Transforming Google into a primary engine for profitable scale

Mindbodygreen uses Last Click Attributed results captured via Segment and Shopify. All figures below are tied to the Business Source of Truth, not reliant on platform attributed results or incremental measures.

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First 14 Months

+75% in AOV

Improvements in product strategy and prioritization shifted demand toward higher value purchases, increasing average order value while preserving margin.

+699% in Revenue

Google evolved into a major growth driver, delivering meaningful revenue expansion through improved feed quality, smarter capital allocation, and disciplined testing across products.

+64% in ROAS

Structural improvements across Shopping and Search enabled higher efficiency even as spend scaled, reinforcing Google’s role as a profitable growth channel.

+381% New Customer Orders

Refined Nonbrand strategy and improved Shopping coverage drove a significant increase in new customer orders, expanding Mindbodygreen’s customer base in a highly competitive category.

The problem

Mindbodygreen needed to unlock scalable growth in Google Ads for its premium supplements portfolio while maintaining profitability. Prior to Nodus, the channel struggled to scale efficiently, limiting its ability to contribute meaningfully to overall revenue growth.

As Mindbodygreen increased investment across other channels, particularly Social, Google needed to deliver a more diversified and incremental mix of volume. This required a disciplined approach that could expand scale without compromising margins in a highly competitive supplements landscape.

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How We Did It

Growth in Google was driven through a disciplined focus on capital allocation and structural efficiency, with Shopping identified as the primary lever for scalable impact.

The product feed was rebuilt to address foundational issues across titles, descriptions, missing attributes, and policy flags. With a clean feed in place, a new Shopping structure concentrated investment behind products delivering the strongest combination of efficiency and margin, while secondary products were segmented to create room for controlled testing and incremental growth.

This structure allowed priority products to scale more efficiently while providing clearer signals to Google’s automated bidding systems. Over time, products that had historically underperformed began contributing incremental volume as feed quality and structural discipline improved.

Across Search, similar principles were applied. Keyword structure and ad copy were refined to improve relevance and Quality Scores, with a focus on high intent Nonbrand queries. Tighter alignment between keywords, ads, and landing pages, paired with stronger new customer signals, enabled meaningful scale in competitive Nonbrand environments while preserving profitability.