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 New Ice Age: Lessons Learned from the ALS Challenge for Achieving Viral Marketing Success

If you have been online in the past few weeks, you have undoubtedly come across the viral phenomenon that is the “Ice Bucket Challenge”. Videos of people dumping buckets of ice-cold water on themselves, recording the video and posting to social media, and then nominating others to do the same, has taken the Internet by storm. Anyone who refuses to accept the challenge is asked to make a donation to the ALS charity of their choice, and the viral sensation as a whole has also raised significant awareness for ALS, which is often called Lou Gehrig’s disease. Fire up your social media site of choice and you are bound to see video after video of your friends and contacts dousing themselves in ice-cold H20. Even if you are not a big social media user, you have likely seen information on this freezing cold phenomenon as news outlets have gleefully reported on, and posted videos of, celebrities from the worlds of sports, entertainment, business, and more participating in the fun. A recent video even had actor Vin Diesel nominate Russian president Vladimir Putin to take the challenge! It seems as if everyone has happily dumped a bucket of water on their head for charity and good fun. The success of this campaign, which has raised millions of dollars, as well as that aforementioned awareness, for the ALS Association, is an interesting case study in the concept of “viral marketing”. In this article, we will take a look at what this Ice Bucket Challenge can teach us about this type of potentially powerful marketing.

You never know what will go viral.

The concept of the Ice Bucket Challenge is pretty simple. You film yourself doing something silly (and somewhat uncomfortable) and you challenge others you know to do the same. Pretty straightforward – so what makes this such a craze? What does this campaign have that so many other campaigns that were hoping to “go viral” were missing? The truth may actually just be dumb luck, because the reality is that you never know what will find an audience and go viral. Many organizations that try to initiate a viral campaign try many different ideas hoping that they will strike gold with one. They do this because they know that even one viral sensation can be all they need to meet their goals, whether that goal is to raise awareness for a cause like the ALA Association is doing, or to just draw massive attention to a business or a product, similar to what Burger King did many years ago (and what they are trying to do again) with their Subservient Chicken campaign. Viral marketing is really a roll of the dice, but there are some things that can tip the odds in your favor. We can see some of these things at play here in the Ice Bucket Challenge, including the presence of celebrities.

Celebrities sell.

The Ice Bucket challenge has now been taken by celebrities including Bill Gates, Ben Affleck, Justin Timberlake, Dwayne “The Rock” Johnson, Jimmy Fallon, Oprah Winfrey, and Charlie Sheen (who mixed it up by dumping cold hard cash on his head instead of cold water – although he promised to donate all that cash to the ALS Association). The participation of celebrities, who then in turn nominate other celebrities, is absolutely one of the reasons why this Ice Bucket Challenge has blown up the way that it has. Their participation is what has driven news outlets to cover the videos, which prompts others to share those videos on social media. This in turn introduces the campaign to more people, who then do the challenge as well and nominate others. This is the very definition of “going viral”, and these celebs are helping to fuel that success! Compare the Ice Bucket Challenge to another “video for a good cause” from some years back – the Pink Glove Dance. Created by Providence St. Vincent Medical Center in Portland, Oregon, this video of medical staff dancing to raise awareness for breast cancer has been watched almost 14 million times on YouTube. That is amazing by any standard. If you asked any company if they would take 14 million views for one of their online videos and the answer, I am sure, would be a resounding “YES!”. Still, as popular as that video was, it pales in comparison to the reach that this Ice Bucket Challenge has found, largely because of that aforementioned celebrity involvement. So if celebrities can make your viral campaign, how do you go about getting them involved? Well, that’s the trick, you really can’t get them involved, it just has to happen! This is an important factor to realize, because if you are looking at the success of a viral campaign like the Ice Bucket Challenge and thinking, “How can we do something similar”, you need to realize that there is a “lightning in a bottle” aspect to what is happening here. You could do something identical and not find that audience that pushes it to this level. Yes, celebrities can make your viral campaign, but counting on them to participate is not a sound marketing strategy!

There is value in the ridiculous

One of the other factors that has contributed to the success of this campaign is the sheer ridiculousness of the act of dumping cold water on yourself. The Internet loves spectacle and the Ice Bucket Challenge delivers on that count! A successful viral campaign is often over the top and ridiculous. If you are considering trying you hand at a viral campaign, think outside the box and be willing to get a little crazy. When it comes to viral marketing, conservative rarely succeeds.

There is value in helping others.

Another factor helping fuel the success of the Ice Bucket challenge is that all of this silliness is for a great cause. While a viral campaign to promote a company or product may take off, one that is designed to help others has something that those others do not – good will. Doing good for others makes people feel good too. That is a powerful force that you can take advantage of if your viral campaign is for a good cause. With the Ice Bucket Challenge, many of the people who took the challenge also decided to donate to the cause. This combination of silliness and charity is something that has helped make this campaign what is has become.

Make it easy to participate.

Many viral campaigns require other people to get involved. The Ice Bucket Challenge has succeeded because so many people, celebs and normal folk alike, have recorded a video and posted it for the world to see. The key to this audience participation is making it easy to do! Take the example of the Pink Glove Dance again. After that initial video went viral, many other organizations recorded their own Pink Glove Dance videos, but none of them ever came close to matching the success of the original. One of the reasons is because there was not the massive flood of videos that we see happening with the Ice Bucket Challenge. This is absolutely because to the level of effort required to produce one of those dance videos, which includes a cast of dancers, music, editing, etc. Compare that to the Ice Bucket video, which only requires a cell phone camera and a bucket of ice water! By making it easy to join in the fun, the Ice Bucket Challenge has become the viral sensation that we see online now. If the success of your campaign requires others to get involved, make sure that the barrier to them doing so is as small as possible!

In summary

Viral marketing campaigns can raise incredible awareness for your organization, but there is never a guarantee that a campaign will achieve any kind of success, much less the massive reach that we are seeing with the Ice Bucket Challenge. Being willing to take a chance on a potentially viral idea is great and I encourage you to explore those ideas, but you also need to make sure that your entire online strategy does not center on a viral campaign. A well-rounded strategy that may include a viral campaign as one of the pieces, but which also embraces other initiatives as well (search engine ads, email marketing, content marketing/blogging, etc.) is how you will want to proceed. That way, if the viral campaign explodes, then you have the exposure you wanted, but if it fizzles, at least you have other initiatives working towards your online success.

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