Agencies, Churn Models & AI Disclosure: 3 New Studies
Three new studies on AI in marketing: agency survival strategies, a 96%-accurate churn model, and a widening gap in AI disclosure. What holds up — and what doesn’t.
Three new studies on AI in marketing: agency survival strategies, a 96%-accurate churn model, and a widening gap in AI disclosure. What holds up — and what doesn’t.
Three new studies show how AI personalization, emotional AI trust, and chatbot native ads are reshaping consumer response — with clear splits by age, gender, and geography.
Three papers show the customer journey is being rerouted through AI: GEO tactics that lift Perplexity citations by 37%, AI agents acting as buyers, and a working blueprint for native LLM ads.
New AI marketing research: CRM outperformed chatbots as a bank revenue predictor, AI shopping agents may kill emotional loyalty, and many ‘AI forecasts’ are just memory retrieval.
Three new studies map where AI marketing is heading — generative recommenders, a three-bucket strategy framework, and the messy reality of adoption on the ground.
Three new studies on AI in marketing show that AI content, chatbots, and CRM tools aren’t neutral — they shape brand trust, client behavior, and financial results in specific, measurable ways.
Three peer-reviewed papers on AI-driven Gen Z marketing, LLM trend monitoring, and generative AI’s effect on creative work — with honest evidence checks and practical moves.
Two peer-reviewed papers unpack whether AI-generated visuals level the playing field on social media, and how AI agents are reshaping marketing decisions.
Three new papers on AI advertising research suggest that simpler personas, quality-gated ad auctions, and authentic-feeling creative outperform the more-is-better defaults most marketing teams use.
Three new preprints reshape how marketers should think about AI creativity, chatbot personality, and autonomous agents — with concrete tests to run before committing to defaults.