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Posts Tagged ‘conversion rate optimization’

Why Responsive Design Does Not Care About Your Customers

July 31st, 2014 4 comments

Responsive design, like any new technology or technique, does not necessarily increase conversion.

This is because when practicing Web optimization, you are not simply optimizing a design; you are optimizing a customer’s thought sequence. In this experiment, we discovered the impact responsive design has on friction experienced by the customer.

Background: A large news media organization trying to determine whether it should invest in responsive mobile design.

Goal: To increase free trial signups.

Research Question: Which design will generate the highest rate of free trial sign-ups across desktop, tablet and mobile platforms: responsive or unresponsive?

Test Design: A/B multifactorial split test

 

The Control: Unresponsive design

unresponsive-design

 

During an initial analysis of the control page, the MECLABS research team hypothesized that by testing a static page versus an overlay for the free trial, they would learn if visitors were more motivated with a static page as there is no clutter in the background that might cause distraction.

From this, the team also theorized that utilizing a responsive design would increase conversion as the continuity of a user-friendly experience would improve the customer experience across multiple devices.

The design for the control included a background image.

 

The Treatment: Responsive design

responsive-design

 

In the treatment, the team removed the background image to reduce distraction and implemented a responsive design to enhance user experience across all devices.

Read more…

Landing Page Optimization: Testing green marketing increases conversion 46%

June 5th, 2014 2 comments

Green marketing is a tactic built on the premise that environmental preference will hopefully equal customer preference.

But does green marketing truly have an impact on customer purchase behavior?

In today’s MarketingExperiments Blog post, we’ll take a look at an experiment that was featured in a recent Web clinic that put green marketing to the test.

Before we dive in, let’s review the research notes on the test.

Background: A mid-sized furniture company selling mattresses.

Goal: To increase the overall number of mattress purchases.

Research Question: Which credibility approach will produce the highest rate of mattress purchases?

Test Design: A/B variable cluster split test

 

Control

green-marketing-control 

During the Web clinic, the MECLABS research team explained the featured product was one of only a few mattresses that are currently GreenGuard Gold certified.

Consequently, they hypothesized the certification had little emphasis on the page design and was not communicating the full value of the certification.

 

Treatment

green-marketing-treatment

In the treatment, additional copy was added to increase the emphasis on the full value of the GreenGuard certification.

 

Results

 green-marketing-results

 

The additional GreenGuard copy increased conversion nearly 46%.

Read more…

Lead Generation: Is your registration form part of the customer journey?

June 2nd, 2014 No comments

“Too long.”

“Get rid of the phone number!”

“Can you remove the fields?”

These are common responses from marketers who attend our Web clinics on lead generation, and they are all excellent suggestions for optimizing lead generation forms.

But what if you’re one of the marketers in an organization where changes to your lead gen form would be an act just shy of declaring war on your sales team?

In this MarketingExperiments Blog post, I want to share the results of a recent experiment presented by Austin McCraw, Ben Huppertz and Ben Filip, all of MECLABS, in which one company generated more leads without significantly reducing the number of fields.

 

Background: A large news syndication company.

Goal: To increase the overall number of leads on a “Request More Information” form.

Research Question: Which form design will result in the highest number of new member sign-ups?

Test Design: A/B split test

 

Control

form-test-control

 

In the Web clinic, Austin explained the control page featured 11 form fields in total with 10 required. The page also had left sidebar navigation followed by three additional calls-to-action at the bottom.

 

Treatment A

form-test-treatment

 

Treatment A added four more form fields for a total of 15 fields (nine required) and eliminated both the navigation and additional CTAs at the bottom of the page. It also added a customer testimonial on the right.

 

Treatment B

form-test-treatment2

For Treatment B, the form fields were reduced to 10 fields (all required).

Read more…

Analytics: How metrics can help your inner marketing detective

March 17th, 2014 No comments

Why are there so many different metrics for the same component of a website? For example, page views, visits, unique visitors and instances, just to name a few. Which metrics should you use? Are all of these metrics really helpful?

Well, they exist because these metrics are tracked differently and yield different interpretations.

However, much more knowledge can be gained by analyzing these metrics with respect to one another combined with usage of segments, or characteristics of users.

For example, if we look at the metrics for page views on your site with respect to number of visits between two browsers, such as Chrome versus Firefox, and then discover that Chrome users actually have more page views per visit on average than Firefox users.

That could indicate that the customers using Firefox may be of a different demographic with a different level of motivation compared to Chrome users. Or, it could also mean that the site functionality or user experience on Chrome could be different than Firefox. For example, I know on my own computer, Chrome displays website content in a smaller font than Firefox.

In today’s blog post, learn how just these two metrics combined together can put you in a detective mindset.

 

Don’t just investigate what customers do, investigate where they go

There are plenty of great free and paid analytics tools out there to help you investigate customer behavior, but for the sake of this example, I’m going to talk specifically about Adobe’s analytics tool.

An interesting advanced feature in the platform allows you to set custom tracking on link clicks on a page that when combined with other metrics, could reveal great findings.

For example, let’s say you have a call-to-action that takes a visitor to the cart. By using custom tracking, you can track how many visitors interact with the CTA on the page and compare that to the next page flow.

If you see a significantly higher number of visitors clicking the CTA, but not as many cart page views on the next page report, it could mean that there is some technical issue preventing the visitors from going to the next page.

