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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Mistrustcasting: A Tale of Two Brands

One day recently, a high school math class decided to conduct an experiment to ascertain whether Oreo’s Double Stuf cookies actually contain twice the “stuf” – crème filling – as implied by the treat’s name.

The class’s work yielded the faintly damning discovery that the Double Stuf contain only 1.86 more filling than the original incarnation – a shortage of 7 percent. Hardly headline-making news, right? After all, most folks would agree that it’s close enough and simply applaud the teacher’s creative, hand-on approach to this classroom exercise.

And that’s where Oreo should have left it, but they chose not to. Instead, when contacted about the matter by Business Insider, the company issued a formal statement claiming the math class had reached an inaccurate total and that their Double Stuf recipe does indeed include fully twice the amount of filling. So Business Insider put together its own experiment, which came down in favor of the math class.

Oreo’s response made this story bigger than it needed to be, and as a result, the brand’s overall reputation took a hit. After all, if they felt the need to lie about 7 percent of their filling, what else might they be hiding? The cookie controversy served up good fodder for a few days of news bites and morning drive-time humor, but given the public’s lasting love for Oreo, the Double Stuf kerfuffle blew over in short order.

More than filler

The Double Stuf debacle is an entertaining – if relatively innocuous – example of just how easily the integrity of even the most well-known brands can be called into question. That’s why the task of building and maintaining trust in your brand is such serious business. For more evidence, let’s take a closer look at BP and SC Johnson, two huge corporations with very different approaches to brand integrity – and very different reputations.

Both companies deal in products under close scrutiny in today’s increasingly green-minded business and marketing environments. BP is the world’s sixth largest petroleum fuel interest, and SC Johnson is one of the world’s largest producers of household cleaners.

If you look at their advertising and PR, both companies use strikingly similar language, which is logical, given that each company has a vested interest in portraying itself as environmentally responsible and forward-thinking.

But the court of public opinion tells a very different story, making it clear that their efforts to define themselves are yielding drastically different results.

BP’s big problem

More than three years after the disastrous oil spill in the Gulf of Mexico, BP is still dealing with the aftermath on many fronts. In addition to the illegal practices which led to the spill, the company has been found guilty of felony for lying in its response to the disaster and has paid out more than $42 billion in clean-up costs, settlements and fines.

BP was found to have engaged in multiple deceptions before, during and after the spill. The company repeatedly refused to disclose accurate or timely information for months after the disaster, which resulted in a far greater impact on the environment than would have happened if the company would have been immediately forthcoming.

A visit to BP’s website shows that the spill still dominates much of the company’s PR efforts. That’s as it should be.

But even as BP touts its gulf clean-up efforts in carefully crafted feature articles, it releases defensive statements whenever its efforts and motives are called into question. For example, in a statement dated August 28, BP responds to recent allegations by the state of Louisiana claiming that BP has not adequately addressed the clean up. Here’s the money quote that leads the statement: "Any suggestion that BP has failed to address the clean up of the Louisiana coastline is both false and irresponsible.”

No acknowledgement of BP’s responsibility, no conciliatory tone indicating that BP is committed to repairing the damage it caused, no apology for all of the suffering. Just a hardline defense, with copy that reads like it was drafted by a stereotypical Hollywood lawyer. This antagonistic tone is at odds with the shiny, happy stories that appear throughout the special section of its site dedicated to the Gulf of Mexico restoration.

This stark discrepancy between rosy PR fluff pieces and sharp legal statements defines the very heart of BP’s brand integrity issue. This is a company whose practices are squarely at odds with the public image it attempts to project.

Start with the logo

Petroleum is hardly a “clean” business; the best any oil company can offer is diligent safety practices and commitment to mitigating its environmental impact.

When BP debuted its green sun logo in 2001, the flowery “helios” mark, it was a clear effort to position the brand as somehow “cleaner” and more environmentally conscious than its competitors. The green sun implies a very different focus than, say, an oil derrick looming over a seascape. Yet in the decade plus since its logo shift, BP has actually decreased its efforts in the arena of solar power, finally announcing plans to shutter them altogether in 2011.

