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		<title>Snap Stops Grading Its Own Homework</title>
		<link>https://www.adexchanger.com/platforms/snap-stops-grading-its-own-homework/</link>
					<comments>https://www.adexchanger.com/platforms/snap-stops-grading-its-own-homework/#respond</comments>
		
		<dc:creator><![CDATA[Joanna Gerber]]></dc:creator>
		<pubDate>Wed, 20 May 2026 13:00:57 +0000</pubDate>
				<category><![CDATA[Platforms]]></category>
		<category><![CDATA[AppsFlyer]]></category>
		<category><![CDATA[attribution]]></category>
		<category><![CDATA[attribution reporting]]></category>
		<category><![CDATA[Fintan Gillespie]]></category>
		<category><![CDATA[MMP]]></category>
		<category><![CDATA[MMPs]]></category>
		<category><![CDATA[Shobha Diwakar]]></category>
		<category><![CDATA[Snap]]></category>
		<category><![CDATA[SnapChat]]></category>
		<category><![CDATA[Unified Attribution]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=459433</guid>

					<description><![CDATA[<p>Advertisers don’t always trust the measurement they get directly from ad platforms. Snap gets it. Buyers need third-party measurement and a system with checks and balances to “assign credit where credit is due,” Fintan Gillespie, Snap’s global director of ad partnerships, told AdExchanger. On Wednesday, Snap announced a new product called Unified Attribution that aligns [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/platforms/snap-stops-grading-its-own-homework/" data-wpel-link="internal">Snap Stops Grading Its Own Homework</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
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		<title>Three Takeaways From POSSIBLE That Signal Where CTV Is Headed Next</title>
		<link>https://www.adexchanger.com/content-studio/three-takeaways-from-possible-that-signal-where-ctv-is-headed-next/</link>
					<comments>https://www.adexchanger.com/content-studio/three-takeaways-from-possible-that-signal-where-ctv-is-headed-next/#respond</comments>
		
		<dc:creator><![CDATA[AdExchanger Content Studio]]></dc:creator>
		<pubDate>Wed, 20 May 2026 12:00:40 +0000</pubDate>
				<category><![CDATA[Content Studio]]></category>
		<category><![CDATA[AI in advertising]]></category>
		<category><![CDATA[Blake Hebert]]></category>
		<category><![CDATA[connected TV]]></category>
		<category><![CDATA[contextual targeting]]></category>
		<category><![CDATA[converged TV buying]]></category>
		<category><![CDATA[cross-channel measurement]]></category>
		<category><![CDATA[CTV Advertising]]></category>
		<category><![CDATA[media optimization]]></category>
		<category><![CDATA[Omnichannel marketing]]></category>
		<category><![CDATA[possible 2026]]></category>
		<category><![CDATA[Premion]]></category>
		<category><![CDATA[Streaming TV]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=459412</guid>

					<description><![CDATA[<p>Coming back from POSSIBLE last month, one thing stood out to me: Streaming TV has entered a much more operational phase. The conversation has evolved from where streaming is headed to how marketers drive better performance today. The content and conversations focused on how AI can improve campaign execution, how data can sharpen targeting and [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/content-studio/three-takeaways-from-possible-that-signal-where-ctv-is-headed-next/" data-wpel-link="internal">Three Takeaways From POSSIBLE That Signal Where CTV Is Headed Next</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
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		<title>Brands Don’t Need Perfect Data To Use AI</title>
		<link>https://www.adexchanger.com/data-driven-thinking/brands-dont-need-perfect-data-to-use-ai/</link>
					<comments>https://www.adexchanger.com/data-driven-thinking/brands-dont-need-perfect-data-to-use-ai/#respond</comments>
		
