Breaking profile: Maura Ginty joins story to systemsThree decades onlineTwo marketing booksOne question: what does the customer value?

Profile / Marketing, measured

Maura Ginty Learned the Web by Writing It - Now She Markets for Two Audiences

She began as an online editor who had to code her own pages. Three decades later, Maven Clinic's CMO is still doing the same essential job: making complicated systems legible to humans, while insisting that every fashionable metric earn its keep.

Before digital marketing became a row of dashboards, Maura Ginty had a more immediate technical problem. She had reporting to publish, and the publishing system expected her to know front-end code. It was the 1990s. Her first job, at Internet.com, mixed research and trend-spotting with the mildly rude requirement that a writer also understand how the page came into being. So she learned. The work suited what she calls her left-brain, right-brain combination: quick prose on one side, code and operations on the other.

That accidental curriculum explains more about Ginty's career than any tidy theory of personal branding could. She did not arrive in marketing by selecting a lane and polishing the sign above it. She moved through the machinery. Analytics, content, messaging, partnerships and operations appeared early, not as departments on an org chart but as things that had to cooperate before a story could meet its reader.

Nearly three decades later, she is chief marketing officer at Maven Clinic. The job is larger, the systems are less forgiving, and the audience now includes machines that summarize a company before a person ever reaches its website. Yet the central task looks familiar: make the complicated thing clear, understand the person on the other side, and build enough structure that the message survives its journey.

The web producer never quite left

After Wellesley College, Ginty combined editorial and technical roles at Internet.com, Lonely Planet and Symantec. At Autodesk she helped establish the company's first centralized programs for search, web content and social media, then created best practices and cross-functional councils around them. Her old speaker biography called the work “global digital wordplay,” a phrase with more life in it than “content operations” and rather more honesty too.

The sequence mattered. Search taught her that language could be an infrastructure. Editorial work taught her that readers are not database rows wearing shoes. Large organizations taught her that a persuasive idea can die quietly when teams use different definitions. Marketing leadership gave her the authority, and the burden, to make those pieces agree.

She also wrote the manuals. Ginty co-authored Landing Page Optimization and, in 2012, Complete B2B Online Marketing. Their subjects - testing, conversion, search, social, measurement and lead nurturing - now read like the foundations of an industry that has acquired several new acronyms but not necessarily better manners.

“The key to getting pricing right is, you have to look at it from how the customer values the product.”Maura Ginty

A customer is more than a score

At Kissmetrics, where Ginty became vice president of marketing in 2015, the company needed a sharper way to decide which prospects belonged with sales. The ordinary temptation was to compress a prospective buyer into a score. Ginty's team widened the frame. They examined behavioral signals, integrations, spending triggers and, crucially, the prospect's technology stack. Context told them whether a company was ready to use a sophisticated analytics product, and it gave sales a better conversation to begin.

23→43%Reported close-rate change at Kissmetrics after contextual qualification
9×Reported rise in marketing-sourced pipeline at Mode Analytics

The reported close rate rose from roughly 23 percent to 43 percent. The important part was not a secret formula. It was the refusal to treat data as a substitute for learning how a customer works. In an OpsStars conversation years later, Ginty described curiosity as an ability to question yourself: where did this conclusion come from, and what shaped it? Without that second move, curiosity can become mere nosiness with a spreadsheet.

Her pricing work followed the same logic. At Kissmetrics, six months of page testing helped show the sales team that smaller changes were improving results by 20 to 50 percent. At GeoEx, an expedition company where she led marketing, she applied the method to travel rather than software. A once-unusual itinerary had lost its scarcity as a market opened. The choices were to adjust the trip, renegotiate with partners or reconsider the price. Different industry, same sober question: what, precisely, does the customer value now?

The launch plan in Slack

When Ginty joined Mode Analytics in 2019, she walked into the final two weeks before a major product launch. Beta research had already delivered the inconvenient news: the message was not landing. The marketing plan was being outlined and run through Slack. It was a recognizable startup scene - sophisticated people, strong thinking, and a few basic structures still being assembled while the clock stared at everyone.

She used the moment to reset more than launch copy. At Mode, she revised go-to-market strategy, messaging and positioning. The company later reported a ninefold increase in marketing-sourced pipeline. Ginty has a healthy suspicion of marketing as arithmetic alone, but she is not shy of arithmetic when it records a better business decision.

