Lead enrichment
Lead enrichment is the process of automatically adding missing data to a lead or company record — job title, company size, industry, verified email, phone, LinkedIn, technographics — from third-party data sources, so reps can segment, personalize and prioritize without manual research.
How it works
An enrichment service matches a known identifier (email or domain) against data providers and appends fields to the record, often in real time as leads are created or imported.
Why it matters
Enriched records enable targeting and personalization at scale and reduce bounce rates (because emails are validated). Thin records produce generic outreach that gets ignored.
How Autocloz handles it
Autocloz enriches and verifies leads as they enter the CRM and exposes the data to the sequence engine, so personalization tokens and channel selection use real, validated fields.
FAQ
Does lead enrichment improve deliverability?
Indirectly, yes — enrichment usually includes email verification, which removes invalid addresses before sending and keeps bounce rates (and reputation) healthy.
Related terms
An Ideal Customer Profile (ICP) is a description of the company that gets the most value from your product and is easiest to win and retain — defined by firmographics like industry, company size, revenue, geography and technology stack. It targets accounts (the company), distinct from a buyer persona, which describes the individual within the account.
Lead scoring is the practice of assigning a numeric value to each lead based on how well they fit your ideal customer profile (demographic/firmographic fit) and how engaged they are (behavioral signals like email opens, site visits, demo requests). The score ranks leads so sales works the hottest ones first.
A Marketing Qualified Lead (MQL) is a lead that has shown enough interest and fit — through behaviors like downloading content, attending a webinar or repeated site visits — that marketing deems it worth passing to sales for follow-up. It is more engaged than a raw lead but not yet vetted by a salesperson.
Intent data is behavioral information that signals a company or person is actively researching a product, category or solution — indicating they may be in-market to buy. It includes first-party signals (activity on your own site and content) and third-party signals (content consumption and search behavior across a data provider's network of sites).