Profile Holly Hamann · Founder to CMO · Nine startup marketing teams · AI serves the curious Profile Holly Hamann · Founder to CMO · Nine startup marketing teams · AI serves the curious

People · Marketing at the edge

Holly Hamann Keeps Choosing the Market Before It Has a Map

Before influencer marketing had a name, Holly Hamann helped build its machinery. Now the mathematician-turned-marketer is applying the same appetite for unsettled territory to AI, learning, and the stubborn question of whether training changes what people can actually do.

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Holly Hamann’s first useful lesson in persuasion arrived in the passenger seat of a nice car. Fresh out of college, she was selling phone systems to dealerships around Washington, D.C. The owners were seasoned negotiators; she was young, and some did not take her seriously. So she changed the meeting. Instead of sitting across a desk, Hamann picked the best car on the lot and proposed a test drive. Conversation loosened. People listened. She sold more systems.

The story is funny because it has the clean geometry of a fable: hostile room, altered setting, better result. It also foreshadows a career spent helping unfamiliar technologies find an intelligible route into the world. Hamann does not merely polish a pitch. Her recurring move is to inspect the environment around the pitch - the category, the audience, the old assumptions - and rearrange it until a conversation becomes possible.

A taste for unfinished categories

Hamann studied mathematics and computer science at Washington College, then telecommunications at Johns Hopkins Carey Business School. That education produced an unusually fitting toolkit for startup marketing: enough technical fluency to respect the machinery, enough quantitative instinct to demand evidence, and a career-long fascination with the less orderly problem of human attention.

She found startups early and kept returning to them. Her résumé runs through internet advertising, multimedia, entertainment, video, storage, social music, endpoint management, workplace software, drone mapping, application security, contract technology, and learning platforms. The products differ. The market condition repeats. Each arrives with complexity to translate and, often, a category that is still deciding what to call itself.

9Startup marketing teams built or led
100+Industry talks reported
2009BlogFrog launch year

The defining example began in 2009. Engineer Rustin Banks had built a widget after noticing that readers of his wife’s blog wanted to talk with one another, not merely leave isolated comments. Hamann, already experienced in launching technology companies, joined him as co-founder. Their company, BlogFrog, concentrated first on women and parenting bloggers, a deliberate niche where strong communities already existed.

Within two years, the network counted 65,000 bloggers and reached millions of readers. Brands including LivingSocial, Hallmark, and International Delight were participating. The proposition was simple but early: publishers had trusted audiences, brands wanted relevant conversations, and software could coordinate the relationship without reducing it to a banner ad.

Holly Hamann smiling in a close portrait
Holly Hamann during the BlogFrog era, when the industry’s vocabulary was nearly as young as the company. Portrait from 2012.

The company raised a $3.2 million round in 2012. By 2013, its own name had become too small for the market it helped reveal. Creators were building audiences across Facebook, Twitter, Pinterest, and YouTube; “blog” described only one lily pad. BlogFrog became TapInfluence. The new name sounded more corporate because its buyers were enterprises, but it also recorded a genuine expansion in the culture. Influence had become a business category.

“Good ideas can come from anywhere.”Holly Hamann, on building teams

The marketer as translator

At TapInfluence, Hamann was part founder, part category interpreter, and part public face. She spoke at conferences, wrote for business and marketing publications, and explained why audiences might trust the experience of a peer more than the claim of a manufacturer. The company grew to more than 60 employees across Boulder and San Francisco, served hundreds of enterprise brands and agencies, and raised a reported $24 million.

Her mathematics background did not make her worship the dashboard. In writing about ad blocking, she argued that marketers had become so preoccupied with data that they risked missing the reasons behind it. Metrics could tell them an interruption failed; people could explain why. Her instinct was to put the two back together.

That instinct hardened into a practical rule. When colleagues sat in a room debating what customers wanted, Hamann said they should stop and ask one. There was, in her phrase, “no shortcut” to the call. It is an almost comically modest prescription for an industry fond of elaborate funnels. Yet it requires the thing corporate debate often avoids: letting reality overrule the most senior person present.

After TapInfluence, Hamann led marketing at a sequence of B2B software companies: Automox, Wurk, Propeller Aero, StackHawk, and TermScout among them. Endpoint security and drone mapping do not share many nouns, but they impose the same discipline on a marketer. Learn the product quickly. Locate the expensive problem. Replace technical fog with a sentence an enterprise buyer can repeat to a colleague.

