Overview:

Aggressively scaled a high-growth eCommerce account using a data-driven Google Ads strategy across Search, Shopping, and Performance Max to maximize revenue while maintaining strong profitability.

Impact:

• Scaled ad spend to ₹2.7L from ₹1.6L within a month, generating ₹26.6L (+107%) in tracked revenue
• Achieved an overall ROAS of 9.81 at scale
• Doubled the conversions at an average CPA of ₹515.7
• Increased visibility on broad keywords to boost overall sales

Approach:

• Restructured the Google Ads account with a cleaner campaign and asset-group hierarchy to support aggressive budget scaling.
• Segmented campaigns by funnel stage and intent to control profitability during high-spend phases.
• Built multiple Shopping listings for top-performing SKUs using diversified titles to dominate high-intent queries.
• Optimized the product feed by improving titles, attributes, and categorization for stronger relevance and impression share.
• Shifted to value-based bidding (tROAS) once enough data was generated to protect ROAS during scale.
• Performed weekly search term mining and budget reallocation to cut waste and push high-ROAS segments.