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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The Gathering: Social Marketing, Old School

The brave new world of Web 2.0 offers a wide array of platforms that allow businesses to connect virtually with the people who want what they’ve got. But long before the advent of the Social Web – before anyone had ever heard of Twitter, Meetup, Craigslist or Facebook – social marketing flourished. From Tupperware parties to trade shows, whether in living rooms or convention halls across America, people came together in gatherings to connect with products, sellers and other customers like themselves all at once. And while today’s culture of hyper-connectivity has dealt much of traditional marketing a fatal blow, the gathering has stood the test of time. In fact, social technology has given new life to the gathering. No longer confined to fixed time slots or venues, the content and conversations of events now live on in perpetuity through social media, event-specific websites and online video. It’s important to make sure that gatherings have a place in your marketing arsenal.This relationship works in the other direction as well. As communities form around common interests on the Web, real-world gatherings are a natural extension of members’ online interactions. Like a handwritten note in the age of e-mail, the face-to-face connection has become a rarefied, premium experience in a time when virtual connectivity is always only a finger-swipe away. For these reasons, it’s important to make sure that gatherings have a place in your marketing arsenal and that you’re investing time in engaging with your tribe of followers offline as well as online.

"Ideas worth spreading"

A recent gathering I attended began like a bad joke: an artist, an engineer and a socialite walk into an auditorium. This time, however, there was no punch line. Instead, I was participating in a TED event, and the room was electric with the pre-show buzz of right and left brains, liberals and conservatives, vegans and slow-food carnivores wearing “I ♥ Meat” t-shirts. For decades the famed TEDTalks have brought together artists, angel investors, designers, doctorates, engineers, entrepreneurs, communicators and community leaders, all in pursuit of one common passion: “ideas worth spreading.” With its famously short talks (25 minutes or less), TED is a petri dish for innovation, and most followers would sever their right arm to attend the invitation-only conference in Long Beach, California. Historically, the group met in druid-like seclusion. But with the ascension of new leadership came a new vision: world-changing ideas should actually be shared with the world. The arrival of online video gave TED a second, virtual life, and in the early 2000s, TED.com began offering free access to full-length videos of its proceedings. For years, TEDophiles like myself have gobbled up this content online while dreaming of experiencing it in person. Fortunately for us, the masterminds behind TED realized that ordinary people everywhere have ideas that could change the world, or at least their local communities. So in 2009, TEDx Events were born, with TED lending its name, brand collateral and mission to independently planned and executed local gatherings. In December 2010 alone, 165 TEDx Events were held in 54 countries. I myself became an official TEDster on September 24 at the inaugural TEDxCharlotte, right in my hometown. A dream came true as I sat with hippies and hipsters for one glorious day of ideas worth spreading. As TEDizens like me have discovered, it is the gathering itself that is the holy grail, not just the content and information. The conversations and connections that can be sparked when people meet and share experiences in the real world are deeper and longer-lasting than those that are confined to tweets, Facebook wall posts or even forum message boards.

Gathering your tribe

TED is a shining example of the value of creating opportunities for people to meet and interact with others who share their interests. Identify the commonalities that unite your tribe.However, you don’t need their massive, worldwide following to harness the power of the gathering to grow your business. You just need to identify the commonalities that unite your tribe and orchestrate an event that taps into their shared passions and provides an outlet for engagement. Remember that those who would make the effort to spend time and energy with you are your champions. They are people who believe in – or at least are interested in – your product, service or company enough to bother. You don’t have to dazzle them. But you do have to show up, make authentic connections and give them something of value for their effort. The end result? They will love and trust you more. In order to ensure the success of your gathering, here are some key points to keep in mind:

Bigger isn’t necessarily better

Often, the slicker and more carefully controlled the interaction, the less special the event can feel. Instead, just keep it simple. Invite a handful of your best customers or, if the invitation is open to all, limit registration. This will foster an atmosphere of intimacy and privilege for those in attendance. Most importantly, don’t use the event as a ruse to assemble your followers for a sales pitch. Be genuine and focus on delivering something of real value.

Show what you know

If you’re a service provider, your customers routinely pay for your knowledge and experience. Play to your strengths by hosting an educational gathering related to your area of expertise. For example, a lawyer could offer a free estate planning workshop to recent retirees or present a seminar for small business owners about the implications of recent health care legislation. The payoff for this type of effort is a group of prospective clients who believe in your credibility as a knowledgeable resource and trust in you more than your competitors.

Break out of your box

Perhaps people associate your business with a particular line of services or products even though your catalog is actually much more diverse. A gathering is a great opportunity to shed some light on your less well-known areas of expertise. For instance, a pest control specialist might know as much about protecting garden vegetables from aphids as floor joists from termites. A lecture to the local garden club could open a new niche market hidden from competitors’ view. Likewise, an interior decorator could offer working moms a workshop about organizing with style, thereby becoming the savior of the super-busy.

The power of privilege

Treat your best customers (the ones you or your staff know by name) to a special appreciation event. Give away products and thank them sincerely for being so faithful to you. They will love your company all the more and become even more vocal evangelists for your brand.

Party like it’s $19.99

If your brand or your products already have a fan base, give those fans an excuse to get together and have a good time – all under the banner of your brand. You’re throwing the party. They’re your fans. The conversation will inevitably lead back to you. You don’t have to force it. Think gallery crawls, wine tastings or product launch parties.

For the love of rewards

Oh to be in the audience the day Oprah gives everyone a new car. Most days, though, you’re at least going home with a free book. When you host an event, reward the effort people make to attend by giving away products to those who show up. Better yet, give more products to people who bring others with them. In doing so, you’re not only giving them a no-risk way to experience your product or service, but you’re incentivizing them to spread the word to others as well.

Use the Web to promote your gathering

If you want a large event, invite all your Twitter followers. If a smaller gathering of your best customers is what you’re after, send direct messages to only the most active or influential among them. You can even turn your event into a contest by challenging your Facebook fans to share why they love your products in order to win a place on the guest list. You’ll not only have an instant list of eager attendees, you’ll also reap some great testimonials for later use.

Transcend time and space

When your event is over, share pictures or video online to demonstrate the good time had by all and the value those who attended received. For example, if your event was instructional in nature, offer a recap of the tips that were covered or access to video of a presentation delivered at the event. Get people talking about your event and keep them talking. The important thing is to get people talking about your event and keep them talking – and sharing, and linking to, and blogging, and status updating and tweeting – about what wonderful people you and your staff are and how much value they find in your product, service or expertise.

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