The Web Marketing Universe

Confusion about successful web marketing is rampant. Even for those in marketing, there's an ongoing war to maintain clarity about how the web universe works and how successful web marketing is executed today. Building an outperforming web platform is very much like building and running a retail store whose primary objective is providing a product or service.

• The store must be attractive, have a good location and be unique to attract visitors.
• The store’s layout, personnel and operations must serve the customer and make the sales process as easy as possible.
• The experience must promote the visitor to return to the store.
• The experience must transform the visitor into a customer.
• The experience must provoke visitors to tell others.
• The experience must promote customers to become repeat customers.

And while the foundational recipe for a successful website is very similar, getting there is completely different. Life happens faster online. While visitors peruse a physical store, website visitors “use” an online store. They can leave just as easily as they walked in. Their attention spans are much shorter, and their tolerance for a confusing layout or arduous pathways is low. There are no roads leading to the Internet storefront. The idea of “getting there” is completely different. The straightforward “location, location, location” mantra is replaced with a myriad of new approaches and considerations to gain the foot traffic you need to be successful online. So, from the never-ending minutia of terminology, buzzwords and techno-jargon, let’s clear the air for once and get some things straight about what makes a successful web marketing machine.

Metrics

Before anything is done, before the first photo is taken, before the first line of code is written, you must take account of what you know. In the web world, everything is in the numbers. From the unaware prospect to the loyal return customer, all possibilities and measurements must be mapped out within the sales continuum. Where do your customers come from? How much does the average customer spend with you in a year? How much is spent to gain one customer? What has your past advertising and marketing efforts yielded? Who are your repeat customers? Why do customers come back? Why do customers leave? Are you doing everything you can to measure all elements that directly and indirectly affect sales? There is much inventory and soul-searching in identifying your metrics. You must be honest about what you know and what you don’t know. You must be critical and able to grade yourself. Doing the homework here will not only guide the purpose of all your web marketing efforts, but also allows you to measure your return on investment, make adjustments and out-perform your competitors.

Utility

In the vastness of the Internet, there are two classes of websites: the digital brochure and the utility site. Most websites are the first kind––the online equivalent of a printed flyer. Yup, all the computing processors, memory, software, hardware, power and communication lines for people to read the same information that they would get from a brochure. The brochure site states its case, makes its pitch and then its done. That’s what many companies do with their brands on the Internet, and their website’s performance is a reflection of it. Your website needs to be useful, not just informative about your primary business objective. Many websites waste inordinate amounts of time and money promoting a site with no utility. Its visitors see no reason to return, and it dies right there. The precious opportunity to turn a casual visitor into a return visitor—the web version of true branding—is sadly wasted. Your website needs to find its place on the Internet. It needs to be known for something. Awareness and traffic on the web is cumulative, and all the time used to gain a visitor is wasted if the site is not worth bookmarking, sharing, remembering or revisiting. To achieve this, you must be prepared to invest in your site’s utility. You must have an offering to the public at large, without the visitor needing to be a customer. Your website needs to find its place on the Internet. It needs to be known for something.If you sell lawn fertilizer, offer a lawn care calendar for the visitor’s geographical area, e-mail alerts on care stages, free weekly lawn care tips and write a regular article. Create a place the visitor can count on, all the while promoting your brand and selling your product or service. Comparative shopping listings, mortgage amortization calculators, games, a “rare word of the day” and “your lawn care tip of the week” are all beginnings of utility for a website. If your competitors are already introducing utility in their online store fronts and developing a reputation for having a website that’s worth returning to, then you have something to worry about. Don’t wait until then. Up the ante and don’t waste another visit to your site.

Content

Many times the utility of a good website resides in the content it offers. Now this is where many websites have an identity problem. Most view their website’s static “brochure” text regarding their product or service as the website’s content. It isn’t. Content has purpose and application to the visitor beyond your primary offering. It may not apply to everyone, but it needs to be content that your audience wants to read, see, play, view, hear and interact with. Content has been and always will be king. As a result, the content maker is king. Believe it or not, writers are usually the single most important factor to the successful website core. If your website features piano playing tips in video form, then the video producer owns the role of king. Don’t regard your website as a one-time sales pitch. Invest in content and the long-term rewards will be exponential.

The idea

The challenge of utility and content represents the stage where the good idea is born. If your website doesn’t present any reason for a visitor to return, then it’s useless. Your website’s success is based on its core concept. What is it going to offer people? What is its reputation going to be? What about your content is going to make people talk about it, forward its web address, bookmark it, share it and most important, what is going to make people come back to it? This is where a good web development firm shines. The responsibility of your web development firm is to make sure the idea around your utility and content is sound and executable. Web professionals work hard to stay abreast of what the Internet landscape—and all competitors—provide. They know what people want, what’s lacking, where the opportunities are and where to drill for maximum gain.

