Case Study
Key mobile phone player achieves more revenue and sales with value based bidding
A key player in the mobile phone market had ambition to improve incremental revenue without sacrificing sales volumes.
Targets were established and a split test was designed to split traffic 50/50 between the control and test variant campaigns. The test was designed to prove whether ROAS bid strategy with enhanced machine learning capabilities can outperform CPA.
The Target ROAS campaign delivered 19% more traffic to site, 15% more sales whilst revenue increased by 47% compared to the control campaign. CPA also reduced by 17% as a result of the stronger sales. Following the success of the test, we worked with the client to improve revenue tracking capabilities and constructed a roll out plan using a measured approach.
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