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 papers reveal how AI pricing algorithms can quietly collude, how LLMs alienate minority audiences, and why ad retrieval logic differs from organic feeds — with practical audit steps for marketers.
Three peer-reviewed studies examine generative AI in small business content, ethical governance frameworks, and cooperative brand strategy — with an honest read on what the evidence actually supports.
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.