ACE Attention Static

Find out what Draws attention

What it is 

ACE Attention Static is an AI app designed to predict exactly where consumers' attention will focus on any static image asset. With instant feedback on critical attention metrics—such as heatmaps and attention distribution across key elements—this tool empowers users to refine their assets quickly, ensuring every design cuts through the visual clutter and key elements stand out.

What to Test

any static image files (JPEG, PNG) up to 10MB to analyze a wide range of creative assets, including:

Banners & Web Ads Flyers & Brochures Posters & Billboards Packaging & Product Labels

Point of Sale Displays Print Ads & Magazine Spreads Direct Mail Pieces Trade Show Graphics Catalogs & Lookbooks

Why Use It

Attention Static provides fast, reliable, and neuroscience-based insights that help your brand command attention and deliver more effective messaging. Key benefits include:

• Accurate Attention Prediction: Identify exactly where viewers' attention will go without costly eye-tracking studies.
• Instant Feedback for Iteration: Obtain real-time feedback on attention metrics, making it easy to test, tweak, and optimize.
• Enhanced Stopping Power: Ensure your creative assets stand out, grabbing and retaining attention for impactful consumer engagement.
• Efficient Optimization: Streamline the improvement process, saving time and budget by refining designs before production.

Understand what customers are seeing and if your product is cutting through

When to use it

Briefing:	Past Campaign Analysis Competitor Analysis: Evaluate attention patterns on competitor assets to inform strategic briefing. Goal Setting: Define attention metrics and key visual elements to prioritize, providing clear guidelines for design teams.
Development (Early Stage):	A/B Testing for Key Elements: Identify and test different design versions to see which elements grab attention most effectively. Iterative Optimization: Make fast adjustments to visual elements like colors, placements, or text to ensure they capture the desired attention.
Development (Late Stage):	Final Validation: Confirm that attention is directed towards critical brand elements—like logos, product names, and call-to-action areas—before the asset goes to production. Alignment with Brand Standards: Ensure the asset aligns with brand consistency, balancing attention capture with brand guidelines.
Pre-Launch	Simulated Context Testing: Evaluate the asset’s performance in different display contexts, such as shelves or digital environments, to validate stopping power and cut-through. Last-Minute Adjustments: Make final tweaks to maximize attention on key elements, reducing the risk of underperformance in-market.
Campaign Release and Ongoing Optimization	Live Campaign Monitoring: Use insights to adapt assets during the campaign if needed, ensuring visuals maintain impact. Post-Campaign Review: Analyze attention data to refine strategies for future campaigns, strengthening long-term brand effectiveness.

Want to know more about it? 
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