How to Improve User Experience for More Conversions

Reducing User Friction through UI/UX Improvement on Form Flows and Shopping Result

Optimization is a keyword very much used in the digital space. Everything is measurable on the internet, which facilitates the creation of enhancement processes to improve user experience, yield, revenue, margins, and quality. All these points will directly influence the business’s bottom line.

If you want to increase that bottom line, build an optimization pipeline, prioritize actions, and always strive to incrementally improve conversions and engagement.

How to Build a Pipeline of Optimizations

Identify Potential Issues

Before building your optimization strategy, you’ll need to follow three critical steps to identify the problems you are trying to solve. It seems an obvious statement, but it’s not a simple exercise. That’s why breaking down your issues into different boxes can help you build a systematic problem-solving approach in your organization.

  • Identify your business digital goals and barriers. Start by defining a significant goal, such as increase form completion rate and then dissect it by adding the obstacles, such as: (1) my form is too long with many steps (generates too much friction), (2) the engagement with my landing page varies in function of the traffic source, (3) the step-by-step drop-off rate is too high on pages/questions that request personal information (user trust issue). Once this is done, you’ll have sub-problems that are easier to address and tackle
  • Mine your data to help you detect issues that haven’t been recognized yet. An analytical approach can support your problem definition process by pointing quantitively where engagement is weak and where you are losing your users. The data will also help you prioritize issues that must be solved first given the high impact on your results.
  • Map all touchpoints that generate friction either caused by high time-consuming or user irritation to complete actions on your site; thus, you must use technology to help you find solutions that facilitate the user’s journey. Simple plug-ins for autofill or usage of Facebook/Google log in are good examples, as well as integrations with any 3rd party data. For instance, if you have a home improvement company and need details regarding a property to budget a project, you can get integrate your site to look up via home address all required information like square feet, the number of beds and bathrooms, and type of property. The same ideas can be applied for vehicle information lookup only by asking VIN to pull information and decrease user friction.

Define Your Roadmap

Your next step now is to prioritize the issues you’ll need to work on and build a roadmap taking into consideration the complexity of the project (creative, development and QA) and the potential impact of your incremental and strategic initiatives. Have a good balance between your initiatives and use agile methodology to manage your pipeline more efficiently and effectively.

Roadmap Execution

Finally, the fun part: idealization, and execution. Break this final step into six actions, and some of them can happen concomitantly:

  • Competitive analysis: check what your competitors are doing, see how they handle similar problems that you have identified on your digital product, and strive for an even better implementation. Build a table with all your top competitors and identify how they addressed solutions for common problems.
  • Consumer survey: surveying your audience will help calibrate and validate your hypothesis, and you’ll be able to collect people’s opinions and behaviors that can be used in decision-making. One piece of advice on how you’ll build it – if it’s not a focus group, avoid open questions that are hard to make a table out of it; make direct questions and offer options for users to select or rank.
  • Leverage your creative team: if you have an internal creative agency at your company, involve them in the ideation and solution of problems you have mapped before. Designers have a good understanding of usability and user experience and can strongly contribute.
  • Build hypothesis: this is the best way to make sure you know why you are testing, what’s being changed, and what you can expect as an outcome. The test will prove if your hypothesis was right or wrong and that’s why it must be a statement. Use three magical words to help you “by”, “I believe” and “because.” Here’s an example: By switching CTA copy from “Apply’ to “Continue,” I believe users will feel less intimidated to click because the word “Continue” brings a feeling of less commitment and may result in increasing click-through on the button.
  • KPI definition: the primary KPI should come from the hypothesis you’ve built. That’s what will guide the analysis and decision-making. It must be quantifiable over a particular time for a specific objective. You’ll probably need to consider some secondary KPIs that will change in function of your primary one and will help you determine which variable was most affected. For example, with the CTA test (Appy vs. Continue), if your users still need to complete another action on the step ahead, you’ll need to measure if the test does not negatively impact it, affecting the end-to-end journey.
  • Documentation: not the most fun part, but essential so you can keep track of how the tests performed and what hypotheses were tested to make your roadmap very efficient.

