Kroger Uses AI to Predict Ad Performance Before Spending Happens

The Study and Its Results

Researchers analyzed more than 1,900 video and image assets from Kroger’s past campaigns on Meta and Google’s DV360 platform. They used machine learning to identify which creative elements, such as messaging style, on-screen human presence, narrative structure, and branding choices, correlated strongest with e-commerce purchases. The predictive model achieved 81% accuracy when forecasting whether customers would actually buy after seeing an ad. This represents a major step forward in Kroger’s AI strategy and digital advertising capabilities.

The implications are substantial. Ads that followed the model’s recommendations generated four times higher conversion rates on average. More striking still, reallocating ad spending away from underperforming creative and toward higher-scoring assets could generate twice as many conversions from the same total budget. This means Kroger and other retailers no longer need to spend advertising dollars blindly and hope performance data comes later.

What This Means for Shoppers

For consumers, this development translates to more relevant and effective online grocery shopping experiences. Rather than seeing poorly targeted ads that waste Kroger’s marketing budget, shoppers are more likely to encounter advertisements tailored to drive actual purchases. When companies can test creative effectiveness upfront, they make smarter spending decisions, which ultimately keeps costs down and improves service quality.

Additionally, this technology helps Kroger compete more effectively in the crowded retail grocery market. By optimizing every advertising dollar, the company can invest more in customer benefits like competitive pricing, loyalty rewards, and product selection.

The Bigger Picture in Advertising

This predictive approach challenges a long-standing industry habit of spending money on ads first and analyzing results afterward. Executives from Vidmob noted that historically, marketers created advertisements, spent budgets behind them, and only then made optimizations once performance data arrived. The ability to evaluate creative quality before launch represents a fundamental shift in how advertising decisions are made.

The breakthrough also highlights a persistent gap in how marketing budgets are allocated. For years, the industry separated creative investments from media spending, often treating creative as a cost center while treating media placement as the true investment. Yet multiple studies show that creative quality drives 50% to 70% of advertising results. The Kroger-Vidmob partnership provides hard evidence that creative decisions directly impact sales outcomes.

Challenges From Rapid Content Growth

The timing of this research is particularly relevant as retailers and brands face an explosion in content volume. Generative AI tools now allow companies to produce dozens or hundreds of variations on advertisements quickly and affordably. Without a reliable predictive scoring system, this abundance of assets could lead to wasted spending on ineffective creatives. Predictive analysis helps marketers sift through large volumes of content and identify winners before budgets are committed.

This is also valuable for creator partnerships and influencer collaborations. Independent creators depend on performance-based compensation, and having clear data about which creative approaches drive conversions helps them refine their content strategy and increase their earnings.

Tools and Future Implementation

To help other marketers adopt these insights, Vidmob launched a platform called Vidmob360 that connects creative performance data with popular AI tools like Claude, ChatGPT, and Copilot. The platform also provides machine-readable recommendations that guide specific creative adjustments. As more businesses adopt the same general AI tools, having unique creative performance data becomes a competitive advantage.

The study demonstrates that the formula for better advertising performance involves combining three elements: understanding what makes certain creative attributes effective, using AI to predict performance before launch, and reallocating budgets toward higher-scoring content. Kroger’s success with this approach suggests other retailers will likely follow.

What Shoppers Should Watch

As retailers implement predictive creative scoring, shoppers can expect more personalized and relevant advertising experiences. Grocery chains that nail this technology gain an edge in customer acquisition and retention. For budget-conscious shoppers, more efficient marketing spending by retailers can mean better prices and promotions, since savings from smarter ad spending can be passed along to consumers.