DEVICE INSIGHTS WEBINAR: How machine learning and device insight can power outstanding smartphone self-service


Why you should register

Deploying machine learning for smartphone diagnostics can empower smartphone self-service to a degree where it becomes a key differentiator for mobile operators and manufacturers alike.

In this webinar we will take a look at how machine learning can power smartphone self-service to deliver:

  • Increased loyalty - operators have seen NPS increase in excess of 7 points
  • Increased engagement - 3x higher CRT based on personalization and relevance
  • Boosted sales conversion - increase in sales conversion as well as overall value

DATE AND TIME: Thursday June 28th - 15:00 CET

PRESENTER: Torbjörn Thorsén, Marketing Director, eBuilder

All attendees will recieve a copy of our latest white paper: Identifying smartphone frustration to battle churn and improve loyalty in telecom



AI for telecom and the future of customer retention

At the Mobile World Congress a few weeks ago, the AI stream was the most well attended and it’s clear to see why. AI and machine learning can highly impact telecom in numerous ways. In this session eBuilder will explore the potential within customer retention, leveraging machine learning to improve targeting and boosting sales conversion.

HOST: Torbjörn Thorsén, eBuilder

Using machine learning to identify new device sales opportunities

Finding new opportunities for device upsell can be challenging. Device Insights allows operators to segment customers based on device experience. Join eBuilder as we explore how Device Insights boosts sales conversion and increases loyalty and retention.

HOST: Torbjörn Thorsén, eBuilder

Device insights delivers 3.7x sales conversion rates

5 key device insights that increase customer engagement in telecom

Engaging with customers to ensure loyalty and minimize churn is a key objective to any mobile operator. Join us as we explore the key device insights that enable operators to predict service needs using machine learning and prescriptive solutions to keep customers loyal.

In this webinar we will cover:

  • Top issues that cause users to switch smartphone
  • Prescriptive analytics that enhance customer self-service
  • Predicting upsell - identifying users that need a new device

HOST: Torbjörn Thorsén, eBuilder