Every engagement on this page began the same way. A client needed to reach people who did not appear in any database available to them, in a market or an industry where commercial coverage runs thin.
Client names are withheld. What follows is what we researched, what we verified, and what we delivered.
Opt-in across Europe. Permission sought by telephone, confirmed by email, up to twelve attempts per contact before a record is marked no answer.
Telephone-verified contacts in four to five weeks. Our benchmark rate once a research method is established for a market.
The set is deliberately varied. A prospect should recognise their own situation in at least one.
Net-new discovery against a suppression file, competitor installed base research, and double opt-in across Europe.
Bridge design, highway engineering, e-sports, minor league venues. Sectors no commercial database maps.
Building lists in markets where commercial coverage is thinnest.
Contact refresh and net-new discovery for a business whose own product is regulatory compliance.
Technology stack intelligence, complementary installed base discovery, and GDPR opt-in.
Tens of thousands of contacts from several hundred companies that barely appear online.
Suppression-file discovery across three regions, with opt-in across Europe and Canada.
Installed base intelligence for displacement campaigns, with opt-in on their behalf.
Government departments, financial institutions, critical infrastructure operators, and healthcare organisations. Inside those accounts, the buying committee for a security purchase is unusually wide: chief information security officers, heads of information security, IT security and network security managers, data protection officers, infrastructure leads, risk and compliance functions, and increasingly procurement and legal.
Enterprise security sales do not turn on one contact. A single decision involves security, IT, risk, compliance, and procurement, often across multiple regions of the same organisation. A database that returns two names per company cannot support that.
Commercial databases are built for breadth across companies, not depth inside them. They will tell you a company exists and give you a handful of senior names. They will not map the twelve or twenty people who actually influence a security decision, because assembling that requires reading how a specific organisation is structured rather than pattern-matching a job title.
For account-based programmes, that gap is the entire problem. You cannot run ABM against a partial map.
Contact discovery across their named, target, and high-priority accounts in EMEA and North America, working to their job title, job role, and job level criteria. Every engagement ran against their suppression file, so everything delivered was new to them.
For the ABM programmes we went deep rather than wide, mapping the full buying committee inside a single organisation rather than returning one name per company.
Alongside new discovery we refreshed and enriched tens of thousands of existing CRM contacts, and profiled target accounts in depth: company size, parent company, subsidiaries, group structure, holding and investor companies, revenue, headcount, strategy, and near-term initiatives.
For competitive displacement, we researched the installed base of their top competitors across both regions, then discovered the decision makers inside those organisations against their criteria.
Contacts across Europe were double opted-in on their behalf, by telephone and confirmed by email.
The standard. Every contact met the KAT-i Verified standard: custom-built to the brief, 100% telephone-verified against the organisation before delivery, and 100% guaranteed for 75 days. Opt-in ran alongside it as a separate service on this engagement, every permission date-stamped and backed by a voice recording retained for eighteen months. On delivery the data became the client's property permanently.
Bridge and structural engineers, highways engineers and local authority transport officers, infrastructure specifiers and procurement leads, venue and facilities managers, commercial and sponsorship directors, and club secretaries and general managers.
As a publisher and event organiser, they need these people three ways: as subscribers, as delegates, and as exhibitors or sponsors.
There is no bridge design database. There is no minor league venues list. These sectors are commercially invisible in a way that is difficult to appreciate until you try to build a list in them.
Three things combine. The firms are small, regionally scattered, and often privately held, so they rarely appear in commercial datasets built around enterprise firmographics. The categories themselves do not map to standard industry classifications, so even where records exist they cannot be filtered out. And the individuals who matter, a bridge engineer at a county council or a general manager at a regional venue, frequently have no meaningful professional web presence at all.
A crawler cannot find a person who is not on the internet. For a media business whose entire product is access to a specialist audience, that is not an inconvenience. It is the whole commercial problem.
Contact discovery from their named and target accounts, and net-new company discovery against their company criteria, followed by contact discovery inside each newly identified company.
