The project was to increase sales of men‘s clothing. The goal was to expand and simplify its Facebook advertising campaigns to increase the sales of its men's clothing.
We decided to try Advantage+ shopping campaigns. As they use machine learning to fully automate campaigns.
The client had previously set up its advertising campaigns for men's clothing manually. However, this led to fragmented campaigns and did not allow the team to scale their campaigns efficiently. That's why the team wanted to test whether an Advantage+ shopping campaign can improve performance.
The campaign ran from 15. March to the 4th April and achieved the following results according to an A/B test in the Ads Manager:
- 53% higher return on ad spend with Advantage+ shopping campaigns compared to traditional campaigns
- 42% lower cost per purchase with Advantage+ shopping campaigns compared to traditional campaigns
- 58% more reach with Advantage+ shopping campaigns compared to traditional campaigns
“Automation is changing marketing. It not only helps us achieve better results and added value for our customers, but also gives us the opportunity to invest more time in our strategic work. We pursue a “test and learn” strategy: sometimes a new approach works immediately – and if not, we learn from it. Advantage+ shopping campaigns have exceeded our expectations. We are looking forward to the next steps.”