Project Description
Aesthetic surgery faces strong competition in a highly competitive market. With the help of machine learning, the company has expanded automation and improved attribution. The result: the general search network campaigns brought in more patients.
The goals
- Encourage more customers to book direct via the company’s website
- More sophisticated digital marketing
- For general search campaigns, improve competitiveness in auctions to get more bookings
The approach
- Cross-channel and cross-device attribution with the beta version of Google Attribution
- Analysis of the assigned real value of general campaigns
- Automatic bid settings based on target ROAS to respond to data in real time
The results
- Revenue generated by general search campaigns increased 45%.
- Return on Advertising Spend (ROAS) for general search campaigns improved by 22%.
- Investments in general search campaigns and strong revenue growth increased total revenue from all channels over the period.