Chapter 1 – How to enrich my leads’ datas ?

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Introduction

Lead enrichment is one of the most critical steps for running targeted outreach.

Without it, you’re either guessing who your leads are or working with incomplete lists that don’t give you enough context to craft personalized messages. Enrichment solves this problem by filling in the gaps with accurate profile and contact data.

When you enrich a lead, you’re not just adding an email or LinkedIn profile, you’re uncovering key information like job title, seniority, company size, location, tech stack, or even recent activity. With this level of detail, your outreach becomes far more relevant because you can tailor your message to what actually matters to that person and their company.

The difference is simple: instead of sending a generic message to a random contact, enrichment ensures every message feels like it was written specifically for them.

How does it works ?

Enrichment tools search public and proprietary databases to complete lead profiles. These tools match partial information like an email, name, or domain with data from:

Public records, social media, company sites
Behavioral signals, trackers, and opt-in platforms
Third-party data providers

This can return:

Full name, job title, and company
Company size, industry, and location
LinkedIn & social media profiles
Additional insights depending on the provider

For example: With only [email protected], an enrichment tool could return:

👉 John Doe, Head of Growth at Example Corp, Paris, LinkedIn: linkedin.com/in/johndoe

You now have enough context to craft a message tailored to John’s role, company size, and location, instead of a generic template.

How does email enrichment works ?

Most B2B email enrichment tools guess the professional email using common formats. For example, if they know:

Name: John Smith
Domain: example.com

They’ll try common permutations like:

These are tested via:

SMTP verification (checking if the email server accepts the address)
Historical success patterns per domain
Comparing against internal datasets or known valid patterns for that domain

If the tool only has a personal email or no email at all, it may triangulate data using:

LinkedIn profiles (via scraping or APIs)
Company websites (looking for team pages with names and roles)
Github, Twitter, or other platforms where a name and company appear together

From this, it might infer:

The person’s role
The company domain
Potential professional email

Some tools (like People Data Labs, FullContact, or Apollo) access massive identity graphs, databases that connect personal identifiers (like a Gmail address or phone number) with professional ones using:

Cookies and online trackers
Public social profiles
Purchases, app signups, newsletters

They resolve [email protected] to a LinkedIn profile, which then gives:

Employer
Role
Company domain

They then enrich from there, just like with a professional email.

Some enrichment tools (especially free Chrome extensions or email finders) collect behavioral data from users who’ve opted in. That includes:

Which email formats worked in past searches
Which emails users clicked on or copied
Which LinkedIn pages were visited with which emails

This “crowdsourced” data helps them improve guessing and matching for others.

These methods often work best for public-facing professionals (sales, marketing, founders). Enrichment without a professional email is less accurate and sometimes relies on inferred data, not direct lookups.

Privacy regulations (like GDPR) may restrict some types of enrichment, especially if data is gathered without explicit consent.

Which tool to use for enrichment & email verification ?

Choosing the right data enrichment tool depends on your market, budget, and go-to-market motion.

Below is a selection of the most relevant providers, each with their strengths, weaknesses, and ideal use cases.

Clearbit

Data: Firmographics (size, industry, funding), contacts (emails, roles), technographics.
Strengths: Strong API, seamless integrations with CRMs/marketing tools, continuous refresh.
Weaknesses: Patchy EU coverage, expensive.
Pricing: Credit-based + subscriptions (mid-market/enterprise oriented).
Use case: CRM enrichment & marketing segmentation.

ZoomInfo

Data: Large global dataset (emails, phones, org charts, technographics).
Strengths: Excellent US coverage, rich depth (org charts, intent data).
Weaknesses: EU emails less reliable, very costly, dated UX.
Pricing: Licenses + credits (enterprise >$10k/year).
Use case: Large sales orgs, ABM strategies.

Apollo.io

Data: Emails, phones, firmographics, technographics.
Strengths: Great value for money, all-in-one prospecting + enrichment.
Weaknesses: Inconsistent EU SMB data, “catch-all” emails.
Pricing: Freemium to $5-10k/year.
Use case: SMBs, scale-ups building first outbound motion.

Kaspr

Data: Emails, phone numbers, LinkedIn scraping.
Strengths: Good EU focus, handy Chrome extension.
Weaknesses: Limited firmographics, scalability issues.
Pricing: Credit-based (≈ €500–1000/year for SMB teams).
Use case: SMB/midmarket sales & recruiting in Europe.

