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12 UX Tips to Improve & Increase Conversion Rate (CVR)



Good User Experience means a user-friendly interface that ensures that the user reaches their final goal on a website/app or a system with ease. Each little element, however minor, when placed on an interface comes together and plays a role in converting the users. Together all these elements own the user experience of the product.

Following are 12 UX tips that help in improving user experience and further increase conversion rate.

1. CTA (Call To Action) Button Design & Placement

Where you place your call to action greatly influences your customers’ UX. If CTAs are hard to see, read or click, then that has a negative impact on UX and conversions. The goal of many pages is to sell something-whether products, subscriptions, or signups. CTAs are integral to conversions and so is their placement.

There’s a lot of fuss around the internet about the significance of colour when it comes to influencing buyer’s behaviour. It’s commonly believed that green CTA buttons are more effective than red ones because green is usually perceived as ‘go’ and red as ‘stop’. Although there is some truth to this, a brand’s colour scheme definitely influences perception, but when it comes to conversion, colour doesn’t matter as much. What really matters is contrast and visibility.

CTA copy is a vital element of conversion optimization. Companies often forget to pay attention to what their CTA headlines and buttons say. How many times have you seen a button at the bottom of a page that simply says “Submit”? While this may be appropriate in some circumstances, CTA buttons and headlines provide a massive opportunity to increase conversion through a great copy.

Headlines that are particularly effective tend to include words that elicit emotion, create a sense of urgency and demonstrate scarcity. Why? Because a CTA written in this way will make your on-the-fence users (often a majority of your total users) most likely to pull the trigger and convert. When it comes to providing a quality user experience to visitors, call-to-action (CTA) buttons play a major role. Conversion, engagement, business, revenue, and profits of your business solely depend on the call-to-action button you provide throughout your website.

CTA along with specific colours can be a game-changer. Studies prove that CTA buttons with orange, red and green colours are more likely to be clicked by the visitors.

2. Quick Page Load Time

Today, more than ever, site speed is one of the most crucial determining factors in whether your UX is up to par or not.

Sites that are noticeably slower suffer from conversion losses compared to sites that are blazingly fast.

How do you know what’s fast enough, though? A classic study conducted in 2009 by content delivery network provider Akamai and Forrester revealed that 40% of consumers refuse to wait longer than three seconds for a page to render before they abandon the site. If your site takes three-and-a-half or four seconds to load, then poof. Your leads vanish along with your conversions.

A much newer study done in 2016 by DoubleClick by Google confirmed these earlier findings. When it comes to mobile, if pages take longer than three seconds to load, then 53% of mobile site visits are abandoned. Like mentioned earlier, you just have 3-5 seconds to impress a visitor. But if your website takes 10 seconds to load, then obviously, the customer would get frustrated waiting and look for some other site (mostly your competitors).

So, to give a great user experience to your visitors, it’s essential to have a well-optimized website.

3. Use High Quality & Original Photos

Images instantly lift up any webpage and make the content visually appealing. But, the type of your chosen image can make the overall design of the page appear good or bad.

It’s best to stick to this rule - Stay away from stock photos. While it is cheap and extremely easy to use stock photos it does more harm than good.

Stock images might look professional, but, within no time the users would be able to identify stock images and lose interest.

Original photos draw more visitors as they have a realistic approach to them and the user connects with them. Whereas stock images are overused and don’t create an appeal.

One more thing to be kept in mind is that using stock photos sends across a message that you have not invested much effort in designing the website. Also, it doesn’t look unique as they might have already seen it somewhere else.

So, always use authentic images, no matter how basic and simple they might look. Remember to stay away from stock photos

4. Content (Text) Visibility & Optimization

Consider the reality that your leads and visitors don’t actually read much of the copy on your site. According to UX Myths, people usually just skim site content. With short attention spans, it’s crucial that whatever little content they read is actually easy to read and interpret. If your copy isn’t comprehensible enough, they won’t know what to do.

What if I tell you white space or negative space of your website helps you to achieve a great website design. Yes, that’s true! In spite of being one of the most important aspects of website design, it’s still so underrated.

According to research, white space around text and titles increase user attention and provides a better user experience. White spaces make your content more legible and easy to navigate. However, you need to balance the use of white spaces with important information. It is proven that White Space increases click-through rates, as it allows the viewers to read/scan any data on a web page without the background clutter.

Therefore, keeping adequate ‘White Space’ on a website actually generates more leads and improves a merchant site’s conversion rate.

5. Easy and clear steps to check-out

Easy and clear steps to check-out

There’s a lot of debate among CROs on whether single-page or multi-page checkouts are better to convert. The truth is that there is no absolute answer to this question. In some cases, a single-page checkout process works well. In others, a multi-page checkout will do better.

