<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Marketing Intelligence</title><description>A boutique marketing-measurement consultancy. We build rigorous, transparent measurement programs — open-source Marketing Mix Modelling, incrementality testing and marketing AI — so your budget decisions stop running on vibes.</description><link>https://www.marketingintelligence.io/</link><item><title>Geo-experimentation in smaller markets: why the US playbook fails (and how to fix it)</title><link>https://www.marketingintelligence.io/blog/geo-experiments-in-smaller-markets/</link><guid isPermaLink="true">https://www.marketingintelligence.io/blog/geo-experiments-in-smaller-markets/</guid><description>Geo-lift playbooks quietly assume you&apos;re testing in the US. Here&apos;s why they break in smaller European markets — and how to design experiments that hold up.</description><pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate><category>Incrementality</category><category>Geo-experiments</category><author>Marketing Intelligence</author></item><item><title>The Granularity Trap: why slicing your MMM data deeper doesn&apos;t bring you closer to the truth</title><link>https://www.marketingintelligence.io/blog/granularity-in-mmm/</link><guid isPermaLink="true">https://www.marketingintelligence.io/blog/granularity-in-mmm/</guid><description>More detail isn&apos;t more truth. Why slicing MMM data too finely destroys the signal — and how to find the &quot;Goldilocks&quot; granularity that actually drives decisions.</description><pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate><category>MMM</category><author>Marketing Intelligence</author></item><item><title>Bayesian Priors in MMM: The Good, The Bad, and The Ugly</title><link>https://www.marketingintelligence.io/blog/bayesian-priors-in-mmm/</link><guid isPermaLink="true">https://www.marketingintelligence.io/blog/bayesian-priors-in-mmm/</guid><description>The &quot;B-word&quot; in marketing measurement, demystified: how Bayesian priors make MMMs actually work — and how they get abused to launder opinions as science.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>MMM</category><category>Bayesian</category><author>Marketing Intelligence</author></item></channel></rss>