We are the digital agency
crafting brand experiences
for the modern audience.
We are Fame Foundry.

See our work. Read the Fame Foundry magazine.

We love our clients.

Fame Foundry seeks out bold brands that wish to engage their public in sincere, evocative ways.


WorkWeb DesignSportsEvents

Platforms for racing in the 21st century.

Fame Foundry puts the racing experience in front of millions of fans, steering motorsports to the modern age.

“Fame Foundry created something never seen before, allowing members to interact in new ways and providing them a central location to call their own. It also provides more value to our sponsors than we have ever had before.”

—Ryan Newman

Technology on the track.

Providing more than just web software, our management systems enhance and reinforce a variety of services by different racing organizations which work to evolve the speed, efficiency, and safety measures, aiding their process from lab to checkered flag.

WorkWeb DesignRetail

Setting the pace across 44 states.

With over 1100 locations, thousands of products, and millions of transactions, Shoe Show creates a substantial retail footprint in shoe sales.

The sole of superior choice.

With over 1100 locations, thousands of products, and millions of transactions, Shoe Show creates a substantial retail footprint in shoe sales.

WorkWeb DesignRetail

The contemporary online pharmacy.

Medichest sets a new standard, bringing the boutique experience to the drug store.

Integrated & Automated Marketing System

All the extensive opportunities for public engagement are made easily definable and effortlessly automated.

Scheduled promotions, sales, and campaigns, all precisely targeted for specific demographics within the whole of the Medichest audience.

WorkWeb DesignSocial

Home Design & Decor Magazine offers readers superior content on designer home trends on any device.


  • By selectively curating the very best from their individual markets, each localized catalog comes to exhibit the trending, pertinent visual flavors specific to each region.


  • Beside the swaths of inspirational home photography spreads, Home Design & Decor provides exhaustive articles and advice by proven professionals in home design.


  • The art of home ingenuity always dances between the timeless and the experimental. The very best in these intersecting principles offer consistent sources of modern innovation.

WorkWeb DesignSocial

  • Post a need on behalf of yourself, a family member or your community group, whether you need volunteers or funds to support your cause.


  • Search by location, expertise and date, and connect with people in your very own community who need your time and talents.


  • Start your own Neighborhood or Group Page and create a virtual hub where you can connect and converse about the things that matter most to you.

June 2021
Noted By Joe Bauldoff

The Making and Maintenance of our Open Source Infrastructure

In this video, Nadia Eghbal, author of “Working in Public”, discusses the potential of open source developer communities, and looks for ways to reframe the significance of software stewardship in light of how the march of time constantly and inevitably works to pull these valuable resources back into entropy and obsolescence. Presented by the Long Now Foundation.
Watch on YouTube

388 Finding your MVCs (most valuable customers)

388 Finding your MVCs (most valuable customers)

March 2021
Noted By Joe Bauldoff

The Case for Object-Centered Sociality

In what might be the inceptive, albeit older article on the subject, Finnish entrepreneur and sociologist, Jyri Engeström, introduces the theory of object-centered sociality: how “objects of affinity” are what truly bring people to connect. What lies between the lines here, however, is a budding perspective regarding how organizations might better propagate their ideas by shaping them as or attaching them to attractive, memorable social objects.
Read the Article

February 2021
Noted By Joe Bauldoff

Has the Pandemic Transformed the Office Forever?

In what feels like the universe's own swinging the pendulum back from the trend of the open floor plan, the corporate world has been forced to use the COVID-19 pandemic as opportunity for workspace experimentation, perhaps in ways that will outlast any stay-at-home order.
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April 2010
By The Architect

Tribes in Today’s Marketing

If you haven’t been exposed to the idea of tribes, or if you’ve heard the term but haven’t been able to make the connection and apply it to your company, then you’re not alone. While the existence of tribes isn’t new, for many it is still a reach to understand and integrate the concept into their marketing and business growth model.
Read the article

Tribes in Today’s Marketing

web_dev

What is a tribe?