Presentation

You’ve got your idea, you’ve found your niche, you’re creating great content––now we can talk about building a beautiful and functional website. Crafting a superstar website is its own discipline. Professionals that build memberable websites master a craft that is like no other. Once again, the Internet’s vast array of possibilities and potential are the reason so much more must be considered. Take, for example, reading a magazine. The magazine contains a catalog of content. It employs the simple interface of a table of contents, page numbers and the action of turning the pages—that’s it. In contrast, a website has multiple dimensions and depth. It does more than display your content—it’s functional. It stores content, catalogs it and queries it. It reacts. It allows for conversation and builds community. Your 24-hour Internet house is, in short, a working engine that must reflect your brand proudly, be functional and easy-to-use and run itself without you in the room. Your website is a working engine that must reflect your brand proudly, be functional and easy-to-use and run itself without you in the room. But with great power comes great responsibility—in design and function. It’s very much like building a unique, first-of-a-kind car from the ground up, combining art and precise engineering into a beautiful, functioning machine. There is a metric ton of considerations in any given website, right down to the psychology of choice. As a result, there are many amateur web designers, but very few great web builders. Still, many companies rely on traditional marketing agencies who see web development akin to the linear development of print material, television commercials or radio spots [see our article on the fall of traditional marketing companies]. In other cases, some companies employ a single individual––usually a programmer or a designer––to build a competitive website that in reality requires experts from many disciplines. Both of these extreme approaches to web building leave a trail of failed websites littered around the Internet landscape. The memorable and over-performing website requires a unique and specific combination of expertise from an array of web professionals, all working in concert on the details and all joined together on the big picture. That doesn’t mean you need teams of people working around the clock, but you will need portions of their knowledge and interactive specialties to craft it the right way the first time. In fact, the right way costs less upfront and makes your investment that much more powerful.

Traffic Building

You’ve established a good foundation with your web marketing strategy and metrics; you’ve got an online building that’s both beautiful and very useful; now the focus turns to building foot traffic. While the traffic building plan is part of the web marketing strategy, its execution is on an ongoing basis. The exact strategies and tactics for traffic building are different for each business, brand, product or service, and covering all the possibilities would be beyond the scope of this article. Effective traffic building, however, depends on one key element: the relation of a website’s utility and content to the community at large. Food for thought: In the beginning, you will start with any traffic. However, the public does reside with other websites. Those other websites have provided a platform for community. There are an endless number of online communities on everything from aardvarks to zucchini that people bookmark, remember and participate in––weekly, daily, hourly. You need to be there too. Identify those spots and begin participating in them. Be real and helpful. Promote your brand when appropriate, and promote your personality in the process. Link to some of your good content. Extend an offer outside your primary objective. Create and build a reputation. Again, there’s more to this than a simple example can convey. Simply put, there must be regular engagement with the public outside of your website. People engage with companies through the best form of advertising: word-of-mouth. The Internet just sets that on fire.

Visitor-to-Customer Conversion

The science and art of converting a visitor into a customer is unique to each web marketing plan. It begins with identifying, marking and sometimes even coding-in conversion points within the site. Conversion points can be the creation of an account, the point at which a product is sold, the submission of a contact form or the making of an appointment. The array of possible conversions are unique to the business; however, they tie directly to the bottom line. This is where the experienced web development agency brings metrics back into play. All efforts in traffic building and advertising are mapped; traffic from websites, search engines and other sources are cataloged; traffic is tracked to conversion points within the site; analysis is taken and actions to improve traffic and the rates of conversion are continuously implemented. Such complexity is beyond the expertise of traditional marketing firms or the one-man-band.

Getting Started - The Big Picture

Yes, at first glance this is a lot to take in. That’s why it’s important to interview your marketing firm to make sure they not only recognize the web marketing universe, but that can also execute on it and show results. We’re here to help. Call or write us. We promise to answer all of your questions in a straightforward manner and help you understand it all. If you’re already engaged or under contract with another firm, at least ask your firm—and yourself—the tough questions:

• What is the plan?
• Why will people come to your website?
• What will keep visitors coming back?
• What will make visitors tell others?
• What will convert visitors to customers?
• How is it performing?

And most of all: What will make people fans of your website? This is ultimately the goal of any web marketing campaign, and it's indicative of any superstar website. From local dentists to international corporate brands, anyone can reach the apex of online marketing, win more customers and gain market share for less money. Remember: fans do the marketing for you.

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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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