What is GDPR?

The General Data Protection Regulation (GDPR) is a European Union law that sets rules for collecting, using, storing, and sharing personal data. It gives people stronger rights over their information and requires organizations to handle that information lawfully, transparently, and securely.

Key Facts

Also known as
General Data Protection Regulation, Regulation (EU) 2016/679
Categories
Data management, Analytics
Relevant for
Data, IT, Marketing, Product, UX/UI, Ecommerce

Definition

GDPR applies to organizations established in the EU and can also apply to organizations outside the EU that offer goods or services to people in the EU or monitor their behavior there. It has applied since 25 May 2018 and is designed to harmonize data protection rules across Europe.

The regulation covers “personal data” broadly. That can include obvious identifiers such as a name or email address, but also online identifiers such as an IP address or cookie identifier. GDPR obligations include having a lawful basis for processing, being clear about how data is used, protecting it appropriately, keeping records where required, and supporting people’s rights to access, correct, object to, export, or delete their data.

GDPR is not the same thing as a consent banner, a privacy policy, or a certification. Those can be parts of a broader compliance program, but organizations still need to assess their processing activities, responsibilities, contracts, security measures, and user-facing practices.

What does that mean

Think of GDPR as a set of ground rules for information about people. Before using that information, an organization should know what it is collecting, why it needs it, how it protects it, and how it will respond when a person asks about it.

Why this matters

Understanding GDPR helps teams make better decisions about digital measurement and customer experiences without treating privacy as an afterthought. Data and IT teams focus on governance, security, and requests; product, UX/UI, marketing, and ecommerce teams need clear boundaries for the data used to improve journeys and communications.

Use cases

Design privacy-conscious digital measurement

Digital teams often need behavioral data to understand friction, but collecting more data than necessary can create avoidable privacy and governance risk. Data and IT teams can map what is collected, define the purpose and lawful basis, minimize personal data, and configure masking or blocking controls before analysis begins. This creates a clearer measurement setup with less unnecessary exposure and better documentation for internal review.

Respond to data subject requests

People may ask an organization to access, export, correct, object to, or delete personal data. Data and IT teams can connect their request-handling process to a record of what systems and processors hold, use, or retain relevant data, then follow the organization’s verified legal and operational procedures. The expected benefit is a more consistent and timely response process, with fewer gaps between privacy operations and analytics systems.

Use behavioral insight while protecting anonymity

Product and UX/UI teams need to see where users hesitate, encounter errors, or abandon a journey, but they do not need to see people’s payment details or other identifying information. Privacy-conscious analytics can use aggregated or anonymous data and masked session evidence to reveal patterns without exposing unnecessary personal details. That makes it easier to improve experiences while keeping privacy safeguards visible in the workflow.

See it in practice

TomTom linked its use of Hotjar by Contentsquare to privacy and user anonymity requirements. The customer story says its team received detailed answers to security questions before adoption, then reports a +491% increase in email click-through rate and a +49% increase in landing-page conversion rates after using behavioral insights.

How Contentsquare helps

  • Session Replay automatically masks personal information such as card and bank details, helping teams inspect important moments without exposing those details in the replay.

  • Smart Capture supports analysis of anonymous, aggregated interaction data, helping teams investigate behavior while reducing reliance on directly identifying information.

  • Contentsquare and GDPR explains customer responsibilities, processor responsibilities, data-blocking options, support for individual-rights requests, and the role of a Data Processing Agreement.

FAQs on GDPR

  • GDPR stands for General Data Protection Regulation. Its formal legal name is Regulation (EU) 2016/679, the EU regulation that governs the processing and protection of personal data.