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73% of consumers are willing to share personal data in exchange for a personalized experience (Salesforce, 2025). The key is asking for it the right way.
With the death of third-party cookies, tighter GDPR enforcement and growing consumer distrust, companies need a data strategy that doesn't depend on intermediaries. This is where zero party data comes in: information the user gives you voluntarily, consciously and directly.
The term was coined by Forrester Research and is defined as:
"Data that a customer intentionally and proactively shares with a brand, including preferences, purchase intentions, personal context and how they want to be recognized by the brand."
The key word is intentionally. We are not talking about data inferred from user behavior (that is first party data), but information the user explicitly declares.
To understand the value of zero party data, you need to know the full spectrum:
| Type | Source | Consent | Example | Accuracy |
|---|---|---|---|---|
| Zero party | The user themselves, declared | Explicit and voluntary | "I prefer weekly emails about CRO" | Very high |
| First party | Behavior on your properties | Implicit (cookie acceptance) | Pages visited, products purchased | High |
| Second party | First party data from a partner | Contractual | Audience data shared between allied brands | Medium-high |
| Third party | External data aggregators | Indirect or nonexistent | Demographic segments bought from data brokers | Low-medium |
To make it clear what type of data we are talking about:
Declared preferences:
Purchase intentions:
Personal context:
Direct feedback:
Quizzes are the gold standard for zero party data. The user answers questions voluntarily in exchange for a personalized result.
Examples:
Typical quiz conversion rates: 30-50%, compared to 3-5% for a standard form.
Instead of a simple "subscribe / unsubscribe," offer a preference center where the user can choose:
Don't ask for all information at once. Use progressive profiling:
| Interaction | Data Requested |
|---|---|
| First visit | |
| Resource download 1 | Name + company |
| Resource download 2 | Industry + company size |
| Webinar | Role + budget |
| Demo | Challenges + purchase timeline |
Each interaction adds another piece to the puzzle without overwhelming the user.
Key moments to ask:
A well-designed chatbot collects zero party data naturally:
Game elements that incentivize data sharing:
Each interaction generates user-declared data.
When you ask for a review, you get:
Zero party data has a natural regulatory advantage: since it is shared voluntarily and consciously, it complies with GDPR principles almost natively. But "almost" is not "completely." You must ensure:
With preference data (topics, frequency, format), you can create hyper-personalized segments. The result: open rates 29% higher and CTR 41% higher than mass sends (Epsilon, 2025).
If a user declares their industry is "fashion ecommerce," you can:
Traditional lead scoring relies on behavior (first party). Adding zero party data such as declared budget, decision timeline and specific pain points multiplies scoring accuracy and improves marketing-sales alignment.
Responses to surveys and assessments reveal patterns that behavioral data alone can't capture. If 60% of your users say their biggest challenge is "measuring the impact of tests on revenue," you have direct input for feature prioritization.
| Metric | What It Measures | Target |
|---|---|---|
| Quiz/form completion rate | Engagement with collection mechanisms | >30% |
| Percentage of complete profiles | Depth of available data | >60% |
| Segmented open rate vs. unsegmented | Value of personalization | +20% minimum |
| Conversion of leads with zero party data vs. without | Pipeline impact | +15% minimum |
| NPS of personalized experience | User satisfaction | >50 |
In a cookieless world, the companies with the most direct and transparent relationship with their users will win. Zero party data is not just a legal compliance tactic: it is a business strategy that improves personalization, conversion and retention simultaneously.
Start simple: a preference center in your newsletter or a quiz on your site. Measure, iterate and scale. If you want to see how your website can improve its data capture and conversion, try Scan&Boost or talk to our CRO team.
Article written by Adrià Vidal, CRO and experimentation specialist at Boost. Want to improve your conversions? Request your free audit.
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