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Introduction

Telefonica recently launched a proprietary technology called Smart Notifications (SN), to address the challenge that it and other brands face when trying to engage with customers via mobile applications: attracting and retaining their attention.

Highlights

  • SN leverages mobile device data and machine learning (ML) to detect the best time to push notifications.
  • CSPs looking to solve the attention economy challenge will need more than the ability to detect when customers are idle.

Features and Benefits

  • Provides an overview of Telefonica's SN solution.
  • Provides guidance on what CSPs looking to deploy similar solutions could do.
  • Highlights the next steps that Telefonica must take to ensure that it can tackle the attention economy challenge effectively.

Key questions answered

  • Why has Telefonica decided to launch SN?
  • What capabilities is Telefonica using to deliver this solution?
  • How is it taking advantage of ML to deliver the solution?

Table of contents

Ovum view

  • Summary
  • Telefonica launches SN to solve the attention economy challenge
  • SN leverages mobile device data and machine learning (ML) to detect the best time to push notifications
  • Telefonica SN turns an industry challenge to a business opportunity
  • CSPs looking to solve the attention economy challenge will need more than the ability to detect when customers are idle

Appendix

  • Further reading
  • Author

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