How MuzeMerch Broke Past a 3x ROAS Ceiling and Scaled to 5.7x with Smarter Paid Media

When [MuzeMerch](https://www.muzemerch.com/) set out to push beyond a consistent 3x ROAS, they knew incremental media tweaks wouldn’t be enough.

As a cultural eCommerce platform serving museums, aquariums, and attractions, MuzeMerch had already built strong, culturally relevant ad creative and a restructured paid foundation. Despite steady spend across Meta and Google, performance was capped, and growth had plateaued.

The issue wasn’t effort. It was structure.

They didn’t just need better ads. They needed a smarter paid experience from creative to conversion.

#### The Challenge: Stuck at 3x ROAS

Under prior agency management, MuzeMerch consistently hovered around a 3x ROAS ceiling. Product-feed ads lacked strategic organization, landing pages weren’t optimized for value sequencing, and traffic was scattered.

The brand had strong cultural products, but the buying journey wasn’t engineered to maximize revenue.

They needed a way to: - -Increase profitability without increasing operational complexity - -Lift Average Order Value (AOV) - -Scale efficiently across Meta and Google - -Preserve the strong, creative foundation already in place

That’s where [Otis AI](www.meetotis.com) came in.

#### The Strategy: Restructuring the Entire Paid Experience

Rather than simply adjusting bids or refreshing creatives, Otis rebuilt their paid media structure around AI-driven optimization and intentional product discovery.

1. Machine-Learning-Led Optimization We shifted from rigid product-to-geo targeting to broader campaign structures that allowed machine learning to identify performance patterns more effectively.

2. From Single Products to Curated Collections Instead of pushing isolated SKUs, we built culturally themed collections that reframed products as part of a narrative, increasing perceived value and encouraging multi-item purchases.

3. Conversion-Focused Landing Pages Traffic was directed to structured landing pages instead of scattered product feeds. Product order, hierarchy, and presentation were intentionally designed to guide higher-value purchase behavior.

4. Intent-Based Product Sequencing Higher-intent, higher-margin products were prioritized within both ads and landing experiences. Exposure wasn’t random; it was strategic.

5. Revenue-Focused Exposure Strategy Campaign structure and budget allocation were optimized to lift AOV and total revenue, not just clicks or surface-level efficiency metrics.

#### The Results: Performance That Compounds


Within 2–3 months, performance accelerated.

- -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

Revenue growth wasn’t driven by more traffic; it was driven by smarter structure and better buying behavior.

By aligning strong creative with intelligent automation, MuzeMerch transformed their paid media from a cost center into a scalable growth engine.

#### When Creative Meets Intelligent Media Buying

MuzeMerch’s success wasn’t about one channel or one tactic. It was about: - -Strong, culturally relevant content - -Structured product discovery - -AI-powered budget allocation - -A seamless path from ad to conversion

This is what happens when great ad creative meets intelligent automation.

If you’re an eCommerce brand looking to increase ROAS, lift AOV, and scale revenue without adding operational overhead, we’d love to talk.

👉 Book a strategy call: [meetotis.com](www.meetotis.com) 👉 For content creation: [brettsirianni.com](www.brettsirianni.com)