Product Selector

Fusion 5.9
    Fusion 5.9

    Search behavior and resultsA Data Analyst's Blueprint to Commerce Studio

    Understanding and optimizing search behavior is a vital aspect of creating a responsive and effective Commerce Studio environment. This article focuses on how Data Analysts can analyze and refine search interactions to improve customer experiences and drive business outcomes.

    Data Analysts can simulate customer search behavior to identify potential gaps or opportunities in search results, analyze patterns to refine existing rules, and assess the impact of ranking factors on result relevance. Additionally, this article covers techniques for reacting to real-time search trends, ensuring the system stays responsive to evolving customer needs.

    Advanced features such as automatically adjusting facets based on customer behavior are also explored. These adjustments help tailor the search experience dynamically, ensuring customers are presented with the most relevant filtering options based on their interactions. By leveraging these tools, Data Analysts can refine search functionality to align with both customer intent and business objectives.

    Discover the effect of ranking factors

    As you create rules and rewrites in Commerce Studio, you should review how they affect your products' positions in the search results.

    1. In the Visual Editor, navigate to an item to review its metrics and ranking factors.

    2. In the item card, review metrics such as ATC, RPV, and CVR. If you don’t see these metrics, configure Inline Analytics in Item Card Settings.

    3. Click on the product to view more details.

    4. Review Ranking Factors and Applied Rules to see how these affected the position of the product.

    5. Adjust rules or ranking factors as necessary to optimize search results.

    6. Publish the rules and monitor changes.

    Automatically adjust facets based on customer behavior

    You can create rules that customize which facets appear in the search results. For example, if a user searches for childrens movies, you can enable the facet for movie rating, so users can further refine their results.

    1. Create a ranking rule in the rules wizard.

    Add or edit a rule

    1. 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.

    2. 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 childrens movies. Click Next.

    3. From the Add Actions list, select Set Facets. Click Add Facets. In the Facet Field, enter a field to use as a facet. For example, product_brand_s.

    4. Click Next, and then click Publish.

    Next steps

    Even with customization in place, some search scenarios may yield poor results or fail to meet user expectations. Identifying and addressing these issues is essential to maintain a high-quality search experience. The next article outlines practical methods for diagnosing and resolving search-related challenges. These steps will help you ensure that search consistently delivers value to your users.