For E-Commerce, it’s mandatory to reduce the steps of the checkout process. Most retailers, however, stick to a multi-page checkout process and never even try to experiment with a single-page alternative.

6. Guest Login works wonders

Guest Login Works Wonders

Your customers today are wary of sharing their private information with your site. They may like your products enough to buy them, but only a few of them would want to create an account and start a relationship with you. Yet, so many e-commerce stores continue to push mandatory sign-ups onto users. This has a disastrous impact on conversion rates since customers would rather skip buying altogether than deal with newsletters, promotional offers, and upsells.

Create a user account automatically when they make a purchase, assign a random password and send the information with the order receipt in their mailbox. Even if users choose not to register, you still want them to buy your products or services.

So do not force a sign-up on the checkout page.

7. Right duration of Animation or Transition

Animation draws the attention of users and it can control where they focus. This is great as long as the user is focusing on the right thing.

Animation at a wrong place and at wrong speed, becomes a distraction front the content. 

When elements change their state or position, the duration of the animation should be slow enough to give users the possibility to notice the change, but at the same time quick enough to not cause waiting.

Among the moving objects of the same size, the first one to stop should be the object that has passed the shortest distance. Small objects in comparison with large objects should be moving slower since they make bigger offsets.

8. Avoid Bouncing and Motion blur effect in Animation

Animation is important because it enables us to tell stories and communicate emotions and ideas in a unique, easy-to-perceived way that both small children and adults can understand. Animation has helped to connect people throughout the world in a way that sometimes writing and live-action films cannot.

When objects collide, the energy of collision must be evenly distributed between them according to physical laws. So, it’s better to exclude the bounce effect. Use it only in exceptional cases when it makes sense.

The movement of the objects should be clear and sharp so do not use motion blur. It is difficult to reproduce the effect even on modern mobile devices and it’s not used in interface animation at all.

9. Use Easing effect instead of linear for animation

Easing helps to make the movement of the object more natural. For the animation to not look mechanical and artificial, the object should move with some acceleration or deceleration - just like all live objects in the physical world

Animation with easing looks more natural compared to the linear one.

10. Proper navigation throughout the site (Sitemap)

A recent online survey revealed that improving a website’s navigation may increase the conversion rate by 18.5%. Your website may stand out amidst the crowd of thousands of other merchant sites catering to similar services/products. However, you may lose a large number of potential clients if they experience difficulty navigating through your website and leave the site.

If your visitors are unable to use the website and navigate around to find what they are looking for; you lose the game and that’s a big NO.

Clean and simple navigation makes it easy for users to quickly locate what they need. So, here’s the idea: Think of what customers would look for on your site most frequently. Then make them visible. When potential customers look for something on your site but find it difficult to locate, they would be frustrated and would go away, probably straight to your competitor’s site.

11. Have Consistent colour palettes according to the branding.

If you’re designing a landing page or any page, you need to restrict your colour palette according to your brand. Too many colours can create a distraction and your user won’t know where to focus and give their attention.

When you limit your colour choice to just one or two but make use of their respective shades and hues, you’ll be able to create a design that is more balanced. As we said, colours are like emotions. Too many colours on a page and you’re going to overwhelm anybody who visits your website.

A good tip, stolen from the world of interior design, is to use the 60-30-10 rule. 60% is your main colour, 30% is your secondary colour and 10% is your accent colour.

It isn’t always the case that your UI colour has to align with the brand identity but it’s a good way to promote consistency in the UX design and improve overall recognizability.

12. Create Autocomplete and Search suggestion functionality

Create Autocomplete and Search suggestion functionality

As users type, does your site search give them drop-down or autocomplete suggestions? These techniques can help your users find relevant search terms as well as reducing the time and key-strokes needed to execute a search. Users love it when the tasks they have to perform are made easier.

Autocomplete search allows users to click on suggestions and be taken directly to search results, thus decreasing the time needed to search.

The instant feedback given by autocompleting can help improve the overall user experience on the site, leading users to find what they need and convert faster.

By producing the keyword suggestions that are known to produce relevant results, the autocomplete feature considerably expands the likelihood of successful searches on the first try.

The Insider’s Guide to using User Experience to Increase Engagement with GA

User Experience is one of the main elements that differentiate you from your competitors, both physically and virtually. To increase your conversion rates you might need to completely change your UX. The question is: Where do you even start? How do you pinpoint what your users and prospects want? 

It’s pretty easy to make excuses and say you know what users want without any research or investigation. You have to be a learner, humble and smart enough to draw conclusions through data analytics for a better customer experience. Let’s start at the bottom - Google Analytics. This blog post will help you extract insightful, actionable data. 

After reading this post you’ll be able to see each component and extract data from the same. 

