Going the Distance: Four Ways to Build a Better Customer Loyalty Program for Your Brand

It’s easy enough for a customer to join your loyalty program, especially when you’re offering an incentive such as discounts. All your customer has to do is give out some basic information, and voila! They’re in the fold, a brand new loyalty member with your company. From there, it’s happily ever after. You offer the perks; they stand solidly by you, bringing you their continued business. Simple. Or is it? In reality, just how many of those customers are act ively participating in your loyalty program? Do you know? Sure, loyalty program memberships are on the rise according to market research company eMarketer, having jumped 25 percent in the space of just two years. However, that figure may be a bit misleading. The truth is that, while loyalty program sign-ups may be more numerous, active participation in such programs is actually in decline. At the time of the study, the average US household had memberships in 29 loyalty programs; yet consumers were only active in 12 of those. That’s just 41 percent. And even that meager figure represents a drop of 2 percentage points per year over each of the preceding four years, according to a study by loyalty-marketing research company COLLOQUY.

When discounts just aren’t enough

So what’s a brand to do? How can you make your loyalty program worth your customer’s while—as well as your own? After all, gaining a new loyalty member doesn’t mean much if your customer isn’t actively participating in your program. Consider this: Does your customer loyalty program offer members anything different from what your competitors are offering? Chances are your program includes discounts. That’s a given. And what customer doesn’t appreciate a good discount? But when every other company out there is providing this staple benefit in comparable amounts, it becomes less and less likely that customers will remain loyal to any one particular brand. Frankly, it’s all too easy for customers to get lost in a sea of loyalty member discounts. They’re everywhere. In fact, just under half of internet users perceive that all rewards programs are alike, according to a 2015 eMarketer survey. The key to success, then, is to differentiate your business from the crowd. If you can offer your customers something unique and valuable beyond the usual discount, chances are they’ll be more likely to stick with your brand. Here’s some inspiration from companies who get it.

Virgin: Reward more purchases with more benefits.

That’s not to say you need to get rid of discounts entirely. In fact, nothing could be further from the truth. Customers still love a good discount. The goal is to be creative in terms of the loyalty perks you offer. Take the Virgin Atlantic Flying Club, for example. As part of its loyalty program, the airline allows members to earn miles and tier points. Members are inducted at the Club Red tier, from which they can move up to Club Silver and then Club Gold. Here, it’s not just a discount. It’s status. And people respond to feeling important, elite. Still, even where the rewards themselves are concerned, Virgin is motivating loyalty customers with some pretty attractive offers. At the Club Red tier, members earn flight miles and receive discounts on rental cars, airport parking, hotels and holiday flights. But as members rise in tiers, they get even more. At the Club Silver tier, members earn 50 percent more points on flights, access to expedited check-in, and priority standby seating. And once they reach the top, Club Gold members receive double miles, priority boarding and access to exclusive clubhouses where they can get a drink or a massage before their flight. Now that’s some serious incentive to keep coming back for more. Discounts are still part of the equation – but they are designed with innovation and personal value in mind, elevating them to more than just savings.

Amazon Prime: Pay upfront and become a VIP.

What if your customers only had to pay a one-time upfront fee to get a year’s worth of substantial benefits? It may not sound like the smartest business idea at first glance. But take a closer look. Amazon Prime users pay a nominal $99 a year to gain free, two-day shipping on millions of products with no minimum purchase. And that’s just one benefit of going Prime. It’s true that Amazon loses $1-2 billion a year on Prime. This comes as no surprise given the incredible value the program offers. But get this: Amazon makes up for its losses in markedly higher transaction frequency. Specifically, Prime members spend an average of $1,500 a year on Amazon.com, compared with $625 spent by non-Prime users, a ccording to a 2015 report from Consumer Intelligence Research Partners.

Patagonia: Cater to customer values.

