Audience measurement historic

It’s not a state secret, radio audience measurement is really inaccurate. Until today, the audience is calculated on the basis of declarative survey. You all know what I’m talking about… live survey over the phone with 25 minutes of questions… A real nightmare both for the surveyor and the panel member. Beyond the fact that it’s annoying, this kind of survey are really not relevant; at the end, the panel member gives any type of answers to speed up the process and terminate the interview as soon as possible. Moreover, how can we be sure that every panel member remembers well what he was listening all day long. Maybe he missed something. But no one will never know.

A second method appeared recently: Audience measurement based on the watermarking technology. Other approach, other problems.
First, the watermarking force a change into the live signal at the source to inject some recurring data to identify the channel listened. This technical step creates an average delay of 150 ms between the live and the broadcasted stream, clearly making the technical team unhappy to have to manage such a situation impacting the chain of broadcast. Second, if the idea is to ask the panel member to wear a decoder to avoid the manual queries is good, it involves a number of disadvantages: cost of the decoder, extra device to carry, to recharge … Finally, an expensive solution driving the data collection companies to limit the number of active devices to the minimum. As real example, 15 devices to cover a region with 230 000 active listeners every day… can we really call that a representative panel?

This is where SoundID Audience come into play. Our content recognition solution based on home-made complex algorithms is the result of 7 years of research and development and 2 extra years of finetuning to deliver the best result for the dynamic effective audience measurement.

Our own fingerprints

Our advantages are numerous: first, no change at all at the source, we simply listen to the live streams to generate the fingerprints by ourselves, then our smartphone app will sample the ambient sounds of the panel user and there too a fingerprint will be generated locally for each sample (non reversible process fully protecting the private life) before being uploaded to our central servers and erased locally. Upload fingerprints are then compared to the stream fingerprints to detect which stream the panel user was listening at that time. Full security, low bandwith, possibly very large panels./div>

How it works?

Let’s imagine you are a panel member, you have “SoundID Audience” app installed on your smartphone. You don’t have to change any habit, the microphone of your mobile is activated on a regular predefined interval (i.e. once per minute) for a predefined duration (i.e. 5 seconds).
No constraints, the mobile can even stay inside the pocket of your jacket, we can capture enough sound to recognize which radio you are listening to.
Of course, for any personal reasons, you can temporarily disconnect from the panel, knowing that you will lose the reward from the panel owner for this period. In the fact the marginal cost of an extra panel member is very low allowing the panel owner to significantly increase the size of the panel to guarantee that the collected data is representing an effective audience distribution.

Listeners behaviour habits

No only the large panels will give you an accurate and representative measurement of the audience but also thanks to the number of samples (one per minute or more) your precision will be de facto much better than any survey conducted today, 15 times better is you consider the theoretical sampling used by declarative surveys. With such amount of data, you are able by segment of your panel (age, sex, social, region, …) to identify their behaviour and even detect what makes them zapping to another channel. It has never been easier to analyse the listener’s behaviour. If agreed with the panel members, SoundID Audience can even collect with each sample their location to provide to the analytics server all the geolocation information.

Socio economics analysis

At the end of the day, what you need is a concrete view of the radio market. With metrics, segmentation of the market, SoundID Audience can confirm at any time the amount of active panel members, the percentage of listeners for a monitored radio/tv, the percentage listening something else or nothing. The recordings used for fingerprinting can be the microphone for any external player (radio, TV, …) or smartphone internal if they listen to some media through web players or dedicated radio apps.  At the end, it offers you a complete rapport with all information you need to make your analysis. You will know the age, the gender, the listening habits, the localization, etc. Those data are readily available minute-by-minute without extra effort, without dedicated device, without any life privacy breach and with a surprising accuracy. All manageable from a single interface for the panel manager and with settings distributed automatically to all panel members smartphones.

Our algorithms, our fingerprints, our expertise, your enhanced metrics