Every one of these sectors had to be defined before it could be researched. There was no category to filter, so we established what counted as in scope, then built the company universe from primary sources: trade associations, industry bodies, regulatory registers, event listings, regional directories, and the trade press.
Contact research then ran through desk work where the people were documented, and through telephone research where they were not, which in these sectors was most of the time.
The standard. Every contact met the KAT-i Verified standard: custom-built to the brief, 100% telephone-verified against the organisation before delivery, and 100% guaranteed for 75 days. Opt-in ran alongside it as a separate service on this engagement, every permission date-stamped and backed by a voice recording retained for eighteen months. On delivery the data became the client's property permanently.
Pharmaceutical and biotechnology companies, academic and research institutions, clinical diagnostic laboratories, government agencies, and industrial quality and process control labs.
Inside those organisations, the people who matter are laboratory managers and directors, heads of research and development, principal scientists and department heads, quality assurance and quality control managers, procurement leads with laboratory budgets, and in academic and government settings, principal investigators and facility directors.
Commercial contact data thins dramatically outside US and UK enterprise, and India and wider APAC are among the sharpest drop-offs.
Several factors compound. Organisations publish less, and what they publish is often not in English or not indexed in the sources commercial databases draw from. Academic and government research institutions, a substantial part of this market, are structured nothing like corporations and are poorly represented in firmographic datasets. Job titles do not translate cleanly across markets, so title-based filtering fails. And laboratory decision makers in these regions frequently maintain no professional profile at all.
The result is that a global vendor with strong data in North America and Europe can find itself effectively blind in markets that represent significant growth.
Contact discovery from their named and target accounts across India, working to their job title, job role, and job level criteria.
Net-new and whitespace company discovery against their criteria, including lookalike research against their existing customer base. Several industries in scope had little available desk research before contact work could begin.
After building the company list, we discovered contacts inside each against their targeting strategy and title criteria.
We also ran deep-dive company profiling: company size, parent company, subsidiary mapping, group structure, holding and investor companies, revenue, headcount, strategy, and near-term initiatives.
Where desk research could not surface the right person, which in this region was often, telephone research went into the organisation directly.
The standard. Every contact met the KAT-i Verified standard: custom-built to the brief, 100% telephone-verified against the organisation before delivery, and 100% guaranteed for 75 days. On delivery the data became the client's property permanently.
Financial institutions and government regulators. The relevant people are heads of financial crime, anti-money laundering officers and money laundering reporting officers, chief compliance officers, fraud prevention and detection leads, heads of risk, financial markets compliance managers, and the technology leads who own case management and investigation platforms.
There is a particular difficulty in marketing compliance software to compliance professionals: your prospect's job is to scrutinise exactly the kind of data practice that sits behind most B2B marketing lists.
An anti-money laundering officer who receives an unsolicited email from a vendor is professionally equipped to ask where the data came from, what the lawful basis was, and whether consent can be produced. If the answer is a purchased list with unclear provenance, the vendor has demonstrated the opposite of the diligence they are selling.
Compounding this, financial crime functions are structurally opaque. Institutions do not publish their compliance org charts, individual officers keep low profiles for legitimate professional reasons, and titles vary widely between jurisdictions and institution types.
Contact discovery from their named and target accounts across EMEA and North America, run against their suppression file so everything delivered was net new.
Refreshed and enriched thousands of existing contacts, all freshly telephone-validated. Where a significant account held few contacts matching their title criteria, we researched and added net-new contacts to that account rather than returning it thin.
Net-new and similar company discovery against their company criteria, followed by contact discovery inside each. Deep-dive account profiling covering company size, parent, subsidiaries, group structure, holding and investor companies, revenue, headcount, strategy, and near-term initiatives.
For competitive displacement, we researched the installed base of their top competitors across both regions and discovered the decision makers inside those organisations.
Contacts across Europe were double opted-in on their behalf, with each opt-in date-stamped and voice-recorded.
