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Nilesh Chawla

Head of Digital Marketing

Performance Marketing

Fractional CMO

SEO Expert

Growth Strategist

Nilesh Chawla
Nilesh Chawla

Head of Digital Marketing

Performance Marketing

Fractional CMO

SEO Expert

Growth Strategist

eCommerce — 20% Conversion Growth While Improving ROAS

Project

Performance Max (PMax) Scaling & ROAS Optimization for a USA-Based Lighting eCommerce Brand

  • Goal: Scale purchase volume aggressively while preserving acquisition efficiency, ROAS stability, and long-term profitability.
  • Focused on increasing conversion volume through smarter product segmentation, signal optimization, budget reallocation, and inventory prioritization.
  • Implemented a performance-scaling framework designed to improve conversion output without sacrificing revenue efficiency or inflating acquisition costs.

Performance Highlights & Wins

Conversion Volume Scaling
  • Increased conversions from 2.68K → 3.23K (+20.5%) within a 28-day optimization cycle.
  • Successfully scaled purchase volume while maintaining strong overall account efficiency.
ROAS Improvement
  • Improved ROAS from 305.65% → 317.33% (+3.8%) despite scaling spend and conversion volume simultaneously.
  • Enhanced overall revenue yield and campaign profitability.
Efficient Budget Expansion
  • Increased ad spend modestly from $70.6K → $73.6K (+4.2%) while generating significantly higher conversion growth.
  • Achieved stronger output efficiency relative to spend increase.
Stable Acquisition Costs
  • Maintained stable cost-per-purchase performance around $26–27 during scaling.
  • Preserved acquisition efficiency while increasing total purchase volume.

Strategy & Campaign Setup

PMax Segmentation Framework
  • Re-segmented Performance Max campaigns based on:
    • product performance tiers
    • conversion efficiency
    • ROAS contribution
    • inventory profitability
  • Built cleaner campaign structures to improve signal concentration and automated bidding accuracy.
Budget Allocation Optimization
  • Increased budget allocation toward:
    • high-converting SKUs
    • high-margin inventory
    • top-performing product groups
  • Reduced spend exposure on low-efficiency products and weaker conversion drivers.
Smart Bidding Signal Enhancement
  • Improved Smart Bidding performance by increasing:
    • signal density
    • conversion-quality concentration
    • high-intent inventory exposure
  • Refined automated optimization inputs to improve revenue efficiency and scaling stability.
Inventory Prioritization Strategy
  • Prioritized:
    • high-converting products
    • strong-margin SKUs
    • proven purchase-driving inventory
  • Reduced inefficiencies caused by broad inventory dilution across weak performers.
Revenue Tracking & Validation
  • Tightened conversion and revenue tracking validation to improve:
    • ROAS accuracy
    • purchase attribution
    • optimization reliability
  • Ensured cleaner decision-making data for scaling and automated bidding.
Performance Monitoring & Scaling Controls
  • Continuously monitored:
    • ROAS trends
    • conversion efficiency
    • spend allocation
    • inventory performance
    • cost-per-purchase stability
  • Applied ongoing optimization controls to preserve profitability while expanding purchase volume and campaign scale.