Intelligent Design: Transform Your Website into a Sales Engine with Machine Learning

Machine learning: The phrase evokes images of computers playing chess or IBM’s Watson destroying two legendary Jeopardy! champions in a three-day tournament. The truth is, though, machine learning is no longer a novelty; it’s now an integral part of our daily lives. Every time you receive a product recommendation from Amazon, your email server weeds out spam before it reaches your inbox or you enjoy a playlist on Pandora, you’re seeing machine learning in action. In a nutshell, machine learning is the science of training computers to recognize data patterns and make adjustments automatically when those patterns change. While on the surface this may not sound very exciting, nothing could be further from the truth. In fact, machine learning is the key to transforming your website into a lean, mean selling machine.

Understanding machine learning in 100 words or less

Machine learning uses algorithms to build models from data; as more data is collected, the algorithms are “trained” to adapt to changes. There are two ways in which machine learning can be implemented: supervised and unsupervised. Supervised learning algorithms are used to create models that establish relationships between types of data — the relationship between purchase data and user clickstream data, for example. Unsupervised learning uses algorithms to gain insights into customer behaviors and preferences by looking for patterns within the data. Both of these methodologies are designed to make marketing and e-commerce more exact, more personal and more profitable.

Putting machine learning to work

Netflix, Pandora and Amazon are all familiar examples of machine learning in action. All three use recommender systems powered by complex algorithms. These systems collect data about your browsing activities, past selections and any ratings or reviews you may have provided. Then they segment you into clusters with other customers who have demonstrated similar interests or behaviors and use this data to suggest items that might appeal to you based on the browsing and purchasing habits of these other customers. You see this on Netflix as the category titled “Because you watched...” and on Amazon as “Customers who viewed this also viewed...” To gain a deeper understanding of how these algorithms work, let’s take a closer look at Amazon. To Amazon, you are a very long row of numbers in a massive table of data. Your row represents everything you’ve looked at, clicked on, purchased (or, equally as important, not purchased) or reviewed on the site. The other rows in this gargantuan table encompass the same thing for the millions of other customers who shop on Amazon. With every click, visit and purchase, more data is added to your row, which allows Amazon to constantly mold and shape the products it recommends to you and the special offers you receive based on an ever-evolving stream of information about you that is being collected and stored. Another innovative example is True Fit, a retail software start-up that is on a mission to apply data analytics to increase customer confidence in online clothing purchases while decreasing the number of returns for e-railers. Well-known fashion retailers, including Nordstrom, Macy’s and Guess, have implemented True Fit’s algorithms on their e-commerce sites. When customers shop on these sites, they’re asked to create a profile that includes their height, weight and perhaps most importantly, the size and brand of their favorite piece of clothing. Using that data, True Fit is able to recommend the correct size for a specific brand and article of clothing. Even more importantly, as customers continue to use the True Fit system, it learns more about their personal style and preferences and steers them toward purchases they’ll be more likely to keep and enjoy rather than return.

How machine learning drives smarter marketing

You don’t need the resources of major e-commerce giants like Amazon or Netflix to take advantage of machine learning to to improve your e-commerce site and your online marketing efforts. By enhancing your existing site with systems that allow you to create a virtual marketing intelligence brain, you can create a more personalized – and therefore higher quality – shopping experience for your customers. By establishing this type of marketing intelligence ecosystem, you can mine the data provided by customers every time they visit your site to answer vital questions that will help you fine-tune your site and your online marketing strategy – questions like these:

• How likely is a given website visitor to convert?
• What behaviors characterize customers who are likely to buy?
• What behaviors characterize customers who are likely not to buy?
• How can new visitors be identified as high-potential long-term customers?
• Which type of web traffic has the most value?
• Which products or services appeal most to a given segment of customers?
• Given the contents of a particular customer’s shopping cart, which additional products are high-potential recommendations?
• How can website visits be optimized to provide the best possible experience for each individual customer?

