Data enrichment
Data enrichment is the process of appending external information to records you already hold — adding company size, industry, funding, job seniority, or technology stack to a contact you only know by name and email. It's typically automated through enrichment providers that match your records against their databases.
Every event database starts thin. Registrations give you names, emails, and whatever few questions people tolerated on the form. Enrichment is how that thin list becomes a working asset: match each email domain against a provider's database and suddenly you know the company's headcount, sector, location, and funding stage — without asking anyone anything. Event teams use enriched data everywhere: segmenting campaigns ("invite all logistics companies over 200 employees"), scoring leads for exhibitors, prioritizing sales outreach for booth space, and feeding matchmaking engines signals that forms never capture. It's also the backbone of exhibitor prospecting — enrich last year's attendee companies and you can see exactly which industries your show actually pulls, versus which you think it pulls. Two honest cautions. First, match rates and accuracy vary a lot by geography and company size; providers strong on US tech firms can be weak on European SMEs, which is exactly who fills many tradeshow halls. Test providers on a sample of your real data before committing. Second, enriched data is still personal data — buying it doesn't exempt you from GDPR. Document your lawful basis, mention enrichment in your privacy notice, and don't append fields you have no defined use for. More data isn't the goal; more usable, defensible data is.
Direct answer
Data enrichment is the process of appending external information to records you already hold — adding company size, industry, funding, job seniority, or technology stack to a contact you only know by name and email. It's typically automated through enrichment providers that match your records against their databases.
More terms
No related terms yet.