Google Ads

Drive better results for your business with machine learning: Part III



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Harmoney, a peer-to-peer lending service in New Zealand, teamed up with its agency, First Digital, to find more, qualified applicants while still hitting an aggressive ROAS goal. They used Target ROAS across their non-brand Search campaigns to reach customers who were most likely to apply and be approved for a personal loan. As a result, Harmoney saw a 219% growth in high-value accounts at a 37% lower cost-per-acquisition (CPA). Importantly, Smart Bidding freed up 5 hours per week for the team to focus on high-value tasks like testing ad copy and learning more about their best customers.

FirstPoint is a Swiss-based digital agency that wanted to maximize its client’s Search budget while driving more conversions. After testing Smart Bidding, the agency moved away from manual bidding in favor of Maximize conversions. It increased conversions by 2.4x, increased conversion rates by 12%, and decreased CPA by 59%.


Put machine learning to the test

Moving to Smart Bidding and enabling machine learning to do the heavy lifting for you doesn’t have to happen overnight. Set up a campaign draft and experiment to run a 50/50 split test and see how your old bidding strategy stacks up against one powered by Google’s machine learning. With a little time, you may find yourself delivering better results. For our own media team at Google, Smart Bidding is now a best practice and is enabled across 98% of eligible campaigns.

Check out our updated Smart Bidding guide for best practices on picking the right bid strategy for your business goals.

1. Econsultancy and Google, Marketing and Measurement Survey, 2017