Vero Moda Case Study | BigAtom Scaling & Efficiency
CASE STUDY

Scaling Catalog Ads The Vero Moda x BigAtom Growth Story

How BigAtom enabled Vero Moda to transition from discount-dependent growth to SKU-level automation, reducing wasted ad spends and unlocking profitable scale across Meta & Google.

Efficiency Lift
80%
Improvement in ROAS
Scale Index
25%
Increase in AOV

Join 500+ brands already optimizing their catalog ads with BigAtom.

Only Brand 1 Brand 2 Brand 3 Brand 4 Brand 5 Brand 6 Only Brand 1 Brand 2 Brand 3 Brand 4 Brand 5 Brand 6
Brand 7 Brand 8 Brand 9 Brand 10 Brand 11 Brand 12 Brand 13 Brand 7 Brand 8 Brand 9 Brand 10 Brand 11 Brand 12 Brand 13

Challenges in Scaling Outcome

Growth was constrained by these three critical bottlenecks identified during the optimization phase.

Discount Dependency

Scaling was tethered to heavy discounting at ~45% average depth, making profitability unstable as volumes grew across Meta and Google.

Lack of SKU Control

Limited visibility into product-level performance prevented shifting spend to high-margin, high-converting items dynamically across the 30k+ SKU catalog.

Inventory Inefficiency

Inability to sync live variant-level inventory led to wasted spend on products missing core sizes or colors — technically in stock, but commercially ineffective.

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