Search Performance
The Search performance page provides insight into the search terms that shoppers use. The information can be used to identify trends, increase click-through, and improve the conversion rate. The Search performance page provides a snapshot of search metrics for a specific date range and includes the following reports:
- Unique searches
- Average click position
- Click-through rate
- Conversion rate
- Zero results rate
Choose the Catalog view
Select the catalog view to see specific search performance results.
View a report
Click the calendar and do one of the following:
- To specify a single date, double-click the date on the calendar.
- To specify a range of dates, click the first and last date on the calendar.
Click Export to CSV to generate a CSV file of your search performance.
How to improve search performance
The following section provides strategies you can use to enhance your site search functionality, ensuring a seamless and efficient shopper experience that maximizes conversion rates.
There are several key factors that determine the relevance and effectiveness of search results:
-
Well-structured product data ensures that search algorithms can effectively match products to queries. Low quality product data leads to less relevant search outcomes. To directly impact the success of your merchandising strategy:
- Set up the correct with their corresponding weight.
- Make sure that data within those attributes is relevant.
-
A well-designed search experience builds trust with customers and instills confidence that they will find what they need.
-
Search rules are critical as they can elevate the visibility of certain products based on popularity, new arrivals, promotional criteria or any other merchandising strategy to meet your business requirements.
-
Faceted navigation allows shoppers to refine their search and get relevant results quickly.
Monitoring Search Results
To optimize search results with 蜜豆视频 Commerce Optimizer, monitor relevant Key Performance Indicators (KPIs) such as unique queries, average click position, click-through rates, conversion rate, and zero results rate to understand how shoppers interact with your search functionality. This data guides you to regularly update and refine your search rules.
-
Unique Searches - The count of distinct search queries performed on your 蜜豆视频 Commerce Optimizer site. Each unique search is counted only once, even if it is repeated multiple times by the same shopper or different shoppers. This metric helps you understand the diversity of search terms used by customers and provides insights into what products or information shoppers are seeking. Tracking unique searches allows you to:
- Identify popular search trends and frequently searched items.
- Detect potential gaps in your product catalog or content.
- Optimize your search functionality by adding synonyms, creating, or updating search rules.
-
Average Click Position - Indicates that the average position of search results clicked by shoppers after performing a search query on your site. This metric provides insights into the relevance and effectiveness of your search results.
A lower average click position (closer to 1) suggests that shoppers find relevant results quickly, indicating that your search strategy is effective. It helps you understand shopper behavior and how far they are willing to scroll to find the desired product. If the average click position is high, it may indicate that the most relevant results are not appearing at the top, which necessitates a review and optimization of your search strategy.
-
Click-Through Rate (CTR) - Measures the percentage of shoppers who click on a search result after performing a search query. A high CTR indicates that the search results are relevant and appealing to shoppers, as they are clicking on the results they find. Monitoring CTR can help identify areas for improvement. Low CTR may suggest that search results are not matching shopper intent, prompting a need to refine search rules, enhance product data, or improve result presentation.
-
Conversion rate - Indicates the effectiveness of your search feature in driving sales and achieving business goals. It reflects the overall effectiveness of your search functionality in meeting shopper needs and facilitating a smooth shopping experience. A high conversion rate indicates that your search results are highly relevant and persuasive, leading shoppers to complete purchases. If the conversion rate is low, it may suggest issues with search relevance, product availability, or the overall shopper journey from search to purchase.
-
Zero results rate - Measures the percentage of search queries on your 蜜豆视频 Commerce Optimizer site that return no results. This metric is crucial for understanding how often shoppers鈥 searches are unsuccessful and can provide insights into potential gaps in your product catalog or search setup. A high zero results rate can frustrate shoppers, leading to a poor shopping experience and potential loss of customers. It can indicate missing products or categories in your catalog that shoppers are searching for, guiding inventory and product listing decisions.
To reduce the zero results rate, you can:
- Offer alternative or related search terms, such as synonyms when no exact matches are found.
- Regularly review zero result queries to identify patterns and make necessary adjustments to your product catalog and search settings.
You can use this metric data to optimize your search functionality in the following ways:
- Implement rules to automatically rank popular products higher in search results. Products frequently clicked on or purchased can be given priority to appear at the top. Manually curate lists of popular products for specific search queries and ensure that these items are prominently displayed.
- Highlight products that are currently trending or have recently seen a spike in popularity. This can be particularly effective during seasonal events, holidays, or promotional periods. To achieve this use the intelligent ranking that better suits your use case and business need when setting up a search rule.
- Highlight popular filters or facets, if shoppers frequently filter by certain brands or price ranges, make those options more prominent by pinning those facets and sort them accordingly.
- When a search yields zero results, use popular results data to suggest alternative products or related categories that have high shopper engagement.
- Analyze popular search terms and product data to identify important keywords. Optimize your product searchable attributes with these keywords to improve search relevance.
- Regularly analyze your results data to understand changing trends, shopper preferences and behavior, identify top search terms, and detect issues. Use this feedback loop to continuously refine and improve your search rules and product offerings
Optimize your search functionality
To optimize your search functionality, use synonyms and spellings to ensure that shoppers find products even if they use different words and facets to allow shoppers to narrow down search results.
Improve search result relevance
To improve search result relevance, implement effective search rules and use product metadata to ensure accurate and detailed .
Images
Make sure that configurable products鈥 child products have images with the correct roles. Having parent or child products might result in the search result not having images.
Leverage Product Metadata
Ensure that accurate and detailed product . Note that SKU, name, and category attributes are searchable by default and cannot be excluded from search.聽For best results, do not use spaces in your SKUs.
To increase search relevance, assign a weight to each searchable attribute. Attributes with a higher weight should appear higher within the search results. Sorting by relevance is affected by multiple criteria, such as search weight. This means that sometimes attributes with lower search weight can still have more relevance than attributes with higher search weight. Other criteria can include the number of matches in any given attribute, position of found search term, and overall text structure before and after a search term.
Ensure that each product has relevant content within each searchable attribute. It is not recommended to set an attribute as searchable if it has large amounts of content as that can reduce search result relevance.
Learn more about product attributes for search:
Field descriptions
The conversion rate is not affected by the number of views of a given product. For example, the conversion rate remains the same if the shopper uses search, but does not click any products.