Artificial Intelligence Increases Return on Ad Spend by 23 Percent for Enterprise Companies According to 2026 Research

Enterprise marketing research reportedly observed a noticeable improvement in return on ad spend among companies that adopted artificial intelligence tools across the full marketing cycle, with the average improvement reaching 23 percent compared to traditional companies in the same sector.

The referenced artificial intelligence applications include automated ad personalization tools and real-time bid optimization, as well as audience behavior analysis and identifying optimal targeting segments for each campaign.

These tools lead in the e-commerce, financial services, and consumer goods sectors, which are characterized by large data volumes that allow smart models to train more effectively and achieve measurable results.

However, industry experts point out that artificial intelligence results remain dependent on input data quality and marketing strategy consistency, and that these figures represent averages that may vary by sector and budget size.

What do these terms mean?

Return on Ad Spend (ROAS): A metric that measures the revenue generated for every currency unit spent on advertising; the higher this figure, the greater the campaign efficiency.

Bid Optimization: An automated process that automatically adjusts the price an advertiser pays to show their ad based on conversion likelihood, target audience, and time.