Before he marketed software that helps hotels price a Tuesday night in Denver, Brett Kohn worked on a different sort of location problem. The question was not where a traveler might sleep. It was whether a mobile phone was where an advertising system claimed it was. In 2015, data from Thinknear suggested that 54 percent of location-targeted mobile ads landed more than half a mile from their intended mark. Some were off by dozens of miles. Precision had acquired a rather generous definition.
Kohn, then Thinknear's vice president of marketing, put the problem in commercial terms. Advertisers could pay for one thing and get something materially different. The observation was about latitude and longitude, but it doubles as a summary of his career. Across consulting, navigation software, mobile advertising, cybersecurity and hospitality technology, Kohn has kept returning to the troublesome space between a system's promise and the data that has to support it.
Today, Kohn is chief marketing officer at Lighthouse, a Denver-based commercial platform for travel and hospitality. The coordinates have changed into room rates, booking windows, demand curves, distribution channels and competitor sets. The job still asks for a translator. Hotel teams can possess oceans of information and remain thirsty for a decision.
The accountant in the marketing department
Kohn did not arrive through the customary doorway of copywriting or brand management. He studied finance and accounting at Texas Christian University, became a CPA, and worked at Ernst & Young. He later earned an MBA at Northwestern University's Kellogg School of Management, concentrating on strategy, marketing and finance, then joined L.E.K. Consulting. There he worked on growth strategy for large companies. The foundation was numerical before it was promotional.
That background matters because Kohn's public work rarely treats marketing as a decorative layer. He tends to start with the machinery: how a business makes money, what a product can prove, which inputs deserve confidence, and where a customer loses time. The accountant asks whether the figure reconciles. The consultant asks whether it changes the choice. The marketer has to turn both answers into a story another person can remember.
Accounting, finance, growth strategy
Monetization and product marketing
Location data, marketing and operations
Marketing strategy in cybersecurity
Global marketing for hotel intelligence
At Telenav, Kohn developed monetization strategy for a company built around navigation and location services. At its Thinknear business, he moved through marketing and product leadership into general management, the chief marketing role and the presidency. His vocabulary widened from campaigns to the company itself. He also helped the Mobile Marketing Association's working group examine location-data accuracy, an unusually sober assignment in an industry that preferred to advertise its precision.
When the pin on the map was wishful thinking
Mobile advertising in the mid-2010s was sold with the confidence of a magic trick. A marketer could reach someone near a shop, understand patterns of movement and connect an ad to a real visit. Kohn was an evangelist for the opportunity, but he was also willing to describe the loose floorboards. Location accuracy, he argued, affected both the place and the audience. If the coordinate was wrong, the entire account of relevance could be wrong with it.
“Effective marketing campaigns require reliable data and a robust understanding of real-world consumer behavior.”Brett Kohn, announcing Thinknear's Geolink platform in 2018
Thinknear tried to make those concepts operational. Its Location Score work filtered and evaluated signals. In 2018, with Kohn serving as president, the company launched Geolink, a self-service platform for planning, targeting, optimization and reporting. The pitch joined data quality to usability. Accuracy alone could become a research paper no one acted upon. Ease alone could put a friendly button on unreliable information. A useful product needed both.
There was also a human note in the official conference biography. During his San Francisco years, Kohn and his wife, it said, reported directly to their “Chief Infant Daughter.” It is a small joke, but a welcome one. Executive biographies can turn a person into a stack of nouns. The line suggests someone willing to interrupt the solemnity and identify the actual power structure at home.
After Thinknear, Kohn advised inMarket and then led marketing strategy at Malwarebytes. Cybersecurity replaced location advertising, but the need for earned trust hardly vanished. A colleague who worked with him at both Malwarebytes and Lighthouse later described him publicly as thoughtful, big-picture and biased toward action. Those traits map neatly to the work: understand the system, choose the direction, move.
A new industry, the same last mile
Lighthouse recruited Kohn in July 2022 as part of an expansion of its North American leadership team. At the time, the company said it served more than 55,000 hotels in 185 countries. His assignment was global marketing and the next stage of growth. The company was already dense with products and specialized language: rate shopping, parity, market intelligence, business intelligence and revenue management. A hotelier did not need another glossary. A hotelier needed to know what to do before breakfast.
The commercial setting is wonderfully unforgiving. A room left empty tonight cannot be stored on a shelf and sold next week. Demand rises around a concert, sinks after a cancellation, changes by channel and arrives with different booking windows. Competitors adjust. Online travel agencies take their share. Owners ask for reports. The product sits amid perishable inventory and impatient clocks.
Under Kohn's tenure, the Lighthouse story expanded from a set of intelligence tools toward a connected commercial platform. The company acquired The Hotels Network, bringing direct-booking and website-personalization capabilities into the mix. It also received a $370 million investment from KKR in late 2024. By January 2025, Lighthouse said more than 70,000 hotels used its platform. Those are company milestones, not a one-person victory lap. The CMO's challenge is to keep a growing suite intelligible as the organization, products and audience expand.
That challenge became sharper with artificial intelligence. In 2026, Kohn helped introduce Ernest, Lighthouse's AI workspace for hotel commercial teams. His framing was revealing. General models are capable, he wrote, but generalists do not know hospitality or the systems where a hotel team works. The hard part lies in the “last mile” between a powerful model and an actual commercial decision.
“That last mile, between a powerful model and an actual commercial decision, is where Lighthouse lives.”Brett Kohn, on the launch of Ernest in 2026
The phrase gives his varied résumé a clean spine. At Thinknear, the last mile ran from a latitude-longitude pair to an ad buyer's confidence. At Lighthouse, it runs from rates and demand signals to a revenue manager's next move. In both cases, a technically impressive system can fail at the exact point where a person needs it.
Clarity without the fairy dust
Marketing complicated software creates a temptation to perform a small disappearing act. Hide the machinery. Remove the qualifications. Present the outcome as effortless. Kohn's record points to a less theatrical approach. He has promoted sophisticated products, but his most durable public comments concern accuracy, context and the distance between a claim and a result.
That instinct matters in hotel AI. An algorithm can recommend a rate, but a commercial team still carries the consequences. A fluent answer can save time, and fluency can also disguise a weak premise. The operator needs the system to assemble signals quickly without erasing judgment. Guardrails, a word Kohn used when introducing Ernest, are part of the product rather than an apology for it.
His current public activity is similarly grounded in the changing work of hoteliers. He has promoted direct booking inside ChatGPT, spoken about the value of demand data and prepared to join a panel bluntly titled “What's broken in hotel tech (and how to fix it).” The aspiration is not modest, but the wording favors repair over prophecy.
Kohn's career offers no tidy founder myth and does not need one. Its interest comes from accumulated practice: the ledger, the strategy deck, the navigation platform, the billion-impression accuracy study, the cybersecurity brief, the hotel dashboard and now the AI conversation. Each chapter asks a version of the same question. What would make this information trustworthy enough, clear enough and timely enough for someone to act?
The answer keeps changing because the technology changes. The responsibility does not. Somewhere between the clever system and the person with tomorrow morning's meeting, somebody has to make the signal legible. Brett Kohn has made a career in that distance.