Ecommerce Google Ads Management
How We Run Google Ads for Online Stores
An ecommerce Google Ads account is really four systems stacked on top of each other: conversion tracking, the product feed, campaign structure and bidding. If the bottom layer is wrong, everything above it optimizes toward the wrong goal. Here is how we handle each layer for stores on Shopify, WooCommerce, Magento, BigCommerce and custom carts, and how we decide when it is safe to spend more.
Start With Purchase Tracking
Before we touch a bid, we compare purchases in Google Ads with orders in your store for the same days. Gaps are common. Some stores count every thank you page reload, some fire the tag twice from a theme and an app, and some lose a large share of purchases to consent banners and checkout redirects. Smart bidding takes these numbers literally, so a store that double counts purchases will happily overspend on campaigns that look profitable on paper.
We set up purchase tracking with order value and transaction ID to remove duplicates, add enhanced conversions where your platform supports it, and import offline or phone orders if they matter to your business. Micro conversions like add to cart stay secondary, so they inform reporting without steering the budget. Once Google Ads and the store backend agree within a small margin, the data is good enough to bid on.
Fix the Product Feed
Shopping ads and most Performance Max traffic come from the product feed, not your website copy. Titles exported from a store platform often lead with a style name instead of the product type, skip size and material, and leave out the brand. We rewrite titles in the order shoppers search, fill product type and Google product category, add missing GTINs where they exist, and use custom labels for margin tier, price band, seasonality and clearance status.
Merchant Center diagnostics get checked on a schedule. Price and availability mismatches, missing shipping settings and image problems quietly remove products from the auction, and account level misrepresentation flags can stop every Shopping and Performance Max campaign at once. We fix causes in the store or feed, not just the symptom, and keep policy pages and contact details in shape before scaling spend.
Shopping, Performance Max and Search Each Get a Job
Performance Max is strong for proven products with enough conversion history, but it blends Shopping, Search, Display, YouTube and Gmail into one report. Standard Shopping gives you search terms, negative keywords and priority settings, which suit new products, low volume items and anything that needs tight control. Search campaigns catch high intent non branded queries and category terms where a text ad and a strong collection page beat a single product listing.
We usually run all three with clear boundaries: brand exclusions or a separate brand campaign so branded demand does not hide inside Performance Max, a feed only or asset group structure that matches your margin tiers, and Search for categories where you can win on landing page and offer. When one campaign starts cannibalizing another, we adjust the structure instead of letting them bid against each other.
Bid on Profit, Not Vanity ROAS
Break even ROAS is one divided by your margin after product cost, shipping, payment fees and returns. A store with a 40 percent margin needs a 2.5 ROAS just to break even on the first order. We set targets per product group from that math, then adjust for repeat purchase rate, because a store with strong reorders can afford a lower first order return than a store selling one time purchases.
Targets move in small steps, and we avoid switching a campaign to target ROAS before it has enough conversions to support it. Early on, Maximize Conversion Value without a target or tight manual limits often works better. Big swings reset learning and make it impossible to tell whether a change in sales came from the bid, the season or the feed.
Measure New Customers, Not Just Revenue
Google Ads reports revenue, but a large share of that revenue can come from people who already knew your brand. We look at new customer share using the new customer acquisition goal where it fits, compare branded and non branded results, and read your store reports for first time versus returning buyers. That is how you find out whether spend is growing the business or recycling existing demand.
Reporting stays plain: spend, revenue, contribution margin after ad cost, new customers and the products driving them. You get access to the live numbers, not a monthly PDF built to look good.
Plan for Peaks Before They Arrive
Black Friday, Cyber Monday and the December gift window reward stores that raise budgets and bids ahead of demand, not after it. We plan from your own sales history, line up promotions in the feed and Merchant Center early, and use seasonality adjustments for short sales so smart bidding does not mistake a flash sale for the new normal. After the peak we step budgets back down on data, not on a calendar guess.
