E-Commerce Ads

Elevate Your Online Presence with E-Commerce Ads

Supercharge your e-commerce venture with Proofox's specialized e-commerce Ads services. Our targeted approach goes beyond conventional marketing, delivering measurable results that boost sales and enhance your online visibility.

E-Commerce Ads

Amplify your e-commerce business with Proofox's E-Commerce Ads services. Beyond mere likes, our tailored strategies drive sales and enhance online visibility. Fueled by a robust optimization approach, our services ensure swift, effective, and measurable results. Collaborate with our experts to craft and execute dynamic E-Commerce ad campaigns tailored to your business goals. Propel your brand to new heights in the digital marketplace with Proofox's expertise.

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E-Commerce Ads

Our E-Commerce Ads Approaches

Crafting effective strategies for your online store is crucial. Proofox specializes in E-Commerce Ads, driving sales and enhancing your digital presence. Our dedicated team tailors plans for optimal success in the ever-evolving E-Commerce landscape.

Sales-Driven Approach

A sales-led approach to e-commerce advertising that prioritises revenue, not vanity metrics.

Targeted Facebook Advertising

Highly targeted Facebook campaigns engineered for D2C product growth.

Instagram Shopping Campaigns

Shoppable Instagram campaigns that turn discovery into checkout.

LinkedIn E-Commerce Solutions

B2B-friendly LinkedIn ad strategies for e-commerce brands serving businesses.

Twitter Promotions for Online Stores

Real-time, conversation-driven Twitter promotions to amplify online store reach.

Dynamic Product Showcases

Dynamic product feeds and creatives that showcase your catalogue effectively.

E-Commerce Ads Management Services

Drive Sales with Targeted Ads

Engage potential customers with precision-targeted ads tailored to your e-commerce offerings.

Product-Centric Advertising

Showcase your products effectively through visually appealing and strategically placed advertisements.

Conversion-Optimized Campaigns

Implement campaigns focused on converting leads into customers, optimizing for e-commerce success.

Shopping Platform Integration

Seamlessly integrate ads with popular shopping platforms for a streamlined shopping experience.

ROI Tracking and Analysis

Utilize advanced analytics to track return on investment, refining strategies for optimal results.

Dynamic Remarketing Strategies

Re-engage potential customers with dynamic and personalized remarketing strategies.

Why Your Business Needs E-Commerce Ads Management Services?

Why Your Business Needs E-Commerce Ads Management Services?

  • Boost Sales with Targeted Ads
  • Showcase Products Effectively
  • Optimize Campaigns for Conversions
  • Seamless Shopping Platform Integration
  • Track ROI with Advanced Analytics
Engagement

How We Onboard an E-commerce Account

1

Audit + benchmark

Audit Meta, Google, Amazon, Flipkart accounts. Benchmark CPC, CPP, ROAS per surface vs vertical average.

2

Product feed cleanup

Merchant Center feed cleanup: titles, descriptions, GTINs, attributes, image optimisation. Sync to Amazon Brand Catalog.

3

Tracking + CAPI

GA4, Meta CAPI, Google Enhanced Conversions, Amazon Attribution. Server-side event reliability tested.

4

Multi-surface architecture

Campaign architecture across Google Shopping, Search, YouTube, Meta, Amazon. Budget split based on benchmark performance.

5

Launch + ramp

Soft launch on 50-60% budget. Algorithm relearning for 14 days. Full ramp on day 15.

6

Optimization cadence

Daily monitoring, weekly creative + bid review, biweekly architecture review, monthly business review with strategic recommendations.

Categories

E-commerce Categories We Run Ads For

Apparel & Footwear

Seasonal launches, festive collections, repeat-buyer retargeting.

Consumer Electronics

High-AOV catalog ads, comparison-shopping intent, post-purchase upsell.

Food & Beverage

Subscription, repeat-purchase, festive-gifting plays.

Beauty & Personal Care

Creator collabs, before-after content, replenishment flows.

Health & Nutrition

Subscription, condition-targeted creative, education-led acquisition.

Home & Furniture

Inspiration-led creative, AR-preview integration, longer cycles.

Plans

E-commerce Ads Plans

Pricing is a flat monthly retainer + a small performance bonus on ROAS uplift over baseline. No percentage-of-spend pricing.

