Did you know that AI can predict how much traction an ad design will receive?
This was news to me until I recently received an email from Hearst Media with an AI-generated ad score. Using artificial intelligence, they analyzed the design based on predetermined criteria. After providing scores, AI offered insights for improvement.
But can AI truly evaluate an ad’s effectiveness? Should non-humans be rating ad designs? Let’s dive into how AI scoring works, its potential benefits, and the ethical concerns it raises.
How AI Scoring Works
AI scoring is a technology that predicts how well an ad is designed and estimates its engagement potential based on predetermined criteria.
Companies like Hearst Media use AI to analyze ads using factors such as:
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Content Evaluation
Does the ad clearly convey its message?
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Engagement Prediction
How likely is the ad to capture attention?
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Targeted Advertising
How likely is the ad to capture attention?
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Real-Time Insights
How can the ad be improved for better performance?
Once an ad is scored, AI suggests improvements based on elements like:
Headline clarity Visibility & layout Brand messaging Use of diverse images
Why Are Companies Using AI Scoring?
Companies are always looking for ways to track ROI, save money, reduce waste, and like anyone they want to mitigate potential crisis conflicts. In essence, they want to ensure that their ads appeal to their target audience. AI scoring can provide real-time data that helps to evaluate the effectiveness of design, and helps designers learn how to improve their designs for better engagement.
Why Does AI Scoring Matter?
In a world where audiences are constantly bombarded with messages and visuals, ensuring your ad makes a lasting impact is crucial. However, companies often have design biases and may resist refining their ads. I’ve heard clients say,
“This is how we’ve always done it” or “We appreciate your suggestion, but we prefer to proceed this way.”
Additionally, ad approvals are sometimes made by individuals outside of marketing or communications, leading to poor design scores.
AI scoring offers data-driven insights to help businesses assess ad effectiveness before launching campaigns, ultimately saving time and money. But can it truly replace human evaluation?
Is AI Scoring Ethical?
AI scoring raises important questions:
Should AI dictate what makes an ad successful? What happens when a designer’s creative vision conflicts with AI recommendations? Should clients trust AI data over human expertise?
If a designer has years of experience to support their decisions and a strong, collaborative relationship with the client, the approver should, in theory, trust their expertise. But will AI scores outweigh human insight?
Key Takeaways?
Overall, Ai ad design scoring can provide great insights and real-time data. However, I think that humans trained in graphic design are still the best for ad scoring. No matter how much predetermined criteria is entered, ai can’t pick up subtle elements that a human is privy to.
Should designers push back on AI-driven decisions? Leave a comment below with your thoughts.
