This article is part of a group of articles explaining Automation rules for Amazon ads in Channable. In this article, we explain what automation rules are and here you can read how you can set up automation rules.
Here, we'll explore the various automation rules available for Amazon ads and how to apply them to optimize your campaigns effectively.
Supported rule types
The table below outlines the various types of automation rules available in Channable for Amazon ads. A couple of things that are good to know are:
- The rule type determines the type of rule.
- Actions are what the rule type is capable of performing.
For example, the rule type "Keyword search term" can use the actions: "Add as positive" and "Add as negative" to create new keyword targets.
| Rule type | Actions | Description |
|
Keyword search term |
|
Allows the user to create new Keyword targets based on the performance of text-based search terms. |
|
Keyword targeting |
|
Allows the user to manage existing Keyword targets based on their performance. |
|
Keyword bidding |
|
Allows the user to manage the bid of their existing Keyword targets based on their performance. |
|
ASIN search term |
|
Allows the user to create new Product (ASIN) targets based on the performance of text-based search terms. |
|
ASIN targeting |
|
Allows the user to manage existing Product (ASIN) targets based on their performance. |
|
ASIN bidding |
|
Allows the user to manage the bid of their existing Product (ASIN) targets based on their performance. |
Targeting rules
Targeting rules make use of Targeting data. This is data that Amazon collects and accumulates based on each existing target for a given account.
Based on the performance data, we can manage targets, allowing you to Pause non-performing targets, “move” targets between campaigns (Add the target as negative in the source and as positive in the target), or convert the target into a negative target.
When moving targets, the user can select the “Match type” of the new target we will create in the target Campaign generator.
We make a distinction between text-based targets (Keywords) and product-based targets (Product target). This means that a different rule group will need to be created.
Search term rules
Search term rules make use of Search term data. This is data that Amazon collects and accumulates based on a specific search term (what a user looks for, be it a Product/ASIN or text).
Based on the performance of the search term, Channable is able to add targets from one Campaign generator to another (or to the same one).
The targets can be added either as Positive targets (Keyword/Product target) or Negative targets (Negative Keyword / Negative product target).
When specifying the automation rule, you can choose the “Match type” of the new target we will create in the target Campaign generator.
We make a distinction between text-based targets (Keywords) and product-based targets (Product target). This means that a different rule group will need to be created.
Therefore, if the target looks like an ASIN, we will consider it one. We use the following conditions:
- It’s 10 characters long
- It is alphanumeric (only letters and numbers, no special characters)
- It starts with a b
- Contains at least one number
Bidding rules
Bid adjustments are one of the most important ways to optimize the performance of your campaigns. Using the bidding rules, you can easily update your bids based on performance data.
Bidding rules make use of Targeting data. This is data that Amazon collects and accumulates based on each existing target for a given account.
Based on this data we can execute changes on the existing bid (Increase or Decrease). Channable performs this once per every data refresh. This means that until we get new performance data with the new bid, we will not create new automation actions.
We make a distinction between text-based targets (Keywords) and product-based targets (Product target). This means that a different rule group will need to be created.