Ideas to Test

Now that you know how to build a more effective pipeline, let’s dive into some ideas and options for testing. We’ve been running multiple tests on our form flows and result pages (listings) in the past years. Here are eight of them for you to check:

1. Form Flow: Progress Tracker

Test Hypothesis: by changing our progress tracker to a wheel format, we believe users will have a more tangible notion of how close they are to reaching the final goal because it’s a numerical approach, leading to higher form completion.

Test Results: increase of 6% on Desktop and 4% on Mobile form completion

Landing Page: Featuring Call Outs

Test Hypothesis: by featuring different sub-products on the landing page, we believe users will better understand we can fulfill their specific needs because they are clearly outlined, leading to a lower bounce rate and thus a higher form completionprogress tracker

Test Results: decreased bounce rate by 6% on Desktop and 2% on Mobile

  • Landing Page: Featuring Call Outs

Test Hypothesis: by featuring different sub-products on the landing page, we believe users will better understand we can fulfill their specific needs because they are clearly outlined, leading to a lower bounce rate and thus a higher form completion

Test results: decreased bounce rate by 6% on Desktop and 2% on Mobile

2. Landing Page: Featuring Call Outs

Test Hypothesis: by featuring different sub-products on the landing page, we believe users will better understand we can fulfill their specific needs because they are clearly outlined, leading to a lower bounce rate and thus a higher form completion

landing page example with call outs

Test results: decreased bounce rate by 6% on Desktop and 2% on Mobile

3. Listings Results: Hover-Over Animation

Test Hypothesis: by enticing users with a lively user interface, we believe it will better grab their attention, increasing engagement and leading to a higher click-through rate

hover over animation

Test results: increased click-through rate by 3%

4. Landing Page: Sticky Banner

Test Hypothesis: by sticking “an actionable banner” when the user scrolls past the main CTA button, we believe users will be encouraged to freely scroll through the page and browse, having an easy way to start the shopping process, leading to a lower bounce rate.Sticky banner

Test Results: decreased bounce rate by 5%

5. Listings Results: Featuring Position on the Results Page

Test Hypothesis: by featuring the 1st listings at the bottom of the page, we believe we’ll increase attention and click concentration to the top position because we are evidencing the recommended advertiser leading to a higher yield.

 position search results page

Test Results: increased number of clicks on top position by 4%.

6. Listings Results: Ribbons

Test Hypothesis: by adding a call out in a shape of a ribbon on the listings results, we believe users will better engage with the offer because a new visual element adds value, leading to a higher click-through rate.

Ribbons

Test Results: increased CTR by 5%-8%

7. Form Flow: Adding Tips to Guide Users Throughout the Questionnaire

Test Hypothesis: by adding a virtual advisor in each flow question, we believe users will better engage because it will be easier to understand how to answer more complex questions and their purpose, leading to a lower step drop-off rate.

Questionary

Test Results: drop-off rate reduction varied depending on step/question, ranging from 0.3%-1.2%

8. Form Flow: Combining Binary Questions

Test Hypothesis: by combining binary questions in one step, we believe usability will improve because users can repeat the same action (choose and click one out of 2 options) in sequence, leading to a lower step drop-off rate.

Binary Questions

Test Results: combined drop-off for grouped questions decreased by 50% leading to a 2.2% higher form completion

Conclusion

Building an optimization process is essential for any business with a digital presence. Some key steps must be followed to guarantee efficiency and efficacy, such as (1) identifying problems to be solved by setting your digital business goals, (2) using data and analytics to support, and (3) mapping touchpoints of friction with your audience. Once the key steps are completed, you should define your roadmap considering execution time and complexity, resourcing, and impact; these are all fundamental points to ensure the prioritization was done correctly. When it comes to execution, remember to do a thorough competitive analysis, bring your creative team in the idealization process, survey your consumers, build your hypotheses, define KPIs in function of the hypotheses, and document everything. Get inspiration from some of the tests mentioned in this article and get you’re a/b testing process in place.

Are you ready to get better results from all your digital marketing? Let the experts at CloudControlMedia help. Learn more today.

Guilherme Montanini, Director of Product Management, Monetization at QuinStreet

A/B vs. Lift Testing on Facebook: What’s the Difference?

So, you want to run some ads on Facebook. But how do you determine if the ads you run actually achieve your goals?

Quick Answer: If you see more results based on the objective you set for a campaign, you may already be doing a good job, but if you want to be sure, test.

