Predict

Test ad creative against a neuroscience model before it ships

Intermediate
Screenshot of Predict, Test ad creative against a neuroscience model before it ships

What is Predict?

Predict is an AI tool. Neurons Predict scores ad creative against a neuroscience model trained on 100B+ data points, predicting attention, emotion, cognition and memory before an asset ships. Built for agencies and brand teams that want fewer subjective revision rounds.

Neurons Predict is a creative testing tool that estimates how people will respond to an ad before it runs. It comes from Neurons, a Danish company founded in 2013 by neuroscientist Dr. Thomas Zoëga Ramsøy, and its predictions are built on a proprietary database of brain responses gathered from more than 300,000 people worldwide. The pitch is straightforward: instead of arguing over subjective opinions in a review meeting, teams get scored predictions of attention, emotion, cognition and memory for a given asset. The scoring framework follows what Neurons calls the 4 Powers of Effective Advertising: attention, emotion, cognition and memory. Outputs include a focus score, areas of interest, attention percentage per element, a percentage-seen figure and relative attention for video, plus an emotional engagement score built from feelings such as trust, interest and motivation. Cognitive demand indicates whether an asset is easy or hard to process, and the memory layer separates ad memory from brand memory, which matters when a memorable character distracts from the brand itself. The homepage claims 95 percent predictive precision compared to research. The tool is aimed at creative teams, media agencies, brand marketers and insights departments that produce a lot of advertising and want to cut down on revision rounds. In practice a team uploads or tests creative, reviews the element-level scores, and iterates on layouts, copy, logo placement and visuals. Neurons positions Predict inside a wider stack that also covers media iteration, campaign analytics and campaign insights, so scores can later be connected to reach, click-through and conversion data. Where it fits among alternatives: most AI ad tools generate creative or forecast plain CTR. Predict is closer to a research platform, substituting modeled consumer neuroscience for traditional panel testing. It suits organizations with real ad spend at risk and a willingness to learn the metric vocabulary. Buyers should confirm the exact metric set and validation approach rather than assuming one score answers everything. Pricing is not published on the homepage. A demo request is the stated entry point.

How do you use Predict?

  1. 1See how the 4 Powers framework scores creative
    Read through the attention, emotion, cognition and memory sections on the homepage to understand what each score measures and at what exposure time it applies.
  2. 2Review the metrics guide and tech paper
    Download the in-depth metrics guide and the tech paper to learn how scores are computed and what the validation claims rest on.
  3. 3Request access through a demo
    Book a demo to get an account and see Predict applied to your own creative rather than sample assets.
  4. 4Run a first creative test
    Upload an ad or video asset in the app and review the element-level scores for logo, copy, product and headline.
  5. 5Iterate and connect results to media
    Compare variants, adjust the weakest elements, then use media iteration and campaign analytics to link scores to live performance.

Pros and cons

Pros

  • Predictions rest on a large proprietary dataset of brain responses from 300,000+ people, not a generic modelAI
  • Breaks attention down into useful detail: focus score, areas of interest, attention share, percentage seen and relative attentionAI
  • Goes beyond attention into emotion, cognitive demand and ad versus brand memory, which maps to real brand outcomesAI
  • Fits into a broader campaign lifecycle, with media iteration, campaign analytics and campaign insights alongside creative testingAI
  • Founded and led by a published neuroscientist, with academic partnerships and a public tech paper for scrutinyAI

Cons

  • No pricing published on the homepage, so budget planning requires a sales conversationAI
  • Predictions are modeled rather than measured on your actual audience, and independent validation is not shown on the siteAI
  • Metric vocabulary (relative attention, cognitive demand, emotional engagement) takes time to learn before scores are actionableAI
  • The homepage leans on agency logos and marketing language; concrete per-format limits and turnaround are not statedAI
  • Small advertisers with limited creative volume may find the research-grade framing heavier than their needsAI

How much does Predict cost?

Features

Scores ads on attention (focus score, areas of interest, attention share, percentage seen, relative attention for video), emotion (a combined emotional engagement score from engaging, exciting, trust, interest, motivation and happy), cognition (cognitive demand) and memory (ad memory versus brand memory). Sits alongside creative optimization, media iteration, campaign analytics and campaign insights modules.

Learn more

Frequently asked questions about Predict

  • How do you use Predict?
    The walkthrough on this page covers 5 steps: 1. See how the 4 Powers framework scores creative 2. Review the metrics guide and tech paper 3. Request access through a demo 4. Run a first creative test 5. Iterate and connect results to media.
  • What platforms does Predict support?
    Predict is available on Web App.
  • What are the limitations of Predict?
    No pricing published on the homepage, so budget planning requires a sales conversation. Predictions are modeled rather than measured on your actual audience, and independent validation is not shown on the site. Metric vocabulary (relative attention, cognitive demand, emotional engagement) takes time to learn before scores are actionable.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid