\n It's not enough to draw general conclusions – not all your users are one and the same.\n
\n\n You'll never be able to please everyone, but that's alright. You can focus on\n meeting the needs of a specific group instead!\n
\nIn this article we'll discuss:
\nSounds good? Let's begin!
\n\n User segmentation is a process of creating groups that differ in specific\n characteristics. Each segment has certain traits that distinguish it from other audiences.\n
\n\n For example, iPhone users, people who found the website on Google and visitors that clicked\n on a link in a Facebook group are three examples of various segments. There are different\n traits to consider, from browsers and devices to traffic sources and session durations.\n
\n\n What's more, the segment doesn't always consist of just one characteristic.\n Separate filters can be combined to create a very specific group. Let's say that\n you're researching the behavior of your London users when they're on the go. In\n this case, you might want to consider mobile sessions from a particular city. LiveSession’s\n filtering is quite detailed – and you can add custom filters, too! Have a look at an\n example:\n
\n\n Once you start segmenting your users, soon you'll realize that every group has very{' '}\n specific needs and problems. Mobile users deal with other issues than the\n ones who engage with your website on desktop. Different browsers, operating systems and\n devices may display your site in a different way. The list of possibilities is endless, so\n it makes no sense to try guessing – it makes sense to focus on proper research instead.\n
\n\n Your audience can be divided into separate groups at the very beginning of your UX workflow.\n LiveSession offers filtering tools to segmentize your user sessions according to a wide\n range of variable to choose from:\n
\n\n Let’s start from the basic – the way users interact with your website. When it comes to user\n behavior, you can filter your sessions based on:\n
\n\n Very short visits will help you find reasons for bounce rates. Longer ones are a valuable\n source of information about both the good and the bad things about your website. You can\n choose to see sessions longer than 30 seconds (or even milliseconds!), shorter than two\n minutes, as well as include or exclude specific durations. Here’s how the duration filter\n looks like within the app:\n
\n\n You don’t need to skip the sessions you’ve already seen manually. Instead, you can filter\n them out in just one click!\n
\n\n With LiveSession you can scoop out the first-time visitors only. This way, you can see\n what's not exactly intuitive at first sight. And vice-versa – you can exclude first\n sessions from the search and focus on returning visitors only.\n
\n\n These filters can be used to analyze user journeys that included a specific part of your\n website. You may focus on sessions that ended at the checkout, started at the home page or\n included the 'About us' section.\n
\nHere’s how the filter looks like:
\n\n Let’s start from discussing both drop-down lists in more detail. First of all, you can\n either apply the filters to:\n
\n\n When you use the has substring option, you’ll see sessions from pages that contain a\n specific query in the URL. For example, if you’re running a e-commerce store and would like\n to see how your users behave at the checkout, you need to enter a word that appears in your\n checkout’s URL. Likewise, if you’d like to filter product pages only, you need to enter a\n common substring for all of them, e.g. item, product or something similar.\n
\nYou can also look at one specific URL only, or exclude it from the search:
\n\n As a dedicated click-tracking software, LiveSession allows you to filter your clicks in many\n ways. First of all, you can browse user clicks based on either the CSS selector or text\n only.\n
\n\n If you’re not familiar with technical details, this may sound a little daunting at first.\n Don’t worry, though – it can be explained in just a few sentences.\n
\nImagine you’ve got a button like this:
\n\n The developers usually use CSS (Cascading Style Sheets) to implement it on the website. In\n the CSS code, the button looks like this:\n
\n\n {''}\n
\nWhat can you do to find the sessions where the user clicked on that exact button?
