Opensignal is the independent global standard for analyzing consumers' connectivity experiences. Our industry reports are the definitive guide to understanding what happens when people use their mobile and broadband connections in their daily life.
Opensignal is the independent global standard for analyzing consumers' connectivity experiences. Our industry reports are the definitive guide to understanding what happens when people use their mobile and broadband connections in their daily life.
Opensignal’s Video Experience quantifies the quality of video streamed to mobile devices by measuring real-world video streams over an operator's networks. The metric is based on an International Telecommunication Union (ITU) approach, built upon detailed studies which have derived a relationship between technical parameters, including picture quality, video loading time and stall rate, with the perceived video experience as reported by real people. To calculate video experience, we are directly measuring video streams from end-user devices and using this ITU approach to quantify the overall video experience for each operator on a scale from 0 to 100. The videos tested include a mixture of resolutions — including Full HD (FHD) and 4K / Ultra HD (UHD) — and are streamed directly from the world’s largest video content providers.
In addition to Video Experience, we report on the following metrics related to video experience:
Opensignal’s Live Video Experience quantifies the quality of real-time video streamed to mobile devices by measuring video streams over an operator's network. The metric extends the existing International Telecommunication Union (ITU) approach used for Opensignal's on-demand Video Experience metric, built upon detailed studies which have derived a relationship between technical parameters, including live playback offset, picture quality, video loading time and stall rate, with the perceived live video experience as reported by real people. To calculate live video experience, we are directly measuring live video streams from end-user devices and using this extension of ITU's approach to quantify the overall live video experience for each operator on a scale from 0 to 100. The videos tested include a mixture of resolutions and are streamed directly from the world’s largest video content providers.
Opensignal’s Games Experience measures how mobile users experience real-time multiplayer mobile gaming on an operator’s network. Measured on a scale of 0-100, it analyzes how our users’ multiplayer mobile gaming experience is affected by mobile network conditions including latency, packet loss and jitter.
Games Experience quantifies the experience when playing real-time multiplayer mobile games on mobile devices connected to servers located around the world. The approach is built on several years of research quantifying the relationship between technical network parameters and the gaming experience as reported by real mobile users. These parameters include latency (round trip time), jitter (variability of latency) and packet loss (the proportion of data packets that never reach their destination). Additionally, it considers multiple genres of multiplayer mobile games to measure the average sensitivity to network conditions. The games tested include some of the most popular real-time multiplayer mobile games (such as Fortnite, Pro Evolution Soccer and Arena of Valor) played around the world.
Calculating Games Experience starts with measuring the end-to-end experience from users’ devices to internet end-points that host real games. The score is then measured on a scale from 0 to 100.
In addition to Games Experience, we report on the following metrics related to games experience:
Opensignal's Voice App Experience measures the quality of experience for over-the-top (OTT) voice services — mobile voice apps such as WhatsApp, Skype and Facebook Messenger — using a model derived from the International Telecommunication Union (ITU) approach for quantifying overall voice call quality and a series of calibrated technical parameters. This model characterizes the exact relationship between the technical measurements and perceived call quality. Voice App Experience for each operator is calculated on a scale from 0 to 100.
In addition to Voice App Experience, we report on the following metrics related to voice app experience:
Measured in Mbps, Download Speed Experience represents the typical everyday speeds a user experiences across an operator’s mobile data networks.
In addition to Download Speed Experience, we report on the following metrics related to download speeds:
Upload Speed Experience measures the average upload speeds for each operator observed by our users across their mobile data networks. Typically upload speeds are slower than download speeds, as current mobile broadband technologies focus resources on providing the best possible download speed for users consuming content on their devices. As mobile internet trends move away from downloading content to creating content and supporting real-time communications services, upload speeds are becoming more vital and new technologies are emerging that boost upstream capacity.
In addition to Upload Speed Experience, we report on five supporting metrics related to upload speeds:
The Opensignal Coverage Experience metric measures the extent of mobile networks in the places people live, work and travel. The metric represents the experience users receive as they travel around areas where they would reasonably expect to find coverage.
