https://theexpertindex.ai/Published thinking from working experts, organised by field.enMon, 02 Nov 2026 18:48:04 +0000https://theexpertindex.ai/experts/marketing-advertising/jerry-west/check-your-own-data-before-shifting-budget-to-ai-channelshttps://theexpertindex.ai/experts/marketing-advertising/jerry-west/check-your-own-data-before-shifting-budget-to-ai-channelsMon, 02 Nov 2026 18:48:04 +0000Jerry WestMarketing & AdvertisingA gap in ad revenue growth between Meta and Google doesn't prove chatbots are taking search traffic, so marketers should check their own channel data first. Jerry argues that media claims tying Google's slower growth to chatbot adoption are not backed by the numbers, especially since paid search clicks rose. He urges marketers to review Search Console, AI referrals, and conversion data by source before changing budgets.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/platform-dashboards-should-not-grade-their-own-ad-spendhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/platform-dashboards-should-not-grade-their-own-ad-spendMon, 02 Nov 2026 12:35:06 +0000Jeff GreenfieldMarketing & AdvertisingBuyers should stop accepting a platform's own credit for conversions and ask what would change if the spend disappeared, because last-click reporting and incrementality measure different things. 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.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/platform-run-lift-tests-need-an-independent-second-readhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/platform-run-lift-tests-need-an-independent-second-readSun, 01 Nov 2026 13:39:05 +0000Jeff GreenfieldMarketing & AdvertisingLift reports from a platform that sells the media should be verified by an independent party using the advertiser's own analytics data before budgets move. 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.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/server-side-tracking-doesnt-fix-user-level-measurementhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/server-side-tracking-doesnt-fix-user-level-measurementSat, 31 Oct 2026 11:27:04 +0000Jeff GreenfieldMarketing & AdvertisingMoving data collection to the server changes where tracking is caught, not what is collected, so reporting should measure aggregate impact instead of individual paths. Jeff doubts that IAB Tech Lab's Trusted Server Framework answers Apple's Safari restrictions, since it still builds a trail on one person. He says the web has moved away from user-level tracking for years, and advises measuring what spend changed in aggregate.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/apples-crackdown-should-push-advertisers-to-aggregated-measurementhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/apples-crackdown-should-push-advertisers-to-aggregated-measurementFri, 30 Oct 2026 11:49:05 +0000Jeff GreenfieldMarketing & AdvertisingReporting that depends on following one person from click to purchase is already broken, so measurement should move to aggregated, incremental methods. Jeff says Apple's latest crackdown on fingerprinting and identity-stitching continues a decade-long push away from user-level tracking. He argues that advertisers still relying on stitched user paths are exposed and should move to aggregated, incremental measurement.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/stop-rebuilding-user-level-tracking-and-measure-in-aggregatehttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/stop-rebuilding-user-level-tracking-and-measure-in-aggregateThu, 29 Oct 2026 11:26:05 +0000Jeff GreenfieldMarketing & AdvertisingServer-side identity is another workaround for tracking browsers and platforms have already restricted, so marketers should measure in aggregate instead of paying to rebuild a view that's gone. Jeff argues that moving identity infrastructure server-side is just the latest circumvention of browser and walled-garden limits on user-level tracking. Teams that already moved to aggregate measurement are unaffected, while those rebuilding the old model gain only false confidence.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/server-side-tracking-patches-the-pipe-not-the-measurement-modelhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/server-side-tracking-patches-the-pipe-not-the-measurement-modelWed, 28 Oct 2026 15:21:04 +0000Jeff GreenfieldMarketing & AdvertisingMoving data collection server-side doesn't restore user-level tracking, so measurement should rest on outcomes and aggregated groups rather than rebuilt individual journeys. Jeff argues that server-side frameworks only move the collection point and don't change what marketers are permitted to see. With walled gardens blocking access and most of the journey already untrackable, he says measurement should shift to outcomes and aggregated data.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/user-level-tracking-is-over-and-marketers-must-use-aggregated-datahttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/user-level-tracking-is-over-and-marketers-must-use-aggregated-dataTue, 27 Oct 2026 12:42:04 +0000Jeff GreenfieldMarketing & AdvertisingApple's latest update ends user-level tracking, so marketers should stop trying to follow individuals and work with aggregated data instead. 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.