10×.
One product.
One channel switch.

Situation

VPC Vacuum's hero SKU was performing fine on Amazon FBA in absolute terms. Steady reorder cycles. Decent reviews. Established listing with years of organic ranking signal. The SKU wasn't broken; it just wasn't growing the way the brand's market position suggested it should.

The diagnostic, when looked at by channel architecture rather than by tactical optimization: the SKU had specific characteristics that 1P would handle structurally better than FBA. It was a hero product in a category where Buy Box stability mattered — customers searching for the SKU type were comparison-shopping across multiple sellers, and the Buy Box rotation cycle was costing impressions in that comparison flow. The product was also B2B-relevant — commercial cleaning operators bought it in case packs, but FBA wasn't surfacing it well to Amazon Business buyers. And the underlying margins, while workable on FBA, had room to improve under the wholesale-to-1P model.

The brand's other catalog SKUs were working fine on FBA. The question was scope: could the brand test 1P on just the hero SKU without changing anything else?

Decision

The brand picked Selective. One SKU into 1P. Everything else stays on FBA, unchanged.

The configuration: the hero SKU's ASIN moved from the brand's Seller Central operation to the vendor's 1P catalog. The same ASIN — rankings, reviews, A+ Content all preserved. Seller-of-record on the listing changed from the brand's storefront to Amazon.ca. The brand continued to manage everything else in the catalog through Seller Central exactly as it had.

This is the cleanest version of a 1P test. One variable changes (the channel for one SKU). Everything else stays constant. Whatever happens to the SKU's volume and rank is attributable to the architectural change.

The setup took about 30 days from discovery call to first PO.

Results

Within the first full quarter: monthly unit volume on the SKU moved from 30–45 to 400+. Roughly 10× growth on the same product, in the same category, at roughly similar customer-facing price points. The growth wasn't from new demand — it was from capturing demand that had been there but losing to other listings.

Category rank on the SKU moved from below #40 to #7. Position-of-discovery changed materially. Customers searching the category were now seeing the SKU near the top of the result page rather than buried.

Both effects compounded each other. Higher rank surfaced the SKU to more searches. Higher volume reinforced the rank algorithm's signal. The Buy Box stability of the 1P listing kept the impressions converting at a higher rate than the rotating FBA Buy Box had.

What this means for similar brands

VPC Vacuum's case is the cleanest demonstration of the Selective engagement model's value. The pattern transfers to any brand with the following profile: one or two clear hero SKUs whose unit volume drives a disproportionate share of the catalog's economics; the hero SKU is in a category where Buy Box stability matters (customers comparison-shop within the category); the brand wants to test 1P without disrupting the rest of the catalog; the unit economics on the hero SKU show room to improve under 1P's wholesale model.

For brands with a working FBA operation that doesn't need wholesale-level disruption, Selective is the entry point. Pick one SKU. Run the test. Decide based on data, not theory.

The next-step decision for a brand that runs a Selective test: expand to Hybrid (add more SKUs to 1P based on the per-SKU framework), stay Selective (one SKU on 1P is sufficient), or fold back (unlikely if the test produces VPC-like results).