Our team has dropped the hottest features and updates!
The latest update enables;
- Adding and removing campaigns in an Optimizer
- Applying recommendations with one click for TikTok campaigns
- New Recommendations metrics, providing more insights for your analyses
Let’s dive into them, shall we?
Adding and removing campaigns in an Optimizer
We built the UAhero platform to help you complete tasks in the most effective way. The Optimizer is one of our features that simplifies the campaign management processes and lets you optimize the cumulative ad spend. Previously, you could only put your campaigns in an Optimizer while creating your Optimizer. Then, the UAhero platform would provide recommendations according to your Optimizer goal. However, to change the Optimizer of the campaign, you would create a new Optimizer.
With the latest update, we made editing Optimizers possible. So if you need to add another campaign to the Optimizer or remove them, you can navigate to "Optimizer" and find the related Optimizer from your list. After clicking on the button on the right-hand side, a pop-up will appear.
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In the pop-up, you can find the names of the campaigns in the Optimizer. By hovering over the terms and clicking on the “Change” button, you‘ll be able to add or remove campaigns.
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This will help shorten the campaign management process even more, and you won’t have to create a new Optimizer to remove a campaign from an existing one.
Applying recommendations with one click for TikTok campaigns
TikTok is one of the fastest growing advertising platform, and the UAhero platform has been integrated with TikTok since the early days of the product. You could quickly check your TikTok campaigns’ performance and get AI-powered recommendations. From now on, you don’t ever have to leave the platform to optimize the CPIs of your TikTok campaigns! Enjoy the one-click bid&budget recommendation application, or to streamline your processes further, you can turn the auto-apply toggle on and leave the rest to UAhero.
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New Recommendations metrics, providing more insights for your analyses
The purpose of metrics in the Recommendation details page is to give you more insight into the performance of the campaigns to make a better judgment before applying any decisions. We have additional ad group-level metrics on the table and the Predicted ROAS Dx metric is added to the campaign-level metrics.
* The X represents the number of days selected for the target window.
Ad group-level metrics
All the new metrics in the table can be selected for any ad network if your chosen optimization mode allows it.
The newest metrics you can check for the Target ROAS optimization mode on the Recommendations details page are;
- ARPU D1
- ARPU D30
- Retention D30
- ROAS D1
- ROAS D30
If you ever wonder about the meaning of any metric while you’re on the Recommendation details page, you can hover over the metric to see the definition.
Campaign-level metrics
The campaign-level metrics are the ones you see next to the Optimizer name and goals. These metrics help you quickly see your campaigns’ overall performance. The available metrics were Last 7 Day Spend, Last 7 Day ROAS D0, and ROAS Dx. To give you a prediction on the ROAS of the campaign, we added Predicted ROAS Dx to the campaign-level metrics.
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