person isn't a surprise you should meet in the room — it's a hypothesis you should walk in with.

BUYER Graph answers questions like these
  • Who is the real decision maker?
  • Which departments will champion this — and which will block it?
  • What value proposition actually makes the buyer move?
  • On what basis should we defend our pricing?
  • Where does the approval process tend to stall?
  • In ABM and ads, what should we say to which title?
Why BUYER Graph is needed

B2B is going digital, yet decision-making is getting harder to see.

The global B2B market is projected to reach USD 24.08 trillion in 2025 and USD 105.85 trillion by 2033. Yet every real purchase decision still moves through multi-department approvals, internal coordination, and budget gates.

* This is a global number, but the structure is identical in Japan — if anything, consensus-based ringi approvals and cross-department coordination make "the buyer's decision is invisible" an even sharper problem than the global average.

74%

of B2B buying teams show unhealthy conflict during the decision processSource: Gartner, The B2B Buying Journey ↗

61%

of B2B buyers prefer a buying experience without a sales repSource: Gartner, The B2B Buying Journey ↗

Increasingly complex B2B decision process
Traditional
Pre-research stage for expert / buyer interviews
3–4 weeks
  • Appointment setting
  • Interviews
  • Expert sourcing
  • Data validation
  • Interview design
With BUYER Graph
Initial hypothesis stage (validated internally)
A few days

Industry data × AI hypothesis generation compresses the pre-work so humans can focus on the strategy that wins the deal.

What BUYER Graph does

Structures the decision architecture of your target market, accounts, and roles — as a working hypothesis.

Drawing on industry market data, public sources, expert knowledge, and client-supplied context, across four lenses.

01

Decision-maker hypothesis

Themes and decision-making criteria for procurement, engineering leads, business owners, and executives.

02

Adoption barriers & objections

Internal approval friction, pricing-negotiation pressure points, and adoption risk.

03

Message design

The questions to test and value angles to lead with in first meetings, proposals, and ads.

04

Follow-up research design

Sharpening the questions for expert interviews, buyer panels, and further research.

Virtual key-person panel
Virtual Key-Person Panel

Preview the reaction
of buyers you haven't met yet.

We construct hypothesized buyer personas and stress-test your proposal, pricing, adoption terms, and ad messaging against them — so you walk into the meeting knowing the likely reactions.

  • Where they're likely to push back
  • Which phrases are likely to land
  • What they will ask in price negotiation
  • What order of explanation moves the deal forward
Head of ProcurementEngineering Evaluation LeadCorporate DevelopmentPartnership-Approving Exec
Human × AI roles

Not AI alone — a service built for the real work.

BUYER Graph isn't a self-serve SaaS tool. Machines speed up the prep work; humans handle the decision-making, the assembly, and the translation into a winning move.

"Machines compress the prep.
Humans decide, assemble, and convert it into a win."
Human and AI division of roles
Where it's used

From pre-meeting prep to ads, proposals, and price negotiation.

01

Meeting / proposal / pricing prep

From first-meeting strategy and executive-readout prep to pricing-negotiation rationale — end to end.

  • Map key persons, adoption barriers, expected objections
  • Articulate the value, draft a first-meeting script, scaffold exec-readout decks
  • Build the case for price increases and structure deals that protect margin
02

Marketing / ABM design

Targeting hypotheses and pre-validation for ABM, lead-gen, webinars, and whitepapers.

  • Personas and value-prop angles for target accounts
  • Fill in reactions, barriers, and use cases that raw firmographic data misses
03

Pre-work for research / interviews

Generate hypotheses with AI and industry data first, so you know what to ask.

  • Question design for expert interviews and buyer panels
  • A hypothesis map of what to validate, prepared up front
Entry-level engagement

BUYER Graph Trial Scan

A short, end-to-end engagement that organizes the pre-meeting essentials for one target account, product, or market.

Company & market context
Hypothesized key persons
Adoption barriers & objections
Price-negotiation levers
Questions to ask in the first meeting
Draft proposal messaging
Discuss Trial Scan terms
BUYER Graph Trial Scan deliverable
EXPERT Graph × BUYER Graph

Accelerate the confidence of both INTERNAL and EXTERNAL.

Internal, known knowledge; external, unknown buyer decisions. Only with both can B2B move past intuition and personal networks.

EXPERT GRAPH
INTERNAL

Accelerate the confidence of knowledge.

Structures the tacit knowledge of experts and in-house talent — people you already have access to.

Visit expertgraph.fun
BUYER GRAPH
EXTERNAL

Accelerate the confidence of the deal.

Hypothesizes the decision structure of buyers you haven't met — using industry market data and AI.

Data & technology

Built on the industry-market-data backbone of our subsidiary, Data Resources Inc.

Decades of industry market data, research reports, and sector knowledge from Data Resources Inc., combined with CBP's foresight methodology and a patent-pending decision-structuring AI.

Note on ethics & scope: BUYER Graph does not reproduce specific real individuals without consent. Drawing on public information, industry market data, prior research, expert knowledge, and limited client-provided context, it structures decision scenarios as hypotheses grounded in company, role, industry, and market context. Mass ingestion of client confidential data is not assumed.
Note on data sourcing: Industry market data and research reports supplied by Data Resources Inc. include paid third-party data sources. Sourcing cost varies with the type, scope, and volume of data used in each engagement, so we quote individually based on scope.
Data and technology foundation
Best fit

Small teams that still need results-driven meeting prep.

When the buyer is hard to read

For companies targeting unfamiliar markets or accounts — bridging domestic / overseas and tech / market gaps to structure the decision process up front.

  • Opening sales for a new business line
  • Understanding overseas buyer decisions before market entry (domestic⇄global bridge)
  • Applying core technology to new markets and use cases (tech⇄market bridge)
  • Organizing the case before proposing partnerships or co-development

Sharpening marketing & ABM

Hypothesize "what the buyer will think" beyond demographic data alone — build target persona and interview questions on real data first.

  • Sharpening ABM and ad messaging
  • Increasing persona resolution down to title and decision criteria
  • Defining what to ask before expert interviews

Teams without dedicated sales

Founders, engineers, and small teams who walk into their own meetings — we take on the pre-work.

  • Building the rationale for price increases and ASP lift
  • Running effective meeting prep without a dedicated sales hire
From the founder
"B2B expert and buyer research has long relied on human experience, networks, and interviews. BUYER Graph combines our proprietary technology with non-public data unavailable on the open web to compress the pre-work — so humans can focus on what really matters: strategy, pricing negotiation, value framing, and execution."
Kotoba Miki
Head of BUYER Graph / CEO, CROSS Business Producers Co., Ltd.
Trial Scan — early access

Accelerate your win-rate, starting now.

Don't meet the hidden key person inside the meeting — meet them before it.

Provided by
CROSS Business Producers Co., Ltd.Data Resources Inc.
CONTACT

BUYER Graph

For consultations, initial diagnostics, or Trial Scan terms, please get in touch.

Service overview
Service
BUYER Graph
Summary
Hypothesize pre-meeting B2B decision scenarios with AI × humans
Entry plan
BUYER Graph Trial Scan
Provider
CROSS Business Producers Co., Ltd.
Data provider
Data Resources Inc.
Technology
Patent-pending decision-structuring AI
Sister service
EXPERT Graph (internal / known-knowledge structuring)

Scan the key persons
before the meeting.

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