\nWith LiveSession, you can use the text or the CSS selector filter:
\nTo see how it works, have a look at an example:
\n\n With this filter, you can choose to see sessions where the users clicked or tapped something\n on the website. Filtering out sessions without clicks can be helpful if you'd like to\n focus only on the ones where the user has interacted with your website. This can be done by\n selecting a number of clicks greater than 0:\n
\n\n You might also choose an exact number or a larger/smaller amount. This will help you find\n sessions where your users were particularly active:\n
\nWhat’s more, there are two very special types of clicks you can track with LiveSession:
\n\n You might be wondering now, what is the difference between error clicks and rage clicks?\n Both types of clicks often inform you about the same kind of event. Error clicks are\n recorded based on JavaScript errors, while a rage click is detected when someone clicks on\n the same element multiple times in a row.\n
\n\n Using your website on a small smartphone while standing on the subway is a whole different\n experience than browsing it on a 20-inch desktop screen. With this in mind, here's how\n you can filter your user sessions depending on the device and software:\n
\n\n Tablet, smartphone, desktop – what are you going to focus on? Every device has its own\n perks, so it's particularly important to filter this segment.\n
\n\n The filters in this category work in a similar way. Once you hover your mouse over the text\n box, you’ll see a list of the available options. Have a look at an example:\n
\n\n In this case, the visitors were using the website mainly on desktop. The available options\n depend on the behavior of your users. You’ll only see filters with at least one session\n assigned to them.\n
\n\n Why would you need such a specific metric? It might be that there’s an error on the newest\n iPhone model, while the same feature works perfectly fine for the older version. Here’s how\n this filter looks like in action:\n
\n\n Firefox, Safari, Google Chrome, Opera or maybe some niche browser? This information is sure\n to come in handy when trying to solve a bug. What’s more, you can also see if the visitor\n was using the mobile or the desktop version of a browser:\n
\n\n OS X users may have a slightly different view of your website than visitors using Android or\n Windows. As you can see, this functionality covers both mobile and desktop operating\n systems:\n
\n\n You might think that your web design is perfectly responsible. It doesn't hurt to\n double-check, though! This filter may help you find fields for improvement.\n
\nHard to imagine how it works? Here’s an example:
\n\n You can see what are the most common screen resolutions – in this case, 1680x1050 (16:10\n ratio) and 1920x1080 (Full HD). This information is valuable for your designers, as it will\n help them optimize your product accordingly.\n
\n\n Your users may behave differently depending on where they came from. There are two main ways\n to track this variable:\n
\n\n These are used to track traffic coming from a specific platform. For instance, if you\n advertise your company on Facebook and use UTM tags in your links, you'll be able to\n see how Facebook audience interacts with your website.\n
\n\n With LiveSession, you can browse user sessions according to UTM tags included in the links\n they have clicked:\n
\n\n While UTM tags are designed with pay-per-click campaigns in mind, referrers work best when\n you know which domains will be linking to your website. In this case, you’ll see a list of\n websites your users came from. Have a look at an example:\n
\n\n In many fields, especially e-commerce, the user behavior may vary significantly depending on\n the location. If you'd like to focus on specific market segments, you can filter your\n sessions by:\n
\n\n Obviously, this is crucial if your business is operating internationally. The filter\n displays country codes, such as PL (Poland) or AE (United Arab Emirates), like in the\n example below:\n
\n\n This filter is the most helpful for large markets. It's not enough to differentiate the\n US from other countries – your Florida users may have different habits than visitors from\n Illinois. In case of smaller countries, like Poland, you’re going to see separate\n voivodeships:\n
\n\n Yes, this is how detailed LiveSession filtering gets! You can even see the city your user\n comes from. It might be really helpful if you’re running a locally-focused campaign.\n
\nWith LiveSession, you can see exactly who’s who. Here’s how:
\n\n Every visitor can be identified with their unique ID, which is assigned to each of their\n sessions. If you filter all recordings with that ID, you’ll see all the visits of this\n particular user.\n
\n\n LiveSession allows you to add even more user data. You can identify your users by name and\n email, too. Visit our\n
\n Last but not least, you can integrate customer data from sales CRMs, customer service\n software and other tools. This way, it’s much easier to track of all the issues to solve and\n keep the whole team on the same page.\n
\n\n Need an example? If you’re selling a SaaS product, the users can be filtered according to\n the product plan they’ve purchased, like this:\n
\n\n As you can see, there are many ways to segmentize your user sessions. Last but not least,\n remember that you can save particularly interesting filters as a{' '}\n pre-built segment:\n
\n\n What’s more, the segments can be shared with your team or saved as your private categories.\n Here’s how it works:\n
\n\n We encourage you to keep trying various approaches to see what you can discover. Happy\n tracking!\n
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