All your experiment reports will provide consolidated insights into your visitors’ behavior. Dig deeper to find segment-specific experiment reports that can help you make tailored marketing decisions for segments of your audience and use these to maximize your conversions.
This page will help you understand how you can segment PageSense’s reports to help you gain the most value from them.
To segment an experiment’s reports:
Step 1 : Go to the Reports tab of your experiment.
Step 2 : Click the funnel icon on the right.
PageSense offers two types of report segmentation: Smart and Advanced.
Smart Segmentation :
Smart segmentation allows you to segment reports based on visitor type, source, country, device type, browser, operating system, day of the week, and hour of the day.
Click any of these segments to view presorted metrics to help you understand your visitors better at a quick glance.
In addition to numerical data, you can also view the traffic to your website for a specific day of the week and hour of the day.
In our example, from the day of the week and hour of the day segments, we can observe that the website gets a lot of traffic on Thursday evenings.
What we can learn from this is that optimizing paid advertising channels and social media updates on Wednesday and Thursday will draw in the biggest number of visitors.
Key takeaway : Interpreting this data could help optimize your advertising channels and schedule social media updates accordingly.
You can expand any option under smart segment to see reports on it.
Advanced Segmentation :
Advanced segmentation is an extension of smart segmentation. Use it to create an audience segment filter via AND/OR combinations.
You can segment reports based on current URL, referral URL, query parameter, source, location, visitor type, device type, browser, operating system, day of the week, hour of the day, and mobile OS.
Current URL :
The URL that is displayed in the address bar when your visitor opens the web page, either by directly entering the URL or selecting it from a web browser bookmark.
Referral URL :
The URL via which your visitor arrives to your website. This could be a previous page or an affiliate link locations.
For example, if you visitor arrives to your website by clicking through a search engine results listing on Google, the referral URL may be https://www.google.com.
Query Parameter :
Let’s take a sample URL to understand query parameters:
Here, utm_content=banner&456=true&type=latest+news+around+the+world is the query string. Query strings are indicated with a question mark, and come after the path.
This query string has three query parameters (to the left of the three equal signs) and their respective values (on the right):
utm_content = banner
456 = true
type = latest+news+around+the+world
You can segment audience based on the source they access your website from.
Direct visitors are those who access your website by directly entering the URL in the address bar.
Referral visitors are those who come to your website through a referral URL, 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.
If a visitor clicks through to your website through a paid (e.g., ad) or unpaid update on social media (Facebook, Twitter, Google +, and LinkedIn), that visitor will be included in the Social Traffic.
Traffic in the Organic Search source reaches your website via search results on a search engine like Google or Bing.
The Paid Campaigns source includes all the 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_medium, utm_campaign, utm_term, and utm_content.
You can also segment the audience using other filters in advance segments: visitor type, decide type, browser, operation system, day of the week, hour of the day, and mobile OS. Mix and match the filters to create focused audience segments.
A quick example of Advanced Segmentation :
We’ve created an audience segment for visitors from the United States, sourced from social media, specifically from Twitter.
You can toggle between AND and OR conditions depending on the type of audience segment you wish to create.