Google Shopping Ads

Google reads your product feed — titles, descriptions, categories and attributes — and matches your products to relevant searches automatically, so your feed data effectively is your keyword targeting. You influence which queries you appear for by writing product data around how shoppers search, and you steer which queries hit which bids through campaign priorities and negative keywords. This is why we treat feed optimisation as the core of Shopping management rather than an afterthought to bidding.

Merchant Center is the platform where your product data lives and where Google enforces its shopping policies — accurate pricing, availability, shipping and returns information, and compliant business practices. Suspensions usually stem from mismatches between feed and website data, missing policy pages, unclear contact details or restricted-product issues, and they halt all Shopping traffic overnight. We configure accounts to meet the requirements from the start and monitor warnings continuously, because preventing a suspension is dramatically easier than appealing one.

Weak product data is the most common culprit: vague titles, missing attributes and thin descriptions give Google little to match against, so your products lose eligibility for queries they deserve. Other frequent causes are uncompetitive prices in comparison-heavy categories, bids too low for the auction, disapprovals silently removing products, and poor feed categorisation. We diagnose in that order — data, price competitiveness, bids, approvals — because raising bids on an unmatchable feed just pays more for the same invisibility.

Lead with what shoppers type first: brand, product type and the defining attributes — size, colour, material, model — in roughly that order, front-loading the terms that matter because titles truncate on mobile. Indian search behaviour adds its own patterns, including code-mixed queries and strong model-number searching in electronics, which we bake into title structure by category. We test title variants on high-impression products and let query data, not taste, decide what stays.

Not for every product — GTINs are expected where they exist, and products manufactured without them, such as handmade or own-brand goods, can be submitted with brand and MPN or flagged appropriately instead. Getting identifier handling right matters because incorrect GTINs cause disapprovals while missing-but-available ones limit matching. We audit your catalogue’s identifier situation early and configure the feed accordingly, so approval issues are engineered out rather than discovered later.

It depends on how much control your economics demand. Standard Shopping gives explicit control over query sculpting, negatives and segment bids — valuable when margins vary widely across your catalogue. Performance Max can find additional volume across more surfaces but concedes visibility and control. We often run a structured blend, keeping strategic products under tight standard control while testing PMax where its reach helps, and we will recommend a starting point for your store based on data volume and margin structure.

They inflate it unless you correct for them — a COD order that is refused at the doorstep still counted as a conversion the day it was placed. For stores with meaningful COD share or return rates, we adjust target returns to reflect realised revenue, and where feasible feed corrected conversion data back into the account. Ignoring this is one of the most common ways Indian ecommerce accounts convince themselves an unprofitable campaign is working.

Yes, if the ramp is planned rather than panicked. Algorithms need time to adjust, so we raise budgets and loosen targets gradually in the weeks before the peak, prepare promotion annotations and sale pricing in the feed in advance, and concentrate aggression on hero products with inventory depth. Post-event we throttle back in stages. What wrecks efficiency is doubling budgets on the morning of the sale and doubling them back down a week later.

Sometimes, and honesty matters here: Shopping displays prices side by side, so significant undercutting on identical products will cost you clicks and conversions. Brands succeed at premium prices when the offer differs — bundles, warranties, D2C-exclusive variants, faster delivery or brand trust — or when we focus spend on branded and long-tail queries where comparison pressure is lower. If your pricing makes head-to-head Shopping unwinnable on some SKUs, we will show you which, and redirect that budget.

Free listings show your feed’s products across the Shopping tab and other Google surfaces without per-click charges — genuine incremental visibility that your feed optimisation earns automatically once Merchant Center is configured for it. They do not replace paid Shopping: placement is less prominent and volume for competitive queries stays firmly with paid slots. We treat free listings as a worthwhile bonus on work you are doing anyway, and report their traffic separately so the paid programme is judged on its own numbers.