Supercharge Revenue with Powerful Customer Profiles ft. Snowplow, AWS, & Census

Presented by

Donny Flynn, Customer Data Architect, Census

About this talk

Do you want to know the secret to supercharging your revenue? A complete and accurate 360 view of your customer’s behavior. This holistic understanding of your customers helps cross-functional teams make better product improvements, create targeted marketing campaigns, run personalized sales outreach messaging, and achieve so much more. In this hour-long panel discussion, data leaders Jim Lumsden (Data Lead @ Prolific), Mike Maloney (Field CDO @ Snowplow), Shashi Raina (Sr. Partner Solutions Architect @ AWS), and Donny Flynn (Customer Data Architect @ Census) will break down how to create a data-first culture to support and drive revenue like never before. We’ll discuss how, using real-world examples from the Prolific data team, Snowplow, AWS, and Census can help you drive more growth for your business by unlocking rich, unified, and accessible behavioral data across your organization. Faced with the need for high-quality, reliable data, Prolific’s data team built a technology stack to create complete Customer Behavioral Profiles, ensuring the rest of the organization could access actionable data to best engage with their customers. With Customer Behavioral Profiles (and the right data stack), you too can predict your user’s next best action and power your sales team with complete visibility into your customers’ interactions, which means higher sales conversions and revenue. Join us as we discuss: The importance of having a high-quality data-first culture How Prolific supercharged their sales team with product analytics How Customer Behavioral Profiles can empower your organization

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Harness the granularity and predictive context of behavioral data to create Customer Behavioral Profiles, and use it them to fuel advanced data-driven customer experiences. With behavioral data, you can create customer profiles that go beyond being a single view of a customer, and provide a richly contextual and predictive view of why they’ve made a particular decision, and what they are likely to do in the future. Learn how to: - Reach Customers more effectively: Make Data-first decisions about what campaigns to invest in to optimize your Return on Ad Spend - Better engage customer to win revenue: Serve more contextual personalized experiences than your competitors to win customers