Such a list is a great way of motivation to set and reach your goals. But if we talk about business, success, and increasing revenue, it’s not a good idea to rely only on a piece of paper and your goodwill. Not to mention waiting until the 1st of January. 

A better, more efficient way to do this is by providing a goal-oriented analysis of your business. So roll up your sleeves, because in this article you will learn everything about goals and how they can bring your business to the top! 

## What are a business's goals and objectives, and does your business really require them? {#what-are-a-business's-goals-and-objectives,-and-does-your-business-really-require-them}

**The business goals are the success that the company wants to accomplish in a given period of time.** They can take a variety of forms, from becoming a leader in your industry to increase revenue or improving business relations.

Whether you are a small business, an enterprise, or a one-person operation, setting business goals is the first step to a prosperous future. There are several ways to do it. You can work with SMART goals' method, CoNVO analysis, or OKRs. Each way may be great to establish your set of business goals and objectives. 

Business goals are like a compass, they help drive businesses in the right direction. So there is no doubt that every organization needs them. Furthermore, business goals are the motivating force that drives employees to action, directs the daily work, and stands behind the company's success. It’s an excellent way to check how the company is developing. **Without business goals, your company is just a drifting ship with no purpose.**

<center><iframe src="https://giphy.com/embed/c7Ky8hMkjO45q" width="480" height="480" frameBorder="0" class="giphy-embed" allowFullScreen></iframe><p><a href="https://giphy.com/gifs/c7Ky8hMkjO45q">via GIPHY</a></p></center>

## Tracking and measuring the progress – Goal Analysis {#tracking-and-measuring-the-progress-–-goal-analysis}

Access to data has never been easier. We keep track of everything and everyone that is connected through the Internet. We are eager to learn more about our users than ever. Not only that, but we want to know why users behave the way they do, why didn't they choose a path that was designed for them, what kind of feelings accompany them, etc.

But at the same time, we are truly overwhelmed and intimidated by the amount of data that we can gather. And already, have. So how not to go haywire? The answer is simple, **focus only on data relevant to your business goal.** Regardless if it's a purchase, form submission, file download, registration, go to check out, click, scroll… 

To track and measure the progress, you will need a proper tool for Goal Analysis. You want to be 100% sure that you’re indeed moving towards your goal. And that’s when [cux.io](https://cux.io/) comes in handy. Unlike the competition, CUX doesn’t stop at the presentation of quantitative and qualitative data, goes much further. Interpret the data in relation to business goals. 

## How CUX can help in analyzing and achieving company goals? {#how-cux-can-help-in-analyzing-and-achieving-company-goals}

CUX is really serious about the “NO DATA SPAM” policy. That's why **we’re focusing only on the finest data-driven insights.** The tool displays users' interactions with your website, online store, or single-page app. Finds users' pain points and places where people experience frustration and negative emotions. CUX immediately points out places that require your attention. Always in relation to your set-up goals! 

![CUX-dashboard-goal-details.png](/uploads/CUX_dashboard_goal_details_24ae46a626.png)

Analytics doesn't have to be tedious and lengthy. It really can be easy. And believe it or not, it can be even fun! With CUX you are looking for a quick-win solution that will bring you closer to achieving business goals.

## Goal-Oriented Analysis in CUX {#goal-oriented-analysis-in-cux}

### What is a Goal?

The definition is simple. As a goal itself, we describe **the amount of the number of recordings that meet your stated goal, e.g., newsletter sign-ups to all visits’ recordings.** Based on Goals, CUX’s scripts know exactly what is significant to your business. Set up Goals to make your business understandable to the tool, by translating it into code, and defining how it should interpret your data by focusing on the most significant insights in the goal context. 

There can be different kinds o goals. You don’t have to focus only on sales but also on intentions to sell, abandoned carts, traffic from social media, sending the contact forms, user registrations, subscriptions to newsletters, etc. Anything that matches your business objectives! 

With a properly configured Goal, you’ll be able to track clicks, scrolls, page loads, and activities connected to form filling or traffic from referrals. 

### How to set up a Goal in CUX? 

CUX provides two options while setting goals. You can either create your own custom Goal or use a predefined example. There is an unlimited number of Goals for one project, and they do not have to be related to each other.

![Adding-new-Goal-CUX.png](/uploads/Adding_new_Goal_CUX_e3659935c2.png)

With predefined Goals, you’ll get directions on how to create an analytical path to measuring your users’ behaviors. Following the prompts, you will still have to name your goal, add its internal description (optional) and modify the steps so that they’ll match your project – add XPath or referral page, set appropriate form fields, etc.

What is important is that CUX doesn’t require developer assistance to add goals. CUX auto-captures events on the websites, so you do not need specialized knowledge or help from the IT department to set Goals. [See how to set your own custom goal](https://cux.io/knowledge-base/building-your-custom-goals/) or watch a video tutorial. 

<center><iframe width="560" height="315" src="https://www.youtube.com/embed/aQDKkieNUgE" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center>

### Analyze the data

**Goals can save even 5x time on analysis.** CUX’s script sieves out the data that isn’t related to your Goals. This lets you focus on those users who have entered the process of achieving a given goal. On the dashboard, you can find detailed information about particular goal progress and places where users struggle.

In the “Goal” tab, you can track user experience, see their activity, and get information about the devices they’re using. And if something doesn’t work, you will be able to find causes by watching [Visit Recordings](https://cux.io/features/visit-recordings/) or seeing [Heatmaps](https://cux.io/features/heatmaps/).  

![Goal-details.png](/uploads/Goal_details_4184520407.png)

### How to check Goal progress?

The goal progress chart is available from the dashboard, or it can be accessed from the Goals section. The chart shows to what extent the goal has been achieved in the last week. 

![Goals-section-CUX.png](/uploads/Goals_section_CUX_3c242d378d.png)

What is great about Goals is the fact that you don’t have to check analytics updates every day and spent a lot of time analyzing them. You can create **dedicated alerts, that will inform you whenever your goal reaches defined progress or sudden drops will appear** – whether it is 1% or 100%. You will get an email notification every time.

#### How to set up alerts in CUX for Goal progress?

1. Log into [your account.](https://app.cux.io/login)
2. Go to Goals, choose the specific target, and select the “Alerts” tab. Click “New Alert”. 

