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Neuronsa leader in AI-driven marketing insights, introduces Memory and Engagement, two game-changing metrics now available on its ad prediction platform. Already widely used for its accuracy in predicting attention, the platform now also provides insight into ad exposure and engagement, enabling marketers to make better, faster decisions. The platform helps marketers understand how well their display and video ads are performing and provides actionable recommendations for improvement when ads fall short of industry standards. All this without having to live on ads or spend on advertising in the market.
The Neurons platform, based on its own neuroscientific data and with more than 10 collaborative unique artificial intelligence models, analyzes ads at the highest speed. Marketers can simply upload their ad assets to the platform and get easy-to-understand feedback on what’s working and what needs to be tweaked. The platform predicts key performance metrics, including ad attention, engagement, and memorability, while providing suggestions on how to make ads more engaging, branding more visible, key messages more memorable, and more. AI-ready marketers around the world use these insights to fine-tune their campaigns with confidence, saving time and resources while achieving measurable results with this tool.
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For the first time, we can predict whether people will remember an ad without having to wait for test results or rely on follow-up questions. It’s a marketing metric straight from the future.”
—Dr. McCarthy. Thomas Zoëga Ramsøy, CEO and Chief AI Officer at Neurons
Neurons AI is trained on one of the world’s largest proprietary neuroscience and eye-tracking databases. Its scientifically proven predictive AI models measure specific human behavior with unmatched accuracy. For example, its AI attention model generates heatmaps with more than 97% accuracy and detects performance gaps in seconds for display ads and minutes for video content. All predictions and recommendations are interpreted by some of the most advanced Large Language Models (LLM) available today.
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The addition of Memory and new Engagement metrics further expands the platform’s capabilities, including its AI insights and recommendations:
* The Neurons Memory score predicts how likely you are to remember an ad after a brief viewing. Unlike traditional metrics, it includes an implicit component of retention time and provides a more reliable view of what audiences really stick with.
* The Neurons Engagement score captures the emotional appeal of an ad. It is designed to predict the level of positive emotional response an ad will elicit in an audience after brief exposure. Built on Neurons’ rapid-response tests, this score captures gut-level responses and helps marketers assess what really connects with people.
“Neurons Memory feels like a marketing metric straight out of the future,” said Dr. Thomas Zoëga Ramsøy, CEO and Chief AI Officer at Neurons. “For the first time, we can predict whether people will remember an ad without having to wait for test results or rely on follow-up questions. Now we can measure memory second by second and determine exactly which parts of an ad are most memorable. This means that we are going beyond what neuroscience has been able to do for marketers. With the new memory score, marketers can now measure all 4 elements of successful ads using Neurons AI, now capturing attention, engagement, cognitive demand (complexity) and memory.”