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Telecom Marketing Playbook: How to Stop Wireless Switchers in Their Tracks

March 29, 2021
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Telecom Marketing Playbook: How to Stop Wireless Switchers in Their Tracks

What telecom marketers need to know about U.S. wireless consumers to ignite growth and prevent churn

92% of consumers use their phones to communicate with friends and family. A little over a year ago, you might’ve said “yeah, and?” to that insight. Then, all of a sudden, our mobile phones became our sole connection to the outside world. When humans are disrupted, we seek control by re-evaluating our choices — including the products and services that support our now rocked lifestyles. As consumers consider their wireless carrier satisfaction, Resonate’s real-time and granular insights are your telecom marketing secret weapon for preventing churn, fostering loyalty, and acquiring new customers.

1 in 5 U.S. mobile phone customers plan to switch wireless carriers in the next year, according to the Resonate Ignite Platform™

1 in 5 U.S. mobile phone customers plan to switch wireless carriers in the next year, according to the Resonate Ignite Platform™

To gain, keep, and grow consumer relationships, you need to know where your telecom brand’s customers—and those of your competitors—stand today.

The Data-Driven Telecom Marketer’s Playbook features the freshest, deepest insights on three key wireless consumer segments:

  • Verizon Wireless Customers – what should Verizon lean into to maintain their market position?
  • AT&T Wireless Churn Risk – what insights could AT&T use to prevent customer loss?
  • Non-T-Mobile Wireless Customers – what appeal should the third biggest wireless provider use to snag those who are dissatisfied with their current provider?

Every telecom marketing professional should know how to use fresh data to tackle acquisition, expand customer relationships and lifetime value, and prevent churn.

Get the insights and tips you need for telecom marketing success

Download now for real-time, granular, and actionable wireless consumer data. 

 

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