AI-generated ads present new challenges for the advertising industry, but also offer faster production. Marketers must navigate a fragmented landscape to reach their audience effectively. However, AI still has limitations, as seen in odd examples like pizza-eating people. The key is to calibrate AI output based on how consumers actually respond, requiring accurate predictive models. Solutions like Neurons’ Predict provide quick feedback for refining ad creatives in this new generative AI landscape.
Category: neuromarketing
Unlocking Customer Satisfaction With Wanting and Liking
The latest insights from neuroscience and neuromarketing on customer satisfaction, exploring the distinction between wanting and liking
Motivation in the Metaverse: Decoding the Neuroscience of Virtual Shopping
Are you curious about how your brain makes choices while shopping in the metaverse? Our recent study explores the neural mechanisms underlying consumer behavior in a virtual supermarket
Why is the Attention Economy Today’s Hyped Word in Marketing?
In recent years, the world of marketing and business has been shaken by a paradigm shift. For decades, the focus had been on collecting as much data as possible about consumers to better understand their habits, preferences, and behaviors. But as technology has advanced, tracking people’s online behavior has become increasingly difficult, leaving companies struggling […]
Killing Your Brand with Technostress
The new concept of “technostress” is becoming an increasing topif for companies to become aware of and adjust to.
When viral ads fail on branding
What can make a viral ad still fail? If ad liking is through the roof, ad sharing is boosting, and ad impressions are awesome, many ads still fail to succeed in brand communications.
Sex and money: common or different emotional brain currencies?
How are values computed in the brain? Rewards can be many things: the expectation when having just ordered your favorite dish; the child’s joy at Christmas Eve; the enjoyment of good music or the wonderful taste of strawberries. But how does the brain process these many different kinds of rewards? And what part of the brain controls these emotions? Does the emotional brain treat all types of rewards equally or does it distinguish between different kinds of rewards?
Building a foundation for consumer neuroscience
How should we use neuroscience in business? In a recent paper I argue for three pillars in a foundation for consumer neuroscience
The Added Value of Neuroscience
I’m often asked about what I believe is the added value of neuroscience. Here are a few thoughts gathered in one spot.