Turn ad spend into profitable revenue. Google Shopping, Performance Max, and Meta Ads strategies engineered for ROAS, not vanity metrics.
Product Listing Ads are essential for e-commerce visibility and sales.
AI-driven campaigns are the future. Expertise in PMax is now critical.
Meta and Instagram Ads are driving significant e-commerce revenue.
YouTube and short-form video ads are increasingly effective for D2C.
Why generic ppc strategies don't work for e-commerce businesses
E-commerce margins are tight (15-30%). Every rupee of wasted ad spend impacts profitability.
Managing ads for thousands of SKUs with varying margins and stock levels is operationally complex.
Competing with Amazon and Flipkart on the same keywords with their massive ad budgets.
Festive seasons, sales events, and trend cycles require rapid campaign pivots.
Multi-touch journeys make it hard to know which ads actually drove the purchase.
Shoppers compare prices across platforms, making conversion challenging.
Strategies tailored for the unique needs of e-commerce businesses
Feed optimization, bidding strategies, and campaign structure for maximum ROAS.
Leverage Google's AI-driven campaigns with proper asset groups and signals.
Facebook and Instagram Ads optimized for e-commerce conversions.
Recapture abandoned carts and browse abandoners with precision retargeting.
Optimize product feeds for better visibility and relevance in Shopping results.
Ensure ads land on pages that actually convert visitors into buyers.
Leverage the latest in AI and agentic automation to outperform competitors and scale ppc results faster.
ML models that predict conversion likelihood and adjust bids in real-time for maximum ROAS.
Automatically generate and test ad creative variations at scale using AI.
AI predicts which products and audiences will generate the best returns before spend.
AI analyzes product data and automatically optimizes feed titles, descriptions, and attributes.
Direct-to-consumer brands looking to scale profitably beyond organic.
Stores with large catalogs needing automated, scalable campaign management.
Visual-first brands leveraging Shopping, Instagram, and YouTube ads.
Tech retailers in competitive, price-sensitive markets.
Furniture and decor brands with higher AOV and consideration periods.
Avoid these pitfalls that we see e-commerce businesses make repeatedly
Running only broad match keywords
Use Shopping campaigns, exact match for Search, and smart campaign structures.
Poor product feed quality
Optimize titles, descriptions, and attributes. Feed quality = ad quality.
Ignoring negative keywords
Regular search term audits to exclude irrelevant queries eating budget.
Same bidding for all products
Segment by margin, performance, and competition. Bid differently for winners.
No remarketing strategy
70% of carts are abandoned. Remarketing is essential for e-commerce.
Measuring ROAS without margin context
A 5x ROAS on a 10% margin product may be unprofitable. Track true profit.
Revenue generated per rupee of ad spend. The north star metric.
What you pay to acquire a customer through ads.
ROAS adjusted for product margin—true profitability metric.
ROAS from first-time buyers vs. returning customers.
How often your ads show when they're eligible to show.
How many cart additions convert to purchases (remarketing effectiveness).
Analyze current campaigns, product feed quality, and tracking setup.
Design campaign architecture, audience segments, and budget allocation.
Enhance product titles, descriptions, and feed attributes for better performance.
Build Shopping, Search, PMax, and Meta campaigns with proper tracking.
Weekly bid adjustments, search term analysis, and creative testing.
Expand winning campaigns while maintaining ROAS targets.
Pricing is indicative. We provide custom proposals based on your specific requirements.
Helped a fashion brand scale from ₹2L to ₹15L monthly ad spend while maintaining 8.5x ROAS through Shopping, PMax, and Meta campaign optimization.
Depends on your margins. For 30% margin products, 4x ROAS breaks even. We typically target 5-8x for healthy profitability. We adjust targets based on your specific unit economics.
Both, strategically. PMax is great for scale but less controllable. Shopping provides more transparency. We often run both with different objectives—Shopping for control, PMax for expansion.
Feed segmentation and automation. We use custom labels to group products by margin, performance, and strategy—then apply different bidding and budgets to each segment.
Instagram and Facebook are powerful for D2C, especially visual categories. We run catalog ads, dynamic retargeting, and prospecting campaigns targeting lookalikes and interest-based audiences.
We enhance titles with keywords, improve descriptions, add custom attributes, ensure accurate pricing/availability, and structure the feed for optimal Shopping performance.
Yes. We help prioritize products, set up feed rules for exclusions, and structure campaigns to focus budget on high-potential items rather than spreading thin.
We prep campaigns 4-6 weeks ahead, adjust budgets for anticipated demand, create sale-specific creative, and have daily optimization during peak periods.
We go beyond ROAS to track contribution margin, new vs. returning customer acquisition, and blended CAC. The goal is profit, not just revenue.
Stop wasting budget on tire-kickers. We build Google Ads campaigns that attract serious buyers and investors ready to schedule site visits and make purchasing decisions.
Stop chasing low-quality inquiries. We build precision Google Ads campaigns that connect you with clients who need legal help right now.
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