Ep 69: Declared Data and Product Matching with Jebbit & Pour Moi
DTC Podcast · with Tom Coburn and Ulli Haslacher · January 26, 2021 · 34 min
Summary
This episode reveals how direct-to-consumer (DTC) brands can leverage declared data to not only personalize customer experiences but also significantly reduce operational costs like product returns. Learn how interactive quizzes gather zero-party data, enabling precise product matching and boosting customer satisfaction and loyalty. This is a must-listen for any DTC operator looking to optimize their data strategy for immediate and long-term gains.
Key takeaways
Implement interactive quizzes to collect declared data, moving beyond traditional surveys for richer customer insights.
Utilize declared data for precise product matching and personalized recommendations to drastically reduce product return rates.
Integrate climate-smart technology or similar innovative approaches into your product development to address specific customer needs and market trends.
Focus on data activation, ensuring collected information directly informs product recommendations, customer experiences, and builds brand loyalty.
Understand the difference between declared, zero-party, and first-party data, and how to effectively use each to build a comprehensive customer profile.
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This week, we’ve got a combo platter pod! We’re chatting with Tom Coburn, the cofounder and CEO of Jebbit, a software tool that creates delightful, data-rich customer experiences that encourage consumers to provide information about themselves. Also joining us is Ulli Haslacher, the President of Pour Moi Skincare, a DTC challenger brand that utilizes unique climate-smart technology recently named one of the best inventions of 2020 by Time Magazine.
Listen to the podcast for: 📦 Insights on how you should be collecting and activating on declared data 📦 Why surveys just aren't cutting it anymore when it comes to data collection 📦 How a Jebbit quiz resulted in zero product returns for Pour Moi
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Implement interactive quizzes to collect declared data, moving beyond traditional surveys for richer customer insights.
What does this episode say about conversion & cro?
Utilize declared data for precise product matching and personalized recommendations to drastically reduce product return rates.
What does this episode say about customer retention?
Integrate climate-smart technology or similar innovative approaches into your product development to address specific customer needs and market trends.
What does this episode say about ai & automation?
Focus on data activation, ensuring collected information directly informs product recommendations, customer experiences, and builds brand loyalty.
What does this episode say about dtc strategy?
Understand the difference between declared, zero-party, and first-party data, and how to effectively use each to build a comprehensive customer profile.
