How to Enrich Leads: Step-by-Step Tutorial

Before You Start: What You Need

Before enriching your leads, you need a clean CSV file with at least two columns: a name field (first name, last name, or full name) and either a company name or domain. Email addresses are helpful but not required - enrichment tools can find emails based on name and company.

You'll also want to decide which data points matter most for your outreach. Do you need verified email addresses? Direct phone numbers? Company size and industry? Technology stack? Knowing your enrichment goals upfront helps you configure the right workflow.

Step 1: Import Your Lead List

Start by importing your CSV file into your enrichment platform. In Enrichabl, navigate to your pipeline and click "Import CSV." Map your CSV columns to the correct fields: first name, last name, email, company, domain, and any other fields you have.

Clean your data before importing if possible. Remove obvious duplicates, fix formatting issues (like extra spaces in names), and ensure company names are consistent. This pre-cleaning step improves match rates during enrichment.

Step 2: Validate Existing Email Addresses

If your leads already have email addresses, validate them first. Email validation checks syntax, DNS records, MX records, and performs SMTP verification to determine if an email address is deliverable, risky, or invalid.

Enrichabl supports waterfall email validation using multiple providers (BounceBan and Mailveri). Select the leads you want to validate, choose your validation provider, and start the batch process. Results typically show deliverable, risky, invalid, and catch-all classifications.

Remove or flag invalid emails immediately. Sending to invalid addresses hurts your sender reputation and email deliverability. Keep deliverable addresses, review risky ones manually, and remove invalid ones from your outreach lists.

Step 3: Enrich with AI

AI enrichment is the most powerful step. Create custom AI columns that use large language models (OpenAI GPT-4, Google Gemini) to research your leads and extract specific data points.

Common AI enrichment columns include: a personalized first line for cold email, company description summary, recent company news or funding, estimated company size, services offered, and technology stack. You can create any custom column by writing a prompt that describes what data you want.

For even richer data, chain web scraping with AI analysis. Use Firecrawl to scrape a lead's company website, then feed that scraped content into an AI column for analysis. This combination lets you extract real-time company intelligence that no static database can provide.

Step 4: Export Your Enriched Data

Once enrichment is complete, export your enriched CSV. You'll have your original data plus all the new columns you've added through validation and AI enrichment.

Import the enriched CSV into your CRM or cold email tool (Instantly, Smartlead, Lemlist, etc.). Use the enriched data to segment your leads, personalize your messaging, and prioritize your outreach based on lead quality signals.

Frequently Asked Questions

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