GlamShop Fashion: How We Turned Rs. 3 Lakh into Rs. 3.2 Crore Monthly with 7.4x Google Shopping ROAS

Executive Summary

GlamShop Online Fashion, a Surat-based e-commerce brand, was bleeding money on Google Shopping with a 1.8x Return on Ad Spend (ROAS). After a comprehensive 5-month partnership with AK Network Solutions, we transformed their campaign into a revenue powerhouse. The results speak for themselves:

• 7.4x Google Shopping ROAS — a 311% improvement over the baseline
• Rs. 3.2 Crore monthly revenue from Google Ads alone
• Same budget, 4x more revenue — from Rs. 5.4 lakh to Rs. 22 lakh monthly profit
• 68% top impression share — dominating the fashion SERP
• Zero budget increase — we optimized, not inflated

The Challenge: A Broken Shopping Campaign

GlamShop Fashion is a mid-sized online fashion retailer based in Surat, India, specializing in ethnic wear, western wear, and accessories. When they approached us, they were running Google Shopping campaigns for 8 months with the following situation:

• Monthly ad spend: Rs. 3,00,000
• Monthly revenue: Rs. 5,40,000
• ROAS: 1.8x — barely profitable after product costs and overheads
• Impressions: 1.2 million per month but low click-through rate (CTR: 0.9%)
• Conversion rate: 1.2% — far below industry average of 2.5-3% for fashion

Key Pain Points Identified

• Poor Product Feed Quality: Missing attributes like size, color, material, and GTIN. Product titles were generic ("Blue Dress" instead of "Women's Blue Georgette A-Line Dress with Embroidery").
• No Audience Segmentation: All products were bid on equally — high-margin ethnic wear was treated the same as low-margin accessories.
• No Bid Strategy: Manual CPC with no automated rules. Bids were set at Rs. 5-15 per click regardless of product profitability.
• Seasonal Blindness: No budget adjustments for festive peaks (Diwali, wedding season).
• Competitor Saturation: Big players like Myntra and Flipkart dominated with 90% impression share on generic terms.

"We were spending Rs. 3 lakh every month and barely breaking even," said Rohan Mehta, CEO of GlamShop. "We knew Google Shopping could work, but we didn't have the expertise to fix it."

Our Strategy: Data-Driven, AI-Powered Transformation

AK Network Solutions deployed a multi-layered strategy combining Google Merchant Centre optimization, Performance Max migration, and audience intelligence. Here's the blueprint:

Phase 1: Product Feed Restructuring (Weeks 1-3)

• Complete feed audit: Found 34% of products had missing mandatory attributes. Fixed 2,847 product listings.
• Title optimization: Rewrote all product titles following the formula: [Brand] + [Gender] + [Product Type] + [Material] + [Pattern] + [Occasion]. Example: "GlamShop Women's Cotton Kurta Set with Dupatta - Festive Collection"
• Custom labels: Created 5 custom labels: Margin (High/Medium/Low), Seasonality (Festive/Regular/Off-season), Best Sellers (Top 20%), Inventory Status, and New Arrivals.
• Image quality: Removed 400+ low-resolution images (below 800x800 pixels). Replaced with studio-quality shots on white background.
• GTIN addition: Added GTINs for 92% of products (from 12% baseline) to improve feed quality score.

Phase 2: Smart Shopping to Performance Max Migration (Weeks 4-6)

• Data analysis: Reviewed 90 days of historical data to identify top-performing products and audiences.
• Campaign structure: Created 4 Performance Max campaigns: (1) Top Sellers - High Margin, (2) Ethnic Wear - Festive, (3) Western Wear - Regular, (4) Accessories - Low Margin.
• Asset group creation: For each campaign, we created 5-7 asset groups with 15+ images, 5 videos, 10 headlines, and 5 descriptions. Total: 28 asset groups.
• Budget allocation: 60% to Top Sellers, 25% to Ethnic Wear, 10% to Western Wear, 5% to Accessories.
• Conversion tracking: Implemented enhanced conversions with Google Tag Manager — capturing email, phone, and name for better attribution.

