GOOGLE SHOPPING ADS AGENCY IN INDIA FOR MERCHANT CENTER AND PRODUCT FEEDS

AB Media Co, because we start in your catalog, where Shopping is won, and we measure it in your store.

Our team has spent more than ten years in performance marketing, generating ₹3,300 Cr+ in revenue for 100+ brands on ₹100 Cr+ of managed ad spend. A senior person leads every account, and we track what you sold rather than what the dashboard claims.

Three things mark our Shopping work. We rebuild the feed before we raise a bid. We sort products by what they earn, so your budget follows margin rather than popularity. And we report orders and return product by product, from your store’s data.

Soni Cosmetics’ monthly sales grew 7x once its ads and store were fixed together, and an ecommerce brand’s Performance Max runs about 27x the industry norm, because years of AI SEO built a warm audience the ads retarget. Not on day one.

The first discovery call is on Google Meet. Ask for the free mini audit, and we will start with your Merchant Center.

You send your product data to Merchant Center, Google matches it to searches, and the ad shows the product’s photo, title, price and store name before anyone clicks.

Google Ads Help says that data, not keywords, decides how and where your ads show. That one fact changes where the work sits. In a Search campaign, we would spend a week on keywords. In Shopping, we spend it on titles, categories and attributes, because they do the matching.

Billing depends on the campaign. Google says Shopping campaigns charge per click, while Performance Max charges for performance such as clicks or CPM. Both run from the same feed.

Here is how our team sets it up. We clean the feed, link Merchant Center to your Google Ads account, confirm that purchases are tracked, and split the catalog by margin before the first rupee spends. Then we read the search terms each week and feed what we learn back into your titles.

Account-level problems first, then whatever blocks the most sales, which is rarely the problem with the most warnings.

Account problems can stop every product at once, so our team clears those before anything else: missing contact or returns details, and shipping settings that disagree with your checkout.

Then we sort disapprovals by what those products could sell, not by how many there are. A hundred low-margin items can wait for ten best sellers.

Price comes next. Merchant Center Help asks for an amount and currency that match your landing page and checkout, so we find where the feed lags behind the store and fix the sync. GTINs follow, sourced from the manufacturer and never guessed.

We hand you the findings ranked, each with its fix, and we then make those fixes ourselves. Nothing is left as a list of errors for your team to solve, because a diagnostics screen on its own has never sold a product.

We treat each title like a keyword list with a 150-character limit, then fill in everything else Google can use.

Merchant Center Help says titles are used to match a product to a search, and that the important details should come first. So the brand, the product type and the deciding attribute lead, in the words your buyers type. We take those words from your search terms report, not from the description on your store.

Then the rest of the feed. We set the product category, fill color, size and material, keep images free of promotional text and add custom labels. Merchant Center Help also says titles should stay free of price, sale dates and shipping details, which belong in their own attributes.

Each change gets checked against the product by a person on our team, because a feed can be large and wrong at the same time.

When the feed is right, every campaign running on it improves at once. That is why we do this first, and why it keeps paying after the campaign changes.

Often both, decided by your margins and your data, and each one has to prove itself on your sales.

Here is the difference as Google Ads Help lays it out. Standard Shopping reaches the Shopping tab, Search results, Images and search partners, and it allows manual CPC as well as automated bidding. Performance Max adds YouTube, Display, Gmail, Demand Gen and Maps through local inventory ads, and its bidding is automated.

In our experience Performance Max earns its place when conversion data is clean and the audience is warm. Standard Shopping earns its place when margins are thin and you need to see which searches spend the money.

So our team tests before we decide. Let’s say a catalog of 3,000 products has very different margins. We might run Performance Max on proven sellers and Standard Shopping on the rest, then read a month of orders by product. The budget then goes where the profit is, whatever the campaign type is called.

It means each group of products gets a budget and a target from what it earns, instead of one target for the whole catalog.

We start with custom labels. Merchant Center Help gives you five, as filters for Performance Max, Shopping and Demand Gen campaigns, with examples such as seasonal, clearance or selling rate. We add margin band and price band, and we keep them updated from your store.

Those labels become product groups and asset groups, each with its own target. Let’s say you keep 25% of an order after costs. Break-even ROAS is then 4, and no group at that margin gets a target below it. A higher-margin group can bid harder and win more auctions.

Each week our team reads spend and orders by product. Your report has to stand up to scrutiny, and Akshit Bhasin wants every number “real and attributable,” so product ROAS comes from your store’s orders, with Google’s count beside it.

They draw on one set of product facts: the data you keep in Merchant Center. Clean it once, and the ad and the AI answer both have better material to work with.

Google’s guide to AI features lists checking your Merchant Center information among its best practices, and says AI Overviews and AI Mode may fan one question out across subtopics and data sources. A buyer asking for the best option under a budget is asking for facts: product, price and stock.

Nobody controls when an AI answer names a product, and we do not promise it. Here is what we control. Price, availability, GTIN and brand stay accurate on every item, product schema on your pages matches the feed, and the key facts sit in your HTML.

This is where our two practices meet at AB Media Co. We read the result in your Share of Decision: how often the buyer, or the machine buying for them, picks you.

Usually disapproved products, a broken link between accounts, or a target set too high for the budget. We check them in that order, and the fix is rarely a bigger bid.

We start in Merchant Center: is the account in good standing, are these products approved, do price and stock match the store? Then the link. Merchant Center has to be connected to the right Google Ads account, and we confirm that before anything else changes.

Next, the campaign. We read locations, product filters, product group exclusions, budget and bidding, because one wrong filter can hide a whole category. A ROAS target far above what the products have earned can also choke delivery.

Then we look at impression share and competitive data by product, which tells us whether a product is missing the auction or losing it. Those two answers lead to different work.

You get the cause, the fix and the date we will recheck it, usually inside the mini audit itself.

You set the ad budget, Shopping campaigns charge by the click, and Google Ads Help lists 18% GST on its invoices. What a click costs depends on your category, your competitors and your feed.

So we plan from your margin rather than from a benchmark. Let’s say your average order is ₹2,000 and you keep ₹600 after costs. You can afford up to ₹600 in ad spend per order. If 2% of clicks turn into orders, that is about ₹12 a click at break-even, and anything under it is profit.

There is no markup on media, and the spend goes on your own card. The work we quote is sized from your catalog: how many products, how broken the feed is, and how many labels and campaigns it needs.

Everything starts with the free mini audit. After it, the complete ads audit costs ₹30,000 to ₹80,000 depending on account and catalog size, and that amount is adjusted against your first month.

Enough to clear your margin first. How far above that depends on your products, your prices and how many buyers already know you.

Nobody controls an auction, so we give you the method and not a number. We set a target for each margin group, track it against store orders, and move budget to the groups that beat it.

Three things have moved ROAS most in our experience. Feed quality comes first, because clear titles and complete data win better searches. Tracking comes second, because Google can only optimize toward conversions it can see. Audience comes third, because Performance Max does best when people already search for your brand.

That third one is why the ecommerce brand on this page sees about 27x the industry norm: years of AI SEO built the warm audience. Not on day one. A new store has to build that audience before it can expect those returns, and we plan your first 90 days around that reality.