Back to Proof

Rewet Benchmark Delta

After the 3rd liquid dose, the rewet gap is not a percentage problem — it is a greater-than-20× magnitude gap. And batch-to-batch variability is a separate hidden risk.

Growth-Stage Brand
Mar 26, 2026
>20×

After the 3rd liquid dose, the rewet gap between the client’s product and the category benchmark exceeded 20×

Engineering Story

Standard testing typically uses one or two liquid additions. We ran three sequential doses to simulate real overnight use. The gap fully revealed itself at the 3rd dose: the client's product returned approximately 12g of liquid, while the category benchmark returned under 1g — a gap exceeding 20×. This is not "room for improvement." This is structural failure.


Three-Insult Rewet Comparison: client product returns approximately 12g vs benchmark under 1g at 3rd dose — gap exceeds 20×


But the data revealed a more hidden problem: batch consistency. The client product's 12-hour overnight rewet coefficient of variation (CV) reached 38.5%, versus 22.4% for the competitive benchmark. For a DTC brand, consistency is brand equity — consumers will not accept "this one works, the next one doesn't." Importantly, a high CV does not necessarily indicate poor manufacturing control — it can reflect the core architecture's inherent sensitivity to batch-to-batch material variation. Fluff-pulp cores, which depend on physical blending of fibers and SAP, are structurally more sensitive to mixing uniformity than composite cores, where a carrier layer locks SAP positioning in place.


Further analysis traced the rewet collapse to three compounding root causes (validated through our multi-method verification protocol): macro-level core clumping, micro-level fiber wet-collapse, and SAP gel degradation reducing lock-up capacity. Fixing any single layer is insufficient — all three must be addressed simultaneously.


This data directly restructured the client's development priority ranking: core architecture upgrade moved from "worth doing" to "must do."


Why Only CORIO

Most competitive analyses look only at single-test absolute values. We simultaneously track cumulative degradation trends across multiple doses and batch-to-batch coefficient of variation — exposing not just the current performance gap, but the quality consistency risk that is a DTC brand’s core asset.

Client Voice
“After reviewing the complete multi-dose comparison data, the client team elevated core upgrade from “consider next phase” to “top priority” — a decision shift that occurred within a single working session.”
Ready to engineer your result?

Send us your challenge and our engineers will show you how this applies to your product.

Send an Inquiry