---
title: "MuzeMerch Boosts ROAS 5.7x with Otis AI"
url: https://stacklist.com/card/b0cb1fe2-a83c-447a-92ea-44c1bef332ed
source_url: "https://www.linkedin.com/posts/miguelmeep_muzemerch-plateaued-at-3x-roas-for-3-years-activity-7427361889405423616-iias?utm_source=share&utm_medium=member_desktop&rcm=ACoAACGCpfwBeS4Pe7lemu-K0NRYYQylRfIUvI0"
stack: https://stacklist.com/c/business/stack/3c7b415a-f288-4766-bab4-d208c71d8710
summary: "MuzeMerch broke through a 3-year ROAS plateau by rebuilding its paid media strategy from creative to conversion, then scaling with Otis AI to achieve 5.7x ROAS on Google and 39% year-over-year revenue growth. The case study highlights how combining culturally driven content, structured landing pages, and machine-learning optimization drove a 20% increase in average order value alongside scalable, profitable growth."
tags: "roas, ecommerce, paid-media, ai-optimization, aov, creative-strategy, digital-marketing"
key_entities: "MuzeMerch (organization), Otis AI (technology), Miguel Guerrero (person), Google (organization), Meta (organization), ROAS (concept), Average Order Value (concept), Morgan Shears (person), Nicolas Terzian (person), Constance Rhodes (person), Brett Sirianni (person)"
classification: "analysis"
content_hash: "sha256:196e467fac1e2ee2073ac135ab63b8d4013289996db2704b71c28c783a35770f"
acp_version: "0.2"
token_counts_approximate: 724
visibility: public
agent_accessible: true
status: "final"
---

# MuzeMerch Boosts ROAS 5.7x with Otis AI

Miguel Guerrero 6mo Edited Report this post MuzeMerch plateaued at 3x ROAS for 3 years. In 3 months, they hit 5.7x ROAS and grew revenue +39% YoY. The unlock wasn’t just smarter media buying, it was rebuilding the entire paid experience from creative to conversion, then scaling it with Otis AI. Ahead of working with Otis AI , they had already laid the foundation through a restructured paid media strategy and a full suite of high-performing, culturally relevant content built specifically to support scalable growth. That content became the backbone for what came next. Using Otis’ AI-powered platform, the paid media approach was then refined and scaled: - Shifted from rigid product-to-geo targeting to broader machine-learning optimization - Moved from single-product ads to curated, culturally driven collections - Directed traffic to structured, conversion-focused landing pages instead of scattered product feeds - Prioritized higher-intent, higher-value product sequencing - Optimized exposure to intentionally lift AOV and total revenue In just 3 months, the results spoke for themselves: ✅ 5.7x ROAS on Google (nearly double the original 3x goal) ✅ 3x ROAS on Meta ✅ 39% increase in total revenue in 2025 vs. 2024 ✅ 20% increase in Average Order Value (AOV) By combining strong creative, intentional content strategy, and smarter automation, MuzeMerch unlocked scalable, profitable growth — not just better ads. This is exactly what happens when great content meets intelligent media buying. If you’re an eCommerce brand looking to increase ROAS, AOV, and total revenue without adding complexity, let’s talk. 👉 Book a call at meetotis.com 👉 For content creation, visit our trusted partner brettsirianni.com 54 3 Comments Like Comment Share Copy LinkedIn Facebook X Morgan Shears 4mo Report this comment The MuzeMerch results prove that Otis AI performs best when it has high-authority creative to scale. Shifting from 'scattered feeds' to 'curated collections' is essentially building Digital Infrastructure for the algorithm to follow. When the creative and the automation are this aligned, the trust-gap vanishes instantly. Like Reply 1 Reaction Nicolas Terzian 3mo Report this comment The sequence here — fix the foundation, then automate — is the same pattern we see on the product/engineering side. Teams that try to scale before the core is working just ship faster toward the wrong outcome. MuzeMerch getting that right before bringing in AI is what made the 39% revenue lift possible, not just the tool. What does your intake process look like to make sure clients are ready to scale before you turn on the optimization layer? Like Reply 1 Reaction Constance Rhodes 1mo Report this comment Nice to see content as the backbone. Just sent you a connection request. Would love to connect. Like Reply 1 Reaction See more comments To view or add a comment, sign in