The Mavrtr Blog
Notes from the engine room of AI ad research.
What we're learning while running thousands of research reports across Shopify stores — customer patterns, ad strategy, and what actually moves the needle on paid social.
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What Reddit Tells You That Reviews Won't — and Where Reddit Lies
Reddit is the single most useful source of unprompted customer language for ecommerce — and the easiest source to misread. Here's how we weight it inside Mavrtr.
The 4 CBO Structure Mistakes We See Most Often (and the Fix for Each)
CBO is Meta's default, but the structure most stores use isn't the structure Meta is optimizing for. Here are the four mistakes we keep seeing inside the campaign structures stores apply from Mavrtr reports.
Persona, Avatar, Segment — and Why the Last One Is What Ads Actually Get Written From
Personas align stakeholders. Avatars were the first improvement. Segments are what your media buyer actually needs to write the ad. Here's why Mavrtr settled on the third — and what's different in the spec.
5 Layers of Shopify Audience Research, Ranked by What Actually Moves Performance
After running thousands of briefs across Shopify categories, we've learned which layers of audience research actually move paid-ad performance — and which ones look productive but barely move the needle.
Why Most Generated Ad Copy Reads Generic — and What Changes When You Ground It in Real Reviews
After building Mavrtr's creative intelligence pipeline and shipping copy across hundreds of Shopify categories, one pattern keeps showing up: the difference between copy that converts and copy that doesn't isn't the model — it's what you feed it.