<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>AdExchanger</title>
	<atom:link href="https://www.adexchanger.com/feed/" rel="self" type="application/rss+xml" />
	<link>https://www.adexchanger.com/</link>
	<description>News and Views on Data-Driven Digital Advertising and Marketing</description>
	<lastBuildDate>Tue, 20 Oct 2026 05:16:51 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://www.adexchanger.com/wp-content/uploads/2023/12/cropped-adx-icon-1-32x32.png</url>
	<title>AdExchanger</title>
	<link>https://www.adexchanger.com/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>AI Slop Sites Are On The Rise. Is Ad Tech Ready For Its New MFA Challenge?</title>
		<link>https://www.adexchanger.com/programmatic/ai-slop-sites-are-on-the-rise-is-ad-tech-ready-for-its-new-mfa-challenge/</link>
					<comments>https://www.adexchanger.com/programmatic/ai-slop-sites-are-on-the-rise-is-ad-tech-ready-for-its-new-mfa-challenge/#respond</comments>
		
		<dc:creator><![CDATA[<img src="https://www.adexchanger.com/wp-content/uploads/2026/07/2304-120x120.jpg"
     alt="Photo of Anthony Vargas"
     width="60"
     height="60"
     class="ai-author-image ai-author-image--circle ai-author-image--inline rounded-circle shadow-offset"
     loading="lazy">
 Anthony Vargas]]></dc:creator>
		<pubDate>Tue, 20 Oct 2026 08:00:00 +0000</pubDate>
				<category><![CDATA[Programmatic]]></category>
		<category><![CDATA[AdMatic]]></category>
		<category><![CDATA[AI-generated websites]]></category>
		<category><![CDATA[Between Digital]]></category>
		<category><![CDATA[Culture G]]></category>
		<category><![CDATA[Cybersecurity]]></category>
		<category><![CDATA[DecryptAds]]></category>
		<category><![CDATA[ezoic]]></category>
		<category><![CDATA[featured]]></category>
		<category><![CDATA[google]]></category>
		<category><![CDATA[HBAgency]]></category>
		<category><![CDATA[Kean Graham]]></category>
		<category><![CDATA[malvertising]]></category>
		<category><![CDATA[MFA]]></category>
		<category><![CDATA[Mintegral]]></category>
		<category><![CDATA[Monetix Ads]]></category>
		<category><![CDATA[MonetizeMore]]></category>
		<category><![CDATA[SSPs]]></category>
		<category><![CDATA[Supply chain transparency]]></category>
		<category><![CDATA[Zach Edwards]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=472274</guid>

					<description><![CDATA[<p>Ad industry insiders have consistently warned that generative AI would ignite an explosion in made-for-advertising (MFA) sites that cynically monetize via programmatic ad tech. Well, research is starting to prove the case. A study released Tuesday by advertising supply chain intelligence company DecryptAds uncovered more than 2,100 AI-generated recipe sites that take a page straight [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/programmatic/ai-slop-sites-are-on-the-rise-is-ad-tech-ready-for-its-new-mfa-challenge/" data-wpel-link="internal">AI Slop Sites Are On The Rise. Is Ad Tech Ready For Its New MFA Challenge?</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.adexchanger.com/programmatic/ai-slop-sites-are-on-the-rise-is-ad-tech-ready-for-its-new-mfa-challenge/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>What Frogs And Socks Can Teach Us About AI Implementation</title>
		<link>https://www.adexchanger.com/adexchanger-talks/what-frogs-and-socks-can-teach-us-about-ai-implementation/</link>
					<comments>https://www.adexchanger.com/adexchanger-talks/what-frogs-and-socks-can-teach-us-about-ai-implementation/#respond</comments>
		
