Stop Wasting Ad Budget on Fringe-Size Leftovers
A product with 40 units left only in XXS and XXL looks 'in stock' to ad platforms, but converts at a fraction of normal rate. SizeRun Guard catches broken curves immediately.
Ad spend keeps pushing shoppers to hero products where core sizes are already sold out, hurting conversion and ROAS.
Early access — concierge onboardingApparel and footwear trading and performance marketing teams managing paid social and shopping feeds.
Monitor variant-level inventory across active sales channels against your core size curve and flag or suppress broken-size-run SKUs with transparent rule explanations.
A product with 40 units left only in XXS and XXL looks 'in stock' to ad platforms, but converts at a fraction of normal rate. SizeRun Guard catches broken curves immediately.
Define what 'healthy stock' means per category — e.g., Women’s Footwear requires 37–40 in stock, while Men’s Tops require at least 3 of S/M/L/XL above 5 units.
As soon as warehouse replenishment restores core sizes, products automatically flip back to 'Eligible' so campaigns capture peak demand without manual spreadsheet checks.
| Item / Record | Rule Observation | Decision Status |
|---|---|---|
| Runner / Black | Core sizes 39 and 40 unavailable | Flag |
| Runner / Sand | Core sizes available | Eligible |
| Boot / Tan | Channel stock unmapped | Review |
Variant stock by location/channel, your core size definitions by category, and your current campaign or feed structure.
Starts in preview-and-alert mode so your growth team can verify every flag before enabling automated feed exclusions.
Rather than dropping you into a generic self-serve setup, we configure rules, field mappings and exception thresholds directly against your store’s workflow before you go live.
No. Requesting access starts your onboarding review. Any paid deployment begins only after you approve the exact scope, deliverables and fee.
No. Initial rule calibration works with standard exports or a live workflow walkthrough. Marketing updates are completely separate and optional.
Catch catalog gaps before products go live.
Verify complex discount, bundle and stacking rules before launch.
Turn sales and return signals into reviewed garment specs and Shopify drafts.