National Online Coffee Retailer
Decides to Get SMART
Leveraging Google's Ecommerce Tools
Case Study
The Challenges
Like many businesses, this national online retailer wanted Adtaxi to grow its sales with a minimal budget increase. The retailer has success with search advertising, display advertising, and retargeting, so being able to test new platforms and improve quickly was paramount.
The Solutions
To provide a more customized and sophisticated online experience, Google’s Smart Shopping campaign was utilized. By leveraging machine learning to test images and text combinations from the product feed, the campaign was continually optimized for optimal performance across networks. The use of the most relevant combinations increased sales while lowering cost-per-click.
Key Insights
The combination of dynamic product listings and display ads leveraged by Google’s machine learning resulted in significant performance improvements. The ongoing optimization drove higher qualified leads, maximizing conversion value within a limited budget. The strategy proved effective across metrics, exceeding the client’s expectations.
The Results
59% increase in click-through rate
38% increase in sales
17% decrease in cost per conversion
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