Financial Services
Data Science Unlocks Superior Sales Outcomes
Date & Time: June 4, 2025 | 11 am – 12 pm ET
In today’s competitive financial landscape, forward-thinking financial institutions are unlocking the value of their existing customer data to drive meaningful customer engagement and optimize sales strategies. Data Science is reshaping how financial leaders make critical decisions about where and how to invest their go-to-market (GTM) resources, ultimately leading to increased revenue growth and higher sales productivity and efficiency.
Join us on June 4, 2025 at 11 AM ET to learn about Alexander Group’s Data Science research findings and capabilities to help prioritize GTM initiatives such as:
- Drive Awareness & Engagement: Boost targeting accuracy with ML-powered ideal customer profiles and effectively prioritize sales efforts through advanced lead scoring
- 58% of financial services organizations are implementing data science models for lead prioritization
- Optimize Seller Productivity & Focus: Understand your serviceable obtainable market through elevated customer and prospect modeling
- 44% of financial services organizations are implementing data science models for market demand forecasting
- Improve Customer Experience & Lifetime Value: Predict and mitigate churn risk to improve customer retention and lifetime value; leverage next best offer modeling to drive expansion opportunities
- 52% of financial services organizations plan to invest in churn prediction models in 2025
Financial services organizations that successfully incorporate data science into their revenue strategies will create sustainable competitive advantages that will continue to add value over time.
Don’t miss this opportunity to network with your peers and gain valuable insights from the industry experts. Register now for the virtual roundtable.
We look forward to seeing you at the roundtable!