Simply put, a tribe is a group of people that connect around a common goal. Tribes can exist anywhere and can be based upon any shared interest, no matter how specific. In fact, you are most likely a member of a tribe or even multiple tribes. You may even lead one. Behind every major movement and successful marketing engine there is a tribe. Behind every major movement and successful marketing engine there is a tribe. Barack Obama leads one in which he can raise millions of dollars in a single day. Steve Jobs leads a tribe comprised of a cult-like following of brand evangelists who hang on his every word during his two-hour product launch event and then go out and do Apple’s marketing for them. Tribes are not always large. Some don’t want to be big. In fact, many are exclusive. The common element around which most tribes form is actually quite narrowly-defined. These tribes are not just for golf, but for those afflicted with a natural slice in their swing; not just for personal finance, but for those obsessed with maximizing the energy efficiency of their homes; not just for shoes, but for those infatuated with handcrafted Italian leather stilettos. Balloon artists, amateur photographers, collectors of exotic southwestern jewelry, Ford Mustang enthusiasts, avid Mac users, city managers engaged in innovative economic development – all of these are tribes that gather. For their members, their interest is an intrinsic part of their identity, and their association with their peers is a point of pride. Anytime people make connections based on a shared passion, similarities in background or a common need for solutions to improve their lives, a tribe is born.

What’s changed

woman on a laptopTribes have always been around. Before the days of the Web, smartphones and Facebook, communities would form based on commonalities and gather face-to-face. Naturally, these tribes were geographically-based, and their numbers were fewer and limited to the most popular interests. Today’s tribes are different. The advent of the Information Age tore down geographical barriers by introducing platforms of persistent conversation and information sharing. Online message boards, which have been around for decades, overcame the limitations of locality and allowed for a tidal wave of tribes to be formed – not just big tribes, but ones that were small and highly specialized. People now had the tools they needed to find others with a shared passion and make an instant connection in the absence of physical proximity. As technology continued to evolve, the Web provided a more robust platform for these communities to take form. Smarter and more relevant searching allowed people to find outlets for their passions through 200 million websites. Website creation tools became more accessible, allowing those with limited technical know-how to create online hubs where their tribes could gather. Add to this new tools for scheduling, collaboration, coordination and real-time communication as well as wifi and the mobile Web, and you have fertile ground for tribes to flourish around any and every common goal and interest.

New types of tribes

In the past few years, the evolution of social media has allowed people to connect in ways that are not based solely on common interests but also on commonality in relationships and geography. When communities form around who their members are, where they live and how they relate to each other, a new dynamic is introduced. The tribe concept becomes even more powerful and pervasive as people forge ties around commonplace goals in their daily lives. For geographically-based tribes, the day-to-day problems of life – from finding the best deli in town to getting a recommendation for a good mechanic to obtaining a reference for a trustworthy electrician – are solved through the formation of tribes based on members’ inherent commonalities. Tribes can form around many different types of relationships. Whether it’s families bound together in a social network or colleagues that develop a web of connections on LinkedIn, the common thread that ties all these communities together is the relationship of their members to one another. in a world ruled by tribes, word-of-mouth is king Communication travels quickly through these organic networks, in most cases crossing over to other networks. Something as seemingly simple as a recommendation for TurboTax software during tax season spreads virally via word-of-mouth advertising from tribe to tribe, as members seek to solve problems in ways that enhance their own lives, the lives of others they care about and the environments in which they live. Thus, in a world ruled by tribes, word-of-mouth is king. Trust is not only essential; it is required.

