In PageSense, you can segment and filter your experiment reports based on visitors who share common characteristics and behaviors on your web pages.  You can do this with the use of Segment Audience feature, which lets you quickly break down your reports and get deeper insights by applying different types of audience segmentation options, such as visitor type, source URL, device, or location, to make tailored marketing decisions and maximize website conversions. For instance, say you're running an A/B test on your ecommerce site and you want to see the filtered narrowed down results based on visitors using Google Chrome browser in mobiles. In this case, you can segment and filter your report  by selecting Google chrome in browser and Phone in Device type audience segments.

Here are some of the tasks that can be made easier by using audience segmentation in your experiment reports:

1. Getting a better idea of where your target audience is located
   
2. Seeing which products specific visitor groups view or buy the most
   
3. Checking which marketing campaigns or traffic channels generate better results
   
4. Comparing performance of different types of visitors on different devices.
   

Smart segmentation in PageSense is a much faster, easier, and smarter way of filtering specific audience metrics in your reports, based on the predefined criteria, such as visitor type, source, country, device type, browser, and operating system. Additionally, you can view the traffic to your website for a specific day of the week and hour of the day. This helps you to target and optimize your website for every customer by analyzing the behaviors and patterns of different visitor groups on your website. 

• Save & Apply to save the audience condition permanently to your experiment report. Enter the segment name and description, then click Save in the pop-up box. 
  
  
  

• Apply to apply the selected segment to the experiment report. This segment will not be saved. 
  

Visitor type

1. New Visitor: A visitor who is part of any test on the domain for the first time.
   
2. Returning Visitor: A visitor who has already been part of another test running on the same domain.
   

Device type

Browser 

Traffic source

• Direct traffic: Includes all visitors who access your website by directly entering the URL in the address bar.
  

• Referral traffic: Includes all visitors who come to your website through referral websites, rather than going directly to your URL. This doesn't include the visitors typing in your website URL into the address bar or accessing it through a bookmark link. 
  

  Example:
  Say you are running an A/B test adding promotional banner to your homepage, and you want to see how many visitors from a specific referral traffic site called 'www.couponcodes.com' have landed on your website and achieved the set goal.

• Social traffic: Includes all visitors who come to your website from social media platforms, such as Facebook, Google +, Twitter, Linkedin, and Pinterest. 
  

  Example:
  Say you are running banner ads on multiple social platforms and you want to filter reports for visitors from Twitter site.

• Organic traffic: Includes all visitors who reach your website via search results on a search engine like Google, Yahoo, or Bing.
  

  Example:
  Say you want to break down report to your new blog page based on visitors coming from organic search traffic, and see which content or keyword gets a higher visibility.

• Paid campaigns source: Includes all visitors who reach your website via paid ads. This source also includes those visitors who click through to your website via links that contain UTM parameters, including utm_source, utm_campaign, gclid, and otm_source.  
  

  Example:
  Say you want to filter reports of people who visited your shopping site from the Google ad campaign on "Holiday_sale".

Operating system 

Day of week

Hour of the day

Country

Advanced segmentation

To segment your report using advanced filters in PageSense:
1. Select the experiment from the left pane, then click the REPORTS tab on the top.

2. Click the Segment Audience button at the top-right corner to view the two types of audience filtering segments on the left pane. 

3. Click ADVANCED, then choose your preferred audience segment condition and logical operator value. 

4. Click + to choose the AND or OR combination for your audience segment, then select the second set of audience criteria from the dropdown.

5. Click the NEW GROUP button to define multiple conditions for a segment, and logically group your segment conditions. 

6. Once done, click either:

• Save & Apply to save the audience condition permanently to your experiment report.
  Enter the segment name and description, then click the Save button in the pop-up box that appears to save the applied filters as a custom segment. 
  
  
  

• Apply to apply the selected segment to the experiment report. This segment will not be saved for future references.
  

To edit a saved audience segment in report filters:

1. Go to the SMART segment tab and click the edit icon next to the audience segment you want to edit.


2. Make the desired changes to your audience group under the ADVANCED tab, then click Save.  

Current URL

Referral URL

Query Parameter

User Information

Visitor activity

Few examples of using AND/OR conditions in advanced report filters:

Example 1:

Example 2:
Suppose you own an ecommerce site, and you want to see the filtered results based on visitors using Google Chrome browser in smartphone devices. In this case, you can create an advanced segment by selecting Google Chrome in Browser AND Phone in Device type, as shown below.