![Setting-up-alert-for-goal.png](/uploads/Setting_up_alert_for_goal_697a16e7cb.png)

3. Fill in the necessary information like alert name, -mail address, and set up a preferred variable and its value. 

![Adding-alerts.png](/uploads/Adding_alerts_4676858173.png)

4. From now on, you never have to worry again about the constant need of checking your analytics!

## Why analysis of business goals is more beneficial than typical analytics?  {#why-analysis-of-business-goals-is-more-beneficial-than-typical-analytics} 

You are not still sure about analyzing goals and milestones? Those are a few benefits of goal analysis that might convince you to implement them into your daily analytics.

- Goal analysis saves the company time on manual analytics (even up to 5x times).
- Focus only on the key data that is relevant to your business or projects. 
- Pre-selects data for you.
- Straightway to finding quick wins.
- Catches users’ problems and frustrations on the website.
- Allows you to follow the progress of the goal from the dashboard.
- Sends you an alert every time your goal rate changes by the amount you specify.

## How not to spend a tremendous amount of time on analytics? {#how-not-to-spend-a-tremendous-amount-of-time-on-analytics}

You are aware that it’s not worth spending a tremendous amount of time and money on things that are not necessarily valuable for your business. A better idea is to consume this time in a different sort of way.

CUX makes user behavior analytics as simple and pleasant as possible, giving you quick-win implementation possibilities! It gives businesses opportunities to not only save time, but also increase revenue by finding user behavior patterns that might inhibit conversions. 

You know the importance of goal analysis, so are you ready to implement it and increase revenue? The next step is easy, you just have to sign up for a free trial version or [book a demo](https://cux.io/request-demo/) to find out what a game-changer goal-oriented analysis is! 

![CUX-drop-a-line-1.png](/uploads/CUX_drop_a_line_1_b4edf5d744.png)




Analysis-of-business-goals.png

When we talk about goal achievement, the first thing that comes to our mind is a list of New Year's Resolutions. Who hasn’t done it at least once, please raise your hand.

How CUX helps in achieving set goals. Analysis of business goals

## 4 most common configuration mistakes when settings Goals
### You have not mapped the full user journey
Sounds absurd? It’s the most common mistake when setting up the Goals! Goal not working results from overly general thinking about the idealized (and probably designed by ourselves) user path.

Suppose you run an online shoe store. Your analytical goal will probably focus on tracking visits that resulted in a sale. In the Goal configuration, you will tell [cux.io](https://cux.io/) to monitor visits whose users have traveled the path: _cart (page load) > ThankYou page (page load). Easy, right? So why is this Goal not working?_

Meanwhile, in reality, users need to add items to the cart first, then they are sent back to the shipping details form, to the payment page, and finally to the ThankYou page. So the visit you should track would be: _add to cart (click)> checkout (form)> payment (click/form/page load)> ThankYou page (page load)._

![Whole user journey CUX](/uploads/Sekwencje_ad415f394d.png)

_<center>To see the full context of the data focus on the whole user journey.</center>_

### You didn’t check the recordings
The quickest way to see that the Goal is not working properly is in the tab with visits’ recordings. To find it to your cost, go to Visits and click Open filters. Set the filter so that it maps the event you want to track in your Goal (you can also use events from GTM). In the case of a misconfigured Goal, you’ll have two outcomes:

- **We do not collect recordings**

The event you are trying to track is not happening on the page. Perhaps the path you designed does not reflect the real customer journey (example one)

- **We collect recordings**

If, after filtering, you can see recordings with the events, but you do not see them in your Goal – check typos and Comparison settings in Goal! Perhaps you rearranged the letters in the page URL, or choose Matches instead of Contains?

### You don’t use negation
Negation in the case of events means that CUX will select for you all the visits that did NOT meet the given Goal. For example, if you select an even “Click the “buy” button” and check the “Reverse this step (Negation)” box, you will only see the visits’ recordings where users did not fulfill the Goal (did not click the button).

![Reverse this step (Negation)](/uploads/Screenshot_2021_01_13_at_10_23_47_1536x594_9ff7585755.png)

_<center>“Reverse this step (Negation)” option in event setup</center>_

Why is it so important to use negation and watch visits that didn’t convert? Filtering the customer journeys and viewing the non-selling ones allows you to spot behavioral patterns. This way, you will see the pitfalls of users who have failed to make a purchase. You will find out where their frustrations occurred and how you can start to prevent them in the future.

![Goal-–-Negation-1536x580.png](https://content.cux.io/uploads/Goal_Negation_1536x580_44a61e0732.png)

_<center>For meaningful results, focus on all traffic, not just on goal-reaching visits.</center>_

### You set the wrong timeframe
The simplest solutions are usually the best ones. If your Goal is not working, and you don’t see any valuable data – even though you know users are converting – check the timeframe. Perhaps you have set last week as your default scope, and this is not enough for the tool to prepare the appropriate data for you. Easy? Easy! And how effective!

<center><iframe src="https://giphy.com/embed/LYKlkPDnCKs6v0obwS" width="480" height="480" frameBorder="0" class="giphy-embed" allowFullScreen></iframe><p><a href="https://giphy.com/gifs/showtime-season-2-episode-3-smilf-LYKlkPDnCKs6v0obwS">via GIPHY</a></p></center>

[![CUX-drop-a-line-2.png](/uploads/CUX_drop_a_line_2_e8346a4821.png)](mailto:team@cux.io)

Want to harvest the freshest analytical crops? Sign up for the cux.io nourishing [newsletter](https://cux.io/newsletter/)! Be careful! We may grow on you! 🥑 😉

Goals-common-mistakes.png

You work with CUX, your actions starting to be automated, the conclusions come to mind automatically. Your analytical world is better than ever! 

You work with CUX, your actions starting to be automated, the conclusions come to mind automatically. Your analytical world is better than ever! And suddenly… your Goals don’t collect data! You check Goal settings, examine recordings, flick heatmaps. Zilch! Why is your Goal not working? You’ve probably made one of those common mistakes.