Making it personal

The final question in the list above is one that deserves special notice because of the staggering potential for using machine learning to create a more personalized shopping experience – one of the key drivers for increasing online sales. Not only can the data collected via such marketing intelligence ecosystems be used to drive recommender systems, it can also be used to create personalized advertising based on market segments — or even individual profiles — that can be distributed across a variety of desktop, mobile and social platforms. This type of advertising can be tailored to any number of personal preferences and demographic information, including age, marital status, location, lifestyle choices, typical purchases, brand preferences and so on. Ads can be focused to such a granular level that they reflect specific colors a given customer prefers, and their individual purchase drivers, such as status or cost-effectiveness. Another exciting aspect of machine learning-based personalization is the development of individual customer profiles. You can even combine online and offline customer data to create a more complete picture of a given user. Types of data included in this profile might include online and in-store purchases, membership and activity in rewards programs, product ratings and clothing sizes. Just imagine how much more powerful your marketing efforts could be if you were armed with this level of information. One of the most important aspects of a successful marketing intelligence ecosystem is how data mined from customer activities is combined with sound business rules in order to make smart recommendations that are well received by customers and that do not compromise their trust in your brand. For example, most people who walk into a supermarket like bananas and will often buy some. So shouldn’t the recommender simply recommend bananas to every customer? No – because it wouldn’t help the customer, and it wouldn’t increase banana sales. So a smart supermarket recommender would always include a rule to exclude recommending bananas. At the other end of the spectrum, the recommender shouldn’t push high-margin items just because it’s beneficial to the seller’s bottom line. It’s like going to a restaurant where the server steers you toward a particular high-dollar entree. Is it really his favorite? Or did the chef urge the staff to push the dish because it comes with a side order of premium mark-up? To build trust, the best recommender systems strive for some degree of transparency by giving customers clues as to why a particular item was recommended and letting them adjust their profile if they don’t like the recommendations they’re receiving.

Science fact, not fiction

Machine learning can give your business a serious competitive edge by opening the door new opportunities in the marketplace. It can help you personalize and improve your customer experience dramatically and thereby drive sales and revenues. Creatives and developers alike are rapidly pioneering new and innovative ways for marketers to use machine learning — and the future of marketing built on these ideas has seemingly endless possibilities.

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Requiem for the Flash Intro: Seven Dying Trends in Website Design

Thanks to the now ubiquitous #TBT (that’s “throwback Thursday” for those of you who don’t speak hashtag), every week we’re all treated to a cringe-inducing trip down memory lane that takes us on a tour of our most regrettable fashion choices, whether it’s the bad perms and acid-washed jeans we sported in the 80s, the grunge-era plaid shirts and Doc Martens of the 90s or the velour sweatsuits and Carrie Bradshaw-inspired nameplate necklaces we left behind in the early aughts. Just as in fashion, website design trends come and go. What’s popular one day is old news the next. And just as you wouldn’t wear shoulder pads and stirrup pants to a sales meeting, you don’t want your website to be an embarrassing amalgamation of passé design trends. After all, if your website looks dated, it won’t inspire confidence among prospective customers that you’re on top of your game – no matter what game it is that you’re playing. Here are seven once-popular design trends that are fading fast – and that you should purge from your website as soon as you can:

1. Flash intros

Once upon a time, everybody and their brother wanted a Flash intro to create a memorable first impression. These days, though, having a Flash intro is a recipe for disaster. First, in today’s era of mobile surfing, speed and simplicity win the day. Keep in mind, too, that Flash and iOS do not mix, so your site won’t even be accessible to users on Apple gadgets. Also, today’s visitor demands more control and fewer bells and whistles that only serve as obstacles to accomplishing their end goal.

2. Pop-over windows

As site owners became increasingly eager to turn their web presence into full-blown conversion engines, the pop-over window rose to popularity. As soon as a new visitor lands on the site, BAM! they are greeted with a request to complete a form to provide their contact information in exchange for a welcome discount offer or to follow the company on Facebook for future updates and promotions, thus giving the company all the ammunition they need to continue their engagement long after that visitor has moved on to other corners of the Web. But while these pop-overs are good for site owners (at least in theory), they are very disruptive for the user and provide roadblocks that only make it more difficult for them to accomplish what they originally came to the site to do. As a result, any value that might be gained in collecting the user’s data is quickly negated if that user has no interest in continuing their as a result of this negative first encounter. Thankfully, good UX is winning this battle, and the pop-over is falling quickly out of favor. Reality has set in that no one comes to a site for the express purpose of helping the site’s owner market to them, so it’s hardly the best way to lay a foundation for a successful long-term relationship. Instead of leading off the conversation with your survey request, Facebook follow prompt or current promotion, simply allow your visitors to dive right into the site to find the information they’re seeking or complete their desired task. Keep your mailing list sign-up and Facebook links in your site’s universal framework, and if you do your job in creating a positive experience for them, your visitors will willingly allow you to become a presence in their email inbox or their Facebook news feed all on their own. Read more: Deal-Breakers and Dead-Ends: Six Turn-Offs That Alienate Website Visitors

