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.
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.
Early access — concierge onboardingAd spend keeps pushing shoppers to hero products where core sizes are already sold out, hurting conversion and ROAS. SizeRun Guard replaces fragile manual checks with a repeatable, human-approved workflow built around your catalog and finance rules.
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.
A top-spending sneaker still had 80 total units in stock, but 100% of sizes 38–41 were sold out, cutting conversion rate by 68%.
Flagged immediately as 'Core sizes 39 and 40 unavailable' and shifted ad budget to the Sand colourway with a complete size run.
150 units of a bestselling jacket arrived at the 3PL on Wednesday, restoring sizes S, M and L.
Automatically flipped the style from `Flag` to `Eligible` in the next sync so paid social resumed promoting it the same day.
Top-sorted collection items had fragmented sizes, frustrating organic shoppers on mobile.
Provided a daily broken-size report so merchandisers demoted fragmented styles below full-size-run alternatives.
Apparel and footwear trading and performance marketing teams managing paid social and shopping feeds.
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.