×

Request a free diagnostic

Share your website, the marketing or revenue challenge you want to address, and the decision you need to make next. Scale Orbit will review your context and reply with a practical next step.

← Back

Thank you for your response. ✨

Microsoft Shopping Campaigns: Product Feeds and Product Groups

Pexels karolina grabowska 7681076

Microsoft Shopping ads use product information from a merchant feed to match catalog items with relevant shopping searches. A campaign can be configured correctly and still struggle if the feed has incomplete, stale, or inconsistent product data. Start with the catalog and landing-page truth before adjusting bids.

Prepare the product data

A feed describes items with attributes such as title, product identifier, price, availability, image, and destination page. The exact required fields depend on the market and product category. Keep feed values consistent with the page a shopper reaches; differences in price or stock status can lead to disapproval or a poor experience.

Write titles for clarity rather than keyword repetition. Include the details that distinguish the product, such as brand, model, size, or type when relevant. Use accurate identifiers and direct, crawlable product images instead of generic category pages.

Organize with product groups

Product groups let a campaign subdivide the catalog for bids and reporting. Common splits use product type, brand, category, or custom labels, but a division is useful only if it supports a distinct budget or decision. If too many groups have almost no traffic, management becomes harder without adding insight.

Separate products with different margins, inventory limits, or strategic roles when that distinction changes what the business is willing to pay. Keep the mapping documented so the same product is not unintentionally managed under conflicting assumptions.

  • Check diagnostics for missing, disapproved, or outdated items.
  • Compare feed title and landing-page details for consistency.
  • Review product-level outcomes alongside campaign averages.

Measure beyond clicks

Shopping traffic should be evaluated through product views, add-to-cart behavior, orders, returns, and margin where the data is available. A product with high ad-attributed sales may still have weak contribution after discounts, shipping, and returns. Review the catalog and conversion data together before scaling a product group.

Related guides

Your reaction

How did this article land?

Choose one reaction. You can change it anytime.

Email verification required

Write for Scale Orbit

Turn practical experience into a public body of work

Share useful lessons about revenue, marketing, analytics, CRM, conversion, and growth. Build a visible author profile and learn what resonates with practitioners.

  • Public author profile and publication archive
  • Editorial support for your first article
  • Views, reactions, followers, and topic discovery
  • Free publishing with clear moderation rules

Email verification is required. Every first article is reviewed. Publication, rankings, traffic, leads, and revenue are not guaranteed.

THE NEXT STEP

Need to connect acquisition with revenue?

Share what you are trying to improve across acquisition, CRM, or measurement.

✎ Write

Discover more from Scale Orbit | Revenue Systems for B2B Growth Teams

Subscribe now to keep reading and get access to the full archive.

Continue reading