A data-driven performance marketing strategy that took Yokohama from ₹8L to ₹42L in monthly e-commerce revenue with a 6.7x average ROAS.
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₹42L
Monthly revenue
From ₹8L in 6 months
6.7x
ROAS
Average return on ad spend
-58%
CAC reduction
Cost per acquisition
31%
Repeat customers
Up from 12%
Yokohama had launched their e-commerce platform 18 months prior but struggled to scale beyond ₹8 lakhs in monthly revenue. Their previous agency had been running Google Shopping campaigns with a 1.8x ROAS — barely breaking even after accounting for product costs and overhead.
They needed a partner who could dramatically improve efficiency while scaling spend.
We audited their existing campaigns and found significant waste:
- Generic keyword targeting with no negative keyword management
- Single campaign structure with no audience segmentation
- No remarketing strategy
- Product feed optimization was nonexistent — missing attributes, generic titles
We rebuilt their product feed from scratch:
- Rewrote all product titles with search-optimized formatting
- Added complete product attributes (material, size, color, use case)
- Implemented dynamic pricing rules for competitive positioning
- Set up automated feed health monitoring
We built a layered campaign structure:
- Top of funnel: Broad awareness through YouTube and Display
- Mid funnel: Category-level search campaigns targeting research-phase queries
- Bottom funnel: Product-specific Shopping campaigns for high-intent traffic
- Retention: Remarketing sequences with dynamic product ads
Over 6 months, we transformed their e-commerce performance:
The biggest lever was not spend — it was structure. By segmenting campaigns by intent level and optimizing the product feed, we made every rupee work harder. The 6.7x ROAS means for every ₹1 spent on ads, Yokohama earned ₹6.70 in revenue.