Our goal was to grow revenue significantly while maintaining a similar Return on Advertising
Spend. Starting with Google Shopping ads, we used a unique approach to optimizing product
feeds, leveraging Google’s Smart Shopping algorithm to find ideal customers for each product
price range, which helped to double their revenue within the first 4 weeks.
Secondly, we optimized Paid Search ads by restructuring campaigns, keywords and ad copy to
achieve a higher quality score and a lower CPC, all while scaling up better performing
campaigns and removing campaigns that were wasting their budget.
After this initial optimization, we deployed our proprietary Playmaker AI-based solution to work
on Paid Search. The software uses Machine Learning to predict optimal budget allocation and
bidding to increase revenue at high Return on Ad Spend.
Leveraging AI algorithms to go through thousands of keywords and hundreds of campaigns is
far more efficient than doing this manually, and limits inevitable human errors. Playmaker AI
helped achieve the ultimate goal of increasing revenue with optimal use of budget.
