{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Pure Intel Executive Briefing","title":"Executive Briefing: Saturday 10 October","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/2ec527c4\"></iframe>","width":"100%","height":180,"duration":258,"description":"Executive summary\nGlobal advertising spend is set to climb significantly in 2026, yet marketers face substantial waste in programmatic channels. Artificial intelligence is rapidly redefining competitive landscapes in retail search, while major agency groups are realigning leadership and strategies for the evolving media environment. These shifts highlight a critical need for smarter investment and proactive intelligence across all marketing functions.\nMarketers waste billions on Made-for-Advertising sites\nAdvertisers wasted an estimated $13 billion on Made-for-Advertising (MFA) sites in 2023 alone, according to the Association of National Advertisers. These sites, designed solely to siphon programmatic ad budgets, comprised 21% of programmatic ad impressions and attracted 15% of ad spend. MFA sites publish low-effort, often machine-written content, pack pages with ads, and acquire cheap traffic through arbitrage, creating a business model that provides zero value to brands beyond generating impressions. This extensive waste means that only 36 cents of every dollar entering a demand-side platform effectively reaches the end consumer, with 35% lost to low-value environments like MFA sites, highlighting a critical need for greater scrutiny in programmatic media buying.\nAI reshapes competitive landscape in retail search\nArtificial intelligence is fundamentally altering how consumers discover retailers, presenting a new competitive dynamic for brands. A study found that when customers asked AI for appliance retailer recommendations, previously untracked businesses appeared prominently, with one online retailer named in 99% of AI answers for appliance questions. The competitive set identified by AI models like OpenAI, Gemini, and Claude often differs significantly from traditional market tracking, and even shifts based on the specificity of the consumer's query, such as asking for \"real-time availability\" versus \"best retailer.\" This means retailers tracking only...","thumbnail_url":"https://img.transistorcdn.com/-ETgL0biH6tj05_Ar3T1CMU_e32ltDSXoldIiaztpHk/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hYzE0/YmY3NzcwNDc5ZjE3/NzQ0ZTRlOWJmMjE5/ZmY2NC53ZWJw.webp","thumbnail_width":300,"thumbnail_height":300}