A Google Shopping feed audit is worth doing before you increase spend, not after performance starts to wobble. Shopping and Performance Max campaigns rely on product data to match products with searches and build ads. If the feed says one thing and the product page says another, more budget can simply send more shoppers into a broken experience.
The audit does not need to become a major rebuild. Start with the products that matter most to revenue or campaign spend, compare the feed with the live product pages, and fix errors that could mislead shoppers or prevent products from serving.
Start with the products that carry the most risk
Export your product data from Merchant Center or your feed platform. Include the item ID, title, image link, price, availability, product URL, and any relevant brand or identifier fields. Then prioritise products with the most clicks, spend, or business importance. A catalogue-wide issue may be important, but the fastest useful audit usually starts with products that can materially affect results.
Check Merchant Center diagnostics as well. Disapprovals and warnings can point to problems that need attention, but a product passing review is not proof that its information is persuasive, current, or consistent with the landing page.
Google Shopping feed audit checklist
1. Make titles accurate and easy to scan
A product title should tell a shopper what the item is, using the attributes that matter for that product. Depending on the catalogue, those might include brand, product type, model, size, colour, or a useful variant detail. Put the defining information early, where it is less likely to be missed or truncated.
- Check that the title describes the actual product and variant.
- Remove promotional language, repeated keywords, and irrelevant details.
- Keep naming consistent across similar products without making every title identical.
- Compare the feed title with the product name and variant selected on the landing page.
Do not treat titles as a place to insert every possible search phrase. Clarity and product accuracy matter more than a crowded string of keywords.
2. Review images at product level
Open the image URLs rather than relying on a spreadsheet preview. Confirm that each image loads, shows the correct item, and represents the selected variant. Look for outdated packaging, incorrect colours, low-resolution files, or images that are dominated by promotional overlays.
Where a product has useful additional images, make sure they support the decision rather than creating confusion. The first image should make it straightforward to identify what is being sold.
3. Match price and currency to the live offer
Compare the submitted price with the price a shopper sees on the landing page. Check the currency, sale price, and any date range attached to a promotion. A feed that updates on one schedule while the website updates on another can create avoidable mismatches.
Also inspect products with options. If a feed item represents a particular size or colour, the landing page should make that variant and its price easy to verify. Do not rely on a general product page if the advertised offer is only available for a specific option.
4. Keep availability in sync with stock
Availability can change quickly, especially for products with limited stock or frequent sales. Confirm that the feed uses the correct availability value and that it reflects what customers can actually buy. Check how quickly stock changes reach the feed, and pay particular attention to products that have recently sold out or returned to stock.
A useful operational check is to compare a sample of feed availability values with the store system and live product pages. If discrepancies are common, investigate the update process rather than patching individual items indefinitely.
5. Test every landing page
Click product URLs from the feed or a product export. Confirm they lead to the correct item and variant, load successfully on mobile, and show the same offer as the ad data. Watch for redirects to category pages, unavailable products, broken pages, or a default variant that does not match the feed.
This is where a technically valid feed can still fail the shopper. The product exists, but the destination makes it difficult to find or buy the exact item advertised.
6. Check identifiers and product grouping
Where applicable, review brand, GTIN, and other product identifiers for accuracy. Do not copy an identifier from a similar product or guess when one is missing. For variants, make sure the feed represents each sellable option clearly and uses consistent grouping where required.
Google’s product data specification is the right reference for field requirements and formatting. Use it to verify technical rules, then apply your own merchandising judgement to whether the product information is useful to shoppers.
Fix feed issues before changing campaign budgets
After the audit, separate issues into three groups: eligibility problems, shopper-facing inconsistencies, and improvements to product descriptions or imagery. Resolve disapprovals and serious price, stock, or destination mismatches first. Then work through title and image improvements, prioritising the products with the clearest commercial importance.
Once the changes are live, verify that they have reached Merchant Center and check diagnostics again. Then monitor product-level delivery and sales alongside the wider campaign. Avoid changing feed rules, campaign structure, and budgets all at once; otherwise, it becomes harder to tell what improved or caused a new problem.
This discipline fits into a broader Google Ads optimisation process: check the inputs and the customer journey before assuming the bidding strategy is the problem. For Performance Max, feed quality is one part of the setup, not a substitute for sound measurement or a relevant offer. If you are reviewing campaign controls too, see how to assess Performance Max partner settings.
Use the audit as a recurring control
A feed audit is not a one-time cleanup if product data changes every day. Schedule checks around catalogue updates, promotions, seasonal stock changes, and any major website or feed-system release. For large catalogues, automate checks for broken URLs, missing fields, price differences, and availability mismatches, then have a person review the exceptions.
Before raising spend, ask a simple question: does the data in the ad match what a shopper can buy right now? If the answer is uncertain, audit the feed first. Better product data will not guarantee stronger campaign results, but inconsistent data is a preventable source of friction.