Analysis Benefits : When users conduct searches on your site and get zero results, they get frustrated and often times leave. Through this analysis you can: 1) Find out how often this happens 2) See which search phrases cause no results to be returned 3) Work with your content team(s) to add content to the site Analysis Recipe : 1) Work with your developers to set a metric each time visitors reach a search results page that has no results (i.e. Null Search Results) 2) Also have your developers capture the search phrase visitors were using in some sort of dimension variable 3) Once you are collecting data, view the search phrase dimension with the Null Search Results metric and sort in descending order 4) Conduct analysis to determine how often Null Searches occur. This can be done by dividing Null Searches by total searches conducted. If this calculation is low, no additional work may be required, but if it is high, use the dimension report to add content for the most popular items. Potential Analysis Action Items : Vendor Specific Tips and Tricks: ******************************************* For additional information on this general topic, see No-Yield Searches recipe
2 Comments - I've noticed that more and more websites are using autocomplete and multiple filters with their internal search functionality. Have any thoughts to share on those additional use cases?
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Analysis Overview: A great way to understand if your visitors are finding what they need on your website is to analyze onsite (internal) search data. A simple approach to internal search analysis would be to simply count how many searches are taking place on the website
Originating Author: Adam Greco Introduction: In a past recipe related to Average Internal Search Position , it was shown how to calculate the average search position clicked. This recipe demonstrates how to see the KPI influence of each internal search position so you can see how search position impacts things like revenue, orders or leads. Analysis Overview: Internal Search is a popular feature on many websites
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Originating Author: Travis S. Barnes Analysis Overview/ Introduction: AJAX can be used to create responsive sites which load content dynamically without necessarily changing the page URL or page name. As such, assessing content consumption and page views can be tricky on sites utilizing AJAX. Analysis Benefits: A well thought out plan for how to track AJAX can help you better understand how content is consumed on your dynamic site and adjust layouts and intended consumption paths accordingly. Analysis Recipe: Like other related topics (responsive page tracking, % of page viewed), AJAX analysis begins with a well thought out implementation methodology
Originating Author: Robert J Moore Introduction: Analyze actions or the behavior of a group of people sharing a common characteristic during a particular time span. Analysis Overview: This Cohort Analysis recipe will walk through the steps on how to pull the raw data, create cohort identifiers, calculate life stages, and create a pivot table and graph. Analysis Benefits: C ohort analysis allows us to identify relationships between the characteristics of a population and that population's behavior
Originating Author: Adam Greco Introduction: Analyze how deep visitors are going into your internal search results in general and for each search phrase Analysis Overview: Website visitors conduct searches on your website, they are hoping to get immediate, relevant results. Most visitors don't go beyond the first page of search results, but knowing how far down they go before clicking can help you determine how relevant your top results are for your users. By collecting the correct data in your analytics tool, you can determine how far visitors go into your search results in general and for each search phrase. Analysis Benefits: Determine how relevant your search results are to your users Determine if there is a need for additional content to appear in search results Analysis Recipe: Capture the search phrase in a dimension whenever a search takes place When visitors conduct an internal search and click on a search result, capture an event and pass the numeric location of the click (i.e. position # in search results) to an event Create a calculated metric to compute the average search position This metric can also be seen by search phrase Potential Analysis Action Items: Look for key search phrases with high average search position values and try modifying content to have more relevant results Consider having pre-defined search results (i.e. recommended links) for terms with little content and high search position scores Monitor the trends of the top search phrases to see if spikes occur (i.e. possibly content inadvertently removed from the site) Conduct analysis to see how average search position impacts other KPI's (i.e. do people getting lower average search positions search results convert better or worse than others?) Vendor Specific Tips and Tricks: In Adobe Analytics, here is a blog post that covers this recipe and includes detailed implementation steps: http://analyticsdemystified.com/adobe-analytics/average-internal-search-position-clicked/ #InternalSearch #VENDOR-ADOBE #LEVEL-INTERMEDIATE #TOPIC-INTERNALSEARCH
Originating Author: Adam Greco Introduction: Provide a way to see which website search terms lead directly to site exits Analysis Overview: Many websites use onsite search as a way to find content or products. However, many times visitors conduct searches and leave the site after viewing the results. It is not often easy to determine which search terms led to future page views and which led to site exits. Analysis Benefits: Identify which onsite search terms lead to subsequent page views and which are causing exits so additional content can be added to prevent exits Identify which onsite search terms lead to other KPI's Analysis Recipe: When visitors conduct an onsite search, capture the search phrase in a dimension On all of the pages besides the search results page, capture the website page name in the same dimension Enable pathing on this new dimension and use pathing reports to see what occurs after the search term is passed. An exit means they left the site and a page name means that they went on Potential Analysis Action Items: Find the highest exiting onsite search terms and add content that is more relevant Compute the overall search result page exit rate to view success of search overall Vendor Specific Tips and Tricks: In Adobe Analytics, here is a blog post that covers this recipe and includes detailed implementation steps: http://analyticsdemystified.com/adobe-analytics/onsite-search-term-exit-rates-sitecatalyst/ #Adobe Analytics #OnsiteSearch #ExitLinks #InternalSearch