"Target mid-market technology companies in Europe" sounds specific until someone has to turn it into a database. Which countries count? Which technology categories? What does mid-market mean? Which roles count? What should be excluded?
Start with the business outcome
Write down what the dataset must support: outbound prospecting, account research, CRM enrichment, market mapping or a specific campaign. The business use determines which fields matter most.
Define company fit
Specify business type, industry, verticals, products, service categories and observable website signals. Add explicit exclusions for categories that repeatedly create false positives.
Make geography precise
Replace broad regions with the countries or territories actually in scope. Clarify whether geography means headquarters, operating presence or contact location.
Define the decision-maker layer
Function is usually more resilient than one exact title. Describe the responsibility you need—sales, marketing, IT, procurement, finance or operations—and add seniority boundaries.
Specify the final schema
Define the row before production: company identity, domain, contact fields, role, geography, classification, status, source and custom fields.
Handle edge cases early
Subsidiaries, acquired companies, franchises, software developers, MSPs and mixed-business organizations can create disagreement. Put those rules in the brief before production scales.
Need a target-account or decision-maker dataset?
DBI can translate an ICP into a research workflow covering company discovery, contact research, enrichment and validation.
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