3. Animated billboards

Oversized, rotating slideshows have become a common fixture on home pages in recent years, largely because they provide a way to present several key messages to the visitor without requiring them to scroll or to click past the initial page. However, UX tests show that these animated presentations are not as effective as we’d like to think. While the initial message in the carousel often prompts a click, the effectiveness of subsequent messages in the loop drops dramatically because many users do not stick around to see all of the slides. Other users ignore these animated areas completely, perceiving them as banner advertisements that should be glossed over in search of more meaningful content. The billboard remains a popular design feature; however, the trend is growing toward featuring a singular strong message in this area combined with a striking visual image. Streamlining and simplifying allows this one key idea to come across loud and clear rather than being lost among a muddled array of messages that are presented indiscriminately in the hopes that one will result in the desired outcome.

4. Information overload

Continuing with the theme of reductionism, today’s most successful websites pare down the information presented on the home page in order to create a cleaner, more focused presentation. This is in stark contrast to the approach that many sites took for years, which was to stuff the home page with as much information as possible in the hopes that visitors would find whatever they might be looking for on that page without having to dig any deeper. The result is a page that is utterly lacking in direction; nothing is emphasized because everything is emphasized. In the end, instead of being guided intuitively toward the information they seek, users are driven away by an overwhelming mess of content that is not properly organized and prioritized. To avoid this pitfall, focus on only the most important information for visitors while providing easy pathways, such as search tools and user-friendly site navigation, to help them find the content that lies deeper in the site. This approach will ultimately yield a better experience for your users and therefore better results for your company.

5. Drop-down menus

For years, the drop-down menu has been the go-to solution for streamlining a site’s primary navigation options while providing easy access to secondary pages. But with the advent of touch-based devices, which do not have a hover state, drop-down menus no longer serve the needs of all users. The simple fact of the matter is that with the rapid growth of mobile Web use, you simply can’t afford to risk leaving these visitors stranded with no way to delve beyond your site’s home page. Instead, a better solution for modern websites is to feature secondary page navigation options along the top or side of the page within the relevant section of the primary navigation. Read more: 3 Simple Rules for Navigation That Will Boost Your Website’s Performance

6. Contact forms

The contact form has long been a staple of websites – so much so that it’s often used in place of providing other means of contacting a company, such as a phone number or email address. However, more and more, site owners are choosing to eliminate this form altogether in an effort to provide a more personal, service-driven experience. Instead of having a visitor’s first interaction with their company occur via a cold, faceless web form that goes to an anonymous recipient and assures no timeline for response, the company elects to provide only their phone number so that the customer’s needs can be addressed immediately and directly by a live human being. While contact forms are not likely to disappear completely anytime soon, what is going away is the practice of relying on these forms as the sole vehicle for communication with customers and prospects.

7. Third-person narratives

Your website should embody the voice and personality of your brand. As such, it simply makes no sense for the content to be written from a third-person perspective, as if it’s being read to the user by a distant omniscient narrator. Instead, writing in the first-person creates a softer, more approachable tone that puts a human face on your company. It’s the difference between saying, “At Sanford & Son Remodeling, their goal is to ensure your satisfaction.” and “At Sanford & Son Remodeling, our goal is to ensure your satisfaction.” Which one feels more authentic? More warm and personable?

Beyond keeping up with the Jonses

Remember: keeping pace with the latest trends in website design is more than skin-deep. It’s not about having more bells and whistles than your competition; it’s about providing the best experience for all users, no matter how or where they’re accessing your site. By staying ahead of the curve, you’ll ensure that your site continually evolves to meet the needs and expectations of users who are constantly adapting to new devices and technologies.

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