Simulate consumer attention on your visual assets in seconds.
Predict
What is Predict
Predict by Neurons is an AI solution designed to simulate consumer attention on visual assets, permitting users to pre-test and optimize image and video content. Based on neuroscience, this AI tool offers a variety of features to enhance the performance of advertising campaigns. It employs attention heatmaps and automatically generated Areas Of Interest (AOIs) to visualize audience attention and comprehension of key elements in a given visual content. Predict also facilitates cognitive scoring and benchmarking, allowing users to anticipate customer responses and make comprehensively informed design choices. Agencies, marketers, and designers can use this advanced tool to reduce design revisions and fine-tune campaigns based on insightful data predictions. Additionally, Predict supports a compare view facilitating efficient A/B testing. Users can compare design variations side-by-side and decide the winner based on performance data, rather than solely relying on intuition. Predict is a versatile AI tool, adaptable to various use-cases and trusted by some of the world’s biggest brands.
Pros And Cons Of Predict
Pros
Simulates consumer attention
Optimizes visual assets
Measures attention and engagement
Integrates with popular tools
Backed by neuroscience experience
Increases CTR and engagement
Pre-tests creatives
Compares to industry benchmarks
Generates attention heatmaps
Creates Areas of Interest
Cognitive scoring feature
Aids advertising benchmarking
Facilitates A/B testing
Reduces design revisions
Enhances advertising campaigns
Quick consumer attention simulation
Trusted by big brands
Adaptable to various use-cases
Uses insightful data predictions
Allows side-by-side comparisons
Helps anticipate customer responses
Increases conversions
Improves creative performance
Automates client predictions
Suited for multiple roles
Visualizes audience comprehension
Supports multiple use cases
Personalized recommendations
Industry-specific fine-tuning
Data-driven campaign supporting
Confidence boosting design feedback
Automatically generates AOIs
Data-driven design decisions
Accelerates growth
Offers scalability
Validated by scientific research
Processes large data quantities
Implements rapid feedback
Enhances in-house expertise
Identifies performance gaps
Improves uncertainty management
Cons
Limited third-party integrations
No mobile app support
Limited usage scenarios
Confined to visual assets
Lack of real-time analytics
No custom metric tracking
Based on neuroscience
limiting diversification
Pricing Of Predict
FQA From Predict
What is Predict by Neurons?
Predict by Neurons is a robust AI solution that simulates customer attention on visual assets including images and videos. It allows businesses to pre-test and optimize their visual content for maximum effectiveness. By understanding consumer responses to creatives, Predict empowers companies to refine design processes and assuredly decision-making.
Can Predict be integrated with other common tools such as Figma, Chrome, and Adobe XD?
Yes, Predict integrates seamlessly with widely-used tools such as Adobe XD, Figma, and Chrome. This allows users to conveniently use Predict alongside these tools and apply its insights directly in their design or optimization processes.
How does Predict help improve my creatives' performance?
Predict assists in improving the performance of creatives by analyzing user responses and measuring attention and engagement. This anticipatory data aids in refining designs, maximizing their impact, and ensuring they deliver desired results. It also allows for comparison with industry benchmarks to keep your creatives competitive.
How does Predict contribute to enhanced customer engagement and increased conversion rates?
Predict enhances customer engagement and drives conversion rates by providing insights into what visuals attract customer attention and cause an impact. This attention to detail allows businesses to optimize their creative assets based on data, thus increasing the chance of customer interaction and, consequently, conversion rates.
In what way does Predict use artificial intelligence to simulate customer attention on visual assets?
Predict employs AI to simulate customer attention by generating attention heatmaps and automatically designated Areas Of Interest (AOIs). These visualizations represent predicted consumer response to different elements within the visual asset. This data-driven insight is powered by AI and neuroscience, allowing for informed decisions and more effective content.
How do users use the Predict's attention heatmaps and automatic AOIs?
Users leverage the attention heatmaps and automatic AOIs from Predict to visualize where audience attention is likely to be directed within a visual asset. These tools provide measurable visual cues, helping users understand customer perception and tailor their content to highlight the most impactful elements.
