Ecommerce operators must adapt to evolving data privacy landscapes by transparently incentivizing consumers for their data. This episode provides a roadmap for leveraging ethical data monetization strategies, moving beyond traditional analytics to build trust, refine targeting, and gain a competitive edge. Learn how to proactively utilize mobile and browser data for precise attribution and enhanced customer relationships.
Walter Harrison is the CEO of Tapestri, an app allowing consumers to earn money from their data. He is also the Co-founder and CRO of Complementics, a mobile audience network that manages national and international data. With over 15 years of experience in ad technology, data monetization, and product development, Walter has worked with major Fortune 500 clients across various industries. As an ambitious serial entrepreneur, his previous product reached five million users. In this episode… With popular apps like TikTok and Instagram gathering data with each use, younger consumers have become accustomed to a lack of privacy. However, the widespread adoption of privacy regulations allows consumers to refuse certain types of data collection. How can you target audiences with granularity while facilitating consumer transparency? Data pro and app builder Walter Harrison has developed an app that pays consumers for personal data collection. This allows users to govern their monetized information and incentivizes them to permit activity tracking on apps and websites. Similarly, e-commerce stores can build an audience by targeting potential customers on corresponding sites and social platforms, cultivating security and trust, and rewarding them for data-sharing. Walter recommends gathering data from mobile apps or website browsers for precise attribution. In today's episode of the Up Arrow Podcast, William Harris hosts Walter Harrison, the CEO of Tapestri, to discuss how e-commerce sites can leverage data monetization. Walter addresses the role of cryptocurrency in data monetization, the various types of consumer data, and how to analyze data proactively.