		<dc:creator><![CDATA[AdExchanger Guest Columnist]]></dc:creator>
		<pubDate>Wed, 20 May 2026 04:35:02 +0000</pubDate>
				<category><![CDATA[Data-Driven Thinking]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[data governance]]></category>
		<category><![CDATA[data hygiene]]></category>
		<category><![CDATA[incrementality testing]]></category>
		<category><![CDATA[Matt Emans]]></category>
		<category><![CDATA[measurement and attribution]]></category>
		<category><![CDATA[MMM]]></category>
		<category><![CDATA[Newton Research]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=459418</guid>

					<description><![CDATA[<p>There is a common refrain that AI requires high-quality data to deliver high-quality results. “Garbage in/garbage out” refers to the idea that any AI trained on less than perfect data will not be able to produce valuable outputs. Before I get accused of dismissing the importance of quality data, high-quality data does produce the best [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/data-driven-thinking/brands-dont-need-perfect-data-to-use-ai/" data-wpel-link="internal">Brands Don’t Need Perfect Data To Use AI</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
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		<title>Are Chatbots Replacing Search?; AI Is Muddying How Ad Tech Describes Itself</title>
		<link>https://www.adexchanger.com/daily-news-roundup/wednesday-20052026/</link>
					<comments>https://www.adexchanger.com/daily-news-roundup/wednesday-20052026/#respond</comments>
		
		<dc:creator><![CDATA[AdExchanger]]></dc:creator>
		<pubDate>Wed, 20 May 2026 04:03:39 +0000</pubDate>
				<category><![CDATA[Daily News Roundup]]></category>
		<category><![CDATA[Ad context Protocol]]></category>
		<category><![CDATA[AI slop]]></category>
		<category><![CDATA[ARTF]]></category>
		<category><![CDATA[BBC together with the Financial Times]]></category>
		<category><![CDATA[Chalice]]></category>
		<category><![CDATA[ChatGPT]]></category>
		<category><![CDATA[Cognitiv]]></category>
		<category><![CDATA[containerization]]></category>
		<category><![CDATA[Debra Aho Williamson]]></category>
		<category><![CDATA[Equativ]]></category>
		<category><![CDATA[generative AI search]]></category>
		<category><![CDATA[google search]]></category>
		<category><![CDATA[IAB]]></category>
		<category><![CDATA[MRI Simmons]]></category>
		<category><![CDATA[OpenAI]]></category>
		<category><![CDATA[Programmatic AI 2026]]></category>
		<category><![CDATA[Sky News]]></category>
		<category><![CDATA[Sonata Insights]]></category>
		<category><![CDATA[SSPs]]></category>
		<category><![CDATA[The Guardian]]></category>
		<category><![CDATA[The Telegraph]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=459440</guid>

					<description><![CDATA[<p>Chat To Cart As more people use AI chatbots for, well, everything, advertisers need to blow up their old playbook. Take product research. Brands have a tremendous opportunity to get in front of consumers as they move away from classic Google Search in favor of recommendations from AI, according to Debra Aho Williamson, founder of [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/daily-news-roundup/wednesday-20052026/" data-wpel-link="internal">Are Chatbots Replacing Search?; AI Is Muddying How Ad Tech Describes Itself</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
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		<title>Influencer Marketing Grows Up</title>
		<link>https://www.adexchanger.com/adexchanger-talks/influencer-marketing-grows-up/</link>
					<comments>https://www.adexchanger.com/adexchanger-talks/influencer-marketing-grows-up/#respond</comments>
		
		<dc:creator><![CDATA[Allison Schiff]]></dc:creator>
		<pubDate>Tue, 19 May 2026 10:00:27 +0000</pubDate>
				<category><![CDATA[AdExchanger Talks]]></category>
		<category><![CDATA[creator monetization]]></category>
		<category><![CDATA[influencer marketing]]></category>
		<category><![CDATA[Influential]]></category>
		<category><![CDATA[publicis]]></category>
		<category><![CDATA[Ryan Detert]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=459381</guid>