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/marketers-should-adapt-to-youtube-shorts-favoring-original-creatorshttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/marketers-should-adapt-to-youtube-shorts-favoring-original-creatorsTue, 06 Oct 2026 12:23:04 +0000Jeff GreenfieldMarketing & AdvertisingYouTube's Shorts algorithm now favors original creators, so brands that commission fresh Shorts content will see more engagement than those repurposing older material. Jeff argues that marketers stuck on traditional metrics and established channels are missing YouTube's shift toward original creators. Brands that work with new creators on Shorts-specific content see stronger engagement, and originality now separates winners from the rest.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/marketers-who-rely-on-google-traffic-risk-losing-leads-to-tiktokhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/marketers-who-rely-on-google-traffic-risk-losing-leads-to-tiktokFri, 07 Aug 2026 11:37:03 +0000Jeff GreenfieldMarketing & AdvertisingMarketers who depend on Google traffic are losing leads and should diversify across platforms, because creators on TikTok are capturing the next wave of audience engagement. Jeff argues that marketers dependent on Google traffic are losing leads while TikTok creators gain engagement. After seeing a 40% drop in Google traffic, he says few marketers grasp how urgent platform diversification is, citing TikTok's Disney+ collaboration as evidence.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/creator-led-content-is-necessary-to-reach-gen-alphahttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/creator-led-content-is-necessary-to-reach-gen-alphaTue, 14 Jul 2026 11:47:03 +0000Jeff GreenfieldMarketing & AdvertisingBrands that stick with traditional media buys will lose relevance with Gen Alpha, because creator-led content now drives deeper engagement and loyalty. Jeff argues that the assumption that traditional media still works for Gen Alpha is wrong. He says retail brands shifting to creator-led content, which he likens to modern product placement, see stronger engagement and loyalty through direct creator-to-consumer connection.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/location-data-targeting-is-a-security-risk-marketers-must-drophttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/location-data-targeting-is-a-security-risk-marketers-must-dropSat, 30 May 2026 11:40:03 +0000Jeff GreenfieldMarketing & AdvertisingMarketers should replace location-based targeting with contextual signals, because location data carries serious privacy and security risks and more data does not mean better targeting. Jeff argues that using location data for targeting exposes marketers to privacy and national security risks, citing reports of U.S. troops being targeted. He says the belief that more data improves targeting is false, and context balances personalization with privacy better.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/measure-attribution-by-outcomes-not-clickshttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/measure-attribution-by-outcomes-not-clicksSat, 16 May 2026 18:59:03 +0000Jeff GreenfieldMarketing & AdvertisingBecause digital attribution keeps shifting, metrics should track actual business impact instead of clicks and other measures of activity. Jeff compares digital attribution to a puzzle whose pieces keep changing shape, reflecting an industry in constant flux. His answer is to prioritize outcomes over clicks, so that metrics show real impact instead of mere activity.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/last-click-attribution-rewards-the-wrong-workhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/last-click-attribution-rewards-the-wrong-workWed, 13 May 2026 12:36:03 +0000Jeff GreenfieldMarketing & AdvertisingLast-click attribution is outdated, and campaigns should be optimized to outcomes rather than clicks, which no longer capture the whole story. 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.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/last-click-attribution-is-outdated-and-multi-touch-attribution-shouldhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/last-click-attribution-is-outdated-and-multi-touch-attribution-shouldSat, 09 May 2026 11:46:02 +0000Jeff GreenfieldMarketing & AdvertisingLast-click attribution only records the final touch, so marketers who don't move to multi-touch models risk making decisions on an outdated and incomplete picture. 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.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/privacy-first-data-strategy-is-the-real-growth-lever-for-marketershttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/privacy-first-data-strategy-is-the-real-growth-lever-for-marketersSat, 25 Apr 2026 11:52:03 +0000Jeff GreenfieldMarketing & AdvertisingData access is a privilege, so marketers who build privacy-first, ethical data practices will adapt and survive better than those who cling to old tools. Jeff argues that marketers should stop chasing new platforms and instead master privacy-first data strategies. He says data is a privilege, that companies fail by ignoring this, and that adapting to tighter access matters more than strength.