Package Design Optimization

Instantly understand what draws visual attention on your packaging with AI-powered Attention Predictor™ - trained on real eye-tracking data. Share your designs to get heatmaps for different timeranges, gaze paths, and predictive AOI metrics like VAI, Reach, Speed, and Hold.

Challenge

Solution

In packaging design, teams often struggle to ensure that the most important elements - brand name, product claims, and calls to action - attract attention quickly.

Traditional methods like in-store testing or focus groups are costly, slow, and often too late to influence early creative decisions.

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Attention Predictor™ uses AI trained on real eye-tracking data to simulate consumer visual engagement with packaging.

By uploading your concepts, you gain instant access to heatmaps, viewing paths, and predictive AOI metrics - enabling faster concept testing!

Example Use Case
Coffee Packaging Analysis

Explore a step-by-step analysis of Coffee Packaging using the Attention Predictor™.

Project Goal

Evaluate whether key elements - logo, brand name, and coffee information - effectively capture consumer attention over time, by analyzing attention distribution across several predicted time intervals.

Original package design

Workflow

From concept to insights in 4 simple steps. Our streamlined process transforms your packaging designs into actionable attention data, helping you make decisions faster.

1

Design Submission

Your Design JPG • PNG • WEBP Attention Predictor™ powered by
2

Define Areas of Interest (AOIs)

Mark specific elements you want to measure - brand logos, product claims, call-to-action buttons, or any visual component important to your marketing goals.

3

Generate Comprehensive Analytics

Within minutes, receive detailed predictions across three key analysis types that reveal different aspects of visual attention behavior.

Attention Heatmaps over Time

Comprehensive heatmaps showing predicted attention patterns for: VAI (overall attention), Speed (first fixations), Hold (duration), and Reach (visibility probability). Predictions are made for different timeranges (0.5-10 seconds), to understand how attention evolves over time.

VAI
Input image at 0s Heatmap at 500ms Heatmap at 500ms
0.5s
Speed
Heatmap at 500ms Heatmap at 1000ms
0.5s
Reach
Heatmap at 500ms Heatmap at 1000ms Heatmap at 3000ms Heatmap at 5000ms Heatmap at 10000ms
0.5s
Hold
Heatmap at 500ms Heatmap at 1000ms Heatmap at 3000ms Heatmap at 5000ms Heatmap at 10000ms
0.5s

Scanning Path

Visual representation of the predicted sequence and flow of attention across your design, showing how viewers' eyes are likely to move from element to element over time.

Scanning Path visualization

Detailed Metrics

Quantified metrics for each AOI including attention scores, viewing probability percentages, and time-to-first-fixation data - all backed by real eye-tracking research.

Detailed metrics analysis part 1 Detailed metrics analysis part 2
4

Optimize & Iterate

Use insights to refine your design, test multiple variations, and compare performance across different concepts before final production or campaign launch. Perfect for A/B testing different design elements to identify the most attention-grabbing combinations.

V1
V2

Ready to Optimize Your Package Design?

Get started with attention prediction and create packaging that stands out with data-driven insights.