					<description><![CDATA[<p>Influencer marketing used to be the squishy line on a media plan. Marketers would choose who to work with based on follower counts and gut feel. But now influencer is a performance channel – and creators are media channels in their own right, with loyal audiences, CPMs and measurement expectations to match. “If I’m a [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/adexchanger-talks/influencer-marketing-grows-up/" data-wpel-link="internal">Influencer Marketing Grows Up</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
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		<title>Writing Content For The Robots; Amazon’s Alarming Affiliate Adjustments</title>
		<link>https://www.adexchanger.com/daily-news-roundup/writing-content-for-the-robots-amazons-alarming-affiliate-adjustments/</link>
					<comments>https://www.adexchanger.com/daily-news-roundup/writing-content-for-the-robots-amazons-alarming-affiliate-adjustments/#respond</comments>
		
		<dc:creator><![CDATA[AdExchanger]]></dc:creator>
		<pubDate>Tue, 19 May 2026 05:30:41 +0000</pubDate>
				<category><![CDATA[Daily News Roundup]]></category>
		<category><![CDATA[affiliate advertising]]></category>
		<category><![CDATA[amazon]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[political ads]]></category>
		<category><![CDATA[The Economist]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=459389</guid>

					<description><![CDATA[<p>Tale of Two Webs As AI answer engines reshape how audiences discover journalism, The Economist is quietly preparing for what Josh Muncke, VP of generative AI calls “two versions of the web.” The publisher is testing stripped-down, agent readable content built for ChatGPT, Gemini and Claude, Digiday reports.  “We want our marketing content to be [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/daily-news-roundup/writing-content-for-the-robots-amazons-alarming-affiliate-adjustments/" data-wpel-link="internal">Writing Content For The Robots; Amazon’s Alarming Affiliate Adjustments</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
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		<item>
		<title>Ogilvy CIO Says AI Is A Handy Tool, But The Real Magic Is In Human “Provocateurs”</title>
		<link>https://www.adexchanger.com/agencies/ogilvy-cio-says-ai-is-a-handy-tool-but-the-real-magic-is-in-human-provocateurs/</link>
					<comments>https://www.adexchanger.com/agencies/ogilvy-cio-says-ai-is-a-handy-tool-but-the-real-magic-is-in-human-provocateurs/#respond</comments>
		
		<dc:creator><![CDATA[Joanna Gerber]]></dc:creator>
		<pubDate>Tue, 19 May 2026 05:00:52 +0000</pubDate>
				<category><![CDATA[Agencies]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Carol Reed]]></category>
		<category><![CDATA[Innovation]]></category>
		<category><![CDATA[Laurent Ezekiel]]></category>
		<category><![CDATA[Ogilvy]]></category>
		<category><![CDATA[partnerships]]></category>
		<category><![CDATA[reddit]]></category>
		<category><![CDATA[WPP]]></category>
		<category><![CDATA[WPP Open]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=458644</guid>

					<description><![CDATA[<p>The word “innovation” gets thrown around in every press release and new product announcement, but what does it actually mean? Carol Reed, Ogilvy’s new chief innovation officer, says one of the key elements of innovation is knowing what sort of companies to partner with – the “usual suspects,” like media, social and tech platforms, but [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/agencies/ogilvy-cio-says-ai-is-a-handy-tool-but-the-real-magic-is-in-human-provocateurs/" data-wpel-link="internal">Ogilvy CIO Says AI Is A Handy Tool, But The Real Magic Is In Human “Provocateurs”</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
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		<title>Publicis Acquires LiveRamp In A Major Shakeup For Indie Data Collaboration</title>
		<link>https://www.adexchanger.com/marketers/publicis-acquires-liveramp-in-a-major-shakeup-for-indie-data-collaboration/</link>
					<comments>https://www.adexchanger.com/marketers/publicis-acquires-liveramp-in-a-major-shakeup-for-indie-data-collaboration/#respond</comments>
		
