Unique Methodology

We combine in-depth knowledge of network performance with insights into real end-user usage patterns and data analytics expertise and skills. A unique approach that is a clear benefit to all market players who need detailed insights into mobile performance drivers.

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Taking Network Testing To The Next Level

We select typical customer-usage patterns and stretch network capability to its limits.

Combining drive-testing, walk-testing and crowdsourcing

We measure smartphone voice and data performance based on extensive drive-tests – from major metropolitan areas to smaller cities, roads and railways, complemented by walk-tests in big cities with special focus on busy areas, on public transport and in frequently visited buildings, like shopping malls, main station, etc. We objectively define the routes and test methodology and publish the results through certificates or public benchmark reports. To complete the network performance picture, we access the most comprehensive set of global wireless market intelligence data provided by more than, constantly growing, 800 apps. We look at more than 100 KPIs including long-term service availability, network coverage and data speeds. This approach reflects the high importance of smartphone data service just as well as the users’ requirement for coverage and availability of their networks for any use case.

P3 Score

As the de-facto industry standard, our benchmarking methodology focuses on customer-perceived network quality and covers a wide range of mobile services. Today, more than 180 mobile networks in more than 80 countries are being evaluated by our unique scoring methodology. It allows a technical analysis that is unprecedented in its level of detail and enables comparisons between the network performance and capability of each mobile network. Our public benchmarks as well as the certificate benchmarks help network operators to demonstrate how well they are delivering wireless connections to consumers, business users and enterprises and reveals the areas of improvement.





  • browsing the most popular websites
  • uploading and downloading social media
  • transferring files (evaluated on access success rate, stability and the data transfer rate)
  • playing YouTube videos (reporting interruptions, buffering times and video quality)
  • assessing smartphone-to-smartphone calls (including background data traffic in parallel)
  • evaluating success of the call setup, call setup time and user triggered termination
  • evaluating voice quality (perceived over the mobile connection)
  • two or more cars
  • in cities, small towns and on connecting roads
  • cars are equipped with arrays of selected measurement devices
  • devices call counterpart in another car
  • two main categories which are respectively, smartphone voice and data services.
  • walk-test teams visit larger cities, take the trains between cities and into more rural areas
  • backpacks and/or trolleys equipped with arrays of selected measurement devices
  • devices call stationary-receivers

P3 can access the data of countless millions of real customer experiences worldwide – a footprint that is unrivalled.

Taking Crowdsourcing to the next Level

Crowdsourcing is a significant addition to classical methods of collecting network performance data. Our app-based, on-device data collection engine is working passively in the background of a user’s smartphone. With this app-based approach, end-user smartphones become measurement devices delivering invaluable knowledge on how customers use and experience mobile communications, both, on mobile networks as well as on Wi-Fi networks. Our analyses are therefore based on proprietary crowdsourced data, presenting a holistic view across individual voice calls, data and app usage and the related technical network parameters.


  • The data collected is anonymous
  • No personal identifiers, i.e. MSISDN, IMSI, IMEI or IP addresses, are collected
  • Data cannot be manipulated by tested networks
  • Passive approach has higher sample rate compared to traditional speed test solutions
  • No user interaction with measuring component is necessary
  • P3 framework can be integrated into any application (data is gathered from more than 800 apps)
  • Overhead of artificial data is removed
  • Data collection is strongly tied to explicit user content

Holistic Approach

Our crowdsourced data complements the drive- and walk-testing activities and adds important dimensions (e.g. time, geography or variety in devices and tariff plans), which cannot be covered with reasonable effort using traditional testing methodologies. It enables us to gain market intelligence beyond the aspect of network performance, such as user behavior, network properties and features, usage and performance of over-the-top services, infrastructure and device performance, security and more.

Unprecedented level of detail

With testing mobile networks in over 80 countries and engineers working on measurement solutions every day, we have gained extensive experience in collecting, storing and analyzing huge amounts of data. By analyzing data according to predefined KPIs, we can provide information for the optimization of networks and also show if networks live up to expectation. Our data scientists can drill down project-specific data sets and analyze them on a global scale.

True data analytics experts

All collected data are transferred to the P3 Big Data Platform and processed continuously. Automated aggregation with self-developed in-house software provides flexibility.

Experienced engineers interpret the data according to the P3 score ensuring high quality at all times. In constant exchange with the industry, the test evaluation algorithms are updated every year to ensure they continue to reflect both the latest technology and how mobile services are consumed by end users. All of this has led to a wide acceptance of our tests and analytics in the industry.

We are a trusted partner for all market players who need detailed insights into the wireless market, including analysts, utilities, mobility services, corporate users of wireless networks, infrastructure vendors and others.

It’s one thing to gather millions of data sets, but even more important to have the skills to derive insights from them. We can do both.