		<dc:creator><![CDATA[<img src="https://www.adexchanger.com/wp-content/uploads/2026/07/34-120x120.png"
     alt="Photo of Allison Schiff"
     width="60"
     height="60"
     class="ai-author-image ai-author-image--circle ai-author-image--inline rounded-circle shadow-offset"
     loading="lazy">
 Allison Schiff]]></dc:creator>
		<pubDate>Tue, 20 Oct 2026 05:00:35 +0000</pubDate>
				<category><![CDATA[AdExchanger Talks]]></category>
		<category><![CDATA[Agentic Workflows]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[LLM models]]></category>
		<category><![CDATA[Rebecca Sykes]]></category>
		<category><![CDATA[The Brandtech Group]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=472243</guid>

					<description><![CDATA[<p>Conventional wisdom says that you need clean data before you can use AI. But Rebecca Sykes isn’t so sure the data needs to be pristine. Sykes, a partner at The Brandtech Group who leads its emerging technology practice, says generative AI can work with the kind of fuzzy, siloed and sometimes badly labeled data that [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/adexchanger-talks/what-frogs-and-socks-can-teach-us-about-ai-implementation/" data-wpel-link="internal">What Frogs And Socks Can Teach Us About AI Implementation</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.adexchanger.com/adexchanger-talks/what-frogs-and-socks-can-teach-us-about-ai-implementation/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Political Campaigns Are Bringing Broadcast Habits To CTV. That Could Cost Them Billions</title>
		<link>https://www.adexchanger.com/on-tv-and-video/political-campaigns-are-bringing-broadcast-habits-to-ctv-that-could-cost-them-billions/</link>
					<comments>https://www.adexchanger.com/on-tv-and-video/political-campaigns-are-bringing-broadcast-habits-to-ctv-that-could-cost-them-billions/#respond</comments>
		
		<dc:creator><![CDATA[<img src="https://www.adexchanger.com/wp-content/uploads/2026/07/2304-120x120.jpg"
     alt="Photo of Anthony Vargas"
     width="60"
     height="60"
     class="ai-author-image ai-author-image--circle ai-author-image--inline rounded-circle shadow-offset"
     loading="lazy">
 Anthony Vargas]]></dc:creator>
		<pubDate>Tue, 20 Oct 2026 04:35:32 +0000</pubDate>
				<category><![CDATA[On TV & Video]]></category>
		<category><![CDATA[CTV]]></category>
		<category><![CDATA[CTV ad targeting]]></category>
		<category><![CDATA[DSPolitical]]></category>
		<category><![CDATA[linear TV]]></category>
		<category><![CDATA[Mark Jablonowski]]></category>
		<category><![CDATA[Political Advertising]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=472257</guid>

					<description><![CDATA[<p>Political campaigns are set to spend more than $11 billion on advertising in the midterms, and a growing share will land on connected television (CTV). But shifting the budget to streaming without shifting the thinking behind it can lead to a tremendous amount of waste. For years, the industry has debated linear versus streaming and [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/on-tv-and-video/political-campaigns-are-bringing-broadcast-habits-to-ctv-that-could-cost-them-billions/" data-wpel-link="internal">Political Campaigns Are Bringing Broadcast Habits To CTV. That Could Cost Them Billions</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.adexchanger.com/on-tv-and-video/political-campaigns-are-bringing-broadcast-habits-to-ctv-that-could-cost-them-billions/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>So Begins ChatGPT’s Endless Ad Iterations; YouTube Affiliates With AliExpress</title>
		<link>https://www.adexchanger.com/daily-news-roundup/tuesday-20102026/</link>
					<comments>https://www.adexchanger.com/daily-news-roundup/tuesday-20102026/#respond</comments>
		
