Case

Driving Verizon’s Data-Driven Marketing Strategy

CVM helped Verizon define and execute a data-driven marketing strategy, enabling more personalized campaigns, better measurement, and a scalable foundation for future AI-driven initiatives.

Problem


Verizon's marketing organization faced growing pressure to make its campaigns more intelligent, personalized, and measurable — but its existing approach lacked the strategic and operational alignment to get there.

Key challenges included:

  • Marketing decisions were often made without consistent use of customer data or performance feedback
  • Campaigns were segmented, but not truly personalized to behavior or lifecycle stage
  • Measurement approaches varied across teams, limiting optimization and learning
  • Disconnects between internal teams and agency partners created execution inefficiencies
  • No unifying roadmap for how data and AI could improve targeting and campaign performance

Verizon needed a cohesive strategy to evolve its marketing from fragmented execution to a data-first, insight-driven program.

Solution


CVM partnered with Verizon and agency stakeholders to define and implement a strategic roadmap for data-driven marketing — one that integrated advanced analytics, predictive modeling, and cross-channel personalization into everyday decision-making.

Key initiatives included:

  • Defined the Marketing Data Strategy
    Developed a framework to use customer data more effectively across campaign planning, audience targeting, and creative development.

  • Introduced Predictive Targeting Models
    Proposed and implemented models that scored customers based on their likelihood to respond, convert, or churn — powering smarter segmentation and personalization.

  • Aligned KPIs and Measurement Approaches
    Helped unify marketing performance metrics across channels and teams, enabling clearer attribution and more effective campaign optimization.

  • Supported Organizational Buy-In
    Engaged stakeholders across Verizon’s marketing and analytics groups to align on goals, share learnings, and ensure adoption.

  • Built for Scalability and Iteration
    Emphasized a phased delivery model — starting with high-impact pilots, demonstrating ROI, and building momentum for broader transformation.

CVM served as both a strategic advisor and an implementation partner, ensuring that recommendations were both actionable and grounded in Verizon’s operational reality.

Impact


  • Verizon established a more unified, data-driven marketing strategy across internal and agency teams.
  • Campaigns became more targeted and effective, with predictive models improving segmentation and response rates.
  • Measurement and reporting became more standardized, enabling faster insight generation and optimization.
  • Stakeholders across the organization gained confidence in using data to guide marketing strategy and execution.
  • The foundation was laid for continued innovation, including future use of AI and machine learning in campaign development.

Key Takeaways


  • Strategy Comes Before Scale: A clear roadmap and shared vision are essential for any large-scale marketing transformation.
  • Cross-Team Collaboration Accelerates Adoption: Success required alignment between internal marketers, analysts, and agency partners.
  • Pilot, Prove, and Expand: Starting with targeted initiatives helped Verizon demonstrate early wins and build buy-in for broader change.

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