Neurons
Neurons Inc. · Marketing
Neurons is a Danish AI marketing research platform that predicts audience response to ads before launch. Its scores cover attention, emotion, cognition, and memory.
About Neurons
What Is Neurons
Neurons is a web platform from the Danish company Neurons Inc. that scores advertising and design work against a model of human attention. You upload a static ad, a video, or a VAST tag, and the system returns numbers for attention, emotional engagement, cognitive demand, and memory within minutes.
Neurons sits in a corner of consumer neuroscience that used to require lab time with eye trackers and EEG rigs. It exists because creative decisions usually run on opinion. A brand team argues over two headlines, a media team guesses which cut will hold viewers, and nobody has evidence until the campaign has already spent its budget. Neurons replaces that argument with a predicted response curve.
The limits matter as much as the promise. Every score is a prediction built from a research database, not a live test with your actual audience. A neuromarketing platform of this kind tells you which asset looks stronger before launch, and it can't tell you what your campaign will do once competitors, bidding, and seasonality enter the picture.
Getting Started
- Book a demo on the Neurons site and go through a short scoping call with their team.
- Pick a subscription package and get accounts for up to five users, with extra seats available.
- Upload creatives to the workspace, either one at a time or in bulk through the API.
- Read the scores by element, then export the report or push the metrics into your own dashboard.
Product Information
A quick look at Neurons's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Brand and campaign managers
- Media agencies
- Creative directors and designers
Tasks
- Testing ad creative before launch
- Choosing between media cuts
- Explaining campaign results
Scenarios
- A quarterly brand campaign with twenty assets and a tight approval window, where ad performance prediction has to hold up in a review meeting.
- A packaging or key visual review where the client keeps asking for changes.
- An always-on social account that needs a weekly check on new creative.
Key features
Attention Prediction
The platform breaks attention into separate readings rather than one score. You get a focus score, areas of interest for the logo, copy, and product, the share of attention each element captures, and the percentage of viewers who look at it at all. That element level view is what makes the output actionable, since a weak headline and a weak logo call for different fixes.
Emotional Engagement
Six emotional responses, including trust, interest, and excitement, are folded into one Emotional Engagement score. Neurons combines them because the individual emotions correlate closely in their data, and a single figure is easier to compare across assets than six separate bars.
Cognitive Demand
This metric estimates how hard an ad is to process. High demand means viewers need longer to work out what they're looking at, low demand means the message lands almost instantly. The useful range usually sits in the middle, and the platform shows where an asset falls on that scale.
Memory Scores
Neurons reports two memory numbers: ad memory, which asks whether the creative sticks, and brand memory, which asks whether your brand is what people remember. The split matters because a memorable character can carry a spot while leaving the logo forgotten, and the platform flags that tradeoff.
Creative Optimization Workflow
Assets sit in a shared workspace where teams compare versions side by side and leave comments. You can move from a rough brief to a final cut with fewer review rounds, and the scores give the internal debate something concrete to argue about.
Neurons API
The RESTful API takes creatives in bulk and returns JSON scores for attention, goal fit, and area of interest heatmaps. It accepts video, static, and animated assets through VAST, which suits platforms that want to score thousands of ads without manual uploads.
Pros and cons
Pros
- Element level attention data: this creative testing software shows which part of an asset holds the eye, not just whether the whole thing scored well.
- Fast turnaround: scores come back in minutes, so a review round no longer needs a week of scheduling.
- Research base behind the model: predictions are trained and tested against a database of more than 300,000 people.
- API for bulk work: teams running high volume can score creatives in batch and skip the manual upload loop.
- Enterprise setup: SOC 2 certification, Google Cloud hosting, and GDPR compliance cover the procurement questions most brands ask.
Cons
- No self-serve entry: you can't sign up and run a test on your own, so evaluating the tool means booking a demo first.
- Pricing stays behind a sales call: Starter, Pro, and Scale packages exist, but no list price is published, which makes budgeting awkward.
- Predictions aren't campaign results: scores guide creative choices, yet they can't account for bidding, competition, or audience fatigue.
- Metrics need interpretation: cognitive demand and relative attention reward some reading before a team can use them with confidence.
Frequently asked questions
It predicts four things about a creative: how attention is distributed, how engaging the ad feels, how much mental effort it takes to process, and what viewers remember. Each one comes back as a score you can compare across assets.
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