Choosing the Best Pop-Up Design for Your Goals



If you’re ready to grow your email list then a pop-up on your website is a must-have. Getting started
designing a pop-up may be a bit daunting, though. There are so many things to cover: Do you include an incentive? What design do you choose?

Allow me to help! I’ve picked out a few pop-up designs that I love and hope that my thoughts will help you choose the best pop-up design for your goals.

Keep it light and airy



This traditional lightbox-style pop-up is very simple and clean while still maintaining the look and feel of the brand. Using CSS transitions, it slides onto the homepage about three seconds after you’ve arrived. Using the angled photo, this pop-up adds visual interest while drawing a literal line down to the widest (and most important) part of the form: the email input box. This subtle but effective direction to the input plus the free shipping note in light blue really makes me want to enter my email and click that “send” button. 

Tip: If your website content is more central to the browser window, this design is a great option for you.



Be big and bold


Another sibling in the pop-up family is the full-screen. In order to really grab your user’s attention, these pop-ups completely hide the website behind them. While designing these, it’s important to maintain the look and feel of your brand just in case your customer forgets what website they’re on (hey, it happens!). This one in particular does this perfectly. The background color is the brand’s gorgeous green, and they even took it a step further and included the logo at the top of the form. This way the user always knows what site they’re on.

Another element I like about this pop-up is the offer used to entice the customer to sign up. Not only is the offer large and distinct in the headline, but it's also reiterated in the call-to-action button. Another bonus element I enjoyed: the pretty cool JavaScript counter directly under the button! I don’t see those too often in pop-ups so that really stood out.

Tip: If your website content is stretched across the whole screen, this design would fit seamlessly.


Try clean and subtle


Here we have the simplest pop-up of the bunch: the banner. These are great because they aren’t in your face or pushy; they’re simply there for you whenever you decide you’d like to subscribe. This means a first-time visitor to your website is given the chance to browse around and then make the decision if your brand interests them to sign up for your newsletters.

These pop-ups don’t usually have imagery and since they’re so small, the copy is kept to a bare minimum. In this example in particular, the black background really made this stand out on an otherwise very colorful website. This example does include a close button, but also adds a clever “don’t miss out!” headline right in front of it to play into all your FOMO fears. 

Tip: Looking for a softer, subtler sell? This pop-up is perfect for you!

Which pop-up design speaks to you? Let us know in the comments!




Elsie Compton
Graphic Designer

Listrak Receives World-Class Net Promoter Score® of 80

According to a 2016 Nielsen study, the vast-majority (more than 80%) of Americans seek recommendations when making a purchase of any kind. What our friends, colleagues and neighbors think truly matters, even when it comes to business decisions.

One standard industry rating, known as the Net Promoter Score® or NPS®, offers an easy way to gauge how your customers truly feel about you. It boils down to one simple question: Would you recommend this product or service to a friend? Listrak recently surveyed clients to see how satisfied they are with Listrak solutions and services and the results were quite revealing.


The results showed that Listrak’s Net Promoter Score came back as an 80 -what NPS considers “world-class.” 
To give you some background, the Net Promoter Score (NPS) ranks a customer’s willingness to recommend a product or service to others on a scale of 0 to 10, with 10 being extremely likely to recommend and 0 being not likely at all to recommend. Respondents are then divided into three categories: Promoters (9 or 10); Passive (7 or 8); and Detractors (6 and below).



According to product and NPS specialists, Net Promoter Score is recognized as a key performance indicator. Any score above 50 is excellent, while anything above 70 is deemed “world class.”

As Customer Marketing Manager with Listrak, my main focus is and always will be customer awareness and satisfaction. How do our customers feel about us? Are they content? Do they know enough about our products? So, when Listrak decided to use this ever-telling question in a recent survey focused on satisfaction, I was ecstatic when more than 31% of our active clients responded. This, compared to the average 10-15% response rate for external surveys according to SurveyGizmo.com.


The satisfaction survey also included an open-ended question asking customers what one thing Listrak could do to improve its Client Services team, followed by sentiment questions asking respondents to rate their Account Manager from 1-10 on qualities that included their responsiveness, product knowledge, knowledge of client business, and overall satisfaction. The average rating for Client Services personnel yielded a 9.4.