Why are your Goals not working? The 4 most common configuration mistakes

## How to read heatmap? {#how-to-read-heatmap}

Correctly read heatmap is able to show you the exact history of activity on your website. Thanks to it, you’ll find out where exactly people clicked and where they didn’t click, even though you wanted them to. Do they click on things that aren’t linking? Do they click in anger or frustration? You will see which links are not working, and identify places where the links should appear (the so-called dead clicks).

When you look at a heatmap, don’t take anything for granted! What you see is a generalized view of the user’s activities. To see more details and analyze specific scenarios, you’ll have to dig into the settings. Look for new points of view, find specific segments. And I’m here to tell you how to do it.

![Heatmap CUX](/uploads/Screenshot_2020_10_21_at_12_24_34_700x405_1_4b6a256ac6.png)

_<center>Heatmap [cux.io](https://cux.io/)</center>_

## Heatmap ≠ Linkmap {#heatmap-≠-linkmap}
When you read a heatmap remember: a heatmap is always static. Some tools scrape the page (i.e. extract data from web pages) immediately after connecting the code. Others, such as CUX, display the latest recorded view in the heatmap preview. This is especially important for the timeliness and accuracy of the collected data on user behavior.

Remember that the heatmap applies to all clicks on the page – regardless of their severity and location. Heatmaps where you can see that users click and hit the buttons perfectly are probably linkmaps. Linkmaps exclude any clicks that are not clicks on links to other subpages, and therefore cannot provide you with a complete picture of user behavior.

## Pop-ups, widgets, drop-down menus {#pop-ups,-widgets,-drop-down-menus}
If your website has multiple states – that may be an analytical problem. All clicks and interactions with pop-ups, widgets or hovers appearing on your website will be extremely important for user behavior analysis. Unfortunately, if they don’t generate separate URLs, you won’t see a separate heatmap for them.

When analyzing a heatmap and seeing clicks “floating in the air”, consider whether these are the places with additional content appearing. Like pop-ups, widgets or drop-down menus. While you won’t see them on the heatmap, remember that they have great analytical value! They’ll tell you a lot about what the users are facing.

## Tracking campaign traffic {#tracking-campaign-traffic}
Do you run an online business? You certainly drive traffic to your website from paid campaigns or social media. But are you following that movement properly on your heatmaps?

Remember that each redirection from external sources “attaches” a piece of text to your address. For users coming from Facebook it will be _fbclid_, for clicks from Google it will be _gclid_. If you have many campaigns or social media inputs, a heatmap for a single URL is not enough. In such a case, it is worth registering all URLs in heatmaps and using the [“grouped heatmap”](https://cux.io/blog/grouped-heatmaps/) function. We used it with great results while [optimizing the Valentine’s Day campaign for aniakruk.pl.](https://cux.io/blog/valentines-campaign-analysis-aniakruk-case/)


![aniakruk.pl heatmap CUX](/uploads/Ania_Kruk_case_5_700x392_1_a1303345c1.png)

_<center> Grouped heatmap for campaign traffic in cux.io (for rage clicks) </center>_

## Logging frustration {#logging-frustration}
No matter how much time you devoted to designing your perfect website or product – user frustration is a phenomenon that you will definitely encounter! Tracking user behavior patterns, the so-called Experience Metrics allows you to catch negative emotions before they turn into serious problems that threaten to decrease conversions.

Heatmaps are the perfect solution here. If read correctly, they can become a source of knowledge about users’ frustrations. Imagine a situation where some page element has many more clicks than your CTA (Call to Action). This is not a proof of its popularity, but most often of its problems. It may turn out that users cannot click on it. Thus, they increase the traffic in its area, which is distinguished by red on our heatmap. Heatmaps of [rage clicks](https://cux.io/blog/what-is-a-rage-clicks/) will also be useful in tracking frustration.

[![CUX-drop-a-line-2.png](/uploads/CUX_drop_a_line_2_e8346a4821.png)](mailto:team@cux.io)

Want to harvest the freshest analytical crops? Sign up for the cux.io nourishing [newsletter](https://cux.io/newsletter/)! Be careful! We may grow on you! 🥑 😉

How-to-read-heatmaps.png

Heatmaps are graphic representations of the most important activities of users on your pages. Actions increase the attractiveness of the heatmap area.


Heatmaps are graphic representations of the most important activities of users on your pages. Any action, such as clicking or moving the mouse, increases the attractiveness of the heatmap area by making it “warmer”. Places where users click frequently are red. The places where users click less often are blue and green. Simple? Not exactly! Heatmaps are real goldmines of knowledge about users, which, unfortunately, we often cannot decipher. So how to read your heatmap?

How to read a heatmap? Part 2


## What is a heatmap? {#what-is-a-heatmap}

As you probably know, a heatmap graphically shows users’ most significant actions on your pages.  Every single activity – like a click or mouse move, scroll, chaotic movement – adds to the hotness of a given area. The places where users click most often are marked as hot areas (yellow, orange, red). The places where users click less often are shown as cold (blue and green). Any areas without colors are the places where there’s no user action.

<center><iframe src="https://giphy.com/embed/5wFkqt6A8R4qAqGIFQ" width="480" height="270" frameBorder="0" class="giphy-embed" allowFullScreen></iframe><p><a href="https://giphy.com/gifs/abcnetwork-modern-family-eric-stonestreet-jesse-tyler-ferguson-5wFkqt6A8R4qAqGIFQ">via GIPHY</a></p></center>

## What heatmap is trying to tell me? {#what-heatmap-is-trying-to-tell-me}
In [cux.io](https://cux.io/) heatmaps can show you the most valuable things that happen on your website. Like places here people click or don’t click (but were supposed to click). Phrases that users clicked on thinking that they’re links. Anger and frustrated clicks. You can also use heatmaps for debugging your website. For example, you’ll be able to spot clicks on broken links or missed opportunities to have links (dead clicks).

## How to read a heatmap? {#how-to-read-a-heatmap}
There is a one simple rule for you to follow: don’t take anything for granted. Working with heatmaps require a bit of time and commitment. Heatmaps, by default, show a generalized, summary view of user actions. To see more details and analyze specific use scenarios, you need to change heatmap settings.

