AI Marketing Performance Research: What Actually Creates the Edge?

If every marketing team is buying the same AI platforms, the same targeting features, and the same dashboards — what actually creates a lasting edge? That's the question both papers this week are circling. And the answer is more inconvenient than most vendors want you to hear. In this Research Radar Brief, Dr. Eva Wolf reviews 2 recent AI marketing research papers covering AI-driven marketing performance, customer data as competitive advantage, and integrated AI deployment in direct-to-consumer businesses. Both papers carry methodological caveats that matter — and Dr. Wolf flags them directly. What you'll hear about: - Why proprietary customer data may matter more than the AI tools themselves - What 15 confidential AI marketing implementations reported for conversion, acquisition cost, and return on ad spend — and why those numbers need careful interpretation - Why bolting one AI tool onto your marketing stack is unlikely to deliver the growth benefits the research describes - How neural network models compare to conventional methods for predicting customer lifetime value - The cultural and organizational factors that appear to separate successful AI rollouts from stalled ones - Key limitations in both studies that should inform how much weight you give the reported figures Papers covered: 1. AI-Driven Marketing Models as a Competitive Advantage in Global Markets - Kalinina Elena Evgenievna (2026) - Source type: Peer-reviewed journal article (use cautiously) - Access: Open access - Source: https://doi.org/10.29013/ejems-26-2-61-65 2. Integrated AI-Driven Marketing Growth Models for Scaling Businesses in Competitive Direct-to-Consumer Landscapes - Dineth Ratnayake (2026) - Source type: Zenodo deposit — venue credibility uncertain (use cautiously) - Access: Open access - Source: https://doi.org/10.5281/zenodo.19725980 Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-marketing-performance-competitive-advantage-data-culture-2026-05-23 Disclaimer: This is a first-pass research briefing, not a final academic review. Summaries reflect available evidence; findings should be interpreted in light of each study's limitations. Read the original papers before making decisions. -- This is a first-pass research briefing, not a final academic review. Read the original papers before making major marketing or business decisions. AI & Marketing Research Radar is produced by BigPlans Media. Subscribe wherever you listen to podcasts.