The four basic analytics components that will help you work on your UX are:

  • Bounce Rate
  • User Behaviour
  • A/B Test
  • Customer Surveys

Bounce Rate

In simple terms, the bounce rate is when a user lands on your website and leaves it without interacting with the page. 

Having a bounce rate of over 70 percent is something you don’t want. That’s like 70 out of 100 visitors didn’t find the info they were looking for so they exited the page. You need to check your web pages for the following issues:

Navigation Issues

Website navigation is like a funnel. It should be properly organized and grouped. Ideal navigation would be something that a user can predict. Having complicated and unorganized navigation will only create confusion with your website visitors. 

The best way to find out issues with the navigation is to see if users are clicking on each item. If they aren’t, consider dropping some items or think about restructuring it all together. 

User Behaviour

Whenever someone visits your website and does something, it’s called user behavior. It includes the journey within the pages of your website, and the actions they take through form submissions and link clicks among others. 

Analytics helps you understand the user behavior of your website in a much better way than just guessing. With user behavior metric you’ll know which part of the page is the users interacting with, what forms are being used consistently, are there any pages people don’t even care to visit? Optimizing your website after knowing the user’s behavior will help you increase engagement and convert your prospects in a much faster and better way.  

Your Visitors 

User Journey will enable you to see the bounce ratio, drop-offs, and exit pages, enabling you to improve user experience. If you see a high bounce rate on your service or product page you need to re-think your page design and content. On the other hand, if you see a few people visiting those pages, you might have some issues with previous pages leading to that page. 

Acquiring new users and converting them might sound cool but converting the returning users is of a much higher value as well as a low hanging fruit as well… They’re deeper inside your sales funnel as they know your website, content, and services. New visitors are just getting started on your website. Lower the returning visitor session higher are the issues with your website UX. 

Time Spent on Website by Users

Time is another important thing to look at. It’s important to understand how much time a user spends on your website and pages. A user spending more time on a page might be a positive sign. The word might here indicates the possibility of users getting confused or having no clue what to do next. Your users should be able to predict the next steps. If they aren’t, maybe, they didn’t find the information they’re looking for. If you see this happening, take action immediately. 

What should you do?

Make sure all your links and CTA’s are working. Also, make sure the page with a high bounce rate has a uniform UI design and a right CTA in place. Use heat maps in Google Analytics to make sure users are viewing the complete page and taking relevant actions. 

Red areas represent more clicks, while blue indicates less. If the users are moving too quickly around the page there might be missing information or image on the page. Check the interaction, time spent on the page and content you have above the fold. Change it and use A/B test to measure results

Customer Surveys

Customer Surveys are a great way to get specific answers from your end-users. It helps you optimize the UX based on real feedback. If you have a high bounce rate on one page more than another, asking your end users a specific question might help. 

Let’s say you have created a web interface following the standards of the industry. But possibly that design is not working for your audience. In this case, observing the heat map analysis might be of no use, but reaching out to your users would definitely help. 

For instance, the red color might not work in the western world while in Asian countries it might be one of the strongest colors to follow. Every company conducts surveys when they update their designs or launch a new product. This helps them serve their end-users better in terms of design and content. 

A/B Testing

Analytics helps you pinpoint the lagging parts of your website. Now, you need to create a design strategy to address those issues. Start by making a list of elements to be redesigned. A/B testing is a strategy you use when you want to apply those changes to the pages of your website. Making all the changes at once is a bad idea. Instead, we would recommend you to first change the fold section and alter the CTA design. You can always start with pages that see high engagement but also have a high bounce rate.  

Your new design will become the part ‘B’ or the variant of your original design. You can then set up an A/B test on your website or app and send some users to the new design. Then measure what works well.   

The best way to measure is to compare both the variants & basis your experiment goal - which is to increase engagement in this case, then obviously the one with better engagement and lower bounce rate is the winner.

An ideal A/B test would involve 

  1. Identifying the flow & creating a hypothesis
  2. Creating a new design based on the hypothesis
  3. Run the experiment to measure engagement and bounce rates
  4. Repeat the strategy until you get a result with expected figures.

The Bottomline is…

Analytics can help you understand your end-users in a better way. You can always trace the parts that are causing issues via website interaction, bounce rates, engagement, among others. Fixing these issues will enable you to improve engagement and conversion rates on your platform. 

Get an audit of your Google Analytics today!

 

Predict User’s Return Visit within a day part-2

Welcome to the second part of the series on predicting user’s revisit to the website. In my earlier blog Logistic Regression with R, I discussed what is logistic regression. In the first part of the series, we applied logistic regression to available data set. The problem statement there was whether a user will return in the next 24 hours or not. The model is built and till now it was showing us 88% accuracy in predicting user’s revisit.

