What we SAY is a great indicator of what we FEEL, what we INTEND and what we WANT. By analyzing the written word, we elevate the understanding that brands can have about their audience.
audience.ai research found that people going through pivotal life events like graduation, marriage or starting families are more likely to have similar interests and affinities than those in similar demographic targeting groups based on age, gender or income.
For the study, audience.ai examined millions of conversations through the lens of five significant life stages to understand how audience interests, conversations and brand preference differ from life stage to life stage.
Check out what we discovered, like how recent graduates differ from retirees in the media they consume or how new parents differ from affluent professionals in the brands they love or why millennials and retirees may have more in common than expected.
In 2016, businesses wasted $347 billion globally on marketing campaigns because they simply did not work. How is that possible? Their campaigns were not relevant. Why? They didn’t capitalize on technologies that achieve personalization at scale. More than simply surviving, brands and agencies must be relevant to their customers. When compared to cookies or demographic targeting, combining artificial intelligence with public conversational data offers marketers a deeper data set and a more holistic view of their audience, which means better targeting.