Sometimes, the draw for consumers isn’t saving money or getting a great deal. The eco-friendly outdoor clothing company Patagonia figured this out back in 2011, when it partnered with eBay to launch its Common Threads Initiative: a program that allows customers to resell their used Patagonia clothing via the company’s website. Why is this program important to customers? And how does it benefit Patagonia? The company’s brand embraces environmental and social responsibility, so it was only fitting that they create a platform for essentially recycling old clothing rather than merely throwing it away. The Common Threads Initiative helps Patagonia build a memorable brand and fierce loyalty by offering its customers a cause that aligns with deep personal values. OK, so their customers get to make a little money, too. Everybody wins.

American Airlines: Gamify your loyalty program.

If you’re going to offer your customers a loyalty program, why not make it f un? After all, engagement is key to building a strong relationship with your customer. And what better way to achieve that goal than making a game of it. American Airlines had this very thing in mind when it created its AAdvantage Passport Challenge following its merger with USAirways. The goal: find a new way to engage customers as big changes were underway. Using a custom Facebook application, American Airlines created a virtual passport to increase brand awareness while offering members a chance to earn bonus points. Customers earned these rewards through a variety of game-like activities, from answering trivia questions to tracking travel through a personalized dashboard. In the end, participants earned more than 70 percent more stamps than expected – and the airline saw a ROI of more than 500 percent. The takeaway: people like games.

Stand out from the crowd.

Your approach to your customer loyalty program should align with your overall marketing approach. Effective branding is about standing out, not blending it. Being memorable is key. To this end, keep in mind that loyalty programs are no longer a novelty. That means that yesterday’s strategies won’t work moving forward, so look for ways to rise above the noise, setting yourself apart from the cloying drone of countless other cookie-cutter programs.

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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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More Than Meets the Eye: Engaging Website Visitors with a Sensory-Rich Experience

We experience the world through our five senses – sight, sound, touch, smell and taste. The more of our senses that an experience engages, the richer and more memorable that experience is likely to be. Visit a nice restaurant, and you’ll see how that establishment works deliberately to engage all five of your senses. The food will, of course, entice your senses of taste and smell, but its presentation on the plate will also play to your sense of sight – as will the lighting and décor. Consider as well the music being played and the feeling of the fabrics and textures on your chair and table: what kind of sensory response do these things elicit? All of these elements work together in synchronicity to define your experience at this restaurant. When it comes to website design, we have traditionally focused our attention on only one of the senses – sight. While sound comes into play on occasion, it is the sense of sight that we tend to think about first and foremost, as websites have long been considered a visual medium, similar to printed content like books, magazine or newspapers. However, one of the most powerful aspects of the Web is the fact that we can, indeed, engage more of the senses than we can with a paper document. With the benefit of today’s technologies and looking ahead to what the future may hold, we see that we can begin creating experiences that stimulate multiple senses to immerse visitors more deeply in our sites, thereby creating more lasting, memorable impressions. Let’s take a look at how we can use our websites to create sensory-rich experiences and how recent advancements in technology are unleashing new possibilities for how we can engage with our users through the Web.

Sight

Let’s start with the primary sense that has long been associated with websites – sight. Yes, the look of a website is important, and its design is meant to captivate a visitor’s sense of sight. But exactly how we use the tools of visual design leaves a lot of room for creative experimentation and variety. Many sites today employ movement and animation in their designs, whether it’s a rotating carousel of images on the home page, buttons that change color or size when a user hovers over them or embedded video. Amazon’s recently announced Fire phone takes the way that a screen can engage our sense of sight to the next level with a feature called “Dynamic Perspective.” This feature allows users to interface with the content on the screen by tilting the phone in different directions. A simple move of the wrist allows access to shortcuts, opens navigation menus or scrolls the page. This technology has the potential to immerse users more deeply into digital environments with a unique perspective that allows them to look under, behind or around elements on the screen. Currently, these perspective features are being utilized as part of the phone’s native operating system and by a few select apps, but how long before other devices introduce similar features and web designs begin creating pages that can take advantage of different perspectives and dimensions? If movement and animation can attract a user’s attention and engage them through their sense of sight, just think about what this dynamic perspective may be able to bring us in the future.

