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Predict AI
Predict AI

Predict AI

Social Media Assistant

Predict AI
What is Neurons and how does it work? Neurons is a company that uses neuroscience and artificial intelligence to help businesses improve their marketing and design. Neurons has a platform that can predict how customers will respond to different types of creatives, such as ads, websites, packaging, and more.
Paid
API

Neurons uses data from eye-tracking and brain scans to understand what attracts attention, what triggers emotions, and what motivates behavior. Neurons has collected data from more than 120,000 people worldwide and has trained more than 100 machine learning models based on this data.

Neurons can help businesses create high-performing creatives that increase conversions, engagement, and sales. Neurons can also help businesses compare their creatives to industry standards and find performance gaps. Neurons works with many of the world's biggest brands and has more than 20 years of experience in applied neuroscience.
 

Pros
  •  They have a strong scientific background and expertise in applied neuroscience, behavioral science, and machine learning.
  •  They offer different products to suit different needs: Predict, Explore, and Research. Predict uses AI to evaluate the performance of images and videos before launching them. Explore uses online tests to measure the emotional and motivational responses of customers to ads. Research uses eye-tracking and EEG to collect data from lab studies or real-life situations.
  •  They work with some of the world's biggest brands and have received awards for their growth and innovation.
  •  They have a global reach and can run studies in any market or region.
  •  They have a values program that focuses on ethics, responsible business, and scientific validity and integrity.


 

Cons
  •  Their services may be expensive or inaccessible for small businesses or startups that have limited budgets or resources.
  •  Their methods and metrics may not capture all the aspects of human behavior or decision making that are influenced by social, cultural, or contextual factors.
  •  Their data may raise privacy or ethical concerns for customers who may not be aware of how their responses are collected or used.
  •  Their solutions may not be compatible or integrated with other tools or platforms that businesses use to manage their marketing or customer relations.
  •  Their products may require technical skills or training to use effectively or interpret correctly.
     

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