Performance-Based Keyword Targeting in Google Shopping

As search marketers, we know the value of search queries varies drastically from query to query. Metrics such as conversion rate or revenue per click (RPC) help uncover valuable search terms – and expose terms that are wasting ad spend. However, even with this information, it is difficult to optimize Google Shopping campaigns down to the keyword level without a strong, standardized process for evaluating performance.

N-gram analyses offer a performance-based approach to segmenting by query in your account and provide key insights into understanding the value of those queries as they relate to your business. In this whitepaper, we will show you an extremely effective method for query segmentation across product listing ad channels using n-grams and negative keywords.

Learn how Omnitail has perfected the power of keyword targeting!

You'll Learn How To...

  •  Segment queries by query intent, according to the customer decision process
  • Account for discrepancies in performance across queries
  • Implement the results of an n-gram analysis using negative keywords and campaign priority settings

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Read the Whitepaper

N-grams: The Path to Effective
Keyword Targeting in Google Shopping

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Author

Christina is the Marketing Manager at Omnitail. She spent several years doing content, PPC, and email marketing for retail and tech companies before starting as an SEM Analyst at Omnitail. Christina now manages Omnitail's various marketing initiatives and enjoys reading and writing about trends in digital marketing.