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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One Year Later

Today, there is freedom in marketing. No longer is the loudspeaker of the media controlled by a select few. As a result, so much more can be gained than ever before, all with fewer resources and less risk. The playing field has been officially leveled—and not a minute too soon.

With those words, we launched the first Fame Foundry Magazine and began leading a revolution.

Recognizing that the world of marketing is riddled with misinformation and con artists, we set out on a mission to cut through the static and get to the truth of the challenges of growing business today.

Each month we bring you articles that cut through the muck of jargon, myths, speculation and the outmoded ways of old marketing to give you the clarity and perspective you need to thrive in today's marketplace. As we mark our first anniversary, we take a look back at the fundamentals of new marketing that we’ve established over the past year.

The end of marketing as we knew it

Prior to the advent of the Digital Age, our culture was based on a handful of media. Television, print and radio were the anchors of mass information exchange and business promotion.

As a result, if you owned a business or were charged with growing a company, you were shackled to promotional entities such as television commercials, newspapers and the Yellow Pages.

Those days are long gone, and those systems are now dying. In their place are unlimited channels of conversation not only between one person and another but between people and business.

No longer does mass media claim a chokehold on the lines of communication between companies and customers. No longer are information gathering and sharing the exclusive domain of mainstream news organizations. No longer are consumers willing to passively absorb the web of lies concocted by marketing’s spin doctors.

Today the means of communication have been revolutionized, and the old methods marketing to the masses have been rendered ineffectual.

Read more:
Prying the Torch From the Dead Hands of Old Marketing

All hail the virtual agency

The only thing deader than old marketing is the traditional agency, and its business model is in the grave right along with it.

Today's marketplace is ruled by survival of the fittest. It's time to get faster, leaner, smarter and more agile, and marketing agencies are no exception to this rule.

The new marketing company is one that hasn’t forsaken business principles that are timeless but takes advantage of all that’s afforded by today's technology to shave off unnecessary expenses.

OUT: Deals with a select few in a position of control.

IN: True, choice-based media, entertainment and communications.

OUT: Expensive payments to big, traditional, bureaucratic agencies that still attempt to use carpet-bombing tactics to grow your business.

IN: Fresh and nimble development firms who know how to build a brand and grow a following around it using today’s communication systems.

OUT: Paying the price for enormous overhead expenses for big buildings and lavish offices filled with excessive personnel.

IN: Virtual and hybrid marketing firms that work fast and don’t pass the bloat of unneeded expenses on to their clients.

OUT: Working through layers of costly production managers, account executives and supervisors before you get to the people that really do the work.

IN: Having access to the key architects and creative talents who are integral to the ideas and concepts essential to your success.

Read more:
10 Things You Pay for From Traditional Marketing Agencies

If marketing is dead, what's next?

Getting and keeping customers is what it's all about. That much hasn't changed. What has changed is what's needed to achieve it.

Gone are the days of growing your brand by marketing to the masses. Today’s consumers are disengaged from commercial culture as we once knew it, disenchanted with marketing’s shallow messages and misleading claims and disillusioned by promises unfulfilled. Instead, they are ever in search of the authentic. They are driven to seek out companies they can believe in and to identify themselves with brands that inspire them.

In a world of unlimited channels of communication, loyalty is no longer a commodity that can be bought rather than earned. In the new millennium, trust has become the currency of a marketplace driven by the consumer, and the new way to grow business is through trustcasting.

Simply put, trustcasting is the ongoing process of building and maintaining trust between a business and its customers. The practice of trustcasting requires that any and all resources dedicated to the promotion of business be directly or indirectly founded in trust.

Trustcasting approaches customers as people, not numbers. For those ingrained in the old practices of mass marketing, this represents a daunting ideological shift, but the task of earning and keeping trust cannot be reduced to statistics or demographic segments.

Recognizing word-of-mouth as the primary medium by which today’s customers are won, those that practice trustcasting engage in two-way communication with their customers on a human level, demonstrating genuine respect and value for their time and attention. While this approach undoubtedly requires a more significant investment in time and resources than traditional marketing, the return — cultivating a community of evangelists around a brand – is also much more profound and lasting.

Read more:
Put Away the Smoke and Mirrors
The Trust Manifesto
Goodbye, Marketing. Hello, Trustcasting.
10 Resolutions for Success in 2010 and Beyond
10 Keys to a Successful Marketing Partnership

A brave new world

In today’s marketplace, the Web is where customers are won and businesses grow.

