UX Analytics – Have you heard about the Instagram insight feature in Instagram business? With the insight feature, we can see a lot of information like account reached, impressions, stories interactions like how many people shared your story, liked your story and clicked the link that you provide in the stories.

Also,  how many people press back, forward, exited, next to your story and visit or follow your account. Let’s say you’re an influencer, and Instagram didn’t provide that feature. I think you will be confused about setting your rate card for endorsement, and the main thing is you don’t know which content types you created will meet your audience’s needs. It will be the same if you have a website but don’t know your website’s traffic. You will be confused about how many people visit your website, click on a specific page, and leave your website without scrolling or clicking pages on your website. So you don’t know if your website’s design will serve the end users well. With UX Analytics, you can check the traffic of your website.

What is UX Analytics?

UX Analytic is the measurement and analysis of user activity on a website or app that provides insights into how its design can be adapted to meet the current or changing needs of end users. Without reliable behavior data, there’s no way to be sure that any design changes you make will better serve your users.


UX analytics allows you to test, confirm and develop design intuition through data. If your intuition tells you that users aren’t clicking on a particular button, you can test by leveraging UX analytics. Here are the benefits of UX Analytics :

  • Find out where users are leaving and why
  • Optimize the customer journey to reduce Bounce rates
  • Rethink visual design to aid usability and accessibility
  • Find out where and why the user is “rage clicking”
  • Boost conversions and maximize sales
  • Rearrange and tailor content to fit the user’s intentions


Here are the UX tools that you can use :

First tool, Google Analytics

Google Analytics is a free service from Google that displays statistics on visitors to a website. Google Analytics is commonly used by website and blog owners to analyze website performance based on the statistical data displayed.

The Features

Google Analytic provides various features that can be accessed through the sidebar menu for the benefit of web owners in monitoring activities on their site, including:

  • Real-Time or Real-Time Reports
    This report contains the number of visitors in real time . The report is further divided into several sessions such as where the visitors came from, the devices used, the browsers used, to the keywords used by the visitors.
  • Audience
    The audience menu shows visitor trends over time, including the ratio of new visitors to returning visitors.
  • Acquisition
    Acquisition broadly shows where the visitor channel is coming from. Google Analytics will divide into several channel categories such as Organic Search, Direct, Social Media, or Referrals.
  • Behavior
    This menu shows average site performance such as Pageviews, Average time visitors spend on site, to Bounce Rate.

Terms in Google Analytics

In order to better understand the statistical data display, there are some Google Analytics terms that must be understood.

  • Sessions
    Is the number of visits to the website or blog. Even if there is a website visitor who comes and opens many pages, they will still be count as one visit.
  • Page Views
    Is the total page that the visitor viewed. In page views, each page that is open is count differently. So, page views will always be greater than the number of visitors ( sessions).
  • Users
    Are visitors who visit your website at least once.
  • New Users
    Is a visitor who is visiting a website or blog for the first time.
  • Bounce Rate
    Is a visitor who visits the website but only opens 1 page and immediately leaves.
  • Exit Rate
    Is a visitor who visits a website page several pages, before exiting.
  • Pages/Sessions (pages per session)
    Is the number of pages that open in each visit.
  • Avg. Sessions Durations
    Is the length of time use by visitors in each visit to the website .

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Second tool, Mouseflow

Mouse Flow is a paid tool that provides analytic features the same with Google Analytic, but Mouse Flow brings it to the next level, users can know why the visitor drops off, why they abandon their cart, aren’t filling out your form, and more.

The Features

  • Season Replay
    Actions speak louder than words, Mouse Flow shows every user journey. Not just a sample, so it can resolve user frustrations without missing a beat.
  • Heat Map
    the Heat Map feature will answer questions about how far do users scroll? Which contents actually aids conversions? What distracts from the journey? Where is the user base located? How do they interact with dynamic menus, Iframes and elements?
  • Conversion Funnels
    Users will get better ROI from every funnel by using Mouseflow to improve the path to purchase and rescue at risk conversions.Dive in and start watching session recordings of dropped and converted users to optimize each phase of the customer journey.
  • Form Analytics
    Form fatigue is real. Find out if it’s costing you conversions with field by field analysis so you can uncover interaction issues and increase conversions all in one swoop (because sometimes it’s just TMI).
  • Feedback
    Get feedback where and when it matters most. Mouseflow, interactive surveys allow you to target a specific audience in seconds.

Now you know what is UX Analytics, what is the benefit, and the tools. If you still confuse about how to use Google Analytics and Mouseflow I will create another articles for the tutorial, check others article in here.