Audience Modeling Webinar Re-cap

HomeInsightsBlogs | Last Updated August 4, 2021 - by bradley kossmann under data science & analytics

Published onSeptember 15, 2020

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
  • Building segments from on-site data
Bradley Kossmann

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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