The old system of marketing

Before the economy was overtaken by tribes of highly interconnected and informed consumers, success in marketing was achieved by the companies with the largest budgets and the greatest capacities to pummel the public into purchasing their brands. If you were selling a product 10 years ago, you would have run expensive advertising campaigns based on interruption, hitting the consumer over the head with your message as forcefully and as often as possible. The objectives driving this type of intellectual spamming were to raise brand awareness, create demand for more product, obtain wider distribution and ultimately apply those profits to more ads in order to fuel this vicious cycle. In what’s left of mass media, this wasteful practice still goes on. salesmanArby’s invested more than $85 million interrupting everyone with an oven mitt to sell sandwiches. Progressive and Geico spend a fortune flashing their brands in any and all media and markets. Nike poured hundreds of millions into endorsements and marketing to sell more Tiger Woods-branded products simply because they could command higher prices. National brands aren’t the only ones guilty of still marketing by interruption and spamming. From law firms to home builders to car dealerships, local businesses in every town dump truckloads of money into carpet bombing the public with ads in local magazines, newspapers and television, shouting their claims that they’re the best, they’ve discounted everything yet again, they have too much inventory and everything must go.

Marketing in a tribe-driven world

Today, trust rules the marketplace. People have many more choices and much less time than ever before. As a result, they invest their time carefully in their passions, in the issues that count and in the things that make a difference in their lives. They have no use for or trust in traditional advertising. Instead, they belong to a tribe, and they follow the movement of its members and leaders. These tribes are formed and move with or without you. Today’s successful marketers bow to the tribe, reforming how they do business, how they develop products and how they grow accordingly. The power and influence you command through the trust you earn from the tribe is unrivaled by any form of advertising. Your membership in the tribe is earned through trust and trust alone. Trust gives you permission to talk about your ideas as well as what you are doing to improve the lives of its members. When you are active and demonstrate honest intentions and selfless motives, you are promoted by the tribe’s leaders. The power and influence you command through the trust you earn from the tribe is unrivaled by any form of advertising. In this way, the tribe is your marketplace.

Getting there

Many companies, particularly local businesses, have a hard time mapping the connection between tribes and their bottom line. In fact, most are challenged to identify where tribes exist or, if they must, start and lead a new tribe. The fact is, any successful act of business creates a solution for a problem or improves people’s lives in some way. Underneath that solution are people who are already talking about all the issues surrounding it every day. Your focus in growing your business should be to identify your tribe and lead it. Weber doesn’t just sell grills; they lead a tribe of grilling enthusiasts. Jeep doesn’t just sell cars and accessories; they lead a tribe of off-roading die-hards. Gary Vaynerchuk doesn’t just market wine; he leads a tribe of a million wine aficionados. Fame Foundry doesn’t just sell marketing and website design; they lead a tribe of entrepreneurs and decision-makers whose passions are focused on business growth. Your passion for your business is your license to lead. You don’t need to be a national brand to be a tribe leader. Your local dentist doesn’t just sell her services; she leads a local tribe of people that care about healthy teeth. She may have only 25 true fans, but when they tweet or post their endorsement for her practice on Facebook, multiplying their actions by the average of 150 connections per fan now gives her instantaneous, powerful and unbiased word-of-mouth advertising to 3,750 people. Eliza Metz applies her life’s passion to leading a massive tribe of yarncrafting fanatics who follow her on her blog, on Plurk, on Facebook and on her podcast. She has earned the trust of its members, who have elevated her to a position of leadership. As a result, when she says she likes something, they listen and move, which translates to sales immediately. Eliza has never bought one piece of advertising; instead, she leads. Your passion for your business is your license to lead. But you can’t just log in, plant your flag and begin selling your products or services. The tribe will banish you right away. The fundamentals of trustcasting prevail in every facet of business growth, and this is no different in leading tribes. In part two of this series, we’ll go beyond the foundational understanding of tribes and cover the steps to identifying, becoming a member of and leading the tribes that are relevant to your business and your bottom line in today’s marketplace.
September 2014
By Kimberly Barnes

Intelligent Design: Transform Your Website into a Sales Engine with Machine Learning

Machine learning may sound like science fiction, but in fact, it’s the new reality that’s redefining marketing and e-commerce.
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Intelligent Design: Transform Your Website into a Sales Engine with Machine Learning

computer-brain 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...” Amazon2 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. TrueFit 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.