There could also be a lot of “accidental” or “unintentional” clicks from visitors clicking the back button before the next page even loads, which can be very common on mobile sites.

If there are significantly less visitors clicking the CTA and more cart page views on the next page flow, what would that indicate?

Perhaps people are using the forward button frequently because they came back to the page after they have seen the cart.

  Read more…

Conversion Rate Optimization: Why is split testing so powerful?

February 13th, 2014 4 comments

Imagine if you could split test your life.

Essentially, you would never be faced with a conundrum again. You could choose to both send your daughter to the state school and the Ivy League college.

You could marry your high school sweetheart and that special someone you just met.

You could buy the Prius and the Tesla.

Then, you wait and you measure.

You would finally determine empirically which decision is best.

Of course, you can’t A/B test your life. That’s why there are 7,139 books in Amazon’s decision-making and problem solving category.

 

Don’t guess about your customers – know

But you, as a marketer, can split test. If you don’t know which subject line or headline will work, try them both and let the customer decide.

You can use Web optimization to make the best decisions:

  • Make some assumptions based on what you’ve learned about your customers
  • Use those assumptions to create treatments that test different hypotheses about the customer
  • Split your audience with an equal amount of similar customers being exposed to each treatment
  • Review and validate the results
  • Determine what can be learned about the customer and use that knowledge to repeat the process, becoming a little wiser each time

This process can add “thousands and thousands of dollars” in monthly revenue, as it did for Cars.com.

Web optimization can increase referrals and membership renewals, as it did for AARP.

 

What have you been able to do with Web optimization? Let us shine a light on your efforts.

Perhaps you’ve already discovered the power of split testing.

Of learning instead of guessing. Of experimenting instead of assuming.

You’ve discovered that experimenting and learning easily replace assumptions and guesswork about your customers.

If so, we’d like to hear your story even if the rest of your company has yet to catch up.

Others overlooking the power of this evidence-based technique is what frustrates many successful optimizers.

The good news is there’s a place where marketers can come together and learn what works in website optimization from each other. That place is Web Optimization Summit.

 

This year’s Summit will be in New York City in May. If you have a story, we’d love to hear it. I encourage you to fill out the speaker application and share what you’ve learned with other marketers.

 

You may also like

Customer Theory: What do you blame when prospects do not buy? [More from the blogs]

Customer Theory: How we learned from a previous test to drive a 40% increase in CTR [More from the blogs]

The Web as a Living Laboratory: The Three Most Important Discoveries from Over a Decade of Experimentation [Video]

Customer Theory: What do you blame when prospects do not buy?

February 10th, 2014 No comments

The effort and money that you’re investing in your marketing is predicated on one thing – that you understand your customer.

What good is a print ad, an email or a marketing automation investment if it doesn’t deliver a message that alleviates a customer pain point or helps a customer achieve a goal? They won’t act if the message doesn’t hit them square between the eyes.

Let me give you an example of faulty customer theory. Uber, a mobile car hailing service, is coming to Jacksonville. I recently received a push poll phone call clearly supported by the frightened taxi industry.

The main message seemed to be that Uber is cheaper because it uses unregulated (and, therefore, unsafe) drivers.

 

How often are you delighted by cab drivers?

What struck me was how far off their customer theory was from my actual wants and needs. I, for example, chose to take the BART from the airport to the hotel for Lead Gen Summit 2013 – not because it was cheaper (MECLABS was paying the bill either way, so it was free for me), but because riding in a cab is a miserable experience.

Plus, I’m putting my life in the hands of someone who will cut across three lanes of rush hour traffic with no turn signal to drop a passenger off 45 seconds quicker. Goodbye, safety argument.

The reason Uber, Lyft and other car hailing mobile apps are gaining traction is because they’ve found a way to create a better customer experience. Think about it. When was the last time you were delighted by a cab ride? In fairness, there was one time for me in Los Angeles. A kind driver gave me a quick tour of Bel Air during what limited free time I had on a business trip.

Here’s why the taxi industry struggles to realize the true threat.

 

We will tend to blame external rather than internal reasons when customers don’t buy

You put in so much time marketing your company and your clients that it becomes difficult to see the flaws customers see with unbiased eyes.

This is why A/B testing can be so valuable.

Actually forming hypotheses, testing these hypotheses in real situations with real customers, and then building a customer theory over time that informs everyone in your company about what customers really want is essential.

When you have your customer theory right, marketing can focus on clearly communicating how it can fulfill customers’ needs and wants.

 

Discover what customers want

Of course, A/B testing is only one way to gain customer intelligence. So to gain a perspective beyond my own, I asked Lindsay Bayuk, Senior Product Marketing Manager, Infusionsoft, for her perspective.

“Understanding what your customers want starts with understanding the problem they are trying to solve. First, define who your best customers are and then ask them about their challenges. Next, ask them why they love you,” Lindsay said.

Lindsay said some great ways to collect both quantitative and qualitative data on your target customers include:

  • Surveys
  • Interviews
  • A/B tests (see, I was telling you)
  • Sales calls
  • Feedback loops

The email registration process is another opportunity for learning more about your customers.

Ali Swerdlow, Vice President, Channel Sales & Marketing, LeadSpend, added, “Preference centers are a great way to gather data about your customers. Then, use that data to segment your list and message different groups accordingly.”

Read more…