Shopping Ads
6 min read

Google Shopping Ads Optimisation Tips

The core optimisation principles for Google Shopping campaigns - product feed quality, campaign structure, bidding strategy, and Performance Max.

Why Shopping Ads Underperform

Google Shopping Ads appear at the very top of search results with product images, prices, and titles. For e-commerce businesses, they are often the highest-converting ad format available. Yet many Shopping campaigns underperform because the fundamentals are wrong before a single bid is placed.

The biggest misconception about Shopping optimisation is that it is primarily about bid strategy. In reality, the most impactful improvements happen at the product feed level - the data you provide to Google about your products.

Product Feed Quality Is Everything

Google surfaces Shopping Ads based on how well your product data matches what a user is searching for. Unlike Search Ads, you do not choose keywords - Google matches your product attributes to search queries. This means your product titles, descriptions, and attributes are your targeting.

A product titled 'Blue Running Shoes' will appear for far fewer relevant searches than 'Nike Air Zoom Pegasus 40 Blue Running Shoes - Men's UK Size 10'. The second title includes brand, model, colour, category, gender, and size - all attributes customers search with.

Every product in your feed should have optimised titles that include the attributes most relevant to how your customers search. This single improvement often produces a 20-40% increase in impression share without any budget increase.

Campaign Structure and Product Segmentation

Running all products in a single Shopping campaign with the same bid gives you no ability to prioritise high-margin or high-converting products. Product segmentation allows you to set different bids for different product groups based on margin, performance, or strategic priority.

A typical segmentation approach divides products by brand vs non-brand, by product category, or by margin tier. High-margin products can receive higher bids to capture more impression share; low-margin or underperforming products can be excluded or bid down.

Performance Max and Audience Signals

Performance Max campaigns use Google's AI to show ads across Search, Shopping, Display, YouTube, and Gmail simultaneously. For e-commerce, they can drive strong results - but only when configured correctly.

The most important configuration element in Performance Max is audience signals. These are not targeting - Google can still show to anyone - but they tell the algorithm where to start learning. Strong audience signals include: your customer email lists, website visitors, converters, and custom intent audiences built around high-intent search terms related to your products.

Performance Max without proper asset groups and audience signals often produces mediocre results and wastes budget on low-intent placements. The first 30-60 days require close monitoring to ensure the learning phase is producing meaningful data.

Merchant Center Health and Feed Errors

Disapproved products cannot show ads. Merchant Center feed errors - missing GTINs, mismatched prices, policy violations, incorrect shipping data - silently reduce your eligible inventory and impression share.

A regular Merchant Center audit should check: the number of active vs disapproved products, feed error types and volume, shipping and return policy compliance, and price accuracy between the feed and your website. Even a small number of feed errors can significantly reduce your Shopping campaign's reach.

Ready to Apply This Strategy?

Let Foxsync Global audit your campaigns and implement data-driven improvements that compound over time.