When The Kids Grow Up: Addressing a Households Growing Broadband Needs The Right Way

3 Mins read

The steps needed to provide great internet experience are continuously changing. 

During COVID-19, employees suddenly began working from home en-masse, while for the weekend of the Super Bowl, streaming becomes the #1 activity. When new devices or gadgets hit the shelves, these spike in popularity, while the emergence of a popular game may require a totally new approach to ensure a reliable connection for those users who have been waiting eagerly for release day. 

Any number of external factors can add a strain to your household’s broadband, and your subscribers expect that you won’t miss a single beat. 


Communication Service Providers (CSPs) can turn this risk into an opportunity, and even use it to add revenue streams, if they are able to identify upcoming trends ahead of time, and understand where they are relevant with the support of predictive modeling and analytics. 

Diving Deep with Customer Analytics

Gaming bundles and streaming bundles are nothing new, but what if CSPs could take it a step further? By using customer analytics, CSPs can now identify consumption patterns across their user-base, and create segments according to use of certain devices or applications. 

At Veego, we make this happen through our unique App ID and technologies.  As well as recognizing what devices are being used, our proprietary technology includes App ID that highlights exactly which category of application is in use, and then the application itself within that category. 

By putting all of this information together, we begin to uncover a picture of the behavior of subscribers within the connected home without relying on Deep Packet Inspection. For example, we know that a particular household is using a Smart TV, streaming a movie, and that the movie is on Netflix rather than on Hulu. With full compliance into privacy regulations, CSPs can create segments according to which homes are heavy gamers, what their preferred devices are for gaming, and which games they like to play the most.With this information, the sky’s the limit for proactive support. Let’s say Square Enix announces the next in the line of Final Fantasy games, available on PlayStation 5. With the help of predictive modeling, you already have a comprehensive list of subscribers who will be impacted by this announcement, (your gaming segment) or you may even have a smaller cohort who have a PlayStation 5, and are likely to be eagerly awaiting the game’s release date. 

You can target this segment with a bundle that offers higher bandwidth and lower latency to support their uninterrupted gameplay, and provide a license for the game through a partnership with the game provider.  This is an upsell opportunity for you as a CSP, builds or strengthens a partnership between your business and the gaming provider, and adds loyalty, stickiness, and value to the subscriber relationship too. Win/win/win.

Going Further with App Quality of Experience Scores

To take this approach further, Veego augments App ID with insight into App Quality of Experience (QoE). As a CSP, you can visualize more than just what app is in use, but also how each app is performing, and the impact of all network events on each application and device – in context. If subscribers are experiencing problems when using their gaming devices, you can see when these issues occur, and drill down into the root cause of the service degradation for proactive support. 

Of course, gaming is just one cohort.The same approach can be used for any segment, from those who are working from home and launching the new version of Microsoft Teams, to an influx of Amazon Alexa’s a few days after Prime Day. With predictive modeling in place, CSPs can use deep customer analytics and associated insights towards proactive and personalized initiatives that lead to direct revenue opportunities.


Your Customer Experience Management Journey Starts with the Right Data

According to McKinsey Research, companies that excel at personalization generate 40% more revenue than those who do not. Personalizing at scale means understanding exactly what subscribers utilize and value in their connected homes, and ensuring you can offer that experience flawlessly, across your whole user base. 

With App ID and QoE data at hand, CSPs can open new revenue streams, ensure subscriber loyalty, and race ahead of their competition in customer experience management. 

See how it works for yourself – and start planning your new revenue streams! 

Schedule a demo with us

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