Prospect research
B2B Prospect Research: What to Research Before You Contact an Account
A practical guide to B2B prospect research: the questions worth answering, the sources worth checking, and how to turn scattered evidence into a useful sales brief.
B2B prospect research is the process of finding enough reliable information about a company and the relevant people inside it to decide whether the account deserves sales attention and what a sensible conversation could be about.
Good research is not a biography of the company. It is a decision tool.
By the end of a useful research pass, a seller should be able to answer five questions:
- What does this company actually do?
- Does it fit the market we serve?
- Who is likely to care about the problem we solve?
- Has anything changed that makes the account more relevant now?
- What evidence supports those answers?
If the research cannot answer those questions, adding more facts rarely helps.
What should B2B prospect research include?
A useful account record usually has five layers.
1. Company reality
Start with facts that describe the business as it exists today:
- products and services
- customers or markets served
- locations
- size and growth indicators
- ownership or group structure
- business model
- major business units
The goal is not to collect every available firmographic field. It is to understand enough of the company to interpret later evidence correctly.
A 200-person software company opening its first US office means something different from a 20,000-person group opening another regional branch.
2. Commercial fit
Next, compare the company with the criteria that make an account worth pursuing.
Useful fit questions include:
- Is it in the right industry?
- Is it large enough to experience the problem we solve?
- Is it too large for our delivery model?
- Does it operate in the right geography?
- Does its business model create the problem our offer addresses?
- Are there obvious exclusions?
This is where an ICP becomes operational. A company can be interesting without being a good prospect.
3. Relevant people
Research should identify the people connected to the likely problem, not simply the most senior person available.
That might include:
- economic buyer
- functional owner
- operational user
- technical evaluator
- procurement or finance influence
- a newly appointed leader with a relevant mandate
Titles vary between companies. The useful question is: who would own the consequence of this problem?
4. Recent change
Static fit tells you whether an account belongs on the list. Change can tell you whether it deserves attention now.
Examples include:
- leadership appointments
- expansion
- acquisitions
- funding
- restructuring
- rapid hiring
- new product launches
- technology changes
- new offices or markets
- regulatory or strategic shifts
These are not automatic buying signals. They are events worth interpreting.
5. Evidence
Every important claim should have a route back to a source.
For example:
Observed: the company opened 12 revenue-operations roles across two countries in the last six weeks.
Possible interpretation: it may be building a more formal revenue infrastructure.
Unknown: whether a new sales platform or external partner is part of that plan.
That distinction matters. It keeps research useful without pretending public information reveals internal decisions.
Which sources are worth checking?
Different sources answer different questions. A sensible research pass uses the smallest set that can answer the commercial question.
Company website
Best for:
- current positioning
- products
- customers
- leadership
- locations
- press releases
- official announcements
The company website is first-party evidence, but remember that it is also marketing material.
Company LinkedIn page and employee profiles
Useful for:
- team growth
- role changes
- functional structure
- hiring patterns
- seniority and likely ownership
Treat profile data as a clue to verify rather than a complete organisational chart.
Job adverts
Job descriptions can reveal more than the vacancy itself. They may reference:
- planned expansion
- new systems
- reporting lines
- transformation programmes
- geographic growth
- team-building priorities
One vacancy is weak evidence. A pattern is more informative.
Official filings and public records
Depending on geography and company type, these can help verify:
- directors
- ownership
- financial position
- registered entities
- acquisitions or structural change
For UK companies, Companies House can be particularly useful for entity and director verification.
News and trade publications
Useful when you need independent context around:
- acquisitions
- funding
- partnerships
- market expansion
- executive appointments
- major customer wins
Prefer reporting that names the underlying announcement or source.
Commercial data providers
Useful for structured company and contact data, especially when speed and coverage matter.
They are most valuable when their data is treated as one input rather than unquestioned truth.
A practical prospect-research workflow
The process should be repeatable enough that two sellers looking at the same account reach broadly similar conclusions.
Step 1: Establish the company
Confirm the correct entity, website, geography and business model.
This prevents a surprising number of downstream errors, particularly with companies that share names or sit inside larger groups.
Step 2: Test fit
Apply your ICP and exclusion criteria before doing deep research.
If the account clearly fails the basic fit test, stop. Research time is already being wasted if the answer was knowable from three facts.
Step 3: Find relevant people
Map roles to the business problem. Do not default automatically to the CEO.
Step 4: Look for material change
Check recent evidence that could alter priorities, resources, structure or timing.
Step 5: Verify the strongest claims
If an event is central to the reason for outreach, corroborate it where possible.
Step 6: Write the shortest useful brief
A good brief is usually much shorter than the research behind it.
It might contain:
- Who they are: one or two sentences
- Why they fit: the relevant fit evidence
- What changed: the most material recent event
- Who matters: relevant people and why
- What to verify: the key unknown
- Sources: links behind the claims
That is enough to prepare a seller without forcing them to reread the internet.
How long should prospect research take?
There is no single correct number because the depth should match the value and complexity of the account.
A useful operating model is:
- 2 to 5 minutes: confirm basic fit and obvious disqualifiers
- 10 to 15 minutes: prepare for a normal outbound call or email
- 20 to 40 minutes: strategic account, senior meeting or complex sale
- deeper research: reserved for accounts where the commercial value justifies it
The mistake is giving every account the same research budget.
For a practical short-form workflow, see How to research a company before a sales call.
What makes prospect research bad?
More information can make research worse if it hides the decision.
Common failure modes include:
Copying the About page
That tells you what the company says about itself, not why it belongs in your pipeline.
Collecting irrelevant personal trivia
A prospect’s university, hobbies or recent podcast appearance can produce superficial personalisation without improving commercial relevance.
Treating every event as a reason to buy
Funding, hiring and leadership changes are not purchase orders. They need interpretation.
Using stale evidence
A strong event from 18 months ago may no longer explain the current account.
Hiding uncertainty
If the evidence does not support a conclusion, the useful output is “unknown”, not a confident sentence generated to fill the space.
Research depth should be earned
The best prospect-research process is progressive.
Start cheap. Earn the expensive work.
A simple model is:
identify → qualify → investigate → prepare
Do not deeply investigate 500 accounts to discover that 430 were weak fits from the start.
That principle is also where automation becomes valuable. AI can reduce the cost of the early research pass, but only if the system preserves the difference between evidence and inference. See the AI prospect-research worked example for what that looks like in practice.
The standard to aim for
Good B2B prospect research should let a seller explain the account in under a minute without losing the evidence underneath.
If the output is clear, current and traceable, the seller can decide what to do next.
If it is merely comprehensive, it is probably research for research’s sake.