**You can for example:**

- change the type of device for which the image is displayed (desktop, mobile, tablet, smart TV, console, wearable, embedded browsers),
- check out images for different types of events (clicks, [rage clicks](https://cux.io/blog/what-is-a-rage-clicks/), mouse movements),
- set time intervals that interest you,
- change page resolutions,
- examine single or [grouped heatmaps](https://cux.io/knowledge-base/what-are-grouped-heatmaps/).

![Heatmap CUX](/uploads/heatmap1_700x333_e430c61515.png)

_<center> Adjust heatmap to your analytical needs </center>_

>The default heatmap view in CUX is the desktop view. If you need a pixel perfect view you should select a required resolution in heatmap settings. You can start by finding out which screen resolutions are the most frequently used by your site visitors. Next, adjust the CUX heatmap settings to see what happens when people see your pages using this resolution.

## See better, know more from CUXs' Heatmap {#see-better,-know-more-from-cuxs'-heatmap}
You can use an advanced filtering option for a better insight into heatmaps. Play with opacity – increase and decrease the transparency of hot areas to adjust visibility. Change intensity to find precise user activity points. Increase **intensity** to see exact click points if your page generates a lot of events. Decrease it to see specific places if you’ve fewer events. Play with spread to focus on single areas (low **spread** for high traffic pages, high for low traffic pages).

![Heatmap cux.io ](/uploads/advanced_700x333_90e2941150.png)

_<center> Advanced options to read a heatmap </center>_

## Why does a heatmap look messy? {#why-does-a-heatmap-look-messy}
It’s all about precision. If you’re looking at a nice heatmap with even borders you’re probably the victim of overgeneralization. Need an example? Let’s say you have a button on a page. The overgeneralized heatmap will show you clicks at the very center of it. But in reality the button rarely attract the mouse cursor to their center.

![Grouped Heatmaps in cux.io](/uploads/Grouped_Heatmap_main_1_700x359_1993e23ba9.png)

_<center> When you read a heatmap you’ll rarely see even borders </center>_

In CUX we’d rather our heatmaps to look messy and at the same time show you specific clicks. The exact clicked places. The right birthplaces of your user’s frustrations. And – thanks to this untidiness – a whole new level of understanding your customers.

## Making heatmap-based decisions {#making-heatmap-based-decisions}
When people cannot access page elements, they won’t use them. If this concerns the “Buy now” button, it would be a bummer, wouldn’t it? Can you afford not to know that your conversion call-to-action doesn’t work? Probably not! Keep an eye out for heatmaps showing a button that often gets clicked close to its edges or on one side only. Think if this is an indication that you should change the element placement on the page.

Examine if numerous clicks on text are related to copying text. The most obvious indicators are clicks before a piece of text, for example, at the beginning of a line. This often happens for emails that aren’t active links, promo codes or street addresses. If that’s the case for you – try to make it easier for users to copy the text. Perhaps highlighting content is not about non-copyable elements, but simply visibility problems? Maybe you used too little contrast font that is invisible to users?

It sometimes happens that even images that aren’t linked receive clicks. Think of this as an unrivalled opportunity. Let’s say you have a fashion e-commerce. One day you find out that a static photo on a product page gets clicks. Where do the visitors click? Is this a watch, a bracelet, or a cardigan that is clicked. If you have it in stock, you’ve just found an excellent opportunity to cross-sell your products!

## Mind the traps while analyzing heatmaps! {#mind-the-traps-while-analyzing-heatmaps!}
That may come as a surprise to you but heatmaps don’t show any dynamic elements! They’re always static snapshots of your page. That’s why you won’t be able to see elements like: pop-ups, tooltips, modal windows or drop-downs. However, we’ll show clicks that those elements received.

![Heatmap CUX](/uploads/Ania_Kruk_case_4_700x401_1_73341482c8.png)

_<center> If you read this heatmap you’ll see clicks on the menu bar after its expansion </center>_

When you see unexpected hot areas, think if a dynamic or temporary page element appears there. Do not mislead those areas as rage clicks. Our algorithms understand your page behavior and can distinguish clicking on a dynamic page element and angry behavior.

[![CUX-drop-a-line-1.png](/uploads/CUX_drop_a_line_1_b4edf5d744.png)](mailto:team@cux.io)

Want to harvest the freshest analytical crops? Sign up for the cux.io nourishing [newsletter](https://cux.io/newsletter/)! Be careful! We may grow on you! 🥑 😉

Blog-post-Recenzje-Partner-LP-31-700x394.png

People get hot about some things on your website. And they are totally cold about other stuff. Frustrations, chaotic movements, problems and solutions.

People get hot about some things on your website. And they are totally cold about other stuff. Frustrations, chaotic movements, problems and solutions – that’s all you can spot on a heatmap. But in order to make it a goldmine of user’s insights, you have to know how to properly read a heatmap.

How to read a heatmap? Part 1

## What is a rage click? {#what-is-a-rage-click}

### And when frustration prevails?

In brief, rage clicks are records of user frustration. We've taught our algorithms to show you every event, that happened on your site, which resulted in people clicking numerous times and getting no computer response. Why? Because those are your users who are experiencing something that's referred to as computer rage — the state of anger and angered actions directed against computers.

<center><iframe src="https://giphy.com/embed/pFwRzOLfuGHok" width="480" height="300" frameBorder="0" class="giphy-embed" allowFullScreen></iframe><p><a href="https://giphy.com/gifs/next-pFwRzOLfuGHok">via GIPHY</a></p></center>

Rage click is never a good sign, especially if we talk about user experience. When you ignore them, you risk increasing customer churn. But they can also be your guardian angels, leading you gently to the gates of QUICK WINS for your website. When you note them in the visits, use them to prioritize future design and development work. Use this as your chance to turn observations into actionable items and frustrated users into happy ones.

## Why do I see rage clicks? {#why-do-i-see-rage-clicks}

Rage clicks can be a bottomless mine of knowledge about customers' behavior. They appear whenever your website evokes negative emotions. They identify places that mislead visitors. These can be fragments of text that look like links or calls to action. These can be images that look like banners. Or simply dead links or buttons that don't work.

Sometimes things that aren't obvious to us to be clickable to someone can be the source of a tremendous number of rage clicks or other analytics metrics. The key is to take some action – track, identify, and turn them into quick wins of a better customer experience.

