# Optimizing Google Shopping Campaigns Structures With Query-Level Matching

**Authors:** Mathieu Raffinot, Romain Rivière  
**arXiv:** [1708.04586](https://arxiv.org/abs/1708.04586)  
**Date:** 2017-08-03  
**Summary page:** https://www.summarizepaper.com/en/paper/1708.04586v1/

## Key points

- The paper is titled "Optimizing Google Shopping Campaigns Structures With Query-Level Matching"
- The authors discuss the process of bidding on a Google shopping account with query-level matching
- They provide insights into how to structure shopping campaigns and optimize them for better performance
- Using query-level matching is important to target specific keywords and phrases for higher click-through rates and conversions
- Negative keywords should be used to exclude irrelevant searches from triggering ads
- The paper offers guidance on leveraging query-level matching for improved targeting accuracy and using negative keywords for more efficient ad delivery.

## Summary

In their paper titled "Optimizing Google Shopping Campaigns Structures With Query-Level Matching," Mathieu Raffinot and Romain Rivière discuss the process of bidding on a Google shopping account with query-level matching, similar to that of Google Adwords. The authors provide insights into how to structure shopping campaigns and optimize them for better performance. They emphasize the importance of using query-level matching to target specific keywords and phrases in order to achieve higher click-through rates and conversions. The paper also highlights the benefits of using negative keywords to exclude irrelevant searches from triggering ads. Overall, this paper provides valuable information for advertisers looking to improve their Google shopping campaigns through effective bidding strategies and campaign structuring. It offers guidance on how to leverage query-level matching for improved targeting accuracy as well as how to use negative keywords for more efficient ad delivery.