		<dc:creator><![CDATA[AdExchanger]]></dc:creator>
		<pubDate>Tue, 20 Oct 2026 04:03:05 +0000</pubDate>
				<category><![CDATA[Daily News Roundup]]></category>
		<category><![CDATA[ACR]]></category>
		<category><![CDATA[affiliate marketing]]></category>
		<category><![CDATA[Alibaba]]></category>
		<category><![CDATA[AliExpress]]></category>
		<category><![CDATA[ChatGPT]]></category>
		<category><![CDATA[ChatGPT ads]]></category>
		<category><![CDATA[Joe Kaziukenas]]></category>
		<category><![CDATA[OpenAI]]></category>
		<category><![CDATA[smart TV]]></category>
		<category><![CDATA[smart TVs]]></category>
		<category><![CDATA[tv advertising]]></category>
		<category><![CDATA[vibe coding]]></category>
		<category><![CDATA[youtube]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=472224</guid>

					<description><![CDATA[<p>ChatGPT launches its latest iteration of ads; retail giant AliExpress expands its partnership with YouTube; and people are making their smart TVs less smart.</p>
<p>The post <a href="https://www.adexchanger.com/daily-news-roundup/tuesday-20102026/" data-wpel-link="internal">So Begins ChatGPT’s Endless Ad Iterations; YouTube Affiliates With AliExpress</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.adexchanger.com/daily-news-roundup/tuesday-20102026/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>How Australian Home Lender Lendi Measures The Invisible Work Of AI</title>
		<link>https://www.adexchanger.com/measurement/how-australian-home-lender-lendi-measures-the-invisible-work-of-ai/</link>
					<comments>https://www.adexchanger.com/measurement/how-australian-home-lender-lendi-measures-the-invisible-work-of-ai/#respond</comments>
		
		<dc:creator><![CDATA[<img src="https://www.adexchanger.com/wp-content/uploads/2026/07/50-120x120.jpeg"
     alt="Photo of James Hercher"
     width="60"
     height="60"
     class="ai-author-image ai-author-image--circle ai-author-image--inline rounded-circle shadow-offset"
     loading="lazy">
 James Hercher]]></dc:creator>
		<pubDate>Mon, 19 Oct 2026 16:03:46 +0000</pubDate>
				<category><![CDATA[Measurement]]></category>
		<category><![CDATA[attribution]]></category>
		<category><![CDATA[featured]]></category>
		<category><![CDATA[Lendi]]></category>
		<category><![CDATA[measurement]]></category>
		<category><![CDATA[MMM]]></category>
		<category><![CDATA[Mutinex]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=472208</guid>

					<description><![CDATA[<p>Most brands and businesses are trying to figure out how to improve their metrics when it comes to AI – and also what those metrics even are. Problem is, measuring how chatbots shape brand discovery is mostly still a mystery. But “you can’t improve what you can’t measure,” said Michael McCash, GM of growth at Australian [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/measurement/how-australian-home-lender-lendi-measures-the-invisible-work-of-ai/" data-wpel-link="internal">How Australian Home Lender Lendi Measures The Invisible Work Of AI</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.adexchanger.com/measurement/how-australian-home-lender-lendi-measures-the-invisible-work-of-ai/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>How Amazon Ads Plans To Make Programmatic Simple Without Taking Control From Marketers</title>
		<link>https://www.adexchanger.com/inside-the-stack/how-amazon-ads-plans-to-make-programmatic-simple-without-taking-control-from-marketers/</link>
					<comments>https://www.adexchanger.com/inside-the-stack/how-amazon-ads-plans-to-make-programmatic-simple-without-taking-control-from-marketers/#respond</comments>
		
		<dc:creator><![CDATA[AdExchanger]]></dc:creator>
		<pubDate>Mon, 19 Oct 2026 12:05:36 +0000</pubDate>
				<category><![CDATA[Inside the Stack]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[Amazon ads]]></category>
		<category><![CDATA[Amazon DSP]]></category>
		<category><![CDATA[Amazon unBoxed]]></category>
		<category><![CDATA[Kelly MacLean]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=472097</guid>

					<description><![CDATA[<p>Amazon Ads VP Kelly MacLean on how AI helps marketers connect the dots across the customer journey, with lower costs and better delivery in early tests.</p>
<p>The post <a href="https://www.adexchanger.com/inside-the-stack/how-amazon-ads-plans-to-make-programmatic-simple-without-taking-control-from-marketers/" data-wpel-link="internal">How Amazon Ads Plans To Make Programmatic Simple Without Taking Control From Marketers</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.adexchanger.com/inside-the-stack/how-amazon-ads-plans-to-make-programmatic-simple-without-taking-control-from-marketers/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>You Know Your Ideal Customer. But Can Your Media Plan Actually Reach Them?</title>
		<link>https://www.adexchanger.com/content-studio/you-know-your-ideal-customer-but-can-your-media-plan-actually-reach-them/</link>
					<comments>https://www.adexchanger.com/content-studio/you-know-your-ideal-customer-but-can-your-media-plan-actually-reach-them/#respond</comments>
		
		<dc:creator><![CDATA[AdExchanger Content Studio]]></dc:creator>
		<pubDate>Mon, 19 Oct 2026 12:00:23 +0000</pubDate>
				<category><![CDATA[Content Studio]]></category>
		<category><![CDATA[Dynata]]></category>
		<category><![CDATA[Steve Williamson]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=471908</guid>

					<description><![CDATA[<p>Marketers today describe their ideal customers in extraordinary detail, with rich personas that go beyond basic demographics to include attitudes, motivations, values, preferences and even future intentions. But a media buyer still has to turn that persona into a handful of targetable attributes. And, ironically, the more specific the picture of an ideal customer becomes, [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/content-studio/you-know-your-ideal-customer-but-can-your-media-plan-actually-reach-them/" data-wpel-link="internal">You Know Your Ideal Customer. But Can Your Media Plan Actually Reach Them?</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.adexchanger.com/content-studio/you-know-your-ideal-customer-but-can-your-media-plan-actually-reach-them/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>AI Startup Minerva Built An Agentic CDP, But Don’t Call It That</title>
		<link>https://www.adexchanger.com/ai/ai-startup-minerva-built-an-agentic-cdp-but-dont-call-it-that/</link>
					<comments>https://www.adexchanger.com/ai/ai-startup-minerva-built-an-agentic-cdp-but-dont-call-it-that/#respond</comments>
		
		<dc:creator><![CDATA[<img src="https://www.adexchanger.com/wp-content/uploads/2026/07/34-120x120.png"
     alt="Photo of Allison Schiff"
     width="60"
     height="60"
     class="ai-author-image ai-author-image--circle ai-author-image--inline rounded-circle shadow-offset"
     loading="lazy">
 Allison Schiff]]></dc:creator>
		<pubDate>Mon, 19 Oct 2026 05:00:38 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[agentic AI]]></category>
		<category><![CDATA[ai startups]]></category>
		<category><![CDATA[CDP]]></category>
		<category><![CDATA[featured]]></category>
		<category><![CDATA[Identity graph]]></category>
		<category><![CDATA[Jackson Engles]]></category>
		<category><![CDATA[Minerva]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=472129</guid>

					<description><![CDATA[<p>Jackson Engles, CEO of Minerva, is a realist. He knows that the data his AI startup is built on probably won’t be a competitive edge for more than a couple of years. “Yes, sure, we have data that can help create better outcomes,” Engles told AdExchanger. “But is it a long-term, durable moat? Probably not.” [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/ai/ai-startup-minerva-built-an-agentic-cdp-but-dont-call-it-that/" data-wpel-link="internal">AI Startup Minerva Built An Agentic CDP, But Don’t Call It That</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.adexchanger.com/ai/ai-startup-minerva-built-an-agentic-cdp-but-dont-call-it-that/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>MMM Is Getting Smarter. It Still Can’t Do The Whole Job Alone</title>
		<link>https://www.adexchanger.com/data-driven-thinking/mmm-is-getting-smarter-it-still-cant-do-the-whole-job-alone/</link>
					<comments>https://www.adexchanger.com/data-driven-thinking/mmm-is-getting-smarter-it-still-cant-do-the-whole-job-alone/#respond</comments>
		
