The features and advantages of vector search technology, where results are not just based on keywords, but on the essence of the products themselves.
Leverage the next generation of search technology including vector search and GPT technology.
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Only Prefixbox offers north star search relevancy metrics that show how users interact with search results. With these insights, you can improve result relevancy and increase conversion rate.
Search relevancy optimization is only possible if you collect user behavior data. Most data analysts rely on traditional metrics like CTR and Zero Result Search Rate (ZRR) to measure search engine performance. However, these are vanity metrics that are easy to manipulate.
Relevant search results are the key to increasing Ecommerce conversion rate. Prefixbox is the only commerce search provider that measures search result relevancy with true north star metrics like Search Success Rate (SSR) and Time To Success (TTS).
What you can’t measure, you can’t optimize. We provide more than 100 search metrics across your store to help you understand how shoppers interact with search results. By offering the richest Ecommerce Search Analytics on the market, Prefixbox makes it easy to make data-backed decisions and improve the search experience.
More successful search sessions result in increased conversion rate.
When people find what they’re looking for, they spend more money and purchase more frequently.
North Star Analytics
Increase the number of search sessions where users find what they’re looking for.
Shorten the time users spend between starting a search and finding the right product.
Prefixbox tracks Ecommerce Search Analytics that help you understand your shoppers’ purchase intent and evaluate search result quality.
Our Ecommerce Search Analytics give retailers insight into how shoppers interact and engage with all search modules and focus on increasing engagement and conversion.
We are the only search provider to measure north star search relevancy analytics that depict how shoppers are interacting with results. These cutting-edge metrics offer crucial information retailers need to improve their search.
The percentage of product search sessions where users engaged with at least one product. This metric includes products in Autocomplete, Search Engine and Related Products.
The median number of seconds between the first interaction with the search function and a shopper’s first click on the Search Engine Results Page (product clicks and cart events included).
The percentage of product search sessions where users engaged with at least one result.
The median number of seconds between the first interaction with the search function and a shopper’s first click.
We measure how users interact with the search box and Autocomplete suggestions. Separate Autocomplete boxes are set up for mobile and desktop views so you can see the performance of each separately. Analytics are only available for Prefixbox Autocomplete boxes; learn more about key Autocomplete analytics below.
The percentage of search users that select a suggestion (e.g., keyword, product, category) when using Autocomplete. Available suggestion types are based on the Autocomplete configuration (customized for every online store).
Indicates how often suggestions are shown to users as they execute their search query. A high coverage rate shows that the Autocomplete offers suggestions even for long and complex queries.
The percentage of visitors who use the Autocomplete search box (focusing into the search box or typing a query count are both included).
The number of unique search counts during a session. Repeated search queries during a visit are counted only once. In this example the unique search count is 3.
The time (in seconds) users spend formulating their queries. The timer starts when the user focuses in the search box and ends when the user executes the query or clicks on a suggestion. Abandoned interactions are excluded.
Shows the distribution of different suggestion types, such as keywords, products, or categories. When a visitor does not select any suggestion, it’s logged as “not selected”.
The positional usage distribution of Autocomplete suggestions. It shows the percentage of clicks on the 1st, 2nd, etc. positions (both keywords and products). This helps identify if the most relevant results are shown first.
Shows the cart events that occurred while users engaged with the Autocomplete.
These analytics can be implemented for Prefixbox's AI Search Engine or your existing search result page (if you are using a different search solution).
The Popular Searches table offers detailed insights for every search query on your site, including how frequently they were searched, clicked, and purchased to help you understand search trends.
Analyze search terms that lead to zero result search pages. This metric is powerful because it shows where users got stuck with their searches. If the ‘Last Found Date’ appears as ‘N/A’ that means that the specific query did not return a result in the selected period.
A tabular visualization of the most popular products. It includes detailed insights such as: page views, clicks, cart events, and revenue. This metric helps you understand individual product performance.
This metric gives insight into the Ecommerce funnel and highlights the differences between search users and other shoppers. Analyze cart event count from search, transaction count from search, search revenue rate, and more to see how search impacts your store.
This metric shows how many users engaged with attribute filters on a Search Engine Results Page. Selecting multiple filters at the same time will only count as once in the overall usage.
This metric shows the usage of different attribute filters on the Search Engine Results Page.
This metric shows how users interact with the Search Engine's paging function. The trend is that most users only visit the first page.
We measure how users interact with Related Searches suggestions and offer separate analytics for the different placements on your site (top of SERP, bottom of SERP, zero result search pages).
This metric tracks the number of times users clicked on Related Search suggestions.
See how often Related Searches were shown to users on the search engine results page.
See all search queries that had Related Keyword suggestions. Also get a detailed view for a specific search query to see the position, click count, popularity for each suggestion.
Analytics for specific campaigns help retailers see the effectiveness of their merchandizing efforts (reports are provided via Google Data Studio).
Track and review banner impression and click count. Measure different banners and banner placements separately.
Track impressions, clicks, and cart events for all promoted products. Promoted products are controlled by Merchandizing rules, and are placed on top of the Search Engine Results Page.
Track impressions, clicks, and cart events for product ads. These ads are controlled by Merchandizing rules, and are placed above or below the results on the Search Engine Results Page.
This summary shows campaign statistics on keyword level. You can track Banner Click and Impressions, Promoted Product Clicks and Impressions, and Product Ads Clicks and Impressions. These metrics help summarize Merchandizing campaign performance.
Discover the number of shoppers who have seen a campaign and on which search pages the campaign was triggered. This campaign summary provides overall insight about how different Merchandizing tools (Promotions, Ads, Banners) have performed.
Search Analytics are part of Prefixbox Insights; explore our in-depth insights and experimentation platform to see how you can improve the search experience and move your KPIs.