CUSTOM INTELLIGENCE

Bring Us the Commercial Question Standard Filters Can't Answer.

Tell us what you're trying to identify. We assess feasibility first, then design the research model around the requirement rather than forcing your question into a prebuilt dataset.

GOOD CUSTOM QUESTIONS

Start with the decision you need to make.

Custom Intelligence is most useful when the buyer can explain the business question but conventional search filters cannot isolate the answer reliably.

Which companies meet this unusual combination of criteria?
Which accounts show a specific business or technology condition?
Who owns this problem inside each organization?
Can this fragmented market be mapped reliably enough to act on?
EXAMPLES

The requirement can start narrow, complex or unfamiliar.

Custom market universe

Find companies matching multiple operating, technology, ownership, maturity or geography conditions.

Unusual buyer map

Identify the functions and people responsible for a problem that does not map neatly to one standard title.

Change-based targeting

Find organizations experiencing a combination of business events that may create a specific commercial need.

Competitive environment

Research companies using a particular technology stack and layer contextual criteria around the install.

Market-entry research

Build a practical account universe in an unfamiliar market and define the fields needed before outreach.

Existing-list qualification

Take a broad CRM or account list and determine which records actually meet a more nuanced requirement.

FEASIBILITY FIRST

We should sometimes say “not yet.”

Some questions require specialist datasets, primary research or evidence that is not reliably available. A useful discovery process should identify that before a large project begins.

Feasibility review checks

  • Can the qualification criteria be translated into observable evidence?
  • Are appropriate structured or web sources available?
  • Can entity matching be done reliably?
  • Can the buyer roles be researched at the required depth?
  • Which fields are estimates, interpretation or unavailable?
  • What sample size is enough to validate the workflow?
START WITH EVIDENCE

Describe the intelligence you need.

Tell us the companies, market, conditions, signals or decision-makers you are trying to identify. We will assess whether the requirement can be researched reliably.