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/decision-makers-own-ai-outcomes-not-the-code-or-the-datahttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/decision-makers-own-ai-outcomes-not-the-code-or-the-dataThu, 23 Apr 2026 11:32:03 +0000Jeff GreenfieldMarketing & AdvertisingWhen AI-driven marketing fails, accountability rests with the people who choose how to use the tools and act on their output, not just the code. Jeff argues that AI failures in marketing usually trace back to human oversight rather than faulty algorithms. Flawless code can't fix bad data, so decision-makers must own their choices, accept AI's limits, and turn insights into action.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/googles-ai-max-could-make-legacy-attribution-strategies-obsoletehttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/googles-ai-max-could-make-legacy-attribution-strategies-obsoleteFri, 17 Apr 2026 11:29:03 +0000Jeff GreenfieldMarketing & AdvertisingGoogle's AI Max may render legacy attribution tools obsolete, so marketers need to pair data with narrative and intuition and rethink their strategies before reacting. 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.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/privacy-first-measurement-is-the-only-way-forwardhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/privacy-first-measurement-is-the-only-way-forwardThu, 16 Apr 2026 11:32:02 +0000Jeff GreenfieldMarketing & AdvertisingBecause data access is a privilege and not a right, measurement has to be built around privacy, with human intuition guiding how scarce data is used. Jeff argues that privacy-first measurement is necessary because data access is not guaranteed. He warns against treating data as an endless resource and says restricted access pushes teams toward human intuition, which even strong data depends on.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/ai-marketing-insights-fail-without-human-context-and-intuitionhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/ai-marketing-insights-fail-without-human-context-and-intuitionWed, 08 Apr 2026 11:47:03 +0000Jeff GreenfieldMarketing & AdvertisingAI marketing insights fail to drive action when they lack real-world context, human intuition, and a narrative that people can act on. Jeff argues that AI marketing insights stall because they lack human context, not because the technology is weak. Numbers alone don't persuade, so teams need empathy and narrative to turn data into action and avoid strategic misfires.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/privacy-first-measurement-is-replacing-click-counting-in-digitalhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/privacy-first-measurement-is-replacing-click-counting-in-digitalSat, 04 Apr 2026 11:30:03 +0000Jeff GreenfieldMarketing & AdvertisingDigital strategies that rely on clicks alone will fall behind as privacy-first measurement makes compliant, narrative-driven data the new standard. Jeff argues that clicks are now only part of measurement, and that privacy-first approaches are reshaping digital strategy. He says teams must turn numbers into narratives and keep AI-driven insights privacy compliant to build trust and stay relevant.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/ai-demands-a-rethink-of-the-entire-attribution-modelhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/ai-demands-a-rethink-of-the-entire-attribution-modelSun, 29 Mar 2026 12:13:02 +0000Jeff GreenfieldMarketing & AdvertisingAI only delivers real insight if marketers abandon legacy attribution methods and adopt real-time, privacy-first models, or they risk losing their competitive edge. 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.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/ai-chatbots-are-reshaping-multi-touch-attribution-and-legacy-systemshttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/ai-chatbots-are-reshaping-multi-touch-attribution-and-legacy-systemsTue, 17 Mar 2026 11:29:03 +0000Jeff GreenfieldMarketing & AdvertisingAttribution strategies built on legacy systems risk falling behind, so teams should invest in real-time, privacy-first models suited to AI-driven measurement. 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.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/marketers-who-delay-adopting-ai-risk-falling-behind-competitorshttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/marketers-who-delay-adopting-ai-risk-falling-behind-competitorsSun, 15 Mar 2026 14:42:02 +0000Jeff GreenfieldMarketing & AdvertisingMarketing teams that keep relying on outdated metrics and tactics risk irrelevance, so they should adopt AI-driven, privacy-compliant strategies now. 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.https://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/marketers-must-adapt-attribution-to-privacy-first-rules-quicklyhttps://theexpertindex.ai/experts/marketing-advertising/jeff-greenfield/marketers-must-adapt-attribution-to-privacy-first-rules-quicklySat, 07 Mar 2026 12:26:03 +0000Jeff GreenfieldMarketing & AdvertisingPrivacy-first attribution is now the standard, so marketers need to adopt privacy-respecting, AI-driven platforms that deliver real-time insights instead of relying on outdated models. 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.