When to use AI Creative Insights vs panel-based testing

Overview

Decode gives you two ways to evaluate a creative. AI Creative Insights predicts how a creative is likely to perform using AI models trained on data from thousands of real participants. There are no participants in the study itself, and results are ready as soon as the file is processed. Panel-based testing puts the creative in front of real people, recruited through Decode Audience Cloud or brought in through Self-Recruit, and collects their actual responses.

These are not competing options. They sit at different points in the creative process, and most teams use both.

When AI Creative Insights is the right tool

Use AI Creative Insights when speed matters more than certainty and the question is about the creative itself rather than the audience.

You have several versions and need to narrow them down before spending on a full study. Upload all versions and compare their scores.
The creative is still being shaped and you want a fast read on visual hierarchy, message clarity, or stopping power before anything is finalised.
A creative is near final and you want a quick pre-launch check on its predicted performance.
You want to know how a creative compares to others in its category, using the Benchmark Score.

When panel-based testing is the right tool

Use panel-based testing when you need evidence from real people rather than a prediction.

You are making a final selection or launch decision and want it validated by your actual target audience.
You need to understand why a creative works or fails. Live research lets participants react, answer questions, and explain themselves. A prediction cannot do that.
The decision depends on a specific audience, and you need responses from people who match your screening criteria.

Using them together

The two work best in sequence. Run your creatives through AI Creative Insights first and use the scores, Heatmap, and Fogmap to identify the strongest options. Then take only the shortlist into a live qualitative or quantitative study to validate with real participants before final selection or launch. This keeps recruitment spend focused on the creatives that have already shown they are worth testing.

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