Predictive Analytics for Telecommunications

No other industry is changing as fast as telecommunications.

As technology advances, service and pricing plans evolve, and the market becomes more saturated, telecommunications companies face increasing competition for customers. How are the top companies gaining a competitive edge in the marketplace?

Eight out of 10 telecommunication services companies on the S&P 500 use software from SPSS.
– Standard & Poor’s

Predictive Analytics

Presidion help leading telecommunication organisations to use predictive analytics to gain the insight they need to make better, faster, more effective decisions. By learning more about their customers, and those customers’ preferences and needs, telecom companies can be more successful in this highly competitive industry.

Telecoms that use predictive analytics are in good company. Eight out of 10 telecommunications services companies on the S&P 500 have used software from SPSS. More than half of the telecommunications companies on the Forbes 500, Forbes International 500, S&P 500, S&P Global 1200, and S&P Europe 350 have also used SPSS software.

These companies use predictive analytics for:

  • Analytical Customer Relationship Management (ACRM)
  • Fraud Reduction
  • Bad Debt Reduction
  • Price Optimisation
  • Call Centre Optimisation

Our Solutions

Analytical CRM


Predictive Analytics helps telecommunications managers answer specific questions about their customers that ultimately help drive profitability through tailored marketing.

  • Who: Which customer will buy this product?
  • What: Type of interaction is most appropriate?
  • Where: Through which touchpoint
  • When: At what point in time?
  • Why: Driven by what motivation?

Real-time scoring enables you to deliver the right offer to the tight person through the right channel with the right message

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Planning and Optimisation

Colorful graph and computer devices.

A significant proportion of your customers are on the wrong price plan and may be paying too much, increasing their likelihood to churn. You want to give them the best value bundle without impacting on ARPU.

Presidion help telecommunication companies use optimisation to:

  • Calculate the best price bundle for those at risk of churn.
  • Enable significantly shorter planning and decision horizons, resulting in cumulatively better decision making
  • Help the company increase revenues while minimizing the operational costs of running the service centre

Call Centre Optimisation


What is your target for first call resolution?

How often do customers repeatedly contact the customer call center to solve an urgent problem, but the line is always busy?

When he finally gets through, the agent does not have the relevant qualification/information to help.

Predictive Analytics delivers the tailored information to call center agents that pull together the most important data on the client. The data is drawn from different operating systems and from different models in order to provide the most relevant up to date information to the call centre agents.

Predictive Analytics enables you to turn your existing service call centre into a revenue generator by accurately predicting sales opportunities, retention risks and delivering the appropriate scripts.

Case Study

Eircom gains deep insights into customer experience, using predictive analytics to identify and mitigate the factors that lead to customer churn.

The company worked with Presidion to implement  predictive analytics software – enabling it to identify which customers were most likely to switch, and why.

  • Reduces the time required to process data by 75% through automation.
  • Enables eircom to identify the most effective ways to improve the customer experience – reducing churn on key customer journeys by around 6%.

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Case Study

Predictive analytics cuts churn and reduces hardware investments, saving millions of euros per year.

  • Boosted retention by 10%, saving EUR1.1 million a year.
  • Cut annual hardware investment by EUR1 million.


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White Paper

Minimizing churn in the telecommunications industry.

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Case Study

Capturing new viewers, predicting ratings and adding value for advertisers in a multi-channel world.

Analyzing big data in seconds unlocks never-before-seen capabilities, helping to win new viewers and advertisers.


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White Paper

How innovative communications service providers are extracting value from uncertain data.

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Fraud Detection


How much money are you losing through fraud? How do you compare to your peers?

There are many ways to avoid paying for telecommunications services, from stealing phone card numbers to bypassing phone circuitry. The result? Fraudulent activity costs the telecommunications industry billions per year, forcing some companies to go out of business.

Presidion use Predictive Analytics in detecting telecommunications fraud in real time.

In practice this has lead to significant ROI

  • Significantly reduced telecommunications fraud for more than 150 telecommunication companies worldwide
  • Saved money by enabling real-time fraud detection

Read more

Reduction in Bad Debt


Discover how to develop data mining applications to reduce bad debt. Use your data to score your customers credit risk, at application stage, profile their normal or “at risk” usage and during the collections process when an account may fall into arrears.

Presidion help telecommunications organisations reduce risk by:

  • A analytical methodology for identifying accounts profiles that have sequentially moved into and out of mercantile actions. These accounts are in serious debt and have had many collection actions such as service restrictions imposed against them
  • An application and set of models that score phone accounts at application stage in order to identify their propensity to never pay or to be an account that will go into a high level of arrears

Download your info-pack for Telecommunications!

Gain access to the latest Predictive Analytics Case studies, White Papers and Reports in your industry!

  • "Because there is now a consistent approach to analytics across the business, it’s easy for our analysts in different departments to collaborate – enhancing our understanding of the factors behind churn."

    Anthony O’Neill
    Director of Planning, Insight and Analytics at eir
  • “The solution from Presidion gives our analysts the ability to perform deep dives and comprehensive statistical analyses to unlock the commercial value of our data,” - “Thanks to Presidion, we can now rapidly identify the causes of customer churn, and take action to mitigate them – increasing our competitiveness."

    Anthony O’Neill
    Director of Planning, Insight and Analytics at eir
  • "Presidion’s high level of expertise with the tools and deep understanding of our industry helped us to embed commercially valuable predictive analytics capabilities into our business processes, and start realising the benefits very quickly."

    Anthony O’Neill
    Director of Planning, Insight and Analytics at eir
  • "Seeing the world through the customer's eyes is the heart of our business. Customer information and feedback is key to this process and is enabling us to take a proactive approach to one of our industry's most pressing problems."

    Federico Cesconi
    Head of Customer Insight and Retention, Cablecom
  • "Choosing SPSS Statistics Base and SPSS Modeler has been very advantageous. Proof lies in the results achieved and the fact that we rely so much on the tools. We will continue to seek other SPSS Inc. tools that will help us gain competitive advantage."

    Spokesperson for the Market Planning and Bundling Department
    VTR GlobalCom
  • "Even before completing the final models, we were able to surpass our original target – and increase the campaign response rate by 100 percent."

    Stephen R. O’Brien
    British Telecommunications
  • "We are enthusiastic about the results so far. The software has far exceeded our expectations. SPSS enables us to quickly and effectively identify likely groups in our base of six million mobile customers for marketing actions aimed at value retention and value creation. We can quickly translate this valuable customer knowledge to segment specific actions and get a much higher efficiency out of our marketing investments."

    Leen Molendijk
    Implementation Manager, Predictive Marketing. KPN Mobile
  • "Personalized up-selling recommendations enable many agents to generate value in a single contact, allowing them to recommend the purchase of certain products to the client they are speaking to."

    Omar Rois
  • "SPSS Inc.'s technology is highly intuitive, enabling analysis to be undertaken extremely quickly. For simple tasks we often get the answer we’re looking for in just a couple of mouse clicks —this is a true advantage to any competitive offering."

    Federico Cesconi
  • "Seeing the world through the customers eyes is at the heart of our business. Customer information and feedback is key to this process and is enabling us to take a proactive approach to one of our industry's most pressing problems."

    Federico Cesconi

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Request a Consultation with a member of our insight team!