She has advised or mentored companies including TeamSnap, Woot Math, and MusikFly, and served on the boards of the Colorado Venture Capital Authority and the Word of Mouth Marketing Association. The connective tissue is less “marketing” in its promotional sense than the work of turning emerging behavior into a coherent market.

Managing without pretending

Hamann’s public stories are unusually willing to preserve the error. In one, she hired a talented marketer, became absorbed by other priorities, and assumed the employee would work things out alone. The employee quit and explained why: too little direction and feedback. Hamann took the criticism into her management practice. She began making time for one-on-one conversations about the work people liked, what they wanted to do in five years, and how the company could help them grow.

The lesson sits beside an old BlogFrog maxim: employees should “be the CEO” of their jobs. Freedom, in Hamann’s account, was not abandonment. People needed room to propose unlikely ideas and enough attention to develop them. She even described a company rule allowing an employee with a sufficiently consequential idea to leave a current role and pursue it full time.

The Hamann operating loop

Enter early. Listen to customers. Translate complexity. Measure behavior. Admit the miss. Adjust the system. Repeat.

There is play in the system, too. Hamann played trumpet in a high-school jazz band. She once said that a career do-over might turn her into a pilot or a chef. She has competed in triathlons and set a cheerfully unreasonable lifetime target: 101 before age 100. In a recent post about The Regis Company, she described encountering more than 50 awards crowded across the Golden office’s windowsill and coffee table. Her response as CMO was to arrange a few, add music, and film a dramatic pan with a joke at the end.

The impulse is revealing. Accomplishment deserves evidence; evidence need not arrive with a brass band. A crowded windowsill and no place for the coffee mug can tell the story.

The new question: did learning work?

Hamann joined The Regis Company as Chief Marketing Officer in 2025. Founded in Golden, Colorado, the company had spent two decades designing simulation-based learning for large enterprises. Its current platform uses AI-supported scenarios to let people practice workplace decisions and generate behavioral data from those choices.

This is another translation job in an unsettled market. Corporate learning has traditionally reported attendance, completions, test scores, and satisfaction. Those measures describe exposure and recall. They do not necessarily show whether somebody can handle a tense conversation, weigh competing priorities, or exercise judgment under pressure. The company’s commercial argument is that practice can produce stronger evidence of readiness.

Hamann’s recent writing presses on that distinction. In one article, she describes behavioral markers such as decision analysis, perspective awareness, information sequencing, and metacognition. In another, she argues that adding AI to a slow, sequential design process may simply make the wrong part faster. The technology matters; the operating model around it matters more.

“AI serves the curious.”Holly Hamann, on who benefits from disruption

Her view of AI is neither reverent nor glum. She has compared it to an ocean: worthy of caution, impossible to make disappear by ignoring it, and best approached by learning to swim. She has also written about saying please and thank you to a model, getting irritated with it, and noticing how its tone mirrored her own. This is a marketer inspecting a tool through behavior rather than announcement.

She also resists shallow novelty. After spending weeks learning an automation platform, Hamann connected the experience to roughly three decades of meditation practice and an adviser’s instruction to dig one deep hole instead of many shallow ones. The point was not mystical. New software becomes useful after the first frustration, while most tool tourism ends just before competence begins.

That patience complicates the familiar caricature of the startup operator chasing every new thing. Hamann likes disruption, but her career suggests that novelty alone bores quickly. What holds her attention is the period after the demo, when a product must survive customers, budgets, organizational habits, and its own inflated language.

Curiosity with a job to do

A person can build a career by knowing the map. Hamann built hers by noticing when the map had become obsolete. The web, search, marketing automation, social platforms, mobile software, cloud computing, and generative AI each invalidated a portion of the marketer’s playbook. Her answer has remained consistent: pay attention, loosen your grip on yesterday’s expertise, and learn enough to become useful again.

That is less glamorous than foresight. It also travels better. Predictors need to be right once. Operators need a method for being wrong repeatedly without becoming useless. Hamann’s method includes data, direct conversation, experiments, candid postmortems, and a willingness to enter a category before its language becomes comfortable.

The car-dealership lesson still fits. If the room prevents the conversation, change the room. If the category limits the product, rename the category. If the learning metric records attendance instead of capability, measure the decision. And if the technology keeps changing the rules, there is always another test drive waiting outside.