Increasing the size of important UI elements on your website can help draw attention to them. This is useful for call-to-actions and other important visual cues. Experimenting with visual hierarchy is a great idea for an A/B test. SplitWit makes it easy to quickly apply these kind of changes to your ecommerce website. Below explains a few of your options:
Increasing the font-size of your headlines is just a few clicks away with SplitWit. Select the text that you want to emphasize, scroll down to the font-size property, input a higher pixel value, and hit save.
Width and height
Adjusting the width and height of buttons or images can help them stand out. Click on the user interface element in visual editor to reveal a list of style properties. You can update the item’s size using pixels, percentages, or any other valid CSS measurement unit.
Adding padding to an element generates space around its content within its border. This a good option for buttons, text widgets, and other self-contained UI items. You can find the padding property in the list of style properties displayed when using the visual editor
A great idea for an A/B test is to experiment with the color of your call-to-action buttons. The right colors can generate positive emotions from your visitors and push them to take action.
SplitWit lets you change the color of buttons on your website and Shopify store. Start by clicking “Make changes” from your experiment dashboard
Next, click on the button that you want to edit in the visual editor panel. You’ll see a list of properties for the element you selected. Scroll down to “background”. Here you can type the name of a color or enter an HTML hexadecimal color code (eg. #f3f3f3).
If you click “view options” you’ll see a list of possible color values that you can choose from. Once you decide on a color, be sure to save and preview your changes.
How to choose the right color
When choosing a button color for your experiment, start with a hypothesis about why the change might increase conversions.
Often times a powerful red can evoke a response of urgency, and stimulate users to click by grabbing their attention.
Green or blue communicates feelings of security that may give visitors confidence in your call-to-action.
Generally, when experimenting with color, try to follow basic color theory principles. Colors on opposite sides of a spectrum tend to be visually pleasing. Following a color scheme can give you ideas about what options are best.
It’s free to use, and calculates the results of your A/B experiments. Just enter the number of visitors and conversions for both versions of your test. The calculator will work out conversion rates, relative uptick in conversions between the two, and will tell you if the results are statistically significant.
This tool uses the same stats engine that powers the main SplitWit service.
The best way to increase your conversion rate is through experimentation and iteration. Making small improvements continuously over time leads to the strongest results. Measuring the result of your efforts is imperative.
Getting a high number of users to complete a purchase or signup indicates that you are constantly improving. This requires a strategy to measure key performance indicators. You should be keeping track of important metrics, and watch when they improve based on changes you make.
Here are some practical tips for increasing conversion rates.
1. Run A/B split tests
Experimentation should be a constant part of your digital strategy. You should always be running tests on your website.
Start with a list of hypotheses about what could make your website perform better. Here are some ideas.
Come up with a set of metrics that will let you know if things are improving. Examples include measuring when users click on an add-to-cart button, land on a check out page, complete a purchase, or sign up for a mailing list.
Use SplitWit to create experimental changes, track key metrics, and measure results. As time goes on, you’ll continue to learn what makes your website better and will keep growing.
2. Build on top of improvements
Once your A/B split test has reached statistical significance, SplitWit determines the experiment’s effectiveness based on the metrics you set. If your hypothesis was correct, and the changes improved your conversion rate, you’ll know to make them permanent. But, that should not be the end of your A/B testing strategy.
When one experiment ends, you should get ready to launch another. Run a new test that improves upon what was learned from a previous experiment.
For example: If you found that changing the color of CTA buttons increased your click through rate, next try changing the font-style of those same buttons. As you continue to iterate, you’ll keep learning and refining what works best.
3. Revisit assumptions over time
Testing and change should be a continuous process, and part of your default strategy. To continue to increase conversion rates, spend time revisiting experiments you ran in the past. As time goes on, things may have changed with your users and the market.
Previously, one of your hypotheses may have been wrong – but now would prove true. It’s also important to re-validate the changes you made permanent, to make sure they still serve your business.
Try re-running one of your past experiments that failed in the past. Maybe now, it’ll work out. Continue to grow your learnings, build your business, and increase your conversion rate!
