Transcript - Video - What is a Performance-Group?
Transcript - Video - What is a Performance-Group?
As a first step: What is a Performance Group?
First of all, let me explain the term "Performance Group," which is specific to Adspert. A Performance Group refers to a group of campaigns that are optimized towards a common optimization goal. The idea is to group campaigns with similar goals together within a specific Performance Group. For example, if you have multiple campaigns aiming to maximize conversions or achieve a common ACoS (Advertising Cost of Sale) goal, you should place them in the same Performance Group.
If you are just starting to use our tool, we strongly recommend creating only one Performance Group and assigning all your campaigns to it. Let it run for two or three weeks. Why? Because, like anything or anyone, our AI needs some time to learn about your campaigns—a short learning phase.
How to initiate the learning phase?
Here are three simple steps:
1. Create one Performance Group.
2. Add all your campaigns to this Performance Group.
3. Set the cost per day goal and let it run for two to three weeks.
The learning phase typically takes around two weeks for Amazon and Google Ads, and four weeks for eBay ads. During this time, our AI learns and adapts on its own. As long as you follow these three steps, you don't need to do anything else. Just give it time to learn, similar to training a new employee.
It's important to note that this learning phase setup applies to about 95% of cases. However, there are exceptions to consider. If your case doesn't fall into either of the exceptions I will mention, please feel free to ask your question in the chat, and myself or one of my colleagues will be happy to assist you.
The first exception is when you have connected multiple advertising accounts to Adspert, with some being e-commerce accounts (such as Amazon and eBay) and others being search accounts (such as Google and Microsoft Bing Ads). E-commerce and search campaigns have different goals and costs. In this scenario, I recommend creating two Performance Groups—one for e-commerce-related campaigns and another for search-related campaigns.
The second exception is when you have various marketplaces with specific goals or a fixed budget for two or more different marketplaces. For example, if you have a budget of €500 for Germany and €1000 for the UK, putting campaigns from both marketplaces in the same Performance Group may result in Adspert allocating more budget to one of them. To ensure that you spend €500 for Germany and €1000 for the UK, it is recommended to create two Performance Groups—one for Germany-specific campaigns and another for UK-specific campaigns.
So, what's the bottom line of the learning phase?
By allowing our AI to learn about your account, you will achieve better results in the long run. Our algorithm gains more bidding flexibility, learns faster, and improves its understanding of the factors that enhance the performance of your campaigns. When Adspert works better, it optimizes your ads, leading to increased sales and profits. All of this happens automatically, saving you time and allowing you to focus on your core business and its growth.
If you ever encounter any difficulties while using Adspert, please visit our help center, which contains a wealth of articles and videos explaining different functionalities. Alternatively, you can get in touch with our support team for further assistance.
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To optimize campaigns with Adspert, you need to add them to a so-called Performance Group. On the Goals page, you can create multiple Performance Groups for different campaigns and optimization goals.
Adspert's AI will then optimize all campaigns within a Performance Group towards the group goal you set. This means that campaigns with a similar goal should be grouped in a separate Performance Group. However, a single campaign can only belong to one Performance Group at a time.
Adspert beginners:Please note the algorithm first needs to go through a learning phase to learn about your campaigns.
Why? Think of our AI as your new employee. When you welcome a new team member, you probably give them some time to get their head around of how things work, right? As well as your new employee, our AI needs to learn about your campaigns, analyze the data, and figure out what's working well in your account and what's not. |
How to kick-off a learning phase?
Create one Performance Group per platform (or marketplace).
Add all your campaigns to it
Set the Cost per Day goal.
Let it run for 2-4 weeks (the learning phase takes around 2 weeks for Amazon, Google Ads and Microsoft Advertising (former Bing Ads) and 4 weeks for eBay Ads).
The best part? Our AI learns on its own. As long as you follow those steps, you don’t need to do anything else to let it learn.
After the learning phase, you can then divide your campaigns into several Performance Groups. |
How do I structure my campaigns into Performance Groups after the learning period? What's the best practice?
The optimal division of campaigns into Performance Groups depends on your different factors, such as your current campaign performance, advertising strategy, and your overall business objectives.
An example:
Your advertising account contains multiple campaigns. Some are related to a certain product, others share a common Cost per Day goal and there are a few high-performing campaigns where you want to target a specific ACoS value.
Based on this example, the recommended structure would be to create three Performance Groups with three different optimization goals that correspond to your business objectives. |
How many campaigns can I add to a single Performance Group?
As many as you want. There is no limit.
What happens to manual Amazon campaigns created by Adspert?
They are automatically added to the same Performance Group as their linked auto campaign.