How Aza Fashions Boosted
ROAS by 33% with BigAtom
Scaling catalog ads with SKU-level intelligence, Smart Product Sets, and Stop-Loss Automation — from broad campaigns to product-led performance management.
“With BigAtom, we finally had product-level visibility across our entire catalog. Automations like stop-loss helped us reduce wasted spend and scale confidently, both during BAU and high-pressure sale periods.”
A large catalog with no SKU-level visibility
Aza Fashions couldn’t see which products were worth scaling, which had untapped potential, and which were burning budget without results.
Aza Fashions is a prominent player in India’s luxury fashion market — catering to men, women, and children through a robust online platform and physical stores.
With a large, complex catalog, the team needed to move from broad campaign metrics to surgical, product-led performance management to grow profitably on Meta and Google.
Limited SKU-Level Insights
No clarity on per-product ROAS or ad spend, making it impossible to act on individual product signals.
Missed High-Potential Products
Strong-converting products were starved of budget, leaving significant revenue opportunities undiscovered.
Wasted Spend on Poor Performers
Underperforming SKUs continued consuming budget without profitable returns, dragging down ROAS.
Product Performance Management
BigAtom divided the entire catalog into four performance-based segments — each with a clear strategy for budget allocation, scaling, or exclusion.
High Potential Products
Hidden gems with strong ROAS but insufficient budget. Tomorrow’s bestsellers waiting to be unlocked.
Hero Products
Proven top performers delivering strong returns. Priority SKUs to scale further with more budget.
Low Discoverability
Products with limited exposure. Need visibility and testing before a confident budget decision can be made.
Non-Performers
SKUs consuming budget without profitable returns. Candidates for automated exclusion to save ad spend.
Three targeted strategies
Precision automation rules across Meta and Google turned the segmentation framework into measurable, compounding results.
Scaled Hero Products with Smart Sets
BigAtom identified top-performing SKUs and built dedicated Smart Product Sets — concentrating budget on proven winners to compound returns using strict performance thresholds.
Promoted High Potential Products
Products with low ad spend but strong ROAS were surfaced and given dedicated budget — discovering hidden winners and scaling the next wave of bestsellers.
Automated Stop-Loss for Poor Performers
Stop-Loss Automation automatically excluded underperforming SKUs from Meta and Google catalog ads — eliminating manual intervention and plugging budget leaks.
Product-led performance metrics
Shifting to SKU-level precision delivered compounding gains across every dimension of catalog performance.
