Imagine knowing exactly what your customers want, without relying on hidden tracking scripts or pricey data vendors. Picture a world where your audience happily shares their favourite styles, budget ranges and communication preferences simply because you’ve offered genuine value in return. That’s the promise of zero-party data: insights customers proactively volunteer, enabling privacy-safe, one-to-one personalisation that feels like magic.
In a privacy-first world, understanding what zero-party data is no longer optional—it’s essential. By swapping intrusive tracking cookies for clear, consent-driven exchanges, you build deeper trust and unlock the power to deliver truly relevant experiences. Ready to learn how to gather, govern and activate zero-party data? Let’s dive in.
What is zero-party data?
Zero-party data is information that a customer intentionally and willingly shares with your brand in exchange for clear value. Unlike first-party data that’s inferred from behavior or third-party data bought from external sources, zero-party data is:
- Explicit – shared directly by the customer
- Accurate – fully consented, no guesswork
- Contextual – rich with personal preferences and intent
Common types of zero-party data include:
- Preferences: favourite categories, styles, or topics
- Purchase intentions: planned buys, budgets, or timelines
- Personal context: demographics, life events, or use cases
- Communication settings: preferred channels, frequency, or formats
This kind of data empowers brands to recognise customers on their terms, making personalisation more respectful, relevant, and effective.
Zero-party data vs first-party data vs third-party data
| Category | Zero-Party Data | First-Party Data | Third-Party Data |
| Definition | Data intentionally shared by users | Data collected directly from user interactions with your platform | Data collected by an entity not directly interacting with the user |
| Source | Direct user input (e.g. forms, surveys, preferences) | Website analytics, purchase history, app usage | External data brokers, ad networks, other websites |
| User Awareness | Fully aware and willingly provided | Often implicit but within the same platform | Typically unaware; no direct user relationship |
| Example Data | Product preferences, interests, communication choices | Browsing behavior, items added to cart, transaction history | Demographics, behavior across multiple unrelated websites |
| Ownership | Brand owns and controls the data | Brand owns and controls the data | Owned by third-party vendors or platforms |
| Accuracy | Highly accurate and relevant (user-provided) | Generally accurate (based on user activity) | Can be outdated or inaccurate |
| Consent Level | Explicit consent | Implied consent | Often opaque, consent issues common |
| GDPR/Privacy Risk | Low (explicitly provided) | Medium (must be managed properly) | High (strict scrutiny under GDPR, CCPA, etc.) |
| Use Case | Personalization, product recommendations, loyalty programs | Retargeting, segmentation, performance analytics | Large-scale ad targeting, lookalike audiences |
| Examples | A user selects “dark theme” in a preference centre | You track a user’s visit to your pricing page | You buy a user segment list from a data marketplace |
Why are businesses collecting zero-party data?
Companies are ramping up their zero-party data strategy for five key reasons:
- Privacy-first compliance: Regulations like GDPR and CCPA demand transparent, consent-driven approaches. Zero-party data fits the bill perfectly.
- Trust and transparency: Inviting customers to share their preferences—and explaining how you will use them—builds goodwill and loyalty.
A recent Twilio study found that 81% of brands believe they understand their customers deeply, yet only 46% of consumers agree.
- Accurate personalisation: Self-reported preferences remove guesswork. If someone opts in to mobile alerts, you can tailor every campaign accordingly.
- Cost efficiency: No licensing fees, minimal data cleansing and full ownership make zero-party data a budget-friendly asset.
- Stronger customer relationships: A fair value exchange—discounts, loyalty points, exclusive access—turns data collection into a delightful experience. In fact, brands using L’Oréal’s Routine Finder quiz saw order values increase by 134% after collecting preferences via self-reported surveys.
How does zero-party data relate to cookies?
Zero-party data is fundamentally different from data collected using cookies. Cookies, especially third-party cookies, track user behavior across websites, often without the user’s full awareness, to fuel advertising and analytics. In contrast, zero-party data is information customers willingly and intentionally share with your brand, such as through surveys, quizzes, or preference centres.
As privacy laws become stricter and browsers phase out third-party cookies, companies can no longer rely on passive tracking to understand their audience. This shift is often called the move toward cookieless marketing. Zero-party data fills this gap by providing consent-based, transparent, and highly accurate information directly from the customer without tracking scripts or background surveillance.
