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

156 Rediscovering the lost art of focus: The cost of distraction

How many times during the day is your attention diverted by distractions such as Facebook, blogs or personal responsibilities?

775 Boost email open rates by 152 percent

Use your customers’ behavior to your advantage.

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

July 2013
By Blaine Howard

Mastering Marketing Momentum: Lessons Learned From Five of the Internet's Most Sharable Slices

In today’s world of social media, it’s not who likes you, it’s who shares you. Here’s how you can capture the magic of these major viral sensations in your own marketing.
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Mastering Marketing Momentum: Lessons Learned From Five of the Internet's Most Sharable Slices

More than “likes” or even views, shares can benefit your business by extending the reach of your brand. In other words, shares are the key to exponentially increasing your exposure to new audiences – and ultimately garnering even more likes, views and shares. Here’s a quick look at five recent “sharability” success stories and the lesson you can apply to boost the effectiveness of your own marketing campaigns.

1. Samsung Galaxy S III phone bump bests Apple.

Rather than attempt to compete with the Apple "universe of cachet," Samsung wisely zeroed in on one simple, cool thing that the iPhone couldn't do – as shown in their "Next Big Thing Is Here" campaign. And they framed that moment with a context (a loooong line at your local Apple store) that poked fun at Apple's legion of superfans while emphasizing what they might be missing out on. The resulting viral phenomenon generated more views on YouTube (over 17 million in total) than than all of Apple's 2012 ads combined – and more importantly, pushed the Galaxy S III to overtake the iPhone in worldwide sales in the third quarter of 2012, shortly following the release of the commercial. As selling points go, the "phone bump" might not stand on its own for long. But a well-designed product with other strong features (such as leading 4g technology and a larger screen) allowed this clever presentation to capitalize on its momentum and translate buzz into sales. The clip hit home with a huge audience that was beginning to show some brand fatigue with Apple – and Apple’s well-known, easily-caricatured tribe of brand evangelists. The takeaway: In today’s fast-paced world of business, timing is everything. Always keep your radar up for opportunities – whether that’s exploiting cracks in the competitor’s armor or seizing upon the chance to bring something new to the marketplace – and strike quickly (and creatively).

2. "Man of Steel" trailers take flight.

The last Superman movie, 2006's super-sincere Superman Returns, while reasonably successful, didn't energize the comic-book pioneer's enormous fanbase. Instead, the collective reaction seemed to land somewhere between "not bad" and "not great." Which just didn't cut it. A sequel never materialized in large part because there wasn’t a rabid demand for it. The intervening years have been witness to the huge success of superhero franchises like Iron Man, The Avengers and of course Batman. Much of the flaky "comic-book-ness" of earlier films has given way in the new millennium to earnest, darker, more realistic-looking efforts that hit home with an audience that values cool over camp. This time around Superman, first and mightiest of all costumed crusaders, needed to lose the golly-gee and make with the internal conflict and superpowers. And this set of trailers comes through – in speeding bullet fashion.

The trailers carry an angsty theme, to be sure. But the money moment is when our hero puts his fists on the ground and rockets into the stratosphere. It's a fantastic-looking flight that promises a movie filled not only with its share of 21st-century motivations but special effects that are truly...super. The first trailer drew more than 3 million views – and now, as the movie’s release date nears, the third trailer (also containing the definitive flight sequence), driven by thousands of Facebook shares and retweets, has passed 21 million views. The takeaway: It’s critical to be in tune with your tribe. Motivating someone to choose to share your content over all of the other stuff that comes their way in any given day requires you to give them something that resonates deeply with them on an emotional level, whether that emotion is humor, empathy, excitement, anger or any other feeling in the pantheon of the human condition. You can’t strike that chord unless you are truly one with your audience.

3. Lowes’ #lowesfixinsix vine series helps in seconds.

Lowes’ smart, useful “Fix in Six” series, utilizing the six-second video sharing app Vine, is among the first – and best – marketing efforts on the new platform, which Twitter recently purchased and is rapidly integrating into its text-and links-based model. By its nature, Vine’s six-second time limit forces any application for marketing to be all hook and no sinker. Lowes wisely utilizes the app to serve up content that is every bit as helpful as it is brief. And the fact that it’s all happening on Twitter – the second largest social channel on the Internet after Facebook – means that the audience is potentially huge for marketers who get it right. The takeaway: In a new marketing world where trust – and by extension trustworthy content – is king, achieving the perfect marriage of message and medium is paramount. Whether Vine, Twitter, Instagram or Pinterest is your weapon of choice, know it well and use it wisely.

4. Old Spice’s "I'm On A Horse" rides a viral wave.

Sure, the whole commercial is hilarious – from the shower scene to the handful of diamonds and all the accompanying dialog. In the rapid pace of online culture, it's already secured its place as an Internet classic. It's also a great example of traditional media creating synergy with online channels, as millions of people flocked from TV to the Web to watch this clip again and again. But it all comes back to the last bit – that second of time when the camera pulls back as the actor proclaims, "I'm on a horse." As a closing punchline, this moment had its work cut out for it. But the "best surprise yet" reveal managed to easily top everything that came before. And just like that the clip is over, motivating many to click the replay button. And the embed button, and the retweet button, and the share button, thereby spreading like wildfire among social networks and personal blogs and resulting in more than 45 million views. The takeaway: Granted, there’s no magic formula that guarantees that your next clip will go viral. However, what is guaranteed is that playing it safe is no way to achieve that “sharability” factor you seek. Go out on a creative limb. Sure, it’s scary out there, but if your grandpa’s aftershave brand can push the envelope with the “Man Your Man Could Smell Like,” you can, too.

5. The Oatmeal’s odd but awesome ode to Nikola Tesla.

Tesla 1 The Oatmeal, created by Matthew Inman, is one of the most popular comics on the Internet, garnering more than 4 million unique visitors per month and generating more than half a million dollars in income annually. By turns acerbic and sentimental, the strip relies as much on Inman's writing as his simple illustration style. One of The Oatmeal's most-shared installments – and a defining moment that earned him coverage in media giants like Time magazine and Wired – is a rambling rumination on the genius of 19th-century inventor, Nikola Tesla. Almost entirely a written piece, this selection stands as an example of the mysterious, unquantifiable attributes of what sometimes constitutes "sharability." The subject is obscure to most of the population. The piece is almost entirely text and could simply be labeled a humorous essay were it not interspersed with illustrations like this: Tesla 2 Yet because of Inman's built-in audience, his genuine passion for Tesla's lifetime of innovation and the media attention given to his subsequent Indiegogo campaign to purchase and renovate Tesla's old lab and turn it into a museum, this particular strip garnered more than 38,000 retweets and 18,000 Google+ recommendations. And the campaign raised $2.1 million in nine days. No doubt Tesla, an erratic genius who studied all aspects of electricity and invented radar and alternating current among other things, would have appreciated Inman's success at capturing Internet lightning in a bottle. The takeaway: Achieving a high “sharability” factor doesn’t require playing to the lowest common denominator. Sometimes going narrow and focusing on creating something that will catch fire within your specific niche can be a powerful strategy.

Now it’s your turn.

“Sharability” isn't necessarily about appealing to a wide audience, although several of the above pieces do that. It's about creating a deep impression with a passionate audience – and motivating that audience to spread the word. A flash of anticipation, a sense of urgency, a helpful tip or a genuine belly-laugh can all create that fundamental desire to let others in on the good stuff. So now it’s your turn. Go forth and create good stuff.
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.