Today’s consumers switch between media forms so often – from TV to laptops to smart phones – that capturing their attention with advertising has gone, as one CEO explained, from shooting fish in a barrel to shooting minnows.
Now, a Michigan State University business scholar and colleagues have developed the most accurate model yet for targeting those fast-moving minnows. The research-based model predicts when during the day people use the varying forms of media and even when they are using two or more at a time, an increasingly common practice known as media multiplexing.
That’s good news for companies struggling to predict when to buy ads on the Internet, television and radio, and in print publications. Previous models for predicting when consumers use media were 60 percent-70 percent accurate; the new model led by MSU’s Chen Lin has proved 97 percent accurate.
The study, published in the academic journal Marketing Science, is based on a survey of the media-consumption habits of nearly 2 000 U.S. residents. Lin and colleagues used the survey data to create their complex forecasting model.
Among the study findings:
- People spend about 35 percent of their time consuming media.
- Television is still the most popular outlet, followed by computer.
- During the weekend, consumers spend more time watching TV and reading print publications and less time on the computer and listening to radio.
- People spend about 1.5 hours a day consuming multiple media at the same time (e.g., surfing the Web while watching TV). This happens more at during the start of the workday and before bed – at about 9 a.m. and again at 9 p.m.
- Chen also said she was surprised to find consumers still value print media at certain times, particularly in the morning. Print was especially popular when it was paired with other forms of media.
Lin said ad buyers should stop considering the different media forms as competing and instead view them as complimentary. For example, print ads should be partnered with radio and Internet media forms in the key time slots when consumers are likely to be using all three forms.