The standard. Every contact met the KAT-i Verified standard: custom-built to the brief, 100% telephone-verified against the organisation before delivery, and 100% guaranteed for 75 days. Opt-in ran alongside it as a separate service on this engagement, every permission date-stamped and backed by a voice recording retained for eighteen months. On delivery the data became the client's property permanently.
Across their product lines, the buying committee spans marketing and creative leadership and the technology functions that support them: chief marketing officers, heads of digital experience, marketing operations and marketing technology leads, creative directors and design managers, heads of learning and development, document and content management owners, and the IT and procurement leads who approve platform decisions.
Selling a platform into an enterprise depends on knowing what that enterprise already runs. A creative suite proposal lands differently depending on whether the account currently uses a competing product, a complementary one, or nothing at all, and the right contact differs in each case.
Technology stack data is widely sold and widely unreliable. Most of it is inferred rather than observed: scraped from job postings mentioning a tool, detected from website tags that reveal only public-facing technology, or extrapolated from company size and sector. None of that tells you what is actually deployed inside the organisation, and marketing to an inferred stack means a meaningful share of campaigns are aimed at the wrong target.
The same applies to complementary product installed base. Knowing which organisations run an adjacent product is commercially valuable for partner and integration campaigns, and it is precisely the kind of information no database sells well.
Contact discovery from their named and target accounts across Europe, MEA, and North America, to their job title, job role, and job level criteria.
Net-new and similar company discovery against their company criteria, including lookalike research against their existing customer base.
We researched the installed base of complementary products and applications, then discovered contacts inside those organisations, supporting partner and integration-led campaigns rather than purely competitive ones.
We mapped the technology infrastructure of their top target accounts: which CRM, graphics suite, learning software, and cloud suite each account actually runs. That work was custom-researched rather than inferred from job postings or website tags.
Contacts across Europe were double opted-in on their behalf.
The standard. Every contact met the KAT-i Verified standard: custom-built to the brief, 100% telephone-verified against the organisation before delivery, and 100% guaranteed for 75 days. Opt-in ran alongside it as a separate service on this engagement, every permission date-stamped and backed by a voice recording retained for eighteen months. On delivery the data became the client's property permanently.
Highways and traffic engineers, local authority transport and parking officers, infrastructure project managers, operations and facilities managers, and the commercial and marketing leads at supplier companies who exhibit and sponsor.
As with any exhibitions business, the same audience is needed three ways: as visitors, as delegates, and as exhibitors.
An exhibitions business lives or dies on audience quality, and its audience is often concentrated in companies that have almost no digital footprint.
Specialist suppliers in infrastructure sectors are frequently small, long-established, and commercially successful without ever having invested in web presence. They may have a single-page website, no staff listings, no social presence, and no appearance in any commercial database beyond a registered company name.
For a crawler-based data source, these companies are effectively invisible. For an event organiser, they are the exhibitors.
Contact discovery from their named and target accounts to their job title, job role, and job level criteria, and net-new company discovery against their company criteria followed by contact discovery inside each.
The defining constraint was visibility. A large share of the companies in scope had minimal web and social presence, so desk research alone could not build the list. Those gaps went to telephone research, where our team called into the organisations directly to identify the right people, confirm their roles, and capture working contact details.
The standard. Every contact met the KAT-i Verified standard: custom-built to the brief, 100% telephone-verified against the organisation before delivery, and 100% guaranteed for 75 days. On delivery the data became the client's property permanently.
Technical illustrators and documentation managers, design and creative managers, engineering and CAD leads, heads of technical publications, and the IT and procurement functions that handle software licensing at enterprise scale.
Any established software company reaches a point where its own database becomes an obstacle. After years of campaigns, the marketing team holds tens of thousands of records, and the question is no longer who exists but who they have not already contacted.
Buying more data usually makes this worse. A purchased list overlaps heavily with what a company already holds, so a large share of what is paid for is duplicate. Worse, the overlap is invisible until after import, at which point cleaning it costs more time than the list saved.
The requirement is not more contacts. It is contacts that are demonstrably new, verified against what the client already has, before delivery rather than after.
