You can use Google Analytics to supplement the built-in search analytics in Support, to get additional insights into the effectiveness of search in your help center.
The article covers the following topics:
- Getting started
- Do my customers use search?
- Do my customers find answers using search?
- Are the answers useful?
- What answers are my customers not finding with search?
This is the second article in a series. The series outlines how to use谷歌分析to answer questions you may have as a Guide admin responsible for providing an effective self-service support option to your customers. The series covers the following topics:
- Part 1 -Asking the right questions
- 第2部分-搜索- Y测量的有效性OU ARE HERE
- Part 3 -跟踪客户的行动s
- Part 4 -Fine-tuning your help center
- Part 5 -Capturing help center user data
Getting started
If you haven't already done so, enable Google Analytics for your help center. SeeEnabling Google Analytics. Once Google Analytics is enabled, turn on site search tracking to start gathering search data.
To enable site search tracking
- In the Google Analytics dashboard, navigate toAdmin>View>View Settings.
- EnableSite Search Tracking.
- Enter
queryas a query parameter.When Google Analytics sees
查询=in a URL in your help center, it captures the parameter's value as a search string. For example, the word "guidelines" in the following help center results page is captured as the search term:https://{subdomain}.zendesk.com/hc/en-us/search?utf8=✓&query=guidelines&commit=Search
Once enabled, search data starts flowing into Google Analytics. It can take a couple hours before the data begins showing up in reports. The rest of this article highlights the metrics to use to measure the effectiveness of search in your help center.
Do my customers use search?
Use these metrics:Sessions with SearchandPercentage of Visits with Site Search
Sessions with SearchandPercentage of Visits with Site Searchmeasure the number and percentage of sessions in which the user searched the help center at least once during the session. Both metrics help you understand how often customers use search instead of navigating the help center using links.
In the Google Analytics dashboard, go toBehavior>Site Search>Overview.
If you want to drive customers to using search as their first course of action, one effective tactic is to display a large, prominent search bar. You can do this with a CSS customization.
Do my customers find answers using search?
Use these metrics:
- Searches by page
- Search refinements
- Search exits by search term
Searches by page
TheTotal Unique Searches By Pagemetric is the number of times people searched your help center by page. This metric is useful if your site design includes a search box on every article as well as on landing pages. You want to make sure that customers are searching from pages that you'd expect, like the help center home page. If they're searching from pages deeper in your help center, it might be a sign that they're not landing on the correct content and need to perform another search.
In the Google Analytics dashboard, go toBehavior>Site Search>Pages.
If you see a high number of searches performed from an article, you may want to review the article to make sure it covers what your customers are searching for.
Search refinements
TheSearch Refinementsmetric is the percentage of searches that resulted in another search using a different search term. Ideally the metric should be trending down. If a customer has to refine their search multiple times, it means they didn't immediately find a relevant article.
In the Google Analytics dashboard, go toBehavior>Site Search>Overview.
Search exits by search term
TheSearch ExitsandPercentage of Search Exitsmetrics are the number and percentage of searches a customer made immediately before leaving your help center. While the overall metric is displayed on the Site Search > Overview page, a more meaningful metric is the percentage of search exits by search term.
In the Google Analytics dashboard, go toBehavior>Site Search>Search Terms. The metric is a column in the report.
You can measure the popularity of search terms by looking at the total number of unique searches. If popular search terms have a high percentage of search exits, the titles or articles returned for that term may not be optimal. You may want to look into making the article titles more descriptive, or improving the content of the articles. In the example above, "email" was the third most popular search term, but it had a high percentage of search exits.
Are the answers useful?
Use this metric:Time after Search
Time after Searchis the average amount of time customers spend on your help center after conducting a search. If a customer spends a lot time on the site after performing a search, they probably found something useful. If they didn't spend a lot of time, they probably didn't find anything useful.
In the Google Analytics dashboard, go toBehavior>Site Search>Search Terms. The metric is a column in the report.
Focus on the search terms with a low time-after-search to optimize your search results and knowledge base content. Possible actions include inserting popular search terms as keywords in relevant articles, or creating more content based on the search term.
What answers are my customers not finding with search?
Use this metric:Refined Keyword
Refined Keywordis the search term used on a subsequent search. It's a powerful metric when trying to understand confusion about your product or service. For example, you can see that a user searches for “reporting on articles”, but then refines the search to “how to use google analytics”. It's why this article was written.
In the Google Analytics dashboard, go toBehavior>Site Search>Search Terms, and then addBehavior>Refined Keywordas a secondary dimension.
0 Comments
Pleasesign into leave a comment.