D2C Starter
For brands running on 1-2 surfaces, < ₹5L/month total ad spend.
  • Meta + Google Shopping management
  • Up to ₹5L/month ad spend
  • Product feed optimisation
  • Monthly review
  • Email support
Best for: early D2C with <₹2 Cr GMV looking to scale.
Enterprise D2C
Multi-brand, multi-category, complex catalog operations.
  • All surfaces incl. YouTube + display
  • ₹20L+ monthly spend
  • Dedicated team (3-5 people)
  • Marketplace + own-domain coordination
  • Custom dashboards + monthly board pack
Best for: established D2C, multi-brand groups, ₹20L+ ad spend.
5.2×
Monthly revenue growth in 11 months
Case study

Food D2C scaled from ₹40L to ₹2.1 Cr monthly revenue in 11 months

Premium F&B D2C · 12 SKUs · pan-India shipping

Challenge: Brand was running Meta-only at ₹3-4L/month with a respectable 2.8x ROAS but no growth surface. Founders wanted to 3-4× scale without ROAS collapse — a common Indian D2C breakpoint.

Layered in Google Shopping (month 1), Google Search (month 2), Amazon Sponsored (month 3), YouTube Shorts (month 6). Each surface was added at low spend, tuned for ROAS parity with Meta, then scaled. Attribution dashboard showed cross-surface assists clearly.

  • Google Shopping became #2 surface by GMV within 90 days
  • Amazon Sponsored Products grew Amazon listing rank → organic 40% of marketplace sales
  • YouTube Shorts drove top-funnel awareness at 60% of Meta CPM
  • Attribution dashboard showed YouTube as #2 assist channel — budget re-weighted

Outcome: Monthly revenue went from ₹40L to ₹2.1 Cr in 11 months. Blended ROAS held at 3.1x across the scale. Customer acquisition cost stayed within ₹220-₹280 range despite a 5x volume growth.

E-commerce ads in India is a different game from generic performance marketing

Indian e-commerce has matured past the "everyone shops on Amazon and Flipkart" phase. The current reality is a multi-surface buyer: a customer discovers a brand on Instagram, comparison-shops on Google Shopping, reads a review on YouTube, and either buys on the brand's own Shopify store or on Amazon depending on shipping speed, return policy, and price. Running e-commerce ads in India in 2026 means managing campaigns across at least 4-6 surfaces and getting the attribution right enough to know where to allocate the next rupee.

Most Indian D2C brands optimise one surface at a time — Meta this quarter, Google next quarter, Amazon eventually — and lose the compounding effect of full-funnel orchestration. Our model is to run all the relevant surfaces simultaneously with a single attribution view: Meta for discovery, Google Shopping for high-intent comparison, Google Search for branded + non-brand keywords, YouTube for product education, Amazon Sponsored Products for marketplace pull, and re-engagement across all. The result for typical mid-size D2C clients: 25-40% lower blended CAC than single-surface optimisation.

Google Shopping is the highest-intent surface most Indian D2C underuses

When a buyer types "best electric kettle under 2000" into Google, the top of the search results is dominated by Google Shopping product cards — image, price, store name, rating. That intent moment is the most valuable click in the entire e-commerce ad ecosystem, and Indian D2C brands consistently underspend on it relative to Meta. The reason is operational: Google Shopping requires a clean product feed (Merchant Center setup with all attribute fields), GTIN registration where possible, and structured-data on the product pages. Indian SMBs trip on the operational lift and default to easier-but-less-intent platforms.

We do the operational lift as part of onboarding: product feed cleanup, Merchant Center setup with title/description optimisation, Performance Max campaigns configured correctly, image optimisation for the shopping-card thumbnail, and price-competitiveness monitoring. Once the feed is healthy, Google's Performance Max algorithm does the rest — typically delivering ROAS 1.8-3.2× higher than equivalent Meta cold-prospecting spend for catalog-driven D2C businesses. Combined with our Google Ads management and organic SEO for branded search capture, the Google ecosystem becomes the highest-ROAS layer of the stack.

Amazon + Flipkart ads — your store on a competitor's shelf

For most Indian D2C brands selling physical products, Amazon and Flipkart represent 35-55% of total online sales. Ignoring marketplace ads means handing that share to whoever bid better. Amazon Sponsored Products (and Sponsored Brands, Sponsored Display) are the way to defend your listings, attack competitor listings, and accelerate the organic ranking of your products through the platform's algorithm.

Our marketplace ads workflow: keyword research mapped to your catalog (auto + manual targeting blend), competitor-listing ASIN targeting where defensive, dayparting for the audiences most likely to convert, and weekly bid optimisation. We track ACOS (Advertising Cost of Sale) per ASIN and prune under-performers aggressively. For brands also running their own D2C store, we coordinate marketplace-vs-D2C pricing so we're not competing against ourselves on the same Google Shopping result page.