		<dc:creator><![CDATA[AdExchanger Guest Columnist]]></dc:creator>
		<pubDate>Mon, 19 Oct 2026 04:35:00 +0000</pubDate>
				<category><![CDATA[Data-Driven Thinking]]></category>
		<category><![CDATA[benchmarking]]></category>
		<category><![CDATA[Boathouse]]></category>
		<category><![CDATA[CMOs]]></category>
		<category><![CDATA[conversion lift study]]></category>
		<category><![CDATA[holdout studies]]></category>
		<category><![CDATA[incrementality testing]]></category>
		<category><![CDATA[measurement and attribution]]></category>
		<category><![CDATA[MMM]]></category>
		<category><![CDATA[omnichannel]]></category>
		<category><![CDATA[Sonia Chung]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=472139</guid>

					<description><![CDATA[<p>Every media dollar eventually has to answer the same uncomfortable question: Did it create new revenue or simply take credit for revenue that was coming anyway? A channel with exceptional reported ROI may simply be capturing existing demand. Another may appear less efficient while creating customers who otherwise would never have entered the market. That [&#8230;]</p>
<p>The post <a href="https://www.adexchanger.com/data-driven-thinking/mmm-is-getting-smarter-it-still-cant-do-the-whole-job-alone/" data-wpel-link="internal">MMM Is Getting Smarter. It Still Can’t Do The Whole Job Alone</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.adexchanger.com/data-driven-thinking/mmm-is-getting-smarter-it-still-cant-do-the-whole-job-alone/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Meta’s New TOS Dubbed A Total POS; Another Nail In Search Traffic’s Coffin</title>
		<link>https://www.adexchanger.com/daily-news-roundup/monday-19102026/</link>
					<comments>https://www.adexchanger.com/daily-news-roundup/monday-19102026/#respond</comments>
		
		<dc:creator><![CDATA[AdExchanger]]></dc:creator>
		<pubDate>Mon, 19 Oct 2026 04:03:18 +0000</pubDate>
				<category><![CDATA[Daily News Roundup]]></category>
		<category><![CDATA[Danielle Coffey]]></category>
		<category><![CDATA[ecommerce]]></category>
		<category><![CDATA[Meta]]></category>
		<category><![CDATA[The Independent]]></category>
		<guid isPermaLink="false">https://www.adexchanger.com/?p=472163</guid>

					<description><![CDATA[<p>Meta updates its AI and advertising policies; Is social commerce replacing SEO?; and online listings are a lot less transparent these days. </p>
<p>The post <a href="https://www.adexchanger.com/daily-news-roundup/monday-19102026/" data-wpel-link="internal">Meta’s New TOS Dubbed A Total POS; Another Nail In Search Traffic’s Coffin</a> appeared first on <a href="https://www.adexchanger.com" data-wpel-link="internal">AdExchanger</a>.</p>
]]></description>
		
					<wfw:commentRss>https://www.adexchanger.com/daily-news-roundup/monday-19102026/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>

<!-- plugin=object-cache-pro client=phpredis metric#hits=3798 metric#misses=20 metric#hit-ratio=99.5 metric#bytes=1930604 metric#prefetches=197 metric#store-reads=35 metric#store-writes=5 metric#store-hits=230 metric#store-misses=6 metric#sql-queries=5 metric#ms-total=382.92 metric#ms-cache=41.09 metric#ms-cache-avg=1.0537 metric#ms-cache-ratio=10.7 sample#redis-hits=191576675 sample#redis-misses=4137856 sample#redis-hit-ratio=97.9 sample#redis-ops-per-sec=390 sample#redis-evicted-keys=733319 sample#redis-used-memory=481749352 sample#redis-used-memory-rss=508264448 sample#redis-memory-fragmentation-ratio=1.1 sample#redis-connected-clients=1 sample#redis-tracking-clients=0 sample#redis-rejected-connections=0 sample#redis-keys=471009 -->