It starts with a great website – one that has successfully confronted and conquered the challenges of providing a beautiful interface, engaging content and utility beyond your primary offering. However, even the best site is only the first step; it’s the foundation upon which you can start to develop a community around your brand.

Once you’ve launched your site, you’ve effectively set up shop and opened the doors. That’s when the real work begins.

To get and keep customers, you must master the Web marketing universe beyond your own site. You must actively seek out those whose needs, desires and interests align with the products or services you offer, draw them in and engage them in conversation.

While it may initially feel like daunting and unfamiliar territory, the key to navigating this new landscape successfully is to ensure that all of your efforts are driven by the motivation of establishing and keeping trust. As long as you always follow the principles of trustcasting, you will inevitably turn contacts into customers, customers into fans and fans into evangelists, all while cultivating a vibrant virtual community.

Read more:
The Web Marketing Universe
On the Right Path
Best of Charlotte Website Design
The “No Duhs” of Social Media
10 Principles of Trustcasting in the Web Marketing Universe

Be yourself or be nothing at all

It’s a mantra worth repeating: People follow people, not companies.

PR done right in today’s marketplace is about people. Cultivating a fan base and creating rich relationships with your public requires that you drop the corporate mask and be a real person.

The public has no affection for the face of corporate America. No one wants to see standard form-letter responses and press releases on Facebook, Twitter and the like.

You must stop being corporate and start representing your brand on a personal level. Be real, flaws and all. Be prepared to be honest through and through. Share your time, your action and your help. Be present every day – accessible and responsive – without fail.

If you try to play it safe and fabricate a personality that shows the world the face you want the public to see, this artifice will be found out quickly. No one will invite you back to the conversation. In fact, you will be banned from the conversation.

By contrast, engaging in real relationships creates fans. Fans are more than just loyal customers; they are brand evangelists that do your marketing for you.

Read more:
The Cult of Personality (Part 1)
The Cult of Personality (Part 2)
Breaking Boundaries

The Age of Tribes

Behind every major movement and successful marketing engine there is a tribe.

What is a tribe? Simply put, it is a group of people that connect around a common goal, shared passion, similarities in background or a need for solutions to improve their lives.

The facts are simple: if you want to grow and thrive in today’s marketplace, you must identify, become a member of and lead the tribes that are relevant to your business and your bottom line.Your organization, your business operations and your products or services must be shaped by and around the tribe.

Tribes are ready and waiting for the next big thing that is going to solve their problems, meet their needs or make their lives better. If you’re the one that delivers that idea, they’ll rally around you, spread your message like wildfire and fan the flames of your success. The power and influence you command as the leader of your tribe is unrivaled by any form of traditional advertising.

Read more:
Tribes in Today’s Marketing
Mastering Tribe Marketing
Shaping Business for the Tribe

Following the leaders

If you need living proof that the rules have changed, look no further than the Fame Foundry Podcast. Each month we spotlight the people and companies who are leading the way in setting new trends and redefining how business is done today.

Take, for example, best-selling author and video blogger extraordinaire Gary Vaynerchuk. When it comes to the gospel of personal branding, there is perhaps no one so well qualified to preach as Vaynerchuk, who has not only turned his family business into $60 million-a-year wine empire but has cultivated a following of more than 100,000 for his daily video blog.

For a true testament to the power of Twitter, we introduce you to Comcast’s Frank Eliason – the man behind the Internet’s most advanced social media-based customer service program. Eliason has achieved the impossible by lending a human voice to the cable giant and transforming formerly dissatisfied customers into brand evangelists.

Then there’s the inspiring story of Amélie’s French Bakery in Charlotte, N.C., which defied the unfavorable odds of launching a new restaurant in the midst of an economic downturn by cultivating a reputation for authenticity and a fiercely loyal community of ardent evangelists.

Perhaps you are sold on the importance of social media platforms like Facebook and Twitter, but you’re still dubious of the value of viral video. Meet self-proclaimed “Internetainers” Rhett & Link, whose reputation for creating highly popular video content has brought major brands like Cadillac, McDonald’s, Coca-Cola and Starburst to their doorstep.

Read more:
Gary Vaynerchuk: Profit from Your Passion
Comcast’s Frank Eliason: Creating a Better Customer Experience One Tweet at a Time
Amélie’s French Bakery: Staying True to Success
Rhett & Link: The Business of Viral

More to come

The revolution is far from over, and Fame Foundry is just getting started. Keep reading for more intelligence on the new rules for business growth and what it takes to compete in today’s marketplace.

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