Attribution: where the rupee actually came from

A typical Indian e-commerce customer touches 4-8 ad surfaces before purchasing. With first-click attribution, Meta gets all the credit. With last-click, the branded-search Google ad gets all the credit. Both are wrong, and budget allocations based on either drift toward over-investment in one surface and under-investment in others. We deploy multi-touch attribution from day one — every ad surface tagged with proper UTMs, server-side conversion tracking on the store, and a unified dashboard that shows the full multi-touch journey for closed orders.

The output is decision-grade attribution: which channel produced the order, which channel produced the discovery, which channels were the assist. Indian D2C clients running this model for the first time consistently discover that YouTube and Instagram are vastly under-credited in last-click reports — and that branded search is vastly over-credited. Budget shifts based on this data routinely lift blended ROAS by 15-30% within a quarter.

Glossary

E-commerce Ads Terms Worth Knowing

ROAS (Return on Ad Spend)
Revenue ÷ ad spend. The headline metric for e-commerce ads. 2.5-4x healthy for most D2C; 4x+ exceptional; below 1.5x usually unsustainable.
CAC (Customer Acquisition Cost)
Total cost to acquire one new customer. Compared against LTV (Lifetime Value); LTV/CAC > 3x is healthy.
AOV (Average Order Value)
Revenue ÷ orders. Levering AOV (via cross-sell, free-shipping thresholds, bundles) is often easier than reducing CAC.
Performance Max
Google's automated cross-channel campaign type. Algorithm decides budget allocation across Search, Shopping, YouTube, Display, Discover, Gmail. Best for catalog-led businesses.
Advantage+ Shopping
Meta's automated shopping campaign. Algorithm decides audience, placement, creative. Catalog feed + creative pool quality drives output.
ACOS (Advertising Cost of Sales)
Amazon-specific metric — ad spend ÷ ad-driven revenue. Lower is better. Different from ROAS (which is inverse).
GTIN / EAN
Global Trade Item Number / European Article Number — unique product identifier. Google Shopping requires GTINs for many product categories.
Catalog Feed
Structured product data exported to ad platforms — title, price, image, availability, brand, color. Quality of feed directly determines Shopping ad quality.
Why us

Why Choose Proofox?

Experts

Highly experienced IT experts

Guarantee

100% satisfaction guarantee

Delivery

Competitive pricing & on-time delivery

Quality

Unparalleled quality assurance

FAQs

Frequently Asked Questions

Which surface should we start with for our D2C launch? +
For most Indian D2C launches: Meta (Instagram) for awareness + first 100 customers, then Google Shopping once the catalog is up, then Amazon Sponsored Products when listing rank is starting to plateau organically. We sequence in this order during onboarding unless your category breaks the pattern.
How do you actually measure ROAS across multiple surfaces? +
We deploy server-side conversion tracking (Meta CAPI + Google Enhanced Conversions + Amazon Attribution) and a unified attribution dashboard that combines all surfaces. Reported per-channel ROAS is corrected for cross-channel assists. The number we report is decision-grade — not the inflated platform-reported numbers.
How long before we see meaningful scale? +
Existing-brand optimisations show ROAS lift within 30 days. Scale (2-3× revenue) for D2C in the 90-180 day range. Multi-surface architecture changes need 14-21 days for algorithms to relearn before performance stabilises.
Do you handle creative production? +
Yes — Reels, static creatives, product photography (if needed), and Amazon A+ content are all in scope on Scale and Enterprise plans. For Starter plans, creative production is an add-on billable item.
What if our product feed is a mess? +
Most onboardings start there. We do feed cleanup as part of week-1 work: title + description optimisation, attribute completion, GTIN registration, image standardisation. Typically takes 4-6 days for a 50-SKU catalog.
Can you also help with Amazon listing optimisation? +
Yes — listing SEO (title, bullets, A+ content, backend search terms) directly affects ad performance because better-converting listings get cheaper ads. We treat listing optimisation and ad management as one workflow.
Do you work with Shopify, WooCommerce, Magento? +
Yes — we have implementation experience across Shopify (most common), WooCommerce, Magento, and custom builds. Tracking + CAPI setup is platform-specific; we handle it during onboarding.
What if our category is too niche for the data to be reliable? +
Below ₹2L/month ad spend, machine-learning-driven campaigns struggle because the algorithm doesn't get enough conversion signal. Strategy in that band shifts to manual-bid Shopping campaigns + tight retargeting + creator partnerships rather than algorithm-led prospecting. We adjust the approach during onboarding.
Pan-India presence

Cities We Serve Across India - E-Commerce Ads

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