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Leverage your loyalty program to capture insights directly from your customers – like preferences, desires, and intentions, to tailor uniquely personalized communications.
Rated #1 for Loyalty on G2
Zero-party data is the data that customers willingly share with you, and captures details like their preferences, interests, and future intentions. This valuable information is directly collected using methods like surveys, polls, and direct communication.
Customers willingly share their preferences directly with brands they trust, especially in exchange for value, like loyalty points.
The most accurate type of data comes directly from your customers. Give them a way to share their personal characteristics product preferences.
Mobilize insights from zero-party data to enhance recommendations, refine your product offerings, and gain a deeper understanding about your customers.
Your loyalty program is the most effective way to collect zero-party data. Exchange loyalty points for data and offer a more tailored experience to your customers based on their responses.
83% of consumers are willing to share their data to enable a personalized experience. Be transparent about how you use their data to better serve them.
Ask for the right information so you can communicate with more relevance and enhance customer satisfaction.
With minimal investment, use zero-party data to become the hyper-relevant brand that customers connect with.
USING ZERO-PARTY DATA
Before you collect zero-party data, create a strategy to segment your data so you can use it to deliver hyper-relevant communications on auto-pilot.
USE CASES
The INKEY List, a skin care brand, rewards loyalty members for taking its skin quiz, enabling personalized product recommendations based on customers’ skin types.
Lace Laboratory, an underwear brand, uses quizzes to gather insights about customers’ style inspirations, preferred underwear for different occasions, and purchasing behaviors.
Edgar Cooper incentivizes customers to complete their pet profile, collecting crucial data like age, breed, flavor preferences and dietary needs to customize recommendations and communications.
