Topic
Every post on the Index about marketing attribution.
Jeff argues that Google search escaped scrutiny because its dashboards looked good. Last-click credit and incremental impact answer different questions, and brand search shows the gap. Buyers should test what changes without the spend, and search must prove it earns its budget.
Jeff welcomes Reddit's new incrementality tools but says the seller shouldn't be the only one grading its own test. He recommends checking any platform's lift report with an independent vendor, using the advertiser's own analytics data.
Jeff argues that Apple's latest announcement finishes off user-level tracking, following years of cookie deprecation and iOS changes. With most of the user journey now untraceable, he says marketers should stop chasing individuals and adopt aggregated data.
Jeff argues that last-click attribution no longer fits an AI-first world and steers teams toward the wrong work. He says he has watched campaigns fail by chasing the wrong metrics, and urges optimizing to outcomes instead of clicks.
Jeff argues that last-click attribution is outdated now that algorithms learn and predict. He says multi-touch attribution shows the whole customer journey, and that marketers who don't adapt risk running obsolete campaigns.
Jeff warns that Google's AI Max could quickly sideline legacy attribution tools and put unadapted strategies at risk. He draws on a past case of strong data going unused for lack of narrative, and urges marketers to innovate with intuition.
Jeff argues that AI can produce valuable insights only when teams rebuild their attribution models rather than cling to legacy systems. He says AI platforms support real-time decisions and that privacy-first models are essential for compliance and trust.
Jeff argues that AI chatbots are changing how attribution works, with real-time insights and privacy-first models becoming essential. He warns that teams relying on legacy systems lose agility and should invest in real-time capabilities.
Jeff argues that AI is a transformation in marketing, not just a tool. He says real-time, privacy-compliant platforms offer a competitive edge, and that teams relying on yesterday's metrics will lose agility to competitors who adopt AI first.
Jeff argues that privacy rules are reshaping attribution and that marketers who keep outdated models will lose agility. He urges investing in AI-driven platforms that respect privacy while delivering real-time, precise attribution.