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    3. >NEW RESEARCH REVEALS PREDICTIVE ANALYTICS CAN QUICKLY UNLOCK REVENUE STREAMS WHILST IMPROVING THE CUSTOMER EXPERIENCE OF ROAMERS
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    Business

    New Research Reveals Predictive Analytics Can Quickly Unlock Revenue Streams Whilst Improving the Customer Experience of Roamers

    Published by Gbaf News

    Posted on March 22, 2018

    4 min read

    Last updated: January 21, 2026

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    Image of Samuel Leeds exploring the impact of cash and inflation on the UK banking system, relevant to the textile auxiliaries market growth forecast.
    Samuel Leeds discusses cash, inflation, and the UK banking system - Global Banking & Finance Review

    Mobileum, the leader in roaming and traveller data analytics, announces new research aimed at telecom service providers looking to understand key trends and identify new opportunities to transform and monetise roaming business in an increasingly disrupted marketplace. A key finding is that initiatives in customer behavorial analytics, and new predictive models, can deliver accurate conclusions of roaming customers, with clear graphical representation of results. An analytics-based approach enables operators to take immediate action to improve the customer experience for travellers.

    A joint effort by the industry recognised roaming experts, Mobileum, and Juniper Research, the report explores the challenges currently facing operators, including the rise of OTT messaging, social media substitution and the silent roamer problem and offers strategic recommendations to enable operators to monetise roaming traffic. A key finding is that developments in data analytics can help increase ARPU and reduce churn, through new ways to analyse and present data and swiftly act on the findings to improve both network efficiency and end user experience.

    By using analytics to detect customer context, operators can offer targeted bundles, tailored to the roamer’s individual sales history and usage. Service bundling increases overall revenues by reducing the silent roamer proportion. By switching to a business model predicated on big data analytics, operators can thereby maximise their future revenues. It involves a sea change in how businesses operate, but significant benefits await if operators take the right approach.

    “With the increasing amounts of both network and traveller data available for interpretation and analysis, operators who ignore trends face customer dissatisfaction or customers simply turning off data altogether. Roaming is one area where they can immediately improve the customer experience and provide a mutually beneficial roaming relationship with their subscribers,” said Tim Moran SVP Product and Offering at Mobileum.

    “This research gives operators a clear understanding of the previously unseen opportunities available. As operators and vendors look towards the future of roaming they need to utilise customer data in order to understand the subscriber base and fully engage their customers” added Tim.

    To access the full report please download it from here.

    Mobileum, the leader in roaming and traveller data analytics, announces new research aimed at telecom service providers looking to understand key trends and identify new opportunities to transform and monetise roaming business in an increasingly disrupted marketplace. A key finding is that initiatives in customer behavorial analytics, and new predictive models, can deliver accurate conclusions of roaming customers, with clear graphical representation of results. An analytics-based approach enables operators to take immediate action to improve the customer experience for travellers.

    A joint effort by the industry recognised roaming experts, Mobileum, and Juniper Research, the report explores the challenges currently facing operators, including the rise of OTT messaging, social media substitution and the silent roamer problem and offers strategic recommendations to enable operators to monetise roaming traffic. A key finding is that developments in data analytics can help increase ARPU and reduce churn, through new ways to analyse and present data and swiftly act on the findings to improve both network efficiency and end user experience.

    By using analytics to detect customer context, operators can offer targeted bundles, tailored to the roamer’s individual sales history and usage. Service bundling increases overall revenues by reducing the silent roamer proportion. By switching to a business model predicated on big data analytics, operators can thereby maximise their future revenues. It involves a sea change in how businesses operate, but significant benefits await if operators take the right approach.

    “With the increasing amounts of both network and traveller data available for interpretation and analysis, operators who ignore trends face customer dissatisfaction or customers simply turning off data altogether. Roaming is one area where they can immediately improve the customer experience and provide a mutually beneficial roaming relationship with their subscribers,” said Tim Moran SVP Product and Offering at Mobileum.

    “This research gives operators a clear understanding of the previously unseen opportunities available. As operators and vendors look towards the future of roaming they need to utilise customer data in order to understand the subscriber base and fully engage their customers” added Tim.

    To access the full report please download it from here.

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