Michael Lagoni entered the coffee trade show with a sales plan and left almost immediately with neither coffee nor sales. The convention floor in Seattle was full of booths and possible customers. It was also full of strangers to whom he would have to introduce a company that barely existed. Anxiety won. He walked out.
Then his phone rang. Mitch Keidan, a college friend whom Lagoni hoped to recruit, wanted to know how the prospecting was going. Keidan had proposed the trade show as a test: find enough clients and perhaps the fledgling business could support his move across the country. Lagoni had $300 in the bank, a 400-square-foot studio apartment doing double duty as an office, and no elegant answer. So he went back inside.
He worked booth to booth and signed three clients that day. It was not the sort of launch that arrives with a stage, a seed round or a heroic photograph. It was awkward and useful. The entire Stackline method was already visible in miniature: get close to a customer, discover the work that matters, do it manually if necessary, and allow discomfort to become information.
“What sustained me at first was simply fear - can we actually build what we set out to build?”Michael Lagoni, reflecting on Stackline’s early years
A large idea in a very small room
Lagoni had sketched the idea for Stackline in 2014 on a flight from Seattle to Cleveland. He knew both sides of that route. Cleveland was where he had attended Baldwin-Wallace College and helped establish a local chapter of Minds Matter, the academic mentoring organization. Contemporary accounts describe Lagoni and fellow twenty-somethings using a $30,000 civic grant to build a program for high-achieving students from low-income families. Students received weekly instruction and attended summer programs on college campuses. Before dashboards and retail media, there were Saturday lessons and college applications.
Later came an MBA from Harvard Business School and analytical work at Boston Consulting Group and Amazon. At Amazon, he watched consumer brands try to understand online retail through a scatter of narrow software products and specialist firms. Each provider offered a slice. The client had to assemble the truth.
His proposed remedy was grand: one platform combining market intelligence, advertising, operations and the expert services needed to act on all that data. His finances were less grand. Software takes engineers, time and money, three commodities in limited supply inside a studio apartment. Lagoni chose a route that was almost comically practical. He sold the service before he built the software.
He called mid-sized consumer brands and offered to crunch their ecommerce numbers by hand. Early work covered the unglamorous, indispensable machinery of selling online: merchandising, inventory planning, content, search optimization and advertising. The recurring-revenue goal was $20,000 a month, enough to make Keidan’s move to Seattle sensible. Every invoice bought development time. Every client question sharpened a specification.
This was bootstrapping powered by proximity. Stackline did not have to imagine what customers might want after the product arrived. Its people were already doing the work customers wanted, discovering which tasks repeated and which decisions were needlessly slow. The services business functioned as revenue, research lab and product-management system at once.
The customers played venture capitalist
The first version of Atlas arrived in 2016, built to track ecommerce competition across an immense product universe. Beacon followed in 2017, automating the view inside a brand’s own business - sales, advertising, operations and forecasting. The distinction mattered. Atlas looked outward at the market. Beacon looked inward at performance. Together they began to resemble the operating system Lagoni had drawn on that flight.
By then Stackline’s customers had done something conventional investors usually do: they had funded the search. Lagoni liked the analogy. Revenue from consulting and managed services paid for research and development, while customer needs guided what to build. The arrangement imposed discipline. A feature could not survive on the charm of a pitch deck; someone eventually had to use it on a Tuesday.
The company expanded its coverage to nine countries in 2018. In 2019 it opened an office in Minneapolis, reached 50 employees and served clients in 14 countries. Growth produced its own comedy. On one office-moving day, a colleague announced at noon that everyone should pack. There was no moving company. About 30 employees carried monitors, boxes and furniture through downtown Seattle themselves. The episode is a respectable metaphor for a bootstrapped software company: advanced analytics upstairs, desk chair on the pavement.
Lagoni’s language from the period is revealing. He spoke about “testing and learning,” about personal connections, and about giving employees autonomy. He also described Stackline as a place where ambitious people could do their life’s best work. Those phrases can become lobby wallpaper in careless hands. His operating choices gave them sharper edges. Early employees were promoted into executive roles. Senior leaders stayed close to customers. The origin story was repeated as the team grew, not for nostalgia, but to explain why urgency and direct feedback carried authority.
“I see Stackline as a place ambitious, talented people can come to do their life’s best work.”Michael Lagoni on the company he wanted to build
The first check was $50 million
For six years, Stackline took no outside money. It was profitable from the beginning and reinvested what it earned. Then, in November 2020, Goldman Sachs Growth Equity invested $50 million in what was formally the company’s Series A. The label sounded early. The business did not. Stackline said it already worked with more than 2,000 consumer brands, operated across 18 countries and employed 95 people.
Outside capital arrived all at once
Goldman Sachs Growth Equity supplied the first outside investment. TA Associates followed seven months later.
Seven months later, TA Associates invested another $130 million. The two transactions brought reported outside capital to $180 million. Stackline planned to expand products and geography, and opened a New York office. The checks matter as much for their position in the sequence as for their size. Capital arrived after the company had clients, products, offices, profits and habits.
That sequence also changed the nature of the bet. The $300 bet asked whether anyone would pay Lagoni to make ecommerce clearer. The $50 million bet asked how widely a proven system could travel. He had moved from survival to service, a shift he later described in conversation: early fear gradually gave way to gratitude for the team willing to keep making larger commitments.
Lagoni starts Stackline from a one-room Seattle apartment.
Atlas launches to map competitive ecommerce performance.
Beacon launches to connect sales, marketing and operations data.
Goldman Sachs makes Stackline’s first outside investment.
TA Associates adds $130 million for product and global expansion.
Stackline pushes its measurement system into AI-guided shopping.
Now the shelf talks back
Stackline today describes itself as an AI-enabled retail intelligence and activation platform. It says 250 employees support 7,000 brands, with six offices and a solution network spanning 26 countries. Those are company figures, and they capture the distance traveled. Yet the more useful continuity is conceptual. Lagoni keeps returning to markets where behavior is growing faster than the tools used to understand it.
In 2018, he argued that ecommerce had no stable “current state” because advertising, automation, machine learning and connected devices were converging. In 2024, he appeared in a presentation about unifying first-party shopper data and activating audiences across retailers. By 2026, his writing had shifted to conversational shopping: people asking ChatGPT and Amazon’s shopping assistant what to buy, then receiving a compact answer rather than browsing a familiar results page.
The new problem sounds different but rhymes with the old one. Brands once struggled to see performance across fragmented online stores. Now they need to know whether an AI system mentions their products, which questions create the opportunity, and what absence from an answer might cost. Stackline’s AI Visibility tools attempt to measure those gaps and rank them by potential business value. Lagoni also published a playbook for brands preparing to test ads inside ChatGPT.
There is an obvious temptation to call this reinvention. It looks more like persistence applied to a moving target. Start with an unruly channel. Gather the behavior. Find a unit that can be measured. Connect it to a decision. Then automate what used to require a person bent over a spreadsheet.
Lagoni once described answers hiding near the bottom of that spreadsheet. It is a good image for his career. He is not publicly theatrical, and the company was largely built before the financing headlines arrived. The informative things happened lower down: a cold call, a client request, a repeated task, a nervous return through a convention-center door.
On that first trade-show afternoon, three customers were enough to change the future of a tiny company. More than a decade later, the scale has changed and the question has not. Where is the signal, and what useful thing can be built from it?