		<dc:creator><![CDATA[James Hercher]]></dc:creator>
		<pubDate>Mon, 18 May 2026 14:45:42 +0000</pubDate>
				<category><![CDATA[Marketers]]></category>
		<category><![CDATA[acquisition]]></category>
		<category><![CDATA[featured]]></category>
		<category><![CDATA[LiveRamp]]></category>
		<category><![CDATA[M&A]]></category>
		<category><![CDATA[Publicis Groupe]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=459367</guid>

					<description><![CDATA[<p>Hundreds of exasperated and unexpected ad industry phone calls were made on Sunday, as agencies and ad tech vendors discussed the fallout of Publicis Groupe’s $2.2 billion acquisition of LiveRamp over the weekend. Publicis has roughly doubled its market cap over the past four years, as other agency holdcos and ad tech businesses have struggled. [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/marketers/publicis-acquires-liveramp-in-a-major-shakeup-for-indie-data-collaboration/" data-wpel-link="internal">Publicis Acquires LiveRamp In A Major Shakeup For Indie Data Collaboration</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
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		<title>These AI Agents Want To Handle All The Annoying Parts Of Media Buying</title>
		<link>https://www.adexchanger.com/ai/these-ai-agents-want-to-handle-all-the-annoying-parts-of-media-buying/</link>
					<comments>https://www.adexchanger.com/ai/these-ai-agents-want-to-handle-all-the-annoying-parts-of-media-buying/#respond</comments>
		
		<dc:creator><![CDATA[Allison Schiff]]></dc:creator>
		<pubDate>Mon, 18 May 2026 13:00:52 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[Agentic Workflows]]></category>
		<category><![CDATA[featured]]></category>
		<category><![CDATA[Kovva]]></category>
		<category><![CDATA[kyle dozeman]]></category>
		<category><![CDATA[Martin]]></category>
		<category><![CDATA[pubmatic]]></category>
		<category><![CDATA[Tanja Mimica]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=459342</guid>

					<description><![CDATA[<p>It’s the great irony of programmatic. The bidding is automated down to the millisecond, but the day-to-day work of running campaigns is still largely manual, from copying data between systems and reconciling reports to running QA checks and drafting explanations for clients when metrics don’t line up. “Inside of the platforms, it’s AI everywhere – but [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/ai/these-ai-agents-want-to-handle-all-the-annoying-parts-of-media-buying/" data-wpel-link="internal">These AI Agents Want To Handle All The Annoying Parts Of Media Buying</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
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		<title>‘I Don’t Think I’m A Data Broker’ Is Not A Defense</title>
		<link>https://www.adexchanger.com/data-privacy-roundup/i-dont-think-im-a-data-broker-is-not-a-defense/</link>
					<comments>https://www.adexchanger.com/data-privacy-roundup/i-dont-think-im-a-data-broker-is-not-a-defense/#respond</comments>
		
		<dc:creator><![CDATA[Allison Schiff]]></dc:creator>
		<pubDate>Mon, 18 May 2026 05:00:28 +0000</pubDate>
				<category><![CDATA[Data Privacy Roundup]]></category>
		<category><![CDATA[California Delete Act]]></category>
		<category><![CDATA[CalPrivacy]]></category>
		<category><![CDATA[Connecticut Data Privacy Act]]></category>
		<category><![CDATA[data broker registry]]></category>
		<category><![CDATA[DROP]]></category>
		<category><![CDATA[Frankfurt Kurnit Klein and Selz]]></category>
		<category><![CDATA[Network Advertising Initiative]]></category>
		<category><![CDATA[Tony Ficarrotta]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=459065</guid>

					<description><![CDATA[<p>Just because a company doesn’t see itself as a data broker when it looks in the mirror doesn’t mean regulators would agree. “‘I’m not a data broker’ – that’s probably what a lot of you in this room think,” said Tony Ficarrotta, VP and general counsel of the Network Advertising Initiative, addressing a small group [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/data-privacy-roundup/i-dont-think-im-a-data-broker-is-not-a-defense/" data-wpel-link="internal">‘I Don’t Think I’m A Data Broker’ Is Not A Defense</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
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