<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Marketing on Thiago Avelino</title><link>https://avelino.run/tags/marketing/</link><description>Recent content in Marketing on Thiago Avelino</description><generator>Hugo</generator><language>en-us</language><copyright>© Avelino</copyright><lastBuildDate>Sat, 10 Oct 2026 08:40:57 -0300</lastBuildDate><atom:link href="https://avelino.run/tags/marketing/index.xml" rel="self" type="application/rss+xml"/><item><title>Where Data Stops in Marketing: A CTO's Notes on Data-Driven Marketing</title><link>https://avelino.run/where-data-stops-in-marketing/</link><pubDate>Sat, 10 Oct 2026 00:00:00 +0000</pubDate><guid>https://avelino.run/where-data-stops-in-marketing/</guid><description>&lt;p&gt;In June 2026 I wrote an internal post at Buser with a title I liked more than I should have: &lt;strong&gt;&amp;quot;Marketing is now MarTech&amp;quot;&lt;/strong&gt;. Marketing moved under Technology, and I, the CTO, became accountable for it. The reason was practical. A good marketing idea lost speed waiting in the tech and data queue, and putting engineering and data science next to marketing closes the loop between a decision and its measurement. But the sentence I cared about most in that post was another one: marketing strategy decides what the data should chase. Four months in, I still think that sentence is right, and I now think it is the hardest part of data-driven marketing, because data will chase anything you point it at, with total confidence, and report success the whole way. This post is my attempt to organize what I have been reading and living since then, written by someone whose instinct is to trust the funnel and who is learning, slowly, where that instinct breaks.&lt;/p&gt;</description></item></channel></rss>