Neuromarketing also uses predictive models to predict the response an advertisement will elicit. Modern neuromarketing solutions combine neuroscience, big data, and artificial intelligence to predict consumer behavior.
Help Customers
Neuromarketing helps brands help customers make smarter choices. This includes providing clear product information, removing unnecessary friction in the shopping process, and ensuring product availability.
Advertising Noise and Technological Pressure
Neuromarketing helps make marketing more effective by reaction cutting through advertising noise and reducing waste. This benefits both companies and customers. Companies can optimize their strategies, while customers have a more comfortable experience, less distracted by advertising and technological pressures.
Examples of Neuromarketing
Now that you know more about neuromarketing student data and how it works, let’s look at some examples of companies actually using these techniques:
Hyundai
In one study, a group of men and women were asked to rate parts of cars from Hyundai, a major car manufacturer. Using neural signals, Hyundai was able to determine which areas appealed to men and which to women. With this data, the company was able to tweak reaction styling that didn’t work and enhance the parts that did. This strategy helped Hyundai do you talk to and understand your customers? gain more market share and increase car sales. Ultimately, being able to know what kind of car people want can reduce errors, since the cost of designing and launching new cars is huge.
Coca-cola
For example, Coca-Cola uses neuromarketing to measure neural responses to their advertising materials. The elements in the ad that attract attention are highlighted. Researchers also record gambling data participants’ feelings about the ad. This valuable information helps Coca-Cola adjust its advertising scripts, target the desired message to consumers, create more successful ads, and increase sales.
Frito-Lay
Frito-Lay, a major snack food manufacturer, used neuroimaging technology to improve its product packaging. Researchers showed customers different packaging designs and recorded their responses, categorizing them as positive, negative, or neutral. Participants also commented on the text, colors, and fonts on the packaging. The study found preferred the matte packaging over its previous glossy packaging.