How AI is Helping Us Understand and Streamline Messy Customer Data
Mar 12, 2024
auto_awesome
Barry Padgett, CEO of Amperity, discusses how AI streamlines messy customer data for large companies. Topics include managing disparate marketing tools, data quality, privacy regulations, and enhancing customer experiences. The conversation also touches on challenges of data management, future AI impact on marketing strategies, and the importance of innovation.
Using AI to unify customer data from different sources is crucial for improving customer experiences and marketing strategies.
Shifting towards a first-party data strategy and leveraging AI can help companies adapt to the changing landscape post-cookie deprecation.
Deep dives
The Impact of Cookie Deprecation on Data Management
With Google announcing the deprecation of cookies, the podcast discusses how this change will affect marketers, likening it to a gradual dimming of lights in a room. The episode highlights the importance of a unified customer data platform like Emperity, using AI to create a cohesive view of customer data across different tools and systems. The move towards a first-party data strategy is emphasized as a solution to the diminishing efficacy of third-party cookies.
The Role of AI in Customer Data Unification
Barry Patchett, CEO of Emperity, explains the essential role of AI in unifying customer data from various sources, addressing challenges like multiple identifiers and biases in data matching. Emperity's use of AI and machine learning, backed by patents, helps manage the complexity of vast customer datasets, enabling more accurate data aggregation and customer identification.
Enhancing Customer Experiences Through Unified Data
The podcast delves into the significance of leveraging AI to improve customer experiences by creating a seamless data integration across marketing tools. Emperity's platform acts as a universal connector, allowing different systems like customer loyalty, sales, and support to collaborate effectively and provide a holistic view of customer interactions.
Future Trends in AI and Marketing
The episode explores the evolving landscape of AI in marketing, predicting a generational reboot in Martech and Adtech post-cookie deprecation. AI's potential to augment human efforts, drive mass personalization, and enhance service interactions is discussed, showcasing a transformative shift towards AI-driven customer experiences and improved marketing strategies.
Barry Padgett is CEO of Amperity, a company using AI to solve this problem: large companies now have lots and lots of marketing data, but it is all coming from different systems and services. That means you might have info about a customer in different places across your portfolio, without the ability to integrate that data to get a more complete understanding of that customer. Especially as access to third party data diminishes, Padgett explains how the company can help big retailers and more streamline their information and ultimately improve customer experience.