## How can I use rage clicks to improve customer experience? {#how-can-i-use-rage-clicks-to-improve-customer-experience}

You can use them to identify unresponsive pages. In general, you can find out if the performance of your website degrades the user experience. They can also apply to web design – you can look at whether the size of your images is optimized or if people are clicking on them, hoping to witness an enlarged version. Through the rage clicks, you can easily track partially loaded images. People click on them, expecting to view the graphics in full.

By analyzing user behavior, you’ll understand why your customers get angry when they visit your site and how their unexpected frustration is effectively inhibiting your conversion.

![Experience-metrics-cux.png](/uploads/Experience_metrics_cux_b83e5ff3a3.png)

_<center> Experience Metrics in cux.io </center>_

## Tracking rage clicks tools {/#tracking-rage-clicks-tools}

On the market, you can find a lot of analytical tools that let you track rage clicks and other customers' pain points on your website. This is a chance (of course, with proper analytics) to turn those metrics into actionable items and improve your customers' user experience.

One of the tools is CUX.io. First UX & Analytics Automation tool that recognizes, detects and defines the behavioral patterns of your users. One of CUX's main features is Experience Metrics. This will allow you to analyze what stops your customers from buying, and sorry for being completely honest, you will discover what kills your sales. 😥

Based on gathered data, and analysis of Visits Recordings, you will get many constructive conclusions that will lead you to a better User Experience and (cross fingers) improve your sales. 😎

### What can I measure with CUX's Experience Metrics?

- Rage clicks
- Rage key pressing 
- Zooming 
- Chaotic Movement

Learn more about Experience Metrics by watching our YouTube tutorial.

<center><iframe width="560" height="315" src="https://www.youtube.com/embed/Phcq-9o8GV0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center>

## How can I track rage clicks? {#how-can-i-track-rage-clicks}

In this article, we show you how to track rage clicks in CUX, the very first UX & Analytics Tool.

### Option 1: Dashboard

Rage clicks strike the eye whenever you log in to your CUX account. There's a special widget you should notice by default on your dashboard. This shows the number of visits – that have reached your main Goal – with rage clicks recorded. Next to it, you'll also spot that there other Experience Metrics like [rage key presses](https://cux.io/knowledge-base/what-is-a-rage-key-press/), [zooming](https://cux.io/knowledge-base/what-is-zooming/), or [refreshing](https://cux.io/knowledge-base/what-is-refreshing/) in context of your Goal.

![Rage clicks in CUX](/uploads/Rageclick_dashboard_1536x701_db8c55a75e.png)

_<center>Visits recordings filtered by rage clicks in CUX</center>_

### Option 2: Visit Recordings

You'll see them whenever you decide to watch your visits recording. You can filter the list of visits and use a rage click as a parameter.

#### To see visits where rage clicking happened:

1. Click Open filters on the Visits page.
2. Find the Patterns section.
3. From the patterns list, select Rage click.
4. Click Apply to see the list of select recordings.
5. The list of recordings automatically updates. You can then click Play for each visit and find out where exactly user frustration occurs. You can also apply one of our [predefined segments](https://cux.io/blog/walkthrough/user-segmentation-cux) on selected recordings, e.g., traffic from mobile or evening traffic.

![Rage click in visit recording CUX](/uploads/Screenshot_2021_03_15_at_16_50_37_1536x702_86be4091a0.png)

_<center>Visits recordings filtered by rage clicks in CUX</center>_

Each recording has a color marker below the player timeline. You can fast-forward the recording to take some details.

### Option 3: Heatmaps

Whether you decide to work on a single or [grouped heatmap](https://cux.io/blog/grouped-heatmaps) – you'll be able to spot rage clicks. Each heatmap allows you to see a specific type of event, and rage click is one of them. On the heatmap, you can also switch the device type to see, for example, whether angry behavior happens on mobile devices as well.

![aniakruk.pl campaign analysis: CUX grouped Heatmap](/uploads/Ania_Kruk_case_4_700x401_7dd7c655a3.png)

_<center>Grouped heatmap of the jewelry brand's Valentine's campaign focused on rage clicks.</center>_

## Why do rage clicks mean quick wins? {#why-do-rage-clicks-mean-quick-wins}

Rage clicks are essential in analyzing user behavior on your website. Why? Because they can easily lead you to quick wins – whether it concerns [optimization of marketing campaign](https://cux.io/blog/valentines-campaign-analysis-aniakruk-case), [form filling](https://cux.io/blog/quick-wins-form-validation), or [rescuing conversion drops](https://cux.io/blog/how-to-monitor-a-campaign-with-cux-t-mobile-case). You just have to identify them.

<center><iframe src="https://giphy.com/embed/4QFAH0qZ0LQnIwVYKT" width="480" height="345" frameBorder="0" class="giphy-embed" allowFullScreen></iframe><p><a href="https://giphy.com/gifs/cbc-schitts-creek-4QFAH0qZ0LQnIwVYKT">via GIPHY</a></p></center>

Ready to take some sweet action on smarter analytics and UX automation? Drop us a line at [team@cux.io](mailto:team@cux.io), or you can [try a trial version of CUX](https://app.cux.io/register)!

rage-click.png

Click, click, click, clickclickclickclickclick… and nothing happens. You just received a shorthand definition of a rage clicks. 

Click, click, click, clickclickclickclickclick… and nothing happens. You just received a shorthand definition of a rage clicks. BUT if you are interested in a bit more – where they come from, what they are, how to track them and what they can actually tell us about our product – read this article!



What is a rage click?

## Why do you need data filtering? {#why-do-you-need-data-filtering}

Before getting into user segmentation and segments itself, lets talk about data filtering. Data filtering allows you to expand the analytical context and quickly catch errors or problematic places on your website. Suppose your goal is to increase sales on mobile devices. In the analytical tool, you can see that: well yes, mobile traffic is hugely growing, but the sales itself seems to still be a desktop thing. Why is that? After filtering visits from phones, from various operating systems and reviewing the recordings, you will see that iOS users cannot load the cart page, and Androids are unable to fill the shipping form. Time to roll up your sleeves and fix these shortcomings. Easy-peasy, isn’t it?

In CUX, you can create custom filters at the recordings page. There are tons of possibilities – you can choose between entry and exit pages, duration, engagement on specific days and times, number of previous visits, user languages ​​and devices, and many other variables. And the best thing is – after selecting a specific filter configuration, you can save it in a Segment.

