Google Shopping is one of the highest-intent advertising channels available to Indian D2C brands — users searching for a specific product are further down the purchase funnel than almost any other audience you can reach. Yet the majority of Indian D2C brands running Shopping campaigns are operating with severely under-optimised product feeds, leaving impression share and conversion volume on the table while paying the same CPCs as better-optimised competitors.
The fix is almost always in the feed, not the bids. This guide covers everything Indian D2C brands need to set up and optimise Google Shopping ads effectively in 2026, including a feed quality checklist specific to Indian product categories.
How Google Shopping Works in India
Google Shopping ads (now part of Performance Max in most configurations, but still available as Standard Shopping campaigns) display product images, prices and store names at the top of Google search results when users search for product-related queries. In India, Shopping ads appear for searches like "buy running shoes under ₹3000", "cotton kurta for women Myntra", or "best protein powder India 2026" — high-intent commercial queries where the user is actively looking to purchase.
According to Google India's 2025 Advertiser Insights report, Shopping ads in India deliver 2–4x higher click-through rates than standard text ads for product-specific queries, and conversion rates that are 35–55% higher than Display campaigns for the same category. The channel is underutilised by Indian D2C brands relative to its potential — primarily because feed management is more technical than standard search or social campaigns.
Setting Up Google Merchant Center for India
Product Feed Quality: The Indian D2C Checklist
The product feed is the single most important factor in Google Shopping performance. Google's algorithm uses feed data to match your products to search queries — a poorly structured feed means your products appear for irrelevant searches (wasting spend) or miss relevant searches entirely (losing impression share). Here is the feed quality checklist specific to Indian product categories:
Required Fields — Common Indian Mistakes
title: The most impactful optimisation. Include: Brand + Product Name + Key Attribute + Size/Colour. Example: "Nykaa Beauty Vitamin C Serum 30ml — Brightening, All Skin Types". Indian titles frequently omit size/volume/material, which reduces match quality significantly.
price: Must be in INR with explicit currency code (INR or ₹). Feed price must exactly match the price on the landing page. A ₹1 discrepancy causes disapproval. Include any GST in the price if your displayed price is GST-inclusive.
availability: Set to "in stock", "out of stock" or "preorder". Do not leave blank. Blank availability causes disapprovals for many Indian feeds.
image_link: Minimum 800×800px, white or neutral background for apparel and accessories. Lifestyle images are allowed as additional_image_link but the primary image must show the product clearly. Watermarks on main product images cause disapprovals.
GTIN and MPN: The Indian D2C Gap
GTIN (Global Trade Item Number — the barcode on your product) is technically optional for many product categories but strongly recommended. Indian D2C brands frequently skip GTIN because many private-label products don't have a registered barcode. This is a significant missed opportunity: products with valid GTINs have 20–40% higher impression share than equivalent products without GTINs, because Google can match them to Shopping Graph data including user reviews, pricing history and product knowledge.
If your products don't have registered GTINs (common for Indian private-label D2C brands), use the MPN (Manufacturer Part Number) field with your own internal SKU code and set identifier_exists: FALSE in your feed. This tells Google that no GTIN exists and prevents the "missing GTIN" disapproval while still enabling your products to serve.
Product Type and Google Product Category
Indian D2C brands frequently leave the google_product_category field blank or set it to an overly broad category. This is a significant feed quality issue — without a specific category, Google cannot accurately match your products to category-specific queries.
Use Google's full taxonomy hierarchy. For an Indian D2C brand selling protein supplements: Health & Beauty > Health Care > Fitness Nutrition > Protein Supplements rather than just Health & Beauty. The more specific the category, the more accurately Google can match your products to relevant queries.
Indian-Specific Feed Attributes
- size_system: Set to "IN" for Indian size conventions. Indian clothing sizes (XS/S/M/L/XL vs. US/UK/EU sizing) cause significant customer experience problems if not specified correctly.
- color: Use common Indian colour names where applicable — "Mehendi Green" or "Gulabi Pink" may be more relevant for Indian search matching than purely English colour names for ethnic wear categories.
- material: Critical for Indian textile categories — cotton, silk, linen, polyester. Indian shoppers frequently filter by material in apparel searches.
- pattern: For Indian ethnic wear, dupatta, sarees and kurtas — "Bandhani", "Block Print", "Chikankari", "Ikat" as pattern values are legitimate feed attributes that improve matching for category-specific searches.
Campaign Structure: Standard Shopping vs. Performance Max
- Full control over bidding by product group
- Searchable search term reports
- Negative keyword support
- Best for: established brands with historical data
- Recommended minimum: ₹500/day per campaign
- AI-driven bidding across all Google inventory
- Limited search term visibility
- Limited negative keyword control
- Best for: new accounts building conversion data
- Recommended minimum: ₹1,000/day to exit learning
For most Indian D2C brands with 3+ months of conversion history, Standard Shopping campaigns with manual CPC or Target ROAS bidding give better control and transparency than Performance Max. PMax is useful for new accounts that need to generate initial conversion data, but once you have 30+ monthly purchase conversions, Standard Shopping with segmented product groups by margin tier typically outperforms PMax on true ROAS.
Bidding Strategy for Indian Shopping Campaigns
The correct bidding progression for Indian D2C Shopping campaigns:
Festival Season Shopping Strategy for India
Google Shopping CPCs in India spike 60–150% during festival seasons (Diwali, Navratri, Pongal, Eid). Pre-event preparation is essential:
- Update feed prices to reflect any festival discount pricing at least 24 hours before the event — Google's feed refresh can take up to 24 hours, and Shopping ads that show pre-discount prices while your landing page shows discounted prices create disapprovals
- Increase daily budgets 3–5x for your top-performing product groups in the 5 days before and during the festival window
- Add festival-specific promotional text in your Merchant Center promotions feed — "Get 20% off this Diwali" on the Shopping ad listing significantly improves CTR
- Use the
sale_priceandsale_price_effective_datefeed attributes for time-limited festival discounts rather than changing the base price — this shows a strikethrough original price alongside the sale price in the Shopping listing
For complete multi-platform campaign management including Google Shopping alongside Meta and marketplace ads, see AdsSarthi's Google Ads management features. Our platform handles feed monitoring, bid automation and festival-period budget scaling with India-specific logic built in. Get a free Shopping feed audit to identify the specific feed issues suppressing your impression share.
A 2025 Google India study found that Indian D2C brands with fully optimised Shopping feeds (complete attributes, correct GTINs, size/colour variants) achieved 43% higher impression share and 28% lower CPC than equivalent brands with incomplete feeds — confirming that feed quality improvement is the highest-ROI optimisation available in Google Shopping before any bid changes.