Scale your legacy brand profitably across Amazon, Walmart, and Shopify - with full control
You built something worth preserving. We help you grow it across marketplaces and digital channels — with structure, clarity, and long-term performance.
Proven Results Across Brands
+100%
monthly growth
Scaling established product brands on Amazon
$1M+
annual revenue
Driven through catalog and channel restructuring
18.6x
ROAS
From optimized full-funnel advertising strategy
Not every brand gets in.
And that's the point.
We work with established product brands ($2–$50M), led by teams that care deeply about their product, their people, and their customers.
How We Scale Brands Across Marketplaces
Launch. Grow. Protect.
We specialize in building and managing high-performance online storefronts.
- Storefront Setup (Amazon, Walmart)
- Catalog Architecture & Listings
- A+ Content & Brand Presentation
- Operational Setup
- FBA Fulfillment Setup & Guidance
- Amazon advertising & paid media
- Pricing & promotion strategy
- Inventory & demand planning
- SEO & AI Discovery Optimization
Why Us
We’re Not for Everyone. We’re for the Legacy Builders. Most agencies just chase clicks. We chase longevity.
We know how to scale revenue through eCommerce because we’ve done it — taking brands from $500K to $5M+ and helping American companies reclaim market share.
We do it with excellence, speed, and uncommon care.
Our standards are high. Our results are higher.
— Rick Hemmerling, Insect Shield
FLS came in and helped us understand and make sense of the chargebacks we unknowingly accrued for the past 3 years.
With FLS’s help, Amazon ultimately paid us back on those costly chargebacks.
— Jason Rafeld, Rhino Rack
I brought on FLS as our Amazon partner to guide us through new product launches and manage our AMS campaigns.
They carefully researched the product portfolio, planned the campaigns and the results spoke for themselves.
Within a short timeframe, they achieved our initial objectives. FLS at the business holistically not just ROA and other metrics, which was exactly what we were looking.
— Alex Lebedev, ReelSonar