Merchandising strategies and visibilityA Data Analyst's Blueprint to Commerce Studio
Effective merchandising strategies are essential for aligning search results with business goals and enhancing product visibility. This article focuses on how Data Analysts can use Commerce Studio to implement targeted strategies that boost key products and optimize their placement in search results.
Key techniques include pinning products to align with marketing campaigns, creating curated product sets for specific audiences, and boosting visibility for seasonal or promotional items. Data Analysts can also prioritize products in search results based on inventory levels, keywords, or campaign goals, ensuring that the most relevant items are prominently featured.
This article also explores methods for optimizing the visibility of new product launches, leveraging digital campaigns, and testing different merchandising strategies to determine what drives engagement and conversions. By mastering these practices, Data Analysts can craft search experiences that are both strategic and impactful.
Prioritize products based on keyword
If you notice that certain search terms are associated with higher conversion rates, you can create rules that link those keywords to items you’d like to prioritize.
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Create a ranking rule in the rules wizard.
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In the Name field, enter a unique name for the rule. In the Precedence field, enter a number or use the default value,
1
. Click Next. -
Click Select Condition, and then select the checkbox for Query. Select the Query Matching Method you’d like to use, and then enter your Search Terms. For example, select phrase, and then enter
best running shoes
andbest selling
. Click Next. -
From the Add Actions list, select Boost Items.
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In the Field Name field, enter a different field or use the default,
id
. -
In the Field Values box, enter field values to boost. For example,
item_1234
. Press Enter to add multiple Field Values.
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Click Next, and then click Publish.
Next steps
To fine-tune your merchandising efforts, it’s important to understand how users interact with search and browse features. Analyzing search behavior provides critical insights into what your users are looking for and how they engage with results. The next article discusses ways to evaluate search behavior and interpret results to uncover patterns. These insights can guide future optimizations and enhance the user experience.