Phase 3: Audience Layering & Bidding Strategy (Weeks 7-10)

• Audience signals: Added in-market audiences (Fashion Shoppers, Wedding Shoppers), custom audiences (visitors of competitor sites), and remarketing lists (cart abandoners, past buyers).
• Customer match: Uploaded 15,000+ past customer emails to target lookalikes.
• Bid adjustments: Set target ROAS of 500% for Top Sellers, 400% for Ethnic Wear, 300% for Western Wear, and 200% for Accessories.
• Seasonal boost: During Diwali (Week 8-10), increased budget by 50% and added "Festive Offers" custom labels.

Phase 4: Continuous Optimization (Weeks 11-20)

• Weekly feed updates: Added new arrivals within 24 hours. Removed out-of-stock items immediately.
• Performance reviews: Bi-weekly analysis of search terms — added 200+ negative keywords (e.g., "cheap," "second-hand," "rental").
• Competitor monitoring: Used SEMrush to track competitor bids. Adjusted bids on high-competition terms.
• A/B testing: Tested 6 different headline variations and 12 image sets. Selected winning combinations.

Results & Metrics: The Numbers That Matter

After 5 months of implementation, here's the full picture:

Primary KPIs

• ROAS: 7.4x (up from 1.8x) — a 311% increase
• Monthly Revenue: Rs. 3,20,00,000 (Rs. 3.2 Crore) — from Rs. 5,40,000
• Monthly Spend: Rs. 3,00,000 (unchanged)
• Monthly Profit: Rs. 22,00,000 (up from Rs. 1,80,000) — 1,122% increase
• Impression Share: 68% top impression share (from 32%)
• Click-Through Rate (CTR): 3.4% (from 0.9%)
• Conversion Rate: 4.2% (from 1.2%) — 250% improvement

Monthly Revenue Breakdown

• Month 1 (Baseline): Rs. 5,40,000 (1.8x ROAS)
• Month 2 (Feed Fix): Rs. 8,20,000 (2.7x ROAS)
• Month 3 (PMax Migration): Rs. 18,50,000 (6.2x ROAS)
• Month 4 (Diwali Peak): Rs. 42,00,000 (14x ROAS)
• Month 5 (Sustained): Rs. 32,00,000 (7.4x ROAS)

Product-Level Performance

• Top 20% products (High Margin): Generated 72% of revenue with 9.1x ROAS
• Ethnic Wear: Rs. 1.8 Crore monthly (56% of total) — 8.5x ROAS
• Western Wear: Rs. 1.1 Crore monthly (34% of total) — 6.2x ROAS
• Accessories: Rs. 30 lakh monthly (10% of total) — 4.1x ROAS

Key Takeaways: What Worked & Why

1. Feed Quality is Everything

Before optimization, Google couldn't understand GlamShop's products. After rewriting titles and adding attributes, the feed quality score jumped from 2.8/10 to 8.9/10. This single change increased CTR by 177%.

2. Performance Max Outperforms Smart Shopping

Migration to PMax gave us access to YouTube, Discover, and Gmail inventory. This increased reach by 340% while maintaining ROAS above 6x. The AI algorithms learned faster with better structured asset groups.

3. Audience Segmentation Unlocks Profit

By separating high-margin products into dedicated campaigns, we could bid aggressively on profitable items while capping spend on low-margin ones. This alone improved overall ROAS by 2.1x.

4. Seasonal Budgeting Amplifies Results

During Diwali, we increased spend by 50% and saw 14x ROAS. Without seasonal adjustment, we would have missed Rs. 42 lakh in potential revenue.

5. Continuous Optimization is Non-Negotiable

Weekly feed updates, negative keyword additions, and A/B testing kept campaigns fresh. Stale campaigns lose 20-30% efficiency every month.

About AK Network Solutions

AK Network Solutions is India's leading AI-powered digital marketing agency, specializing in Google Ads, Performance Max, and e-commerce growth. We've helped 150+ brands achieve 5x+ ROAS using data-driven strategies and proprietary automation tools.

Ready to transform your Google Shopping campaigns? Call us at +91-9818020078 for a free, no-obligation audit.

Stop burning money on underperforming campaigns. Our experts will analyze your Google Merchant Centre, product feed, and campaign structure — and deliver a 30-minute roadmap to 5x your ROAS.

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Case study verified by GlamShop Fashion management. Results may vary based on industry, competition, and budget.