Traditional coverage metrics typically estimate either a percentage of land area covered, or a percentage of population covered; often neither will be an accurate measurement of the true user expectation and experience. In many markets there are areas where neither population density nor geographic area reflect the importance of coverage to users. For example, in a large mountain range most users will not expect coverage in the wilderness, but poor coverage in the relatively small area of a ski resort is critical for the enjoyment of a holiday. Estimates based purely on population give undue significance to coverage in the most densely populated areas.
Coverage Experience measures geographic coverage of populated areas and therefore more accurately reflects the coverage expectations and experience of typical users. It can give a result that is somewhat different to traditional estimates based on either geographic or population measures. The metric uses a scale from 0 to 10.
Our availability metrics are not a measure of a network’s geographical extent. They won’t tell you whether you are likely to get a signal if you plan to visit a remote rural or nearly uninhabited region. Instead, they measure what proportion of time people have a network connection, in the places they most commonly frequent — something often missed by traditional coverage metrics. Looking at when users have a connection rather than where, provides us with a more precise reflection of the true user experience.
We also keep track of the instances that leave mobile users most frustrated: when there is no signal to connect to at all. The most common dead zones users struggle with occur indoors. As most of our availability data is collected indoors (as that’s where users spend most of their time), we’re particularly astute at detecting areas of zero signal.
Our availability metrics take a user-centric, time-based approach that complements the user-centric and geographical-based methodology used by our reach metrics.
Availability shows the proportion of time all Opensignal users on an operator’s network had either a 3G, 4G or 5G connection.
Our availability metrics are not a measure of a network’s geographical extent. They won’t tell you whether you are likely to get a signal if you plan to visit a remote rural or nearly uninhabited region. Instead, they measure what proportion of time people have a network connection, in the places they most commonly frequent — something often missed by traditional coverage metrics. Looking at when users have a connection rather than where, provides us with a more precise reflection of the true user experience.
We also keep track of the instances that leave mobile users most frustrated: when there is no signal to connect to at all. The most common dead zones users struggle with occur indoors. As most of our availability data is collected indoors (as that’s where users spend most of their time), we’re particularly astute at detecting areas of zero signal.
Our availability metrics take a user-centric, time-based approach that complements the user-centric and geographical-based methodology used by our reach metrics.
4G Availability shows the proportion of time Opensignal users with a 4G device and a 4G subscription — but have never connected to 5G — had a 4G connection.
Consistent Quality measures if the network is sufficient to support common mobile application requirements at a level that is ‘good enough’ for users to maintain (or complete) various typical tasks on their devices.
We combine different experience indicators such as download speed, upload speed, latency, jitter, packet discard, and time to first byte to calculate Consistent Quality. These components are evaluated against thresholds recommended by various more demanding common applications used for a range of common tasks.
To calculate the metric value, the proportion of tests that pass the requirements of Consistent Quality is multiplied by the test success ratio, which is the proportion of completed tests to all tests conducted. Tests that pass indicate that activities such as video calling, uploading an image to social media, or using smart home applications will be possible without noticeable lag or slowdown.
Collecting billions of individual measurements daily from over 100 million devices globally, Opensignal independently analyzes mobile and broadband user experience on every major network operator around the globe.
Opensignal is the leading global provider of independent insights into consumers' connectivity experiences and choice of carrier. Our proprietary insights into mobile and broadband networks give operators the solutions they need to profitably compete and win, from executive level scorecards and public validation to pin-point level engineering analytics and consumer decision dynamics.
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For every metric we calculate statistical confidence intervals indicated on our graphs. When confidence intervals overlap, our measured results are too close to declare a winner. In those cases, we show a statistical draw. For this reason, some metrics have multiple operator winners.
In our bar graphs we represent confidence intervals as boundaries on either sides of graph bars.
In our supporting-metric charts we show confidence intervals as +/- numerical values.
Why confidence intervals are vital in analyzing mobile network experience