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.
Best practice is to use all three, of course. Facts, generalizations, and inferences are defined as personal data whenever they are attributed or attributable to a customer. They are regulated under laws such as GDPR in Europe and CPRA in California, so are rightly part of a conversation about customer data protection and privacy. Using […]
Life is a digital experience for most customers. Big as it already is, the importance of customer data continues to grow. We are told that “data is the new oil.” Some of the largest enterprises on Earth are founded on data such as Google, Amazon, Alibaba, Facebook, Netflix, Salesforce, Microsoft, and Oracle. Many of these big tech firms didn’t exist 25 years ago, making their success astonishing.
In this podcast episode, our VP of Intent Edge, Idan Arealy, sits down with Nicky Daniels from Innovation Martlesham to explore the relevance of mobile engagement and its role as a powerful differentiator for brands.
Telcos are at an inflection point. For years, they’ve faced mounting pressure from better-funded, more innovative tech competitors, and seen a return on investment, profits and market share slowly dwindle.