Are you looking to increase sales on your website? Trying to get more people to sign up? Experimenting with parts of your website can help you learn what works best. Below is a list of the best things you can try.
1. Button color
Colors can have profound psychological effects. Try changing the background-color of important buttons on your website to see if that leads to an increase in conversion rate.
2. Size of call-to-action
Bigger CTAs can be more eye-catching and will command a user’s attention. You can increase the size of a button by increasing its padding.
3. Headline text
A strong headline can push visitors to take immediate action. Telling users to act now, and using active language are effective marketing techniques. Consider the following:
Meal Plan Packages
– versus –
Signup for weekly meal plans now!
4. Button text
Buttons are an important user interface element. They call users to take important actions, like signing up or making a purchase. The words you use have a considerable impact. By experimenting with word choice, you can learn what work best for your website and user-base. SplitWit makes it easy to do this.
Pictures, icons, and other visual cues help customers have an emotional connection to your brand or product. Use SplitWit to easily add images to an experimental variation of your website.
SplitWit can help you make these experimental changes, and measure how well they perform. By continually running A/B tests on your website, you’ll keep learning and improving how to make your business grow better.
Have an idea about how to make your website better? That’s great! You should use SplitWit to test it first. It’s important to make sure that your intuition matches reality. The numbers won’t lie.
Below are the steps you’ll need to take to get started.
1. Create your experiment
Name your experiment, and set which page(s) it should target. Good experiments are specific, and test discrete UI/UX elements – such as the color of call-to-action buttons.
2. Select a variation
SplitWit allows you to edit to both the control and variation versions of your experiment. Start by choosing which you’d like to edit.
3. Make changes
Use the visual editor to make changes to your website. SplitWit lets you easily adjust text, images, and colors. It even allows for more advanced functionality, such as adding animations and custom code.
4. Add a metric
Metrics determine what an experiment will measure. You can target specific clicks or page-views. Examples include clicking on a “buy now” button or landing on an order confirmation page. This is how you can tell if your experimental changes had a positive affect on your business.
5. Start the experiment
Your experiment is created, you’ve made variation changes, and set a metric. Now, you’re ready to make the experiment live by hitting the start button. A portion of users will begin seeing the changes, and metric data will be recorded.
SplitWit will let you know when the data has reached statistical significance and determine a winner between your variations.
Statistical significance means that your experiment results are likely not due to random chance.
Any experiment seeks to prove that the results from the sample also exist in the overall population. The more visitors you have, the easier it is to disprove randomness.
Before starting an experiment, you generally have a hypothesis about what will make your website better. It might be changing text, adjusting layouts, or updating colors. SplitWit evaluates your hypothesis based on the metrics you set for visitors. Our algorithm ensures that the experiment is not considered complete until the results are statistically significant.
How does SplitWit use statistical significance?
You can check the results of a SplitWit experiment at any time. The results page tells you which version is performing better based on the metrics you have set. It also shows wether these results are statistically significant, or not.
Your experiment is not considered finished until statistical significance has been achieved. But, what does that mean?
It means there is a 95% chance that these results are real, and not due to a false positive. SplitWit uses formulas to calculate this number based on probability. This calculation gives you confidence that the changes you make to your website will positively impact your business.
A call-to-action (CTA) prompts a user to do what you want them to do. It literally calls them to take an action. A CTA is a prompt on your website that leads a user down through your conversion funnel. The action is usually one that leads to a sale or a sign-up. Its goal is to evoke an immediate response (“Call now!” or “Buy now!”).
Most often, it takes the form of an actionable UI element, such as as button. It could also take the form of actionable information, like a phone number or other contact information. Split testing your call-to-action is important, and should be done often. Experiment with color, verbiage, and placement to see what works best.
SplitWit uses CSS selectors to indicate click events for your A/B tests. SplitWit will track clicks on these elements, and use them to calculate which version of your experiment is more successful.
The SplitWit visual editor can also use CSS selectors. Enter a CSS selector in the “Make a change” section to highlight it. Alternatively, simply click on the element, and SplitWit will generate a valid CSS selector for you. The “Insert element” sections works in the same fashion.