In this post, I’d try to showcase ways to improve this accuracy and take it to the next level. This is more about technical optimization so  if you are a business reader you may want to skip and check how can you use this for your benefit. But, if you are techwiz or Data modeling guy like me, let’s get rolling.

As I have discussed in blog Improving Bounce Rate prediction Model for Google Analytics Data, the first step of the model improvement is variable selection and the second step is outlier detection (If you want to know more details of steps, refer mentioned blog). Let’s apply these steps one by one.

Variable selection

I have used stepwise backward selection method for variable selection. R code for the stepwise backward selection method is as below.

>Model_1 <- glm(revisit ~ DaySinceLastVisit + visitCount +f.medium +f.landingPagePath +f.exitPagepath+pageDepth, data=data ,family = binomial("logit"))
>library(MASS)
>stepAIC(Model_1, direction="backward")
Output
Start:  AIC=2119.37
revisit ~ DaySinceLastVisit + visitCount + f.medium + f.landingPagePath +  f.exitPagepath + pageDepth

                     Df Deviance    AIC
- f.exitPagepath    152   1732.4 1966.4
- f.landingPagePath  87   1751.0 2115.0
                    1581.4 2119.4
- pageDepth           1   1583.4 2119.4
- f.medium           11   1656.5 2172.5
- visitCount          1   1740.1 2276.1
- DaySinceLastVisit   1   1826.4 2362.4

Step:  AIC=1966.42
revisit ~ DaySinceLastVisit + visitCount + f.medium + f.landingPagePath + pageDepth

                     Df Deviance    AIC
                    1732.4 1966.4
- pageDepth           1   1738.9 1970.9
- f.landingPagePath 101   1987.5 2019.5
- f.medium           12   1821.2 2031.2
- visitCount          1   1929.3 2161.3
- DaySinceLastVisit   1   1978.4 2210.4

Before we understand the output, let me explain how the variables are selected in stepwise backward selection? In the stepwise backward selection method, AIC is used as the selection criterion. General rule is lower the AIC, best the model(i.e. For a group of variables, if AIC decrease by removing any variable(s) from group,then remaining variables are used in the model. This process continues until AIC stops decreasing). From the output, we can see that AIC is decreased and variable exitPageapath is excluded from the model. Now, we will create new model(Model_2 ) which does not include exitPageapath. R code for new model is as below.

>Model_2<-glm(revisit ~ DaySinceLastVisit + visitCount +f.medium +f.landingPagePath +pageDepth, data=data,family = binomial("logit"))

After generating the new model ,let’s check the accuracy of the new model and it is as below.

>predicted_revisit<- round(predict(Model_2,in_d,type="response"))
>confusion_matrix<- ftable(revisit, predicted_revisit)
>accuracy<- sum(diag(confusion_matrix))/2555*100
Output
86.57534

From the output, we can see that accuracy of the new model is decreased. This does not seem good to us. Variable selection method did not help us in improving the model. Let’s try second step for model improvement which is outlier detection.

Outlier detection

As we know that data set contains some unreliable observations which make model’s quality poor. We always need to detect outlier and remove them. For numerical variables, outliers can  be removed by observing the histogram of  frequency distribution of the values of each variable (Process is described in blog Improving Bounce Rate Prediction Model for Google Analytics Data). In our data set, there are three numerical variables named visitCount, daySinceLastVisit and pageDepth. I have generated new data set after removing outliers. Let’s create new model based on new data set and check the accuracy of the new model. R code for new model is as below.

>Model_3 <- glm(revisit ~ DaySinceLastVisit + visitCount +f.medium +f.landingPagePath +f.exitPagepath+pageDepth, data=data_outlier_removed ,family = binomial("logit"))

Now, we will check the accuracy of the new model and it is as below.

>predicted_revisit <- round(predict(Model_3,in_d,type="response"))
>confusion_matrix <- ftable(revisit, predicted_revisit)
>accuracy <- sum(diag(confusion_matrix))/2292*100
Output
98.42932

From the result, we can see that model has more accuracy than previous models (Model_1 and Model_2) and it is good for us. So, removing the outliers from the data set, the model got more improvement and prediction accuracy.  For now, we can conclude that through this model (Model_3), we can predict more accurately whether a user will return to website in next 24 hours. If you want to do exercise, Click here for R code and sample data set. In the next blog, we will discuss about logistic regression with Google Prediction API, check the accuracy of the Google Prediction API for our data set and try to predict for a user that will user return to website in next 24 hours?

Would you like to understand the value of predictive analysis when applied on web analytics data to help improve your understanding relationship between different variables? We think you may like to watch our Webinar - How to perform predictive analysis on your web analytics tool data. Watch the Replay now!

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