<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Divisio Blog</title><description>Real-world stories of marketers using Divisio to turn a raw CSV into named customer segments, personas, and campaigns, with no code and no data team.</description><link>https://divisio.co/</link><item><title>Marketing said one thing, sales said another. The personas got everyone speaking the same language.</title><link>https://divisio.co/blog/ai-personas-beacon-b2b/</link><guid isPermaLink="true">https://divisio.co/blog/ai-personas-beacon-b2b/</guid><description>A B2B demand-gen marketer used Divisio&apos;s AI persona cards to give marketing and sales one shared, data-grounded vocabulary for accounts, and aligned the ABM motion.</description><pubDate>Thu, 25 Jun 2026 00:00:00 GMT</pubDate><category>ai</category><category>ai-persona-cards</category><category>pattern-detection</category><category>business-rules-export</category><category>abm</category><category>b2b-saas</category><category>sales-alignment</category><category>pro</category><author>Nikita</author></item><item><title>An agency that turns a client&apos;s segments into five creative briefs before the kickoff call</title><link>https://divisio.co/blog/ai-personas-hatch-agency/</link><guid isPermaLink="true">https://divisio.co/blog/ai-personas-hatch-agency/</guid><description>A growth agency runs each new client&apos;s export through Divisio&apos;s AI persona cards, each with a ready-to-brief campaign, so its creatives start writing on day one.</description><pubDate>Mon, 22 Jun 2026 00:00:00 GMT</pubDate><category>ai</category><category>ai-persona-cards</category><category>pattern-detection</category><category>computed-variables</category><category>agency</category><category>creative-brief</category><category>pro</category><author>Nikita</author></item><item><title>Six clusters nobody understood became six personas the board approved</title><link>https://divisio.co/blog/ai-personas-pinnacle-fitness/</link><guid isPermaLink="true">https://divisio.co/blog/ai-personas-pinnacle-fitness/</guid><description>A gym chain&apos;s brand marketer turned six statistical clusters into six named, data-grounded personas with Divisio&apos;s AI persona cards, and got the board&apos;s plan approved.</description><pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate><category>ai</category><category>ai-persona-cards</category><category>pattern-detection</category><category>heatmap</category><category>board-buy-in</category><category>fitness</category><category>pro</category><author>Nikita</author></item><item><title>The segments lived in one tool. The campaigns lived in another. Rules export bridged them.</title><link>https://divisio.co/blog/business-rules-export-northwind/</link><guid isPermaLink="true">https://divisio.co/blog/business-rules-export-northwind/</guid><description>A B2B lifecycle marketer exported Divisio segments as plain IF/THEN business rules and pasted them straight into HubSpot and Braze, with no SQL and no engineering ticket.</description><pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate><category>workflow</category><category>business-rules-export</category><category>pattern-detection</category><category>hubspot</category><category>braze</category><category>lifecycle</category><category>b2b-saas</category><category>pro</category><author>Nikita</author></item><item><title>K-Means forced everyone into a box. DBSCAN found the whales hiding in the corner.</title><link>https://divisio.co/blog/dbscan-tindo-marketplace/</link><guid isPermaLink="true">https://divisio.co/blog/dbscan-tindo-marketplace/</guid><description>A marketplace growth lead switched from K-Means to DBSCAN in Divisio, surfacing odd-shaped clusters and a tiny outlier group of whales worth their own VIP program.</description><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate><category>clustering</category><category>dbscan</category><category>advanced-clustering</category><category>k-means</category><category>deep-dive-charts</category><category>outliers</category><category>marketplace</category><category>pro</category><author>Nikita</author></item><item><title>&quot;How do I know these segments are real?&quot; Deep-dive charts answered the skeptics.</title><link>https://divisio.co/blog/deep-dive-charts-bloomwell/</link><guid isPermaLink="true">https://divisio.co/blog/deep-dive-charts-bloomwell/</guid><description>A marketing analyst used Divisio&apos;s scatter, box, and histogram deep-dive charts to prove her segments were genuinely distinct, and caught a data bug before launch.</description><pubDate>Wed, 27 May 2026 00:00:00 GMT</pubDate><category>workflow</category><category>deep-dive-charts</category><category>pattern-detection</category><category>computed-variables</category><category>scatter-plot</category><category>stakeholder-buy-in</category><category>pro</category><author>Nikita</author></item><item><title>Churn was creeping up. The RFM Wizard found the customers worth saving.</title><link>https://divisio.co/blog/rfm-wizard-thread-and-loom/</link><guid isPermaLink="true">https://divisio.co/blog/rfm-wizard-thread-and-loom/</guid><description>A retention manager turned a raw orders export into Recency/Frequency/Monetary segments with Divisio&apos;s RFM Wizard, and found the lapsing loyalists worth a win-back.</description><pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate><category>clustering</category><category>rfm</category><category>rfm-wizard</category><category>klaviyo</category><category>computed-variables</category><category>business-rules</category><category>retention</category><category>pro</category><author>Nikita</author></item><item><title>A 38-column Shopify export and no idea where to start</title><link>https://divisio.co/blog/ai-variable-suggestions-lumen-oak/</link><guid isPermaLink="true">https://divisio.co/blog/ai-variable-suggestions-lumen-oak/</guid><description>A DTC growth marketer had 38 Shopify columns and no data team. Divisio&apos;s AI variable suggestions told her which columns to segment on, and why.</description><pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate><category>ai</category><category>ai-variable-suggestions</category><category>pattern-detection</category><category>heatmap</category><category>shopify</category><category>dtc</category><category>pro</category><author>Nikita</author></item><item><title>His raw columns measured the wrong things. Computed variables fixed it without touching the data.</title><link>https://divisio.co/blog/computed-variables-saddleback/</link><guid isPermaLink="true">https://divisio.co/blog/computed-variables-saddleback/</guid><description>An outdoor-gear marketer derived AOV, margin %, and tenure with Divisio&apos;s computed variables, then clustered on behavior instead of raw spend, and cut wasted ad budget.</description><pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate><category>workflow</category><category>computed-variables</category><category>pattern-detection</category><category>heatmap</category><category>aov</category><category>roas</category><category>free</category><category>dtc</category><author>Nikita</author></item><item><title>One founder, one CSV, and the first real segments Carriage Coffee ever had</title><link>https://divisio.co/blog/pattern-detection-carriage-coffee/</link><guid isPermaLink="true">https://divisio.co/blog/pattern-detection-carriage-coffee/</guid><description>A four-person coffee roaster ran Divisio&apos;s pattern detection on the free tier, used the elbow chart to find five customer segments, and turned them into three campaigns that fit.</description><pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate><category>clustering</category><category>pattern-detection</category><category>elbow-chart</category><category>heatmap</category><category>free</category><category>dtc</category><category>segmentation</category><author>Nikita</author></item></channel></rss>