-Monitors and analyzes the robustness of watermark encoding across all program content.
-Offers visibility into how listening environments may influence watermark decoding, using models of acoustic spaces where listeners are wearing or carrying their devices.It’s all about your listeners. Your people, your programming, your gear… they’re all focused on building and retaining your audience.
We don’t have to tell you about the direct link between the size and composition of your audience—as measured and reported by your ratings—and your advertising revenue. That’s why it’s vital to you that every panelist in your market is accurately measured and that every station is playing on a level field. Introducing Voltair, designed to give you greater confidence that every listener is counted when it counts the most.
Radio ratings have been called “a game of inches,” where winners and losers are sometimes decided by the thinnest of margins. Station management teams have always carefully monitored their markets’ listener data and taken action to maximize ratings and revenue.
With changes in rating survey methodologies in recent years, many program directors report making more dramatic changes than ever before. For example, dayparts have been moved, local breaks have been reduced, and programming clocks have become more rigid in response to the hard, quarter-hour boundaries of ratings credit. Likewise, the industry has seen changes in audio processing practices, airchain device order and other station engineering procedures—all in service to optimal performance of watermark-based ratings technologies.
Because ratings performance data is provided on a delayed basis, stations lack the means to conduct real-time analysis of audience response. Programmers have had limited insight into what efforts are of benefit and why. Hence, most station efforts to optimize their performance in ratings have been trial and error, with little insight into what may or may not be effective.
-Even one listener device worth of data can make a measurable difference in your ratings.
-Insights into how your audio content is handled during the watermarking process can show you ways to improve the robustness of your encoding.
-Consideration of listening environments can guide changes that may improve the reliability of watermark decoding on listener devices.
-When you have confidence in the end-to-end watermark system performance of your stations’ signals, you also have more confidence in the relationship between ratings and your programming decisions.