FeedOps Learning

FeedOps Learning for better Google Shopping feeds.

FeedOps Learning is the practical resource centre for ecommerce teams that need clearer product data, cleaner Google Shopping feeds, fewer Merchant Center issues, and better product-level performance.

Resource library

Learn the parts of the feed that actually affect performance.

The best FeedOps Learning resources are grouped by job: use guides when you need a practical workflow, explainers when you need a clean concept, and troubleshooting when something in Merchant Center is already hurting visibility.

Guide

Google Shopping Feed Optimization

Improve product titles, attributes, product types, descriptions, Merchant Center health, and product-level monitoring.

Open guide
Guide

Google Shopping Ads Management

Connect Shopping campaign structure, feed quality, zombie products, promotions, and measurement back to product data.

Open guide
Guide

Google Local Inventory Ads Performance Max

Set up and optimise local inventory feeds, store codes, pickup data, Merchant Center validation, and local product measurement.

Open guide
Guide

Google Shopping Title Optimization

Use product title frameworks, examples, AI workflows, and feed QA to improve Shopping relevance and clicks.

Open guide
Guide

Google Shopping Free Listings

Improve organic Shopping visibility with feed quality, Merchant Center checks, eligibility signals, and measurement.

Open guide
Explainer

What Is a Shopping Feed?

Learn what a shopping feed is, what product data it contains, and how Google Shopping feeds power Merchant Center, ads, and free listings.

Open explainer
Explainer

Google Shopping Graph

Understand how product feeds, structured data, product pages, and Merchant Center data support AI shopping discovery.

Open explainer
Explainer

Product Type Google Shopping

Learn how product_type works, why deep descriptive product types matter, and how they support long-tail Shopping relevance.

Open explainer
Explainer

Google Product Category

Separate Google's auto-assigned category taxonomy from your own product types, and know when to check or override it.

Open explainer
Troubleshooting

Google Merchant Center Errors

Fix common Merchant Center issues including GTINs, identifier_exists, price mismatch, shipping, review delays, and suspensions.

Open troubleshooting
Troubleshooting

Google Shopping Ads Not Showing

Diagnose products with no Shopping impressions across Merchant Center, Performance Max, listing groups, budgets, bids, and feed quality.

Open troubleshooting

Where to start

Pick the resource based on the problem in front of you.

FeedOps Learning is built for busy operators, marketers, and agencies. Start with the question you need answered, then move into the related guides once the basics are clear.

Learning themes

FeedOps Learning follows the same product data system we use in practice.

Feed quality

Titles, attributes, product types, categories, descriptions, images, pricing, and availability all shape Shopping visibility.

Merchant Center health

Errors and warnings are rarely isolated. They usually point back to missing, stale, mismatched, or poorly mapped product data.

Campaign structure

Better product data makes it easier to segment campaigns, compare categories, identify waste, and make product-level decisions.

AI discovery

Cleaner product data helps Google and AI shopping surfaces understand what each product is, who it suits, and when to show it.

Free tool

Not sure which resource matters most? Start with the feed.

A free Google Shopping feed audit can show missing attributes, weak product types, title gaps, product visibility issues, and Merchant Center health problems before you decide which guide to use first.