Glossary

Zero-Party Data

Data that customers intentionally and proactively share with a brand — preferences, goals, and intentions. The most accurate and privacy-compliant form of customer data available.

Zero-party data is information that customers deliberately and proactively share with a business — their preferences, stated intentions, personal goals, and explicit feedback. The term was coined by Forrester Research to distinguish intentional sharing (zero-party) from behavioral observation (first-party) and purchased or inferred data (second and third-party). A gym member who fills out a goal-setting form telling you they want to lose weight and prefer morning classes is providing zero-party data. It is more accurate than any behavioral inference because the customer told you directly.

Why It Has Become So Valuable

As third-party cookies disappear, privacy regulations tighten, and consumers become more aware of data practices, zero-party data has emerged as the gold standard of customer intelligence. It requires no inference or assumption — you know exactly what the customer wants because they told you. It is inherently privacy-compliant because the customer chose to share it. And it enables a level of personalization that behavioral data alone cannot achieve — because you are responding to stated intentions, not inferred ones.

How to Collect It

Zero-party data is collected through: goal-setting and preference forms during onboarding (what results are you looking for? how often do you plan to come?), ongoing surveys and feedback requests, interactive content (quizzes that recommend the right membership tier or class type), preference centers where customers choose their communication preferences, and conversational touchpoints where customers are invited to share their goals and needs. Each of these collection moments also serves as an engagement touchpoint — building relationship while gathering intelligence.

Using Zero-Party Data for Personalization

Zero-party data enables the most precise personalization possible. A member who told you they are training for a half-marathon should receive different content, offers, and class recommendations than one who told you they want to lose weight for a wedding. Marketing automation platforms that can store and act on zero-party data attributes enable this level of individual-level relevance at scale — making every customer feel like your communications were designed specifically for them.

Ready to Put These Concepts Into Practice?

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