Data enrichment has become essential to better segment, personalize, and activate marketing actions. But in 2025, most enrichment techniques used by companies — massive scraping, uncontrolled email matching, non-compliant tools, illegal cookies — directly expose organizations to GDPR risks: fines, damaged reputation, loss of trust, or simply operational inefficiency.
The real question is no longer “Can we enrich data while staying compliant?” but rather “How can we do it intelligently, legally, and sustainably?”
Good news: today, there are methods, tools, and practices that allow you to improve the quality and depth of your data without ever violating GDPR. Even better, compliance becomes a competitive advantage: cleaner, more reliable, better-documented, and better-exploited data.
This expert HubSpot article guides you step by step to understand:
what GDPR actually allows (and forbids) when it comes to enrichment
compliant and effective methods to improve your data
safe tools to use (and those to avoid)
common mistakes that lead to sanctions
best practices to prove and secure compliance
The goal: enable you to enrich your data in a high-performance, responsible, and 100% GDPR-compliant way.
Data enrichment consists of completing and improving the information already present in your CRM or marketing tools. The objective is to better segment, personalize, and qualify your prospects. Two approaches coexist.
Internal enrichment
Using your own data (email interactions, web journeys, purchase history, etc.). This is the most compliant method because it relies on data already collected within a legal framework.
External enrichment
Adding data from third-party sources (AI tools, B2B databases, external APIs, partners). This is possible but regulated, since you are adding data you did not originally collect.
We also distinguish:
Behavioral data (page views, clicks, engagement): usable only if a legal basis exists, most often consent
Personal data (name, email, phone number, job title): enrichment requires transparency and justification because it directly identifies a person
Finally, the B2B vs. B2C context significantly changes the level of risk:
In B2B, professional data is less sensitive but still considered personal data if it identifies an individual
In B2C, requirements are much stricter: consent, purpose limitation, and full transparency
To enrich a contact database in compliance with GDPR, seven principles must be respected. They are not theoretical — they directly guide what you can and cannot do.
Legal basis: you must be able to justify data collection or enrichment (explicit consent, legitimate interest, contract execution, etc.)
Transparency: individuals must be informed about the origin of added data and how it is used
Proportionality: only data that is truly useful for the declared purpose may be added
Data minimization: enriching data “for convenience” or “just in case” is prohibited
Accuracy: enriched data must be correct, up to date, and regularly verified
Limited retention: enriched data must be deleted when no longer needed
Security: encryption, restricted access, internal procedures, compliant tools
In short: enrichment is allowed, but never without a legal basis, transparency, and proportionality.
Some methods are still common but non-compliant or illegal.
Mass scraping without notice
Email matching with third-party databases without informing individuals
Cookies or trackers without consent
Purchasing databases, even with “guaranteed opt-in”
Undisclosed profiling or predictive segmentation
The safest and most compliant enrichment relies exclusively on first-party data — data collected directly from users.
Three main categories exist.
Declarative data
Data voluntarily provided by users via forms, preferences, progressive profiling, or surveys.
Consented behavioral data
Signals from websites, emails, or apps collected only after consent: navigation, clicks, product journeys, email engagement.
Customer interaction data
Sales notes, support exchanges, surveys, and purchase history.
First-party data ensures compliance, accuracy, and long-term value.
When adding more granular or third-party data, explicit consent is the safest option.
Consent must be specific, explicit, separate, and reversible. Users must clearly understand how and why their data is enriched.
You must be able to prove when consent was given, what it covered, and through which mechanism.
Typical compliant use cases include newsletters, gated content, webinars, ABM programs, and premium resources.
Legitimate interest is allowed but strictly framed.
It applies only if the data is non-sensitive, expected in a B2B context, low-impact, and if users can easily exercise their rights.
It cannot be used to enrich B2C profiles, collect new contact details, or perform undisclosed profiling.
A documented balancing test is mandatory and must be retained internally.
External enrichment is possible only with GDPR-compliant partners.
You must require clear documentation, a signed DPA, transparency on data sources, security measures, and defined retention periods.
Most commercial databases do not meet these standards.
Before adding any data, ask whether it truly serves a business, marketing, or product purpose.
If not, do not collect it.
Quality and accuracy matter more than volume. Too much data leads to complexity, legal risk, and loss of trust.
Every enrichment must be accompanied by clear information on purpose, legal basis, user rights, and data usage.
Your privacy policy must detail data sources, partners, processing activities, and retention periods.
Transparency builds compliance, trust, and better data quality.
Proper anonymization removes data from GDPR scope and enables broader analysis. Poor anonymization creates re-identification risks.
If data can still be linked to a person, it remains subject to GDPR.
CRMs, CDPs, and first-party analytics tools provide the safest enrichment framework when configured correctly.
They allow traceability, lifecycle control, and compliant segmentation.
Privacy-first providers must demonstrate clear legal bases, EU hosting, DPAs, transparent sources, and rights management.
If a provider is vague, it is a risk.
Non-compliant US tools, LinkedIn scraping extensions, and opaque data brokers expose companies to high legal risk and should be avoided.
The GDPR applies fully in B2B whenever data identifies a physical person.
Enriching data without a legal basis, without informing individuals, or retaining obsolete data are among the most frequent violations.
Document every enrichment activity
Perform DPIAs when required
Govern subcontractors strictly
Train marketing and sales teams
To enrich data without violating GDPR:
Collect less, collect better
Be transparent
Use compliant tools
Document everything
Validate legal bases
Control subcontractors
Train teams
The goal is not to stop enrichment, but to make it a responsible, legal, and sustainable performance lever.