Facebook Ad Testing

Enter Facebook ad testing—a great way to ensure that your ads hit the mark based on your objectives.

There are two general types of tests you can run on your Facebook ads to make sure you get the results you want: A/B Testing or Lift Testing. Once you finish the tests, you can use the results to see where you can make improvements to the ad campaign.

Facebook A/B Testing

How Facebook Runs A/B Tests

On Facebook, this means that your ad audience is divided into random, non-overlapping groups to reduce that impact from outside factors on your ads.

What can you test with A/B testing?

You can run similar variations of an ad to see which works better. For instance, you can switch up the ad’s imagery, use the same copy, and use the same call to action (CTA). Then, review the results to see which ad “won.”

It is crucial to keep in mind here that you should only change ONE variable for testing. Remember way back when you changed one thing in high school chemistry, and well, sometimes fire happened? Yes, we’re looking for that spark in your ads. Run the ads for a short period of time (a week is good) and see what results shake out.

How Can You Tell Which Ad Won?

The winning ad set is determined by the Cost Per Result (CPR) based on your campaign objective. If your objective is link clicks to the landing page you have specified, you would look to see which ad had a lower cost per result regarding clicks or cost-per-click (CPC).

Facebook Lift Testing

How Facebook Runs Lift Tests

On Facebook, a lift test compares the actions of people who have seen your ads vs. those who have not to determine if ads generate the desired outcome. A lift test should be used when your goal is to measure brand recognition and conversion from brand recognition. The more “lift,” the more effective your ads are.

There are two types of lift:

1) Brand lift: Brand lift measures and assesses incremental brand awareness through polls and questionnaires. If you have ever come across a simple survey in your Facebook news feed that asks if you remember seeing a specific ad for a particular brand in your news feed, chances are you were selected to be a part of a brand’s lift test (lucky you)!

2) Conversion lift: Conversion lift is defined as incremental conversions assessed through user actions gathered from a website or app using standard and custom events. It compares additional business (online, offline, or on an app) driven by advertising on Facebook across Facebook, Instagram, and Facebook’s Audience Network across devices. By making this comparison, you can get a bigger picture look at ad performance (*Note: You must install a Facebook Pixel on your site or have the SDK in place for in-app events.) “Events” are actions that happen on your website or app. They can be actions such as adding payment information at checkout, adding an item to a cart, completing an event registration, scheduling an appointment, etc. Facebook provides a list of predefined, standard events that you can choose from.

An example of conversion lift would be when someone sees your ad on Instagram but does not click or take any action to complete a purchase on your website. Then, that same person ends up visiting a website that is a part of Facebook’s Audience Network. Now, that same person sees the ad again and actually clicks on the ad. That same person is now directed to your landing page and, voila, they make a purchase. To see if there is lift attributed to seeing the ad across the Facebook Audience Network, we look at the difference in people just making a purchase versus people who see the ad and then make a purchase.

Say, during a typical business day, on average, only five customers visit your online store, and two complete a purchase. However, after running a conversion lift test with an ad on Facebook, you see that there are, on average, ten customers visiting the store, and now seven are making a purchase. Facebook would then attribute the conversions to the ads because they are tracked across devices. Facebook would calculate lift and provide a test confidence percentage to deem the test statistically reliable.

What is Facebook’s Confidence Percentage?

“Confidence percentage” is a term used to describe the likelihood that your ad would receive the same results if the test were to run again. A strong confidence percentage that meets or exceeds a specific benchmark deems your test statistically reliable. According to the confidence percentage, a statistically reliable test can then be said to provide the same results in a real-life scenario or if the test is rerun. If the confidence percentage is less than what is deemed successful, you would not want to run this test again and instead you would make changes to make the test more reliable and then re-run the test. Note that the more data you collect or the more people you have interacting with your ad will help increase the probability that your test results will be statistically reliable.

For an A/B test to be successful, the confidence percentage should be at least 65%. Learn more about A/B Testing on Facebook here.

For conversion lift campaigns to be deemed successful, they should receive a confidence percentage of at least 90%.

As you can imagine, running tests on Facebook is essential to making sure you are using your budget wisely to create impactful ads that get results. You can try it on your own. Or, make it easy on yourself and partner with the CloudControlMedia experts to simplify and streamline your Facebook strategy.

Lindsy Bentz

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