When it comes to optimizing the email marketing channel, we often see that brands rely a little too much on their gut feeling when making strategic or design related decisions. But how do you know for sure what truly will generate the best results?

One of the most efficient and simple tools for improving email marketing performance is A/B testing. The results you get from properly implementing an A/B testing strategy will help you better understand your subscribers’ wants and needs, which in turn will lead to higher conversion rates and more revenue per email sent. And who doesn’t want that?

For online retailers hoping to grab a major share of search clicks and sales, Google Shopping has become increasingly important, and as competition for those valuable clicks becomes ever stronger, knowing how to get the most out of your Google Shopping campaigns is crucial to succeeding in today’s eCommerce world.

This white paper, the first in a series of three, will guide you through detailed optimization of Google Shopping performance, specifically in relation to structuring campaigns and ad groups for optimal impact.

In Part 1 of QuantAds’ white paper series on Google Shopping Optimization, we looked at how to structure Shopping campaigns in relation to campaigns, adgroups and product groups in order to provide a more detailed picture and enable the marketer to make more informed decisions.

In Part 2 we will look firstly at how you can identify product feed optimization opportunities using a data driven approach and secondly, how you can execute them to generate more online traffic to your Google Shopping campaigns.


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