Sound

Today, the most common way that websites engage a visitor’s sense of sound is through video content. The ability to involve multiple senses in a single experience is a powerful thing, and video content is a perfect example of this principal in practice. By combining visual and audio, video content can accomplish important objectives on a website, whether that’s explaining a complex concept or showcasing product features, While videos are a great example of how sound can be used effectively to enhance the user’s experience, there’s also a dark side to sound on the Web, which, if used improperly, can undermine your site’s success. Just as in the restaurant example we cited previously, background music or sound on a website can help to create atmosphere and mood, but if that sound is too loud, inappropriate or obnoxious, the tone it sets will be a very negative one. Soundtracks on websites, a feature that was popular years ago when many companies wanted immersive Flash-based sites, often backfire. Visitors who may be listening to music as they surf the Web, or those who do not want a website to suddenly begin blaring music at them (perhaps because they are at work or in some other environment where being surprised by audio will be an unwelcome experience) are likely to be annoyed if they get audio content that they did not want or need. Unlike the audio associated with a video that helps engage the user, audio added to create “atmosphere” is rarely used effectively, and you should be very cautious if you decide to go this route. For all audio content on your site, whether it’s part of a video or some kind of music or background sounds, be sure to allow visitors to initiate that audio on their own, and do not surprise them with it. The shock of their sense of sound being engaged unexpectedly is what you want to avoid!

Touch

Touchscreens have been available for many years now, but until the release of the iPod and iPhone, they were not widely used in consumer devices. Today, touchscreens are everywhere. Not only do we all carry around touch-driven smartphones and tablets, but touchscreens are now readily available for laptops and even desktop computers, too. With the rise in the adoption of touchscreens comes the ability to engage our visitors’ sense of touch, allowing them to interface with our site in a more physical way as opposed to only through mouse clicks. This ability to touch our sites allows us to connect with our audience in a literal sense. While most sites or applications currently focus on gestures and movements to scroll pages or access features and content, there are also organizations working on tactile touchscreens that can make interfacing with screens a completely different experience. Looking again at the new Amazon Fire phone and their Dynamic Perspective feature, I can only imagine how powerful an experience we could create by combining that technology with actual tactile sensations on the screen as people interface with our content. Talk about being pulled into a digital environment!

Smell

You wouldn’t think that the sense of smell could possibly come into play on a website, but emerging technologies hint that this may soon become reality. Harvard scientists recently transferred a scent from Paris to New York using an iPhone app (the smell they sent was “champagne and passion fruit macaroon” – yum!). They did this using a platform called the oPhone, a new technology from a company that is “working to bring olfactory wonder to mobile messaging.” Yes, they can actually send smells. The future is here. While this particular technology, which includes more than 3,000 scents, requires the use of specific oPhone hardware, the fact that innovators are actively advancing the possibilities for integrating the sense of smell into the digital world prompts us to think about the kind of fully immersive sensory experiences that might lie just over the horizon. For example, what if a restaurant could transmit the scents of their food as you peruse their website’s menu page. Or what if you were shopping for scented candles online, and you could actually smell each product just as if you were standing in a brick-and-mortar retail store? What if you could take a video tour of a bakery, see the products as they’re being made, hear about how they’re created and smell the delicious aromas of cakes and cookies baking in the oven – engaging sight, sound and smell all at once. Sound unbelievable? It may not be as far off as you think.

Taste

What about the sense of taste? Will we one day be able to transmit tastes through our websites? It sounds crazy, but then again, the ability to project a smell online seems equally implausible until you hear the story of the oPhone. Who knows, maybe one day soon we will not only be able to send the aroma of a freshly baked cookie but also allow customers to sample a taste of that cookie as well. Again, it sounds incredible, but almost all technological advancements seem like wishful thinking until someone figures out how to make it happen.

Looking ahead

Who knows what the future holds, but I for one am excited to see how we will be able to expand our ability to engage our website visitors’ senses to create more powerful – and certainly more memorable – user experiences.

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