Features
Recipes in Merch Jar serve as a powerful automation tool that empowers Amazon sellers to streamline their advertising strategies. This feature enables the creation of customizable rules that automate specific actions based on data-driven insights. By leveraging Recipes, you can efficiently manage your campaigns, ad groups, keywords, and more with automated precision, aligning your advertising efforts with your business goals.
The Recipes List is the central dashboard where you can see all your created Recipes at a glance. Here you can create new Recipes, see when a Recipe was last run, when a Recipe’s conditions were met and a change was made, import and export Recipes, and manually run Recipes.
Navigate to the Recipes Hub in the sidebar Navigation and clicking the Recipes link under Automations, or visit the Recipes Hub page
The Recipe Editor is where you will configure your Recipe.
The Recipes feature is built upon three core components: the Data Source selection, the Composer for crafting rules, and the Actions & Schedule for automating tasks.
The Data Source is the first selection you make for your Recipe. This selection determines the type of data you will be analyzing. Examples of data sources include Campaign data, Ad Group data, Keyword data, and so on. Choosing the appropriate data source is critical, as it defines the metrics available for the queries, and the actions that can be performed on that data.
The Composer is where you construct queries to analyze your data. You create these queries by combining Metrics, Operators, and Values to create Conditions, which are then grouped within time frames to form Rules. The queries you build here filter your data source based on the conditions and rules you define.
Actions are the tasks that get executed when your Conditions are met. These can range from adjusting bids to pausing campaigns. The Actions in a Recipe are what bring your strategy to life, making real-time adjustments to optimize your advertising performance.
The Schedule dictates the frequency of these actions — whether they happen at each data sync, daily, weekly, or at any custom intervals. This ensures that your campaigns are not only automated but also operate on an efficient and effective timeline.
Once you've defined your query in the Composer, the Data Snapshot displays the filtered data based on your query. This interactive table allows you to visually navigate through your data. It provides options for sorting and further filtering, which helps you to dive deeper into your data analysis.
