Identify shoppers with Digioh, Connect with them using Klaviyo

Zero-party data is information customers choose to share with a brand, like their product preferences, goals, skin or hair type, sizing, budget, or whether they’re shopping for a gift. Brands usually collect it through quizzes, surveys, preference centers, and interactive pop-ups. Because customers share it directly, it’s accurate, consent-based, and useful for personalization right away.

Zero-party data: information customers intentionally share, like quiz answers or preference selections
First-party data: information a brand observes from customer activity, like purchases and pages viewed
Second-party data: another company’s first-party data, shared through a partnership
Third-party data: data aggregated from outside sources, often purchased

Zero-party data tells you what customers want in their own words, while first-party data shows what they’ve done.

Zero-party data helps brands personalize without relying on third-party cookies. It improves product recommendations, makes email and SMS segmentation more precise, and powers onsite experiences that adapt to each shopper. The result is higher conversion rates, better retention, and marketing that customers find more relevant.

The most effective way is to make sharing part of the shopping experience. Product quizzes, short surveys, multi-step pop-ups, and preference centers give shoppers something useful in return, like a product recommendation or a more relevant offer. Digioh lets you build all of these on your brand and sync every answer to your marketing stack in real time.

Not when the experience gives shoppers something in return. Quizzes and multi-step forms often convert better than single-field pop-ups because each step feels easy and the payoff is clear. With Digioh, brands often see 3x more opt-ins from multi-step forms and quizzes than from standard one-field pop-ups.

Zero-party data makes product recommendations and bundles more relevant. For example, if a skincare quiz shows that a shopper is focused on hydration, the results page can recommend a complete routine instead of a single product. IGK Hair used quiz data to recommend the right products together and increased average order value by 19%.