+263% Revenue in 4 Months: How Adverio Revived Custom Outpost's 3,000-SKU Amazon Catalog

Challenge

The revenue decline was steep: nearly half of YoY sales gone heading into the year's most important quarter. The root cause wasn't the products. It was the strategy. The previous agency had been running the same narrow playbook, cycling spend through a few known winners while 95% of the catalog went untouched. New customer trends, seasonal demand, and tentpole events were all being ignored. The brand needed a complete reset before Q4 arrived.

Solution

Adverio deployed what we call the Cohort Commerce Engine. Rather than treating 3,000+ SKUs as one undifferentiated catalog, products were grouped into targeted cohorts by gender, season, and purchase occasion. Each cohort got its own campaigns aligned to real buyer intent, with separate strategies built around tentpole events like Mother's Day, graduation, and Black Friday. In parallel, Adverio deep-mined Amazon search data to surface hundreds of low-competition queries competitors weren't targeting. New product designs were fast-tracked to match emerging demand before anyone else spotted the opportunity.

Results

Daily revenue jumped 263% in four months. All 3,043 SKUs were activated and contributing to topline, not just the handful of prior favorites. Q4 peaks hit record levels, reversing YoY declines and outpacing even the most optimistic internal forecasts. New products and low-competition search terms created ongoing growth tailwinds well beyond the initial campaign window.

The Cohort Commerce Engine

Most agencies pick winners and ignore the rest. That works until it doesn't. Custom Outpost had 3,000+ products and was only running ads on a fraction of them. Adverio segmented the full catalog by buyer intent, grouping SKUs by gender, season, and occasion rather than just revenue rank. Each cohort got dedicated campaigns timed to relevant tentpole events. The result was a catalog that worked as a system rather than a collection of disconnected products, and every major shopping moment became an activation point instead of a missed opportunity.

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