You collect a tremendous amount of data about your customers, but are you using it to its full potential? In this webinar, our Data Science & Analytics team walks through our approaches and some case studies in the domain we call audience modeling – using your customer data to identify new audience segments for targeting or to predict an individual customer’s behavior. Enjoy!
Agenda
Introduction
What is audience modeling?
Approaches to audience modeling
Inputs & Outputs
Supervised Approaches to Audience Modeling
What is supervised learning?
What use cases are there for supervised learning for audience modeling?
Unsupervised Approaches to Audience Modeling
What is unsupervised learning?
Using clustering to identify marketing segments
Dimensionality reduction for customer data
Case studies
Persona-based targeting for premium product conversion
Persona indexing for brand affinity and personalization
Brad leads Softcrylic's Data Science & Analytics practice, a team whose capabilities span every stage of the analytical project lifecycle. He loves helping clients build data-driven cultures with engaging, powerful insights and analysis. Brad spends a little too much time dwelling on the problem of incrementality in digital marketing and the problem of AI alignment more generally.
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