This approach not only helps brands stay compliant with regulations like GDPR and CCPA, but also builds trust with customers, who appreciate knowing exactly what data they’re sharing and why. With zero-party data, personalisation becomes both privacy-friendly and more relevant, helping brands deliver experiences that feel genuinely tailored, without crossing privacy boundaries.
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How to collect zero-party data?
Collecting zero-party data should feel natural and mutually beneficial. When the experience is smooth and value-driven, users are more likely to share their preferences. Here are five practical ways to make it work:
1. Use interactive quizzes and surveys
- Keep it short: Limit to 4–6 quick questions.
- Make it visual: Use sliders, icons, or image-based options.
- Reward immediately: Offer personalised suggestions, discounts, or useful results.

2. Set up a clear preference centre
- Simple dashboard: Let users easily update topics, communication channels, and frequency.
- Easy access: Add links in the site footer, account menu, or emails.
- Gentle reminders: Use timely nudges to remind people.
3. Optimise forms with optional fields
- Add value: Ask for relevant preferences during sign-up or checkout.
- Respect choice: Clearly mark fields as optional.
- Profile progressively: Build deeper profiles gradually over time.
4. Use tools and calculators that offer value
- Solve a problem: Tools like planners or recommendation quizzes can capture data meaningfully.
- Personalise results: Share tailored content or suggestions based on inputs.
5. Leverage polls and live Q&As
- Quick polls: Use platforms like Instagram or LinkedIn to gather basic preferences.
- Interactive sessions: Use webinars or Q&As to invite feedback, then follow up with more detailed surveys.
Tip: Always connect data collection to a clear benefit, like exclusive access or instant savings, to build trust and encourage participation.
Building a zero-party data strategy
A strong zero-party data strategy includes four key steps:
1. Define goals and value exchange
- Know your objective: Are you collecting data for personalisation, segmentation, or loyalty programs?
- Offer something meaningful: This could be early access, a discount, or a custom report.
2. Design seamless touchpoints
- Embed light-touch data collection at key points:
- Onboarding
- Emails and pop-ups
- Post-purchase journeys
- Account settings
- Onboarding
Keep it brief and mobile-first.
3. Choose the right platform
Look for a solution that:
- Enables branded quizzes, surveys, and preference centres
- Centralises consent and preference signals, e.g. CookieYes
- Integrates with your CMS, CDP, or marketing tools
- Simplifies compliance with GDPR and CCPA
4. Activate the data
- Feed insights into your customer data platform.
- Combine with behavioural data to enrich profiles.
- Trigger personalised campaigns across email, web, ads, and loyalty channels.
Zero-party data use cases
- Email personalisation: tailor subject lines and content blocks to declared interests.
- On-site personalisation: dynamically adjust banners and product recommendations.
- Paid media targeting: use direct preferences in ad platforms to reduce wasted spend.
- Loyalty programmes: offer rewards aligned to each member’s stated preferences.
Measuring success and optimisation
Track these KPIs to refine your approach:
- Participation rate: quiz and form completions
- Data quality: accuracy and completeness
- Engagement uplift: email opens, clicks, session duration
- Conversion impact: revenue from personalised campaigns
Continuously A/B test incentives, questions and placements to maximise both data yield and customer satisfaction.
Best practices for zero-party data collection
- Be transparent: explain why you collect data and how customers benefit.
- Keep it concise: ask only what directly supports your personalisation goals.
- Offer immediate value: ensure each request delivers a clear reward.
- Respect preferences: honour opt-ins, channel choices and updates without friction.
- Maintain compliance: securely store consents and enable easy opt-outs.
Zero-party data is the foundation of privacy-first personalisation. By inviting users to share meaningful preferences and rewarding them fairly, you build trust, improve targeting accuracy, and remain compliant.
Next steps: Build seamless data touchpoints, use a unified platform like CookieYes, and activate zero-party insights to create lasting customer relationships.
FAQ on zero-party data
Difference between zero-party and first-party data are:
- Zero-party data is information that customers intentionally and proactively share with a brand, such as preferences, interests, purchase intentions, and feedback, often through surveys, quizzes, or preference centres.
- First-party data is information collected by a company based on customer interactions with its channels, such as website visits, purchase history, app usage, and email engagement.
“Zero data” refers to zero-party data, which is data a customer intentionally shares with a brand for a specific benefit, such as personalised recommendations or offers. It is not inferred or observed but given directly and willingly by the user.
Examples include:
- Answers to surveys or quizzes about preferences
- Product or content preferences submitted via forms
- Stated purchase intentions
- Communication preferences (e.g. preferred contact method or frequency)


