I am also investing in Google Shopping. Some teams have a stable ROAS ratio of more than 4: 1, and some have burned $5, 000 and it is difficult to even get back the money. The gap is not in the budget, but in the starting point of the delivery logic.
The underlying logic of Google Shopping ads
There are three competitive dimensions for Shopping ads:Bid, Feed quality, Landing page relevance. Many advertisers only focus on bids but ignore feed quality - in fact, the improvements brought by feed optimization are often 3-5 times greater than bid adjustments.
Google Shopping's algorithm takes into account: the match of the product title to the search terms, image quality, price competitiveness, historical click-through rate, and conversion rate. Among them, the product title is the factor that most directly affects traffic and relevance.
Product Selection: The first step to success in Shopping advertising
Not all products are suitable for Google Shopping. Characteristics of products suitable for focus placement: products with high search volume and clear demand; products with competitive prices; products with good image quality and strong visual appeal; products with profit margins that support advertising costs.
Product selection execution strategy: First select 20-30 core SKUs → run 4 weeks of data → create separate ad campaigns for products that have converted and increase bids → reduce bids or pause for products that have not converted → update the product selection portfolio every quarter.
A real case: A cross-border home furnishing brand uploaded all 400 SKUs with a daily budget of $100, but no product generated enough data. After adjusting to only invest in 30 core products, ROAS increased from 0. 8 to 3. 2 within two weeks - the same budget, different product selection logic, the difference in results was more than 4 times.
Feed Optimization: A Multiplier for Shopping Ads Effectiveness
Product title optimization: Format suggestion - "Brand name + product type + core specifications + color/size". Place the words users are most likely to search for within the first 70 characters of the title (anything beyond that will be truncated on mobile).
Wrong example: "New good-looking home chair"; Correct example: "Homex solid wood dining chair, Nordic style, oak backrest chair, dark brown".
GTIN/MPN/Brand: Branded products must fill in the correct GTIN (barcode), which is the basic qualification to participate in the auction. Products without GTIN will be restricted to some advertising spaces, and their competitiveness will be at a structural disadvantage.
Product pictures: The main image must be a pure image with a white background, and the recommended size is 800×800 or above. Life scene pictures can be placed in the attached picture position. Watermarks or text on the main image will reduce the click-through rate.
Bidding strategy for Shopping ads
Standard Shopping vs Performance Max: It is recommended that new teams first run standard shopping ads to accumulate data (at least 30 days), and then consider PMax after stable conversions are achieved. The risk of going directly to PMax is that the algorithm does not have enough data and it is easy to invest budget in low-quality exposure.
Campaign hierarchy:
- High priority campaigns: core SKUs, high bids, narrow targeting
- Medium priority campaign: sub-core SKU, medium bid
- Low-priority campaigns: long-tail products, low bids, used to capture unexpected traffic
The three-tier structure combined with priority (High/Medium/Low) settings allows high-value products to receive traffic first without giving up long-tail opportunities.
Common Shopping ad failure signs
When the following signals appear, you need to intervene immediately for optimization:
- Low impressions but already high bids → Feed quality issue, check title and GTIN
- More clicks but less conversions → Landing page issues, check price, trust elements, checkout process
- ROAS continues to decline → Market competition intensifies or prices are no longer competitive
- Zero exposure for a certain type of product → Out of stock or incorrectly filled in feed attributes