The fact remains that BP is first and foremost an oil concern, with all the environmental risks that such companies encounter. Until BP’s research spending on alternative fuels exceeds the 50 percent mark, that logo is a blatant lie.

Follow the money

Many brands seeking to build trust with the public establish charitable foundations or make contributions to causes. With its image in desperate need of a reboot, BP has made significant donations to gulf cleanup efforts and regional charities that focus on hunger and housing. These are all high-profile, press-release-ready efforts.

It’s certainly better than nothing, and BP does seem to grasp the idea that it needs to spend big to show its concern.

But you won’t find much in the way of marine environmental research on BP’s books or any slowdown whatsoever in the company’s high-risk deepwater drilling projects. No, right along with its more environmentally friendly efforts like wind and biofuels, BP is still using the lion’s share of its research dollars to pursue the same kind of risky drilling that damaged the Gulf of Mexico so dramatically.

As John Bell writes in Forbes Magazine, “BP’s talk about caring for the environment was for naught, as its actions failed to match its message.” Small wonder that a site like boycottbp.com is still growing strong. Or that the brand ranked at number seven in MarketWatch’s 2013 poll of companies with the worst reputations.

SC Johnson’s evolving transparency

While SC Johnson certainly faces environmental concerns, it does have an inherent advantage over a company like BP. After all, a Gulf-scale tragedy is highly unlikely in the arena of household cleaners.

But this field carries its own set of risks. Many of SC Johnson’s products – insect repellents, cleaners and baby shampoo, to name a few – are used by families on a daily basis. And in the last decade, concerns have increased about how these types of products impact not only the health of customers but the greater environment as a whole.

In large part, SC Johnson has responded to such concerns with a careful trust-building approach that includes admission of mistakes and a proactive willingness to change corporate policy and behavior. While there have been a few bumps in the road, even their response to setbacks has been characterized by a tone that emphasizes responsibility over defensiveness.

Open policies

One major area of concern with consumers about household products is the ingredients. Many cleaners and air fresheners tout a natural, organic identity while their labels contain a long list of unpronounceable components unfamiliar to anyone lacking a degree in chemical engineering. In an effort to counteract this, SC Johnson launched its "What’s Inside SC Johnson" website in early 2009, where it has published complete ingredients lists for almost all of its products.

However, the company’s track record is not perfect. Its “Greenlist” label, featured on Windex and other products SC Johnson claimed passed its highest environmental standards, was the subject of several consumer-advocate lawsuits. Because the label closely resembled other third-party designations for independently vetted products, the suits rightly called into question the legitimacy of SC Johnson practice of promoting its own – potentially misleading – self-proclaimed green standard.

Response to criticism

One of the ways in which SC Johnson has been most successful in upholding the integrity of its brand is in its response to controversy. The company trades heavily on its identity as a family-owned business, something that can be difficult to buy given its global scope and multi-billion-dollar annual sales numbers. But when issues arise, it is not a corporate lawyer that does the talking for SC Johnson; it’s Fisk Johnson, CEO and true blood family representative.

In the case of the Greenlist issue, Johnson reiterated the company’s commitment to the environment, but admitted its misstep. “When you're out in front of an issue like this, it means that you're not always going to get it completely right, as was the case with this particular issue," he said.

SC Johnson has also demonstrated a willingness to change its formulas and policies ahead of any legal mandate – and also ahead of many competitors. The company has reduced its greenhouse gas (GHG) emissions by 42 percent since 2000, and it has installed two wind turbines at its largest global manufacturing facility, enabling that facility to produce most of its electrical energy onsite.

Integrity gets results

All of this earnest effort is certainly paying off for SC Johnson. In 2012, the United Nations Foundation for Social Change honored the company as a global Leader of Change, and in 2013, the company received an EPA Climate Leadership Award for Aggressive Goal Setting.

SC Johnson’s mix of staying true to its family roots, increasing transparency with customers and demonstrating a willingness to change combines to reinforce its reputation as a brand that operates with integrity. While the company isn’t perfect, its actions maintain consistency with its image. By any measure of consumer confidence, that’s a powerful – and to borrow from BP’s ill-used lexicon – sustainable strategy.

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