How should I structure my Google Shopping product data feeds to minimize wasted ad spend on low intent search queries
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How should I structure my Google Shopping product data feeds to minimize wasted ad spend on low intent search queries
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Google Merchant Center product data specification title product_type custom_label Google Ads Shopping search terms optimization feed quality Google ↗
Google Shopping feed optimization low intent search queries product title custom labels negative keywords campaign structure Google ↗
- Product data specification · support.google.com
- Product data specification · support.google.com
- 15 Do’s and Don’ts · services.google.com
- Shape Up Your · services.google.com
- Add negative keywords to campaigns · support.google.com
- Add negative keywords | Shopping Automation | Google for Developers · developers.google.com
- About negative keywords · support.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Google Merchant Center product data specification title product_type custom_label Google Ads Shopping search terms optimization feed quality OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Google Shopping feed optimization low intent search queries product title custom labels negative keywords campaign structure OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |