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B2B Prospect Research Service
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15 September 2025

B2B Prospect Research Service

Custom prospect research matched to your ICP. We source, verify, and enrich net-new accounts from Companies House, LinkedIn, and trade directories.

Dobrin Dobrev4 min read

Your ABM List Is Too Thin to Win

Account-based selling only works when you know enough about each account to be relevant. Most teams start with a bought list - company name, a generic contact, maybe an industry tag - and call it research. That is not research. That is a spreadsheet with gaps.

Proper prospect research means building a comprehensive dossier on each target account: who the decision-makers are, what technology they run, when they last raised funding, which competitors they already use, and what business triggers make them likely to buy now. The difference between a 20-account list with depth and a 2,000-account list with nothing is the difference between ABM that converts and outbound that gets ignored.

We do the research your team does not have time for.

Who This Is For

  • ABM teams targeting 20-50 high-value accounts who need more than a name and domain. If your AEs are supposed to personalise outreach but have nothing to personalise with, this fills that gap.
  • Founders and sales leaders entering a new vertical or geography and need to understand who the buyers are, how they are structured, and what matters to them. Building your ideal customer profile starts with this kind of primary research.
  • Agencies and consultancies pitching specific named accounts. A tailored dossier gives your pitch team an edge that generic CRM data never will.

How It Works

  1. We define the brief together. You tell us which accounts to research - or describe your ICP and we identify the accounts. We agree on the depth of research per account and the fields that matter most to your sales motion.
  2. We source from primary data. Companies House filings, LinkedIn org charts, trade press, industry directories, job boards for hiring signals, and public financial data. Every data point is sourced and cited - no guesswork.
  3. We build per-account dossiers. Each account receives a structured profile covering firmographics, key contacts with verified emails and direct dials, technology stack, recent triggers, competitive landscape, and a recommended angle of approach.
  4. We deliver in your format. CSV for CRM import, PDF dossiers for AE prep, or both. Every contact is SMTP-verified and TPS-screened.

What Each Dossier Contains

  • Company profile: Registered details, headcount, revenue band, SIC codes, office locations, group structure
  • Key contacts: 5-15 decision-makers and influencers per account with verified email, direct dial, LinkedIn URL, and reporting line
  • Technology stack: CRM, marketing automation, ERP, cloud, security - whatever is relevant to your sale
  • Trigger events: Recent funding, leadership changes, office moves, hiring sprees, product launches, press mentions
  • Competitive intelligence: Known vendors, contract renewal timing where available, public case studies from competitors
  • Recommended approach: Based on the data, a suggested angle for initial outreach - who to contact first, what to lead with, and which trigger to reference

Data Sources

We pull from Companies House, LinkedIn, specialist B2B intelligence platforms, trade directories, professional body registers, open web data, and Companies House data for sales prospecting. Every source is documented. We do not use scraped personal data or non-compliant lists.

Pricing Context

Prospect research is priced per account, typically £75-£200 per account depending on depth. A 30-account deep-dive project usually runs £3,000-£5,000. We scope the exact deliverables on a call so you know what you are paying for before work begins.

For teams that need ongoing research - new accounts every month - a pipeline build or retainer is usually more cost-effective.

Before and After

BeforeAfter
Generic bought list with company name and domainPer-account dossier with 5-15 verified contacts each
AEs research accounts themselves, burning selling timeAEs receive ready-to-use intelligence packs
Outreach is generic - same message to every accountOutreach references specific triggers and competitive context
No visibility into tech stack or buying signalsFull technographic and trigger event coverage
ABM programme stalls after the first 10 accountsScalable research process that feeds the pipeline monthly

Book a free scoping call - tell us which accounts you are targeting and we will confirm what we can deliver, at what depth, and by when.

Frequently Asked Questions

How many accounts should I start with?
Most ABM teams start with 20-50 accounts. That is enough to test the research depth and feed a quarter of outbound activity. We can scale from there.

Can you identify the accounts for us?
Yes. If you describe your ICP - industry, headcount, geography, technology, funding stage - we will build the target account list as part of the engagement.

How long does it take?
5-10 business days for a 30-account project, depending on depth. We confirm timelines during scoping.

What if some accounts are too small for good data?
We flag them early. Very small private companies often have limited publicly available data. We will tell you upfront what coverage to expect and suggest alternatives where needed.

Is this GDPR compliant?
Yes. All contact data is sourced under legitimate interest, SMTP-verified, and TPS/CTPS-screened. Source documentation is included for audit purposes.

Do you just use ZoomInfo or Apollo?
No. Automated tools are part of the workflow, but the value is in the manual research layer - cross-referencing sources, verifying accuracy, and building the strategic context that no database provides out of the box.

Need help with this?

Hand-researched B2B prospects verified against your ideal customer profile.

Learn about ICP-Verified Prospect Pool

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About the author

DD

Dobrin Dobrev

Founder, ClientWise

Dobrin runs data operations for B2B sales teams across the UK. He built ClientWise after seeing too many companies lose pipeline to bad CRM data, bought lists, and tools nobody maintained. He writes about what actually works in data ops - based on cleaning, enriching, and maintaining CRM data for clients every week.

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