![Filtering recordings in CUX](/uploads/Screenshot_2021_02_03_at_12_08_00_1536x727_50071ab5a3.png)

_<center> To create a filter, go to "Visits" page and click "Open filters" </center>_

## User segmentation – hot or very hot? {#user-segmentation-–-hot-or-very-hot}

The point of segments is that when you already choose the filters that you need (e.g. users from Poland operating Android mobile phones), you can save this filter setting as a segment. Each segment has its own unique combination of filters and a name that will make it easier for you to find it. The great advantage of this solution is the fact that you can immediately reload the segment by entering the filter bar and clicking on the segment name – filtered data will apply at once.

![Create New Segment - cux.io](/uploads/image_3_2e3827ffcf.png)

_<center>Create a new segment in CUX</center>_

However, that’s not the only reason why you should incorporate user segmentation into your analytical routine. In addition to quick loading of filters on the visit list, each segment will also appear on your main dashboard as a widget with the number of visits that meet the filter configuration you have set (segments). By clicking on such a widget, you will be immediately transferred to the list of visits with the segment already applied – what a great way of saving time and nerves (I know that manually setting filters used to piss you off – after all, I’m researching user frustration)!

![Segments on dashboard CUX ](/uploads/Screenshot_2021_01_15_at_14_32_05_1536x578_9750532d68.png)

_<center> Creating a new segment in CUX </center>_

## Quick segments {/#quick-segments}

If playing with filters is not your level yet – do not worry! You can easily use one (or all) of the predefined segments created by our IT magicians. There are 5 ready-made segments of your data in cux:

- **Desktop** – the tool will filter the visits of only those users who visited your website on a computer,
- **Mobile** – check only those recordings of visits from mobile phones,
- **Morining traffic** – see only those visits that took place between 6:00 and 10:00,
- **Evening traffic** – see only those visits that took place between 18:00 and 22:00,
- **Engagement** – we will only show you recordings of visits that were more than 3 and lasted more than 30 seconds.


To use ready-made segments, just select the filtering option on the Visits page, under the “Create new segment” button.

## What else? Alerts, my dear! {#what-else-alerts,-my-dear!}

As I believe you know, we’ve been working on introducing smart alerting to CUX’s daily analytics for some time – the feature that will allow you to forget for a while about data, results or spikes and drops in conversion. And that’s exactly what the segments feature is equipped with now as well!

You can now turn on an alert for each segment. It is a notification that you will receive by e-mail each time the number of visits from a given segment increases or decreases drastically – by the amount you’ve set yourself.

![Alerts in segments cux.io](/uploads/image_4_1536x971_15d0b18d4c.png)
_<center> You can get alerted every time users from your segment reach a certain Goal </center>_

To set up an alert you’ll need to type its name (e.g., traffic from Polish users on iOS), e-mail address to which you want to receive notifications and the value that the segments are to reach when the notification is sent. You can choose from two options “greater than” and “lesser than” and the percentage of decrease / increase.

>At the moment, alerts are available only to users with early access. Would you like to implement alerts to your project? [Ask us about the possibility](mailto:team@cux.io)!

Working with data segments does not only save time spent on manual, unassisted filtering of results. It’s also a way of introducing a faster and more precise approach to finding bottlenecks and places causing users’ frustration on your site or product. [Try them out now](https://app.cux.io/register) and see how they can boost your business analytics overnight.

[![CUX-drop-a-line-1.png](/uploads/CUX_drop_a_line_1_b4edf5d744.png)](mailto:team@cux.io)

Want to harvest the freshest analytical crops? Sign up for the [cux.io](https://cux.io/) nourishing [newsletter](https://cux.io/newsletter/)! Be careful! We may grow on you! 🥑 😉


User-segmentation.png

You probably work with filters in your daily – or less frequent – analytics. You check the results of website traffic coming.

You probably work with filters in your daily – or less frequent – analytics. You check the results of website traffic coming from Uruguay, conversion on iOS phones or form filling via consoles. The world of filtered data can be fascinating, but the world of user segmentation can be much more enjoyable.

User segmentation, or how to make your analytics effortless

## Heatmap, what it is? {#heatmap-,-what-it-is}
[Let’s get back to basics](https://cux.io/knowledge-base/what-is-a-heatmap-and-what-does-it-tell-me/). What are those mysterious heatmaps and how they’re helping your analytics reach the next level? A heatmap is a graphic representation of users’ most significant actions on your pages. Every single activity – like a click or mouse move, scroll, chaotic movement – adds to the hotness of a given area, and any recorded move makes the area even hotter.

![Heatmap cux.io](/uploads/Screenshot_2020_10_21_at_12_24_34_700x405_77228884bf.png)

_<center> Heatmap from e-commerce store </center>_

Those high activity places are marked in warm colours, red being the big city, and those with fewer users’ movement are shown as cold – blue representing quiet village life. Every colourless place is the spot which skips the user’s attention and is not causing any action. 

## Why should you track heatmaps? {#why-should-you-track-heatmaps}
First of all, there’re times when your customers get very frustrated with your website or app, and they click somewhere a hundred times just to wreak their anger. Heatmaps come to the rescue as they help you understand when visitors love what they’re seeing, and when it’s a simple “NOPE, THANK YOU”. [This is a goldmine of insights](https://cux.io/blog/4-ways-to-increase-conversion-with-heatmaps/) on your way to understanding user preferences and behavior.

Moreover, heatmaps can show you the most valuable things that happen on your website like places where people click and where they cannot click – even if they were supposed to. You’ll see click on things that aren’t links and rage clicks. When read correctly those little colourful stains can point you to some broken links on your site or even identify missed opportunities to have links (dead clicks). 

In your analytical routine, heatmap should mean a quick overview which helps to formulate hypotheses for further analysis.  While choosing a heatmap tool, always pay attention to the methodology (what does it exactly visualize, how many events are needed to get a meaningful heatmap), possibility of filtering by a date range and focusing not only on single URLs. “Why?” – you may ask?

