IMPLEMENTATION GUIDE
Use professional context as evidence
Build talking points from current positions, company description, industry, and employee count. Keep each statement tied to a returned field. A title can suggest a relevant topic, but it does not prove a person’s budget, priorities, or purchasing authority.
Constrain generated drafts
If your own AI assistant writes the first draft, pass a compact set of profile fields and ask it to avoid unsupported claims. For example, it can connect an operations role to a workflow problem; it should not invent a recent funding round or assert that the recipient is struggling with that problem. Keep review with the rep.
Keep enrichment and sending separate
Match completed enrichment tasks to the contact before preparing the draft. If there is no reliable match, use existing verified context instead. EnrichLoops supplies company and professional data; your outreach system controls recipient selection, message review, and delivery.
Connect the workflow
Use the API overview for request and task handling, or the Loop guide for webhook delivery.
People enrichmentSee the professional fields available for a contact.Common questions
Does EnrichLoops write or send outreach?
No. EnrichLoops supplies enrichment data. Your reps, writing assistant, and outreach platform use that data to prepare and send messages.
Can I discover a person’s email from a name?
This workflow starts with a contact identifier you already have: a work email or LinkedIn profile URL. It does not describe an email discovery service.