Verizon partners with Intent HQ to improve sector-leading churn prediction accuracy by up to 3.5%.
Challenge
Verizon already had a top-performing churn model, refined over two decades, but saw an opportunity for improvement by leveraging behavioral data and Intent HQ’s AI platform.
Results
The combination provided significantly more accurate churn predictions, which will improve Verizon’s ability to find and retain at-risk customers.
Accuracy improved by 3.5% in the highest-risk decile
Churn model accuracy improved by 2.1% in the top 3 deciles
Forecasted value over five years: $180 million
Verizon partners with Intent HQ to improve sector-leading churn prediction accuracy by up to 3.5%.
“I challenged the team to become ‘customer first’ by delivering exquisitely personalized services and experiences.”
Ronan Dunne
VP and CEO of Verizon’s Consumer Group
Operationalizing Churn Improvement
Verizon leads the U.S. wireless telecom market because it constantly innovates to maintain its competitive advantage and drive brand preference.
For a company generating annual revenues in excess of $100 billion and serving over 100 million customers with a range of voice, data, and video services, delivering better operational performance can be incredibly challenging.
But Verizon’s sustained success at the top of the U.S. wireless telecom market is due to their relentless drive to innovate and improve along all fronts, including customer acquisition, base management, and customer retention.
Getting a strong return on investment for your marketing activities shouldn’t be just about signing telecoms customers up for higher-tier plans or new services. In this sector, ensuring existing customers also feel engaged with their provider is also vital for long-term success.
Customers expect relevant communication. Each customer that makes up a brand’s customer base is a unique individual with various needs, expectations and pain points. To effectively communicate and support them, organizations must acknowledge their diversity, and act accordingly. Customer segmentation refers to the process of dividing customers into subgroups based on similar characteristics and variables […]
This is the dream: you put vast troves of data to work, accurately predicting each customer’s wants and desires, creating individually tailored marketing, sales, and service. You solve problems before they become problems. You operate like a nimble and personalised small business, but at massive scale. Your customers love you. Your competitors wither away.
AI is evolving at an unprecedented pace, reshaping industries and consumer relationships. At IESE’s Global Alumni Reunion, Jonathan Lakin, CEO of Intent HQ, shared insights into AI’s exponential growth, privacy-focused solutions like Edge AI, and the organizational challenges of adapting to autonomous systems. The future is here, are you ready to thrive?