Improve Results with Analytics
Gathering user activity data can change the content and order of your results. The effect is not direct, like sorting or merchandising. It’s behind-the-scenes. By understanding and analyzing user behavior, you make smart adjustments to your relevance and ranking. This not only improves your search solution but your business as well.
Analytics data informs decisions you make regarding:
- how you format and structure your data
- what configurations you make to your index and search
- how you calibrate these settings
- many front-end choices, like faceting, layout, and other UI/UX concerns
- whether and how to implement personalization, query suggestions, query rules, merchandising, and other such result-oriented features
In a word, it covers just about everything from A to Z in your solution. All of the above impact more or less directly what the user sees after entering in a search. Capturing Analytic data in a meaningful and timely manner, and in an easy to read format, is critical to the success of our Analytics feature.
Two Kinds of Analytics: Search and Click
We provide two different kinds of analytics: one that looks closely at your users’ search behavior (search analytics), and another that measures what they do after a search (click analytics).
Search Analytics facilitates modeling by breaking down user searches into numerous categories of data, like popular searches, number of “no results”, and filter usage. The goal of search analytics is to ensure that your search experience is data-driven.
Click Analytics takes that data further, providing insight into what significant actions a user takes after performing a search: you can analyze click rates as well as define a single significant event - a conversion point - to see which searches lead most often to that event. Any catchable web event can be chosen as a conversion point: you choose the one you wish to track, and we start building a dataset around that event.