Everything you'd want to know about me, LuisScales, and how we work — in one place.

Read this before our call. The more you go through here, the less time we spend on background and the more we spend on your actual account.


Who I am

I'm Luis. I run LuisScales, a paid ads agency focused on Shopify streetwear and apparel brands.

I don't run ads for dentists, SaaS, or coaches. Apparel only. That's deliberate — the creative angles, the audience behavior, the seasonality, the return rates, and the AOV math all work differently in apparel than anywhere else. Specializing means I've seen your specific problem before.

I started on the other side of this. I ran my own e-commerce brand, making videos and posting them and hoping something worked. I didn't understand marketing. I wasn't even running ads, because I didn't really understand what ads were.

Then I learned. I started running paid properly, and the brand scaled — not because the product changed, but because I finally understood the mechanics behind getting it in front of people.

That's when it clicked that ads were the part I was actually good at, and the part I actually wanted to do. So I shut the store down and went all in on this.

I work with apparel specifically because I'm a creative person, and clothing is a creative niche. Hooks, angles, what makes someone stop scrolling on a fit pic — that comes naturally to me in a way it wouldn't for SaaS or dentists.

I've been the client. I know what it feels like to put money into ads and have no idea whether it's working. That's the part I'm trying to fix for the brands I work with.

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The problem I usually find

Most apparel brands doing $10k–$50k/mo have the same three issues. It's rarely what they think it is.

1. Fragmented campaign structure

Six campaigns, twenty ad sets, a $3k monthly budget spread thin. Every ad set is starved of conversion data. Meta never exits the learning phase, so the algorithm never optimizes. The brand blames creative and shoots twenty new videos.

2. Broken or duplicate tracking

Pixel fires alongside Conversions API with no deduplication, so purchases get counted twice. Or the event isn't firing at all on the thank-you page. Either way Meta is optimizing on bad data, and your reported ROAS is fiction.

3. One angle, many edits