Definition
Data intentionally and proactively shared by the user (e.g., via onboarding quizzes, surveys, or settings). Unlike inferred data, zero-party data is highly reliable and ideal for powering personalized paywalls and pricing.
Zero-Party Data Collection Rate = Users Who Complete Survey / Users Who See Survey x 100. Personalization Lift = Personalized Conversion Rate / Generic Conversion Rate - 1.
Keep it to 2-3 questions during onboarding, framed as personalization ('Help us customize your experience'). Make each question feel valuable to the user, not just to you. Use visual selectors (tap icons) instead of text inputs. Most users willingly share if the benefit is clear.
First-party data is observed (session behavior, feature usage, purchase history). Zero-party data is explicitly shared by the user (goals, preferences, survey responses). Zero-party is more reliable for understanding intent; first-party is more abundant for understanding behavior. Use both together.
Personalize everything: paywall headlines matched to goals, content recommendations matched to preferences, push notification timing matched to stated availability, and pricing emphasis matched to value priorities. The ROI is immediate and compounds — personalized experiences retain better long-term.
Botsi automatically shows the right price to every user. Stop guessing and start growing.