![Heatmap cux.io](/uploads/HM_1_700x303_44d3eae6c8.png)
_<center> Heatmap example </center>_

## The more the merrier, grouped merrier is your rescue! {#the-more-the-merrier,-grouped-merrier-is-your-rescue!}
This happens a lot: visitors land on your pages using links embedded on different sites – let’s say from your Facebook page. Each time you share a link to your site on Facebook and someone clicks the link there, they will end up on your page using your URL and a fbclid parameter. For analytics tool each of such visits looks like a visit to a different address and generates a different heatmap. That’s when grouped heatmaps come to the rescue!

![Grouped heatmaps in cux.io](/uploads/HM_4_700x314_c07f088866.jpeg)
_<center> Grouped heatmaps in cux.io </center>_

By using CUX you can group them to see an overview heatmap enabling you to see the same page shown to visitors using different entry points. Even though you’re able to view them as regular heatmaps, the hot and cold areas will be shown for more than one page. Isn’t that grand!?

Note that this magic, however, only applies to pages with the same layout! 

## Layout is important, but only smart {layout-is-important,-but-only-smart}
Our websites very often consist of very similar pages, most of them based on a similar template – their layout and object placement stay the same. The only difference between them are images and the actual content. In an online store, these may be, for example, product pages or shopping cart views. If you want to check how effective the layouts are, grouped heatmap will definitely help you do that.

## ROAS is one thing, but campaign analysis is a different story {#roas-is-one-thing,-but-campaign-analysis-is-a-different-story}
Thanks to the usage of grouped heatmaps, you can easily collect all visits to the website from a given paid campaign in one place – you owe it to the possibility of filtering by a parameter of a given campaign, e.g. fbclid or gclid (from Google).

On the other hand, when you work on various campaigns simultaneously directing user traffic to different pages – e.g. on behalf of a marketing agency – you can also filter the results of your grouped heatmaps by specific date ranges (including using historical data).

![Heatmap filtered by date](/uploads/Heatmap_date_1_700x329_59f393d902.png)

_<center> Heatmaps filtered by dates (even using historical data) </center>_

Grouped heatmaps – looking like regular heatmaps with the same controls and settings, and data aggregated from several pages – not only help you overcome technical constraints, but also add a very different and more specific angle to your observations.

[![CUX-drop-a-line-1.png](/uploads/CUX_drop_a_line_1_b4edf5d744.png)](mailto:team@cux.io)

Want to harvest the freshest analytical crops? Sign up for the [cux.io](https://cux.io/) nourishing [newsletter](https://cux.io/newsletter/)! Be careful! We may grow on you! 😉

Grouped-heatmaps.png

Seeing places on your website that are specifically disturbing for your user can in fact save you a lot – not only analytical trouble but also your high CRO.

Seeing places on your website that are specifically disturbing for your user can in fact save you a lot – not only analytical trouble but also your high conversion rates. Heatmaps are aimed to point you to exactly those places and if you group them – they’ll make wonders out of your data. 

Why grouped heatmaps are the only thing you’re missing?

![Create and analyze event based conversion](/uploads/pic1_3_2fec45fb0f.png)

Most probably, when it comes to conversion funnels, everything has already been said. But yet in the era of ubiquitous pop-ups, animations and hoovers, analyzing conversions based only on URLs is simply insufficient. There is also growing dissonance on the market between the implementation of complex analyses using artificial intelligence, machine learning and so-called _half-baked analytics_ (that will implement anything that’s currently trendy). 

## How to find real customer problems? {#how-to-find-real-customer-problems}

So how do we detect actual customer problems, and more importantly, how do we draw the right conclusions for our business? The answer is comprehensive conversion analysis, based on events and user visits. Sounds complicated? Well, it’s not. 

The most popular and widespread way of measuring conversion used to be analysis based on URLs (because not everyone can afford to script each potential event on the page). However, let’s face the truth – neither single numbers (indicators) nor qualitative analysis of sessions alone will give us the full picture, or provide specific, ready to implement solutions. [Conversion Waterfalls](https://cux.io/blog/conversion-waterfall-the-new-quality-of-measuring-the-conversion-rate/) come to the rescue here.

![Conversion Waterfall cux.io](/uploads/f3_6f6d246a5d.jpeg)

## What is Conversion Waterfall? {#what-is-conversion-waterfall}

They are nothing but extended conversion funnels that allow you to measure what has been missing so far, between page reloads – button clicks, user behavior while filling out forms, opening or closing all kinds of context windows. True, such conversion measurement has been possible for a while now, even with Google Analytics. 

However, it used to require a lot of IT engagement, development and technical knowledge. The challenge of implementing analytics based on “small data” is to use solutions that are mindful about the methodology. In the case of [Conversion Waterfalls](https://cux.io/features/conversion-waterfalls/), the auto-capture function (the event’s self-capture by the application) replaces IT and allows the analyst to provide the application with access paths to the elements and set the funnel.

## An event based conversion analysis {#an-event-based-conversion-analysis}

Based on individual events, we can build very extensive funnels that take into consideration all types of events that our customer encounters along the way to buy. You think: This is great! I get accurate information on where users drop out, I know what drops we are dealing with and how this relates to the remaining steps on the path. 

However, even such an accurate analysis will not provide us with solutions and will not bring the answer to the most important questions.  E.g. why are we seeing a drop of users at this specific point? Therefore, in the case of Waterfall Conversion, this is not the end of the process. When such a “why?” question appears, by using Waterfalls we can immediately see what exactly happened to the user and why he did not perform the desired action.

## How to analyze an event based conversion? {#how-to-analyze-an-event-based-conversion}

Based on the observations of sometimes even several recordings, it will become clear whether the users did not notice the button, the description of the field raised their doubts, something (e.g. pop-up) appeared on their screen, which distracted their attention or something else caused the fact that they didn’t move to the next step on the path. 

[Visit recordings](https://cux.io/features/visit-recordings/) analyses are the easiest way to find ready to be applied, quick wins almost immediately. The implementation of this solution allows you to improve your conversion results on a day to day basis. 

Imagine a situation, where you start a marketing campaign that should generate a significant number of new baskets, but after the first day, you realize that sales instead of growing – drop. You check your campaign – everything works as it should. You move on to analyzing what clients’ paths looked like for this campaign. To your surprise, the browser did not keep the page’s cookies, so, as a consequence, the customers got a different offer on the landing page and a different one in the basket. Next step? You are able to react properly, without waiting for the end of the campaign and save a significant portion of your budget.

