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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Fantastic Four: Blockbuster Secrets from the Marvel Marketing Machine

Recently, a trailer for the upcoming movie “Avengers: Age of Ultron” was leaked online. Marvel, acknowledging that the trailer was out there, decided to release their official version of the trailer a short time later. Twenty-four hours after the leak first hit the Web, the official trailer had already racked up 34.3 million views on YouTube! Marvel has what we all want – an audience eager to view, share, and discuss their content. The top two-US-grossing movies this year, namely Guardians of the Galaxy and Captain America: The Winter Soldier, are both from Marvel. In 2013, another Marvel movie, Iron Man 3, brought in $409 million while Thor: The Dark World rang up an additional $206 million for Marvel. The year before that was 2012’s Avengers, which was worth $623 million and the number one spot for that year. With that kind of success, it’s amazing to think that Marvel Entertainment Group actually filed for bankruptcy protection less than 20 years ago. How Marvel has gone from the brink of bankruptcy to one of the biggest names in entertainment, with blockbuster movies, televisions programs, video games, toys and, of course, comics, is a great story. There are a number of lessons we can learn from Marvel as we seek to add the same level of superpowers to our own marketing campaigns and websites!

1. Start with great content.

It all begins with content. Marvel focuses heavily in making sure that all their products are top notch. The value of this cannot be overstated. You can market all you want, but if your content (or whatever you are marketing) is mediocre, you will be facing an uphill climb. If your content is great, it will be much easier to find that eager audience. Marvel assembles a team to create their amazing entertainment properties, including actors and actresses, writers, filmmakers, illustrators, and more. While you may not need as large a team for your own efforts, you certainly should not attempt to do it alone. If you have in-house marketing resources, they will obviously play a role in this effort, but you should also look to the subject matter experts in your organization for what they can contribute. Finally, you will want to work with whatever web or marketing agency you partner with to get their expertise added to your campaign plans and help you develop amazing content.

2. Diversify your promotional efforts.

When Marvel is preparing to launch a new movie, they look to the range of channels they have available to them to promote that release. They run ads on their television shows, they release special edition comics meant to raise awareness and excitement for the characters and the film, they even time the release of toys for the film perfectly so that kids see the figures on store shelves and make sure their parents know that they want to see that movie. This multi-faceted approach to marketing is often called “multi-channel marketing.” For websites, multi-channel marketing means using all the appropriate resources at your disposal to connect with an audience and make them aware of, and drive them to, your site and your company. If you are using social media to promote your content, that is great, but you cannot stop there. Email marketing, search engine and other online advertising, and sponsored content are all ways you can reach an audience online. There are also offline options you should consider, from traditional print and mailing pieces, to articles in print publications, to appearances on news or radio. Not all of these may make sense for your campaign, but the point is that all of these, and more, should be considered. This is another thing you will work with your marketing agency on – identifying which channels make the most sense for your particular campaign. Whatever you decide on, however, you are almost certainly going to find that multiple channels will play a part in your eventual plans.

3. Tie it all together.

One of the things that Marvel has done expertly is to tie their properties together to create something that is bigger than just the sum of its parts. The Avengers movies are an obvious example of this since they combine characters from a number of Marvel’s solo-movie projects, including Iron Man, Captain America, and Thor. In addition to the Avengers films, which feature an all-start cast of their characters, Marvel has also made it a point to include ‘teasers’ at the end of their films. These tie-ins create excitement and get people talking not only about the movie they just saw, but also what is coming next. When you are considering your own content and campaigns, you should be thinking about how you can tie things together. This could be something as simple as cross-promoting similar products on an Ecommerce site or adding links to related articles at the end of a blog post. These are both ways that you can tie things together and increase overall exposure. If you are a services driven organization, another avenue you may consider is explaining how those various services you offer tie-in together and complement each other. If you’ve ever told an existing client about another service you offer, only to hear them say, “I didn’t know you did that!”, then you can see the value in cross-promoting your offerings by tying them all in together in some way.

4. Introduce new offerings and embrace new audiences.

As mentioned earlier, this year’s top-grossing movie in the US is Marvel’s Guardians of the Galaxy. This is notable because, before the movie’s release this summer, few people outside of diehard comicbook fans had ever heard of these characters! Heroes like Iron Man and Captain America were well known prior to their movie debuts, so there was already some name recognition that certainly helped fuel the success of those films, but Guardians of the Galaxy is about as obscure as it gets. Still, this movie has taken in over $738 million dollars in global ticket sales. The reason for this success is because the movie is great, but what is interesting is that, for people to discover how great the movie is, they had to give it a chance. People gave it chance because they trust Marvel. If you are consistent in the quality that you deliver, whether that is in the products you sell, services you offer, or content you publish, then you will build trust with your audience and customers. That trust is critical for when you want to introduce new offerings to help expand your business. Just like movie-goers trusted Marvel enough to give Guardians of the Galaxy a chance, if your customers trust you, they will be more inclined to give your new offerings a chance. If you are following the tips mentioned previously and tying things together, this trust can be doubly helpful as customers will be introduced to new offerings and the trust they have in you will encourage them to give them a shot.

In summary

We may not all be able to release a video and attract 18 million views in 24 hours the way that Marvel has done, but by following some of the same steps that Marvel uses to promote their releases, we can help our own campaigns take off.

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