Using Predictive Analytics to Manage Risk and Capture Opportunity

Hosted by
Heather Holst-Knudsen
Predictive analytics is a valuable tool for revenue generation. By analyzing past data and trends with current data, you gain control over revenue outcomes.


2023 Report: The State of Data-Driven Revenue Growth in Digital Information, Media & Events


Predictive analytics and business intelligence are two different technologies used to generate more revenue. While both technologies can analyze past data and trends, BI is for diagnosis, while predictive analytics is for probabilistic outcomes. 

Predictive analytic models use historical data and predictive models to create statistically-supported projects about future behavior patterns and outcomes. Impact on revenue can include:

  • Identify new customers, markets and ways to generate revenue
  • Cross-sell new products by identifying combinations that would appeal to current customers
  • Understand customer behavior including preferred packaging and pricing models
  • Predict changes in demand and pivot as required
  • Identify pricing optimization opportunities
  • Predict churn risk, enabling you to proactively address before loss of revenue occurs

What We Will Cover

  • Data and assumptions required to drive successful predictive analytics
  • How to weigh the costs and benefits of predictive analytics versus other alternatives such as CRM forecasting, gut instinct, and STLY
  • How to change behaviors so predictive analytics aren’t just data sets
  • Pitfalls to avoid

Why You Should Attend

  • Identify and action pipeline risk 
  • Identify and action customer churn risk
  • Optimize product packaging and pricing
  • Improve sales processes and skills
  • Reduce costs, improve unit level profitability
  • Provide precise, predictive and prescriptive forecasts in team, board and investor meetings

What You Will Take Away

  • BOOTCAMP PLAYBOOK: Using Predictive Analytics to Manage Risk and Capture Opportunity
  • BOOTCAMP PRESENTATION: Discussion Presentation and Q&A Highlights

Who Should Attend

CEOs, CROs, CCOs, CMOs, CFOs, COOs, VP Sales, Publishers, VP Revenue Operations, VP Sales, VP Finance, VP Subscription Revenue, VP Advertising Revenue, VP Events