3 min read

Visualize the search journey with Origins

Origins is the Empathy Platform Playboard data visualization tool to determine the usefulness of the different search features. These features help shoppers find what they are looking for in your commerce search. It indicates whether customers express their query by typing it with their own words in the search box or using the advanced search features available in your commerce store.

You access Origins through the Insights landing page in the Playboard.

Try Origins to...

  • Discover your shoppers’ search path.
  • Respond to your shoppers’ journey and assist them in their search.
  • Have a more specific view of your commerce search patterns over time.
  • Identify opportunities to meet your shoppers’ search needs.

Getting started with Origins

The Origins data visualization tool displays the search queries performed over a specific period categorized into three types of queries—organic, predictive, and refinement—based on the search features involved in improving your shoppers’ search experience. Scroll down to get a short description of each of the three types of search queries and discover the tree in motion at the bottom. The tree branches graphically represent your shoppers’ search journey in your commerce store.

Origins main screen

Origins data visualization - (A) Header, (B) Summary, and (C) Tree graph.

The data visualization has three main sections:

The header (A) includes the date selector and the data filters, if applicable.

With the date selector, you can narrow the period when the searches were made. There are four options:

  • Today: queries performed over the current day.
  • Week: queries performed over the last 7 days.
  • Month: queries performed over the last 30 days.
  • Month: queries performed over a selected date range.

If your instance includes filters (such as store, language, or device), you can set a specific scenario to display the query data. For example, apply filters to visualize the queries made in the commerce store across different locations and languages to detect disparities in searches per region.


The summary (B) gives an overview of the queries and divides them into three categories with extra information and color coding:

  • Organic (gray): the shopper types a query in the search box without any kind of search suggestions or they interact directly with a URL in their browser. A default query example is when the shopper types the query “milk”.
  • Predictive (blue): the shopper doesn’t type any query, but selects a search suggestion instead. A predictive query example is when the shopper chooses “gingerbread” from the trend terms suggested. Within the predictive searches, the following are included: popular searches, history queries, next queries, recommendations, partial results, ID results, etc.
  • Refinement (yellow): the shopper types a query in the search box and then, the search is refined thanks to the suggestions offered. A refinement query example is when the shopper types “milk” and later they select “almond” among the suggested related tags to improve the results given. The searches included within the refinement category are: related tags, query suggestions, spell-checked suggestions, etc.


Check out Search and discovery features to learn more about predictive and refinement search features.

Tree graph

The tree graph (C) is the visual representation of the total number of queries for the period selected divided into three main categories: Organic (gray), Predictive (blue), and Refinement (yellow).

Organic category is placed in the middle. Predictive and refinement categories are split into several branches, on the left and right, respectively. These branches represent the features implemented in the commerce store (for example, related tags, query suggestions, or history queries, among others). The position, thickness, and lightness of the branches adjust accordingly to the performance of each type of query. The thicker, lighter, and more on the top are the lines, the more popular the type of query they represent.

At the tip of each branch, additional information is provided. Hover your cursor over the number of queries to see the percentage that this group represents from the total. Hover your cursor over the tool name to see the category they belong to.