With this approach, remember that all Waterfall analytics is retroactive, so you don’t have to be sure from the beginning what you want to research and set data collection for a specific scenario. You can always change the perspective or context if a new hypothesis appears based on user behavior. All you need to do is simply set up a new Waterfall saying: I check, **I don’t guess**!

![Keep calm and analyze your data](/uploads/keep_calm_and_analyze_your_data_1500_1500_black_white_700x607_8b8380d428.jpeg)

[![CUX-drop-a-line-1.png](/uploads/CUX_drop_a_line_1_b4edf5d744.png)](mailto:team@cux.io)

And if you would like to receive newest information from [cux.io](https://cux.io/) about our product, sign up for [the CUX newsletter](https://cux.io/newsletter/).

How-to-create-analyze-event-based-conversion.png

Have you ever wondered if your analytical tools setup will allow you to draw the right conclusions for your business?

Have you ever wondered if your analytical tools setup will allow you to draw the right conclusions for your business? Have you ever looked at a bunch of data sets and had no idea what it means? Don’t worry, you’re not alone. These are frequent dilemmas, and ever since the development of digital products has been unstoppable, the various analytics products that are available on the market are just trying to keep up.

How to create and analyze event-based conversion?

## What is Conversion Waterfall? {#what-is-conversion-waterfall}

[Conversion Waterfalls](https://cux.io/features/conversion-waterfalls/) allow you to analyze every single action (event) no matter if it is click, scroll, input fill or form submit. We can say for sure, it is the most powerful feature of CUX. Our goal was to build something simple but deeply advanced at the same time. And we did it.  Till now, you needed developer involved, now you have it in CUX for DIY 🙂

To make this whole process easier for you, we’ve prepared a guide to walk you through the feature, you’ll find some important tips below based on our experience. Let’s start it and be one step further than your competitors.

## How to configure Conversion Waterfall step by step? {#how-to-configure-conversion-waterfall-step-by-step}

### 1. Create a new Waterfall

![Create waterfall CUX](/uploads/waterfall_conversion_1_2_8267da79cf.png)

As the conversion may be measured in many different ways be sure you know what is the goal for the specific waterfall, e.g. form submits, sales, new account registration etc. You can write it down as a _Description_ to be sure what are you looking on, in case you’ll have few similar waterfalls.

![Add waterfall CUX](/uploads/waterfall_conversion_2_1_15e4c23871.png)

### 2. Define and add the steps

![Add waterfall steps CUX](/uploads/waterfall_conversion_3_4d08e1bc18.png)

Doesn’t matter if you want to add just a few steps or track how users fill out the long form on your website.

#### a) type a name

![waterfall name CUX](/uploads/waterfall_conversion_4_e3159f6fe7.png)

#### b) choose an event

![event waterfall CUX](/uploads/waterfall_conversion_5_4e22ae6d96.png)

### What are the events?

#### About the traffic –measure conversion based on where users come from or what pages/subpages they load

- **page load** – till now you probably used only URL based conversion funnel. Page load is all about it – it shows how many times the specific URL address was loaded. As a value type the whole URL or just a unique part of it.

- **referrer** – allows you to track users incoming from a specific address (e.g. social media, search engine etc.). As a value type the whole URL or just a unique part of it.


#### About the pointer – measure conversion based on action users takes on your websites

- **click** – allows you to point specific elements (buttons, links, pictures etc.) users click to aim the goal on your website. As a value type XPath of the specific element.
 

>_TIP: If you’ve never done it before go to your website click right on the element and choose “Inspect”. In the console, you’ll find HTML code. Find class or id parameter and copy/paste value to XPath field. CUX will in a moment suggest you the right element._

![Inspect page](/uploads/waterfall_conversion_6_e2f06561e0.png)

- **scroll** – allows you to track users who scrolled your website by specific, more/less than the number of pixels. As a value type preferred number of pixels

#### About the forms – measure conversion based on filling out forms

- **focus in** – user clicked or tabbed through the form. As a value type XPath of this specific field.
- **changed** – user typed something or changed the value of form field. As a value type XPath of this specific field.
- **focus out** – user As a value type XPath of this specific field.
- **submit** – user submitted your form. As a value type XPath of this specific field.


>_**IMPORTANT** may not work if you have any opt-ins or captcha to click. To be sure that form was successfully submitted as a next form step ad the page load – URL with form submission confirmation screen_

**Other** – custom event you can send to us based on the specific business model


Repeat it for every step you want to add.

### 3. You’ve created the waterfall!
As soon as you add all the steps you’re all set! The waterfall will be recalculated in a real-time, so be aware that the results can change every few minutes, depends on the traffic on your website. Thanks to that you’re able to see the results of possible changes applied immediately.

![Conversion Waterfall CUX](/uploads/waterfall_conversion_7_e49d8fa2fd.png)

## How to analyze Conversion Waterfalls? {#how-to-analyze-conversion-waterfalls}
On the waterfall chart, you’ll see the percentage of users who have made to the next step and finally who achieved the goal you mean by conversion. Before you used [cux.io](https://cux.io/) that will be it, you’ll have to find the solutions for the drop out by yourself. But thankfully we’re here and you can go deeper with the analysis by clicking on this small (View) link on each step.

![Conversion Waterfall cux.io](/uploads/waterfall_conversion_8_1_eacad9f262.png)

As soon as you click there you’ll be redirected to the filtered list of visits during which users drop out. Just watch a few of them, look for the pattern and the reason for the drop will come out.  

![Visit recording cux.io](/uploads/waterfall_conversion_9_bc2f72b132.png)

Now you probably have your quick win to improve this step of user journey and the UX in general! 

![we're welcome](/uploads/giphy_19_6bab4b6d3f.gif)




Conversion waterfall measuring the conversion rate

Conversion-waterfall-measuring-conversion-rate.png

Users don’t consume content linear way. Users are chaotic and really often not rational. 

Users don’t consume content linear way. Users are chaotic and really often not rational. On the other hand, we have pop-ups, animations, and hovers era and checking conversion rate based only on URLs is simply incomplete.