“One of our core values at Listrak is Customers come first in everything we do.” says Carly Povilaitis, VP of Client Services. “It’s a commitment that we live by as an organization and is at the foundation of who we are and what we do. Our Client Services team is dedicated to providing top quality service and support to all of our customers. The results from this survey illustrate we are delivering on this promise.”

So, what is to be done with this information? For me, it’s going to be to take a step back, take a deep breath and say, “thank you” to our valuable clients. And, also to take a look at those who didn’t rate us as highly, because they did so for a reason (so I’ve learned) and there’s much room for improvement to be had. A recommendation, to me, is the utmost achievement and in order to continue to receive them you’ve got to always strive to satisfy your clients in new and innovative ways. And most importantly, listen closely to what they’ve got to say.



Lauren Eisenhauer
Customer Marketing Manager

Artificial Intelligence, Machine Learning and Predictive Analytics

I’ve been with Listrak over 17 years, from the very early days of digital marketing. In that time, I’ve seen it all and done it all - from a technology and marketing perspective.

The recent surge of terms, such as artificial intelligence, machine learning and predictive analytics, on the popular scene has me interested. And I’ve heard a lot of questions - do people talking about it truly understand what it is? Are companies in Silicon Valley realizing the dreams and nightmares of so many science-fiction authors? Are there huge teams of PhDs using supercomputers?

The answer to all of these questions is the same: not really.

I wanted to explore what these terms really mean, how they exist in marketing today and how humans can support the usefulness of AI.

First, we should define the terms:
  • Artificial Intelligence (AI) is any device that perceives its environment and takes actions that maximize its chance of success at some goal. In a word, it’s path-finding. The most obvious example of AI is GPS navigation. The system takes a series of inputs and a data set of possibilities, then determines the best route to your destination. Apps like Waze have taken this to another level by incorporating traffic, hazards and accidents as reported by users. This allows the AI to choose better routes that avoid slowdown and get the driver to their destination quicker.
  • Machine Learning (ML) is the ability of computers to learn without being explicitly programmed. To borrow the words of the T-800, “My CPU is a neural-net processor; a learning computer.” A neural net is one application of machine learning, which is a sub-discipline and therefore a potential component of AI. A good example of ML in everyday life is the Nest Thermostat. You see, using sensors and feedback, it learns when to heat or cool or hibernate. More advanced applications would include things like IBM’s Watson ability to learn sentiment and pun usage on Jeopardy or advanced visual recognition of self-driving cars to collect data and feedback. This can then be used to better understand scenarios it is likely to encounter on the road in the future.
  • Predictive Analytics is simply a grouping of statistical techniques that pull from predictive modeling, machine learning and data mining to make predictions about future or otherwise unknown events. If last year’s reports are business intelligence, next year’s projections are predictive analytics. Predictive analytics has varying degrees of complexity, from simple to very advanced models and algorithms used to predict outcomes. A common example of predictive analytics are the models used by meteorologists to forecast weather based on patterns in data around pressure, temperature and relative humidity. Another more current example that everyone should be familiar with are Amazon’s product recommendations. They are using data gathered from your (and millions of others’) past behavior to predict what you are likely to purchase next.

Listrak has developed several applications of these technologies in products, including




The good news is that none of these programs will enslave the human race (we think). Usage of things like a random forest helps Listrak identify hundreds of millions of product recommendation candidates every single day. Natural language processing to identify likely keywords across a library of blog articles allows us to better provide relevant content to your readers and shoppers.

Predictive analytics are a key component to several of our solutions like: replenishment, send time optimization and propensity-to-buy modeling for our LifeCycle Grid.

What does the future hold for AI at Listrak? Humans. Wait, what? Yes, humans are a crucial component to artificial intelligence although it feels very counterintuitive to say so. You may have heard of the freestyle chess tournament incepted by grandmaster, Gary Kasparov. In it, two amateur men with 3 laptops beat the entire field to win the championship. Supervised learning and training data sets present algorithms with much needed human support to kick off the potential of an AI application. Personalization is going to get a lot more intelligent as we incorporate neural networks alongside a feedback loop to make great recommendations from the start rather than waiting for the system to learn. Simply stated, humans and computers working together will be able to achieve results not possible by either alone.

Stay tuned for more on artificial intelligence and applications in marketing here on the Listrak blog as well as in our product release notes. We predict that you’ll be very interested in what is coming next.

 



Mike Hartman
Sr. Director, Product Strategy