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Google Ads for eCommerce Stores - with Sandeep Kumar

eCommerce Marketing Podcast · with Sandeep Kumar · January 17, 2022 · 27 min

Summary

This episode cuts through the noise to deliver actionable strategies for optimizing Google Ads for e-commerce. Learn how to leverage proper campaign structuring, audience targeting, and keyword research to drive profitable growth and avoid common pitfalls that drain ad spend.

Key takeaways

Themes

paid acquisitionanalytics & attribution

Topics covered

google ads optimizationkeyword researchcampaign structuringnegative keywordsaudience segmentationad copy optimizationgoogle analytics for ecommerce

Episode description

Marketing Strategies and Topics Covered in this Episode: The different types of Google Ads that are available for ecommerce stores? How a brand determines which type of ad is best for their brand The rule of thumb when it comes to coming up with a cost per click amount and budget Examples of businesses that have been successful with Google Ads and what specifically have they done

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Frequently asked about this episode

What does this episode say about paid acquisition?
Implement a granular campaign structure in Google Ads (e.g., separating branded, generic, and competitor keywords) to gain better control over bidding, budgeting, and performance analysis.
What does this episode say about analytics & attribution?
Prioritize in-depth keyword research, focusing on long-tail keywords and understanding search intent to capture highly qualified traffic at a lower cost.
What does this episode say about paid acquisition?
Utilize Google Analytics to identify high-performing search terms and refine your negative keyword list, continuously optimizing ad spend by eliminating irrelevant clicks.
What does this episode say about paid acquisition?
Regularly review and adjust your ad copy to ensure it directly addresses user intent for specific keywords, improving click-through rates and conversion potential.
What does this episode say about paid acquisition?
Segment audiences based on behavior and demographics, then create tailored ad groups and messaging to increase relevance and improve ROAS.

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