How did industry leader and e-commerce frontrunner Rosetta Stone use cutting-edge data science and machine learning to lift revenue +40% and conversions +50%, while cutting CPA in half? Read on and get the full PPC details in our Rosetta Stone customer success story.
Industry leader Rosetta Stone is a household name, sharing its unique computer-aided learning products with more than 150 countries. The company’s products include its popular software bundles and CD-ROM products, which it sells directly online and also distributes through numerous comparison shopping engines (CSEs) as well as through major brick-and-mortar retail outlets.
Yet this industry leader saw room for improvement in its digital advertising campaigns and looked for a new solution. What it found was a predictive advertising management platform whose highly granular, data science-based approach and intelligent, machine learning-powered automation offered powerful performance improvements. In just 8 weeks, the company found huge efficiency gains, thanks to data science-based algorithms that helped drastically reduce CPCs for each of its individual keywords/SKUs while actually driving more conversions. The net results were all double-digit performance improvements:
- Revenue: lifted +42%
- Conversion: lifted +50%
- Margin: lifted +50%
- Overall CPA: reduced 50%
How can you use the power of data science and machine learning to massively lift your SEM and Google Shopping programs? Please check out the Rosetta Stone customer success story for details.
About the Author
Andrew Park is a content marketing manager at QuanticMind. A UC Berkeley graduate and lifelong Bay Area resident, Andrew has done tours of duty in editorial, PR and marketing, and now works with the QuanticMind team to communicate the importance of data science and machine learning in digital advertising.More Content by Andrew Park