Contact discovery from their named and target accounts across the UK, Europe, and North America, to their job title, job role, and job level criteria. All work ran against their suppression file, so every record delivered was net new to them.
Net-new and similar company discovery against their company criteria, including lookalike research against their existing customer base across EMEA and North America.
For competitive displacement, we researched the installed base of their top competitors across all three regions, then discovered the right decision makers inside those organisations.
Contacts across Europe and Canada were double opted-in on their behalf.
The standard. Every contact met the KAT-i Verified standard: custom-built to the brief, 100% telephone-verified against the organisation before delivery, and 100% guaranteed for 75 days. Opt-in ran alongside it as a separate service on this engagement, every permission date-stamped and backed by a voice recording retained for eighteen months. On delivery the data became the client's property permanently.
Large enterprises pursuing data transformation across every industry. The relevant people are chief data officers, heads of data engineering and data platforms, analytics and business intelligence leads, enterprise architects, heads of infrastructure, and the technology procurement functions that approve platform-scale investments.
Displacement selling requires knowing who currently runs your competitor's product, and that is not information anyone publishes.
Enterprise data platform decisions are rarely announced. Contracts are confidential, deployments are internal, and the tell-tale signals a crawler might use, such as job postings mentioning a technology, are unreliable proxies for what is actually in production.
Across Europe this compounds, because each market behaves differently. Disclosure norms, procurement practice, hiring patterns, and language all vary between the UK, France, the Netherlands, Germany and wider DACH, the Nordics, Central and Eastern Europe, and Benelux. A method that surfaces installed base in one of those markets does not necessarily work in the next.
Contact discovery from their named and target accounts across EMEA and North America, run against a suppression file so everything delivered was net new.
Net-new and similar company discovery against their company criteria. Deep-dive account profiling covering company size, parent, subsidiaries, group structure, holding and investor companies, revenue, headcount, strategy, and near-term initiatives.
For competitive displacement, we researched the installed base of their top competitors across the UK, France, the Netherlands, Germany and DACH, the Nordics, Central and Eastern Europe, and Benelux, then discovered the decision makers inside those organisations against their criteria.
Contacts across Europe were double opted-in on their behalf.
The standard. Every contact met the KAT-i Verified standard: custom-built to the brief, 100% telephone-verified against the organisation before delivery, and 100% guaranteed for 75 days. Opt-in ran alongside it as a separate service on this engagement, every permission date-stamped and backed by a voice recording retained for eighteen months. On delivery the data became the client's property permanently.
The set is deliberately varied. If none of these describe your situation, the feasibility study is the cheaper way to find out whether the data exists.
| Case study | Demonstrates | Best for |
|---|---|---|
| 100+ contacts in one account | Depth inside a single target | ABM, enterprise sales |
| Seven industries with no data | Sectors with no purchasable list | C-level, niche markets, media |
| Where the databases give up | Hard geographies, India and APAC | Sales, emerging markets |
| Data a compliance team could defend | Provable consent in a regulated market | Legal, compliance, financial services |
| What target accounts actually run | Researched tech stack, not inferred | Sales, partner marketing |
| Almost no web presence | Companies invisible to crawlers | Demand gen, events |
| Net new, every record | Suppression-file discipline | Data ops, marketing ops |
| Eight European markets | Multi-market displacement research | Sales, C-level |
Verified against your brief before it reaches you. If a record does not match, we correct it. There is no acceptable error rate.
If a contact changes role, or an email or phone number stops working in that window, we replace it or credit it back.
On delivery it is your property. We do not resell or reuse it, and our own copy is deleted after the 75-day guarantee period. There is no product database. Nothing is aggregated, nothing is resold, and no historical archive accumulates. Consent recordings are held for eighteen months.
One thing most providers won't tell you. Owning data forever does not make it accurate forever. All B2B data decays. We tell you when a list needs re-verifying rather than let you run a campaign against records that quietly stopped being true.
Tell us the market you want to reach and we will estimate how many companies and contacts we expect to find against your criteria. If the numbers are not there, we will tell you.
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