Dropcontact

Data: Emails (reconstructed + verified), legal info (SIRET, etc.), contact enrichment from name/domain.
Strengths: GDPR-first, highly reliable emails, EU-native.
Weaknesses: No phone numbers, no technographics.
Pricing: Credit-based, very affordable (~€0.10/enrichment).
Use case: CRM cleaning & enrichment in France/EU.

Cognism

Data: Emails, phones, intent data, strong EU focus.
Strengths: Unique EU phone number coverage, GDPR compliant.
Weaknesses: Expensive, mostly valuable for call-heavy teams.
Pricing: Enterprise-level ($10–50k/year).
Use case: Inside sales with heavy calling motion.

People Data Labs (PDL)

Data: Huge global dataset (emails, jobs, social profiles).
Strengths: Flexible API, developer/data team friendly.
Weaknesses: Raw data, requires cleaning/validation.
Pricing: Credit-based API.
Use case: Data-heavy use cases, custom enrichments.

Clay

Data: Aggregates via integrations (Clearbit, PDL, Crunchbase, etc.).
Strengths: Extreme flexibility, no-code workflows, multi-source enrichment.
Weaknesses: Steeper learning curve, depends on 3rd-party connectors.
Pricing: Credit-based + subscription (from ~$300/month).
Use case: Advanced outbound setups, layered enrichments.

Email verification / anti-bounce tools check if an email is valid, to avoid hard bounces and protect your domain reputation.

NeverBounce

One of the most reliable real-time verifiers.
Batch uploads or API.

ZeroBounce

Verifies emails and adds basic enrichment (e.g., “role-based”, “catch-all” flag).
GDPR-compliant.

Bouncer

Fast, accurate verifier with good integrations
Indicates catch-all status.

Mailboxlayer

Lightweight API for email validation.

You can also find Neverbounce / Zerobounce alternatives:

Debounce, EmailListVerify, and Kickbox are solid backups with similar features.

No single tool fits every situation: US-based enterprise teams may lean on ZoomInfo or Clearbit, while EU companies often prefer Dropcontact or Cognism. For advanced workflows, Apollo, Clay, or API-first solutions offer the flexibility to scale enrichment with precision.

How to use La Growth Machine enrichment to simplify your life ?

With La Growth Machine, you’re in full control to choose which leads to enrich, pick the level of enrichment: Email only, Lead data, or Full Enrichment. You can use your monthly enrichment credits or buy more as needed.

What data are you getting ?

Verified email addresses:

- Waterfall enrichment through 9 providers
- Double email verification to protect deliverability
- Email scoring: valid, risky, not found

Comprehensive lead data:

- name,
- gender,
- job title,
- company,
- website,
- industry,
- location
- and more soon…

How does it works?

Import Your Leads via CSV, CRM, LinkedIn import or create them manually
Select Leads to Enrich and choose all or only some leads based on your priorities.
Pick Your Enrichment Level

- Email only (5 credits) → Get a verified email
- Lead Data (1 credit) → Get profile info (title, company, location…)
- Full Enrichment (5 credits) → Get both email + profile info

How does LGM's emails enrichment works ?

La Growth Machine’s using cascade enrichment process, using 9+ providers, and 2 emails verifiers, to get you the best data possible, in the right order, step by step :

LGM starts with profile enrichment (based on LinkedIn URL):

First name
Last name
Company name
Company size
Location, industry, etc.

It then tries professional email enrichment:

Based on known naming patterns ([email protected], j.doe@…, etc.)

They proceed to test a lot of different permutations of the first name, last name, and company domain. For example, we’ll test :
- {{firstname}}.{{lastname}}@{{companydomain.com}}
- {{firstname}}@{{companydomain.com}}
- {{first.letter.of.firstname}}{{lastname}}@{{companydomain.com}}
- And so on…
Emails are pinged and verified by emails verifier tools

They ping the server to ask “Does this email exist within your database”. And the server will reply yes or no.

We evaluates the quality of every email and assigns a score: “valid”, “risky”, or “not found.”

A risky email is typically a catch-all address, meaning the company’s mail server accepts all emails sent to their domain, even if the specific address doesn’t actually exist.

Be aware there are some risks of using “risky” emails:

Higher bounce rates, since they’re unverifiable
Lower deliverability confidence, your message might land, or not

To keep your domain reputation clean and your reply rates high, we recommend focusing on “valid” emails for your campaigns.

The real goal of enrichment isn’t just to find emails, it’s to get fresh, accurate data that helps you:

Hyper-personalize your messages
Contact the right person at the right moment
Increase relevance = more replies = more meetings

Now, let’s move on to the next module : Automating my outreach!