How can Predict help agencies, marketers, and designers in reducing design revisions?
With Predict, agencies, marketers, and designers can anticipate consumer responses to their designs, reducing the need for extensive design revisions. By employing Predict's attention simulation and benchmarking capabilities, users can optimize designs before they go live, saving time, and resources that could have been expended on numerous redesigns.
What are the key industries or use-cases where Predict by Neurons is most useful?
Predict is highly versatile and adaptable, proving useful across numerous industries and use-cases. Some key areas where Predict is most effective include A/B testing, advertising, branding, e-commerce and retail. Its advanced features suit the needs of marketers, agencies, and designers aiming to optimize their visual content and advertising campaigns.
What is the cognitive scoring feature in Predict?
The cognitive scoring feature in Predict provides metrics that forecast consumer responses to your ads. It allows you to make data-driven design decisions and see how your ads compare to industry standards. This enables you to identify performance gaps and make necessary adjustments.
How can Predict be used to compare design variations side-by-side?
Predict's Compare View feature encourages efficient A/B testing. Users can compare design variations side-by-side, providing a visual representation of how different designs perform against each other. This enables informed decision-making based on performance rather than intuition alone.
How is Predict's performance data used in deciding winning designs?
Predict's performance data is used to decide winning designs by providing hard facts and measurable results. By using Predict's Compare View feature, users can gauge the performance of different design variations and choose the one with the highest engagement rates, attention heatmaps, and cognitive scores.
Can I use Predict to pre-test and optimize my video content?
Absolutely, Predict supports the pre-testing and optimization of not just images, but also video content. It simulates consumer attention on videos enabling you to understand how the audience might interact with your video before it goes live, allowing you to optimize accordingly for maximum impact.
How does Predict support the A/B testing process?
Predict supports the A/B testing process by allowing users to compare side-by-side different design alternatives. Its attention heatmaps, AOIs, and cognitive scoring metrics provide comprehensive performance insights that guide towards the selection of the most promising design version based on data, rather than guesswork.
What means does Predict use to visualize audience attention?
Predict uses a combination of attention heatmaps and Areas Of Interest (AOIs) generation to visualize audience attention. These visual tools highlight the areas within a creative asset that are likely to garner the most attention, providing insight into consumer perception and response.
How does Predict help in benchmarking advertising campaigns?
Predict helps to benchmark advertising campaigns by providing cognitive scoring that indicates the potential effectiveness of ads. It also allows users to compare their creatives against industry averages, helping to highlight performance gaps and identify areas of improvement, thus optimizing for increased attention and engagement.
Can Predict be used for brand awareness enhancement?
Predict can certainly be used for enhancing brand awareness. By simulating and measuring consumer attention on creatives, Predict guides to optimize content in a way that it maximally attracts and retains audience attention. This increased attention and engagement is instrumental in boosting brand visibility and recognition.
How can I use Predict for advertising benchmarking?
Predict streamlines advertising benchmarking by providing cognitive scores and comparisons with industry standards. It offers a metric view of how your advertising content stacks up against the competition, helping to pinpoint performance gaps and make requisite amendments for optimized and competent ad campaigns.
How is Predict used to generate Areas Of Interest (AOIs)?
Predict generates Areas Of Interest (AOIs) automatically in visual assets to visualize and quantify audience attention. This functionality detects and highlights regions within the visual content that are likely to draw more attention, helping users to understand and direct audience focus optimally.
What neuroscience experiences back Predict's design?
Predict's design is backed by over 20 years of applied neuroscience experience. This rich background allows for the creation of an AI that effectively simulates customer attention and offers data-driven insights, combining the principles of neuroscience and artificial intelligence to amplify advertising success.
How does Predict facilitate design optimization based on data-driven insights?
Predict facilitates design optimization based on data-driven insights by providing key metrics like attention heatmaps, automatic AOIs, cognitive scores, and industry benchmark comparisons. These tools offer a comprehensive view of how content is likely to perform with the intended audience, driving informed design improvements for maximum impact.