Her view of executive work is similarly unsentimental. A CMO brings specialist knowledge of how to approach a market. Choosing which market to pursue, however, is a company decision with consequences well beyond marketing. An executive has to synthesize information as the horizon gets closer, decide with incomplete certainty, and own the result. Speed without adjustment is recklessness. Analysis without a decision is expensive furniture.

“Know both the organization and the customer well.”Maura Ginty
OpsStars podcast artwork featuring Maura Ginty as a marketing adviser and fractional CMO
Episode 23, and a useful recurring theme: personalization begins with knowing which customer deserves your attention.

The consultant who stayed

In 2016, Ginty founded what became Maeve Consulting. The practice let her move across the whole marketing puzzle: strategy, research, product-led growth, public relations, pricing and content. She worked with young companies and established ones, sometimes advising, sometimes stepping in as a fractional leader. BrowserStack, One2Team, LeanData and a procession of B2B technology firms appear across that period.

Fractional work has its own romance. You arrive for the hard part, bring pattern recognition from elsewhere, and leave before the office chair learns your shape. In October 2024, Ginty began working fractionally with Maven Clinic. The assignment refused to leave her head. In her announcement the following January, she admitted that after speculating about the future of fractional and conventional CMOs, she had crossed to the other side. She was eating her words, she wrote, “and they are delicious.”

The humor prevents the career move from becoming a triumphal press release. It also reveals the test she seems to apply to a company: is there a meaningful customer problem here, and can the market story help solve it? Maven's model gives marketing several audiences at once - employers, partners and individuals - across enterprise and consumer channels. For a person who has spent a career making systems agree, the complexity is less a deterrent than a familiar desk.

Internet.com makes a writer learn the code behind the page.

Autodesk turns search, web content and social media into centralized practices.

Kissmetrics qualification work replaces a thin score with customer context.

Mode's go-to-market reset joins positioning to pipeline.

A fractional Maven engagement becomes a full-time CMO role.

Now the machine reads first

In 2026, Ginty's old preoccupations met their latest channel. Maven had begun a website project that looked, at first, like search-engine optimization. Almost immediately, she said, it became an answer-engine optimization project. People were discovering brands through AI-generated answers. Consistency, structure and verification could no longer wait until a visitor arrived on the page. The company's story had to remain intact while a machine took the first pass.

Her response has avoided both panic and victory laps. In a Webflow roundtable, she argued that anyone declaring themselves ready for answer engines was displaying hubris because the field was changing too quickly. Structure matters, but so does the ability to pivot. She compared leadership confidence to the familiar survey joke in which an implausible share of drivers considers itself above average. Readiness sounds lovely in a meeting. Implementation tends to know better.

The practical work continues. Ginty described Maven's rebuilt digital platform as a learning tool for testing messages and understanding what different groups need. In a later video, she reported a 37 percent increase in engagement and a rise in demos. The marketing claim returns to evidence, but the point of the evidence is improved understanding.

Please, Claude. Hurry up, Siri.

Ginty remains playful about the machines. She has written that she says please when speaking to Claude, then wonders why she is so terrible to Siri in the car. The joke is small and telling. Technology never appears in her public writing as a mystical force. It is a colleague of uncertain competence, useful when briefed well and liable to waste everyone's afternoon when it is not.

Her team's five-hour AI hackathon made that philosophy operational. Four pods arrived with defined problems. Each had an AI-fluent translator. No one spent the day evaluating shiny new vendors. Follow-up meetings were booked before the event ended. The assignment was to build a workflow with a human trigger and a human check, not a clever artifact destined for a slide deck. Three prototypes went into production. Five other Maven teams asked for the process.

Ginty has warned that AI tools can cost more per seat than yesterday's entry-level roles and that productivity often falls before it rises. Narrow tasks and clear judgment are her answer. One job. One faster workflow. One person responsible for deciding whether the output is any good. It is the Internet.com lesson with much more expensive autocomplete.

In June 2026, after moderating a discussion about AI, she wrote that nobody had the subject figured out. What stayed with her was the room: women across roles and career stages, former managers, peers and long-time thought partners. One early manager had taught her the difference between mentors and sponsors. Mentors talk to you; sponsors talk you up when you are absent. A day framed around disruption left Ginty thinking about continuity. Networks, she wrote, matter more over time.

That may be the quiet center of her career. The technology changes. The acronyms demand fresh name tags. The useful work keeps returning to people: the customer whose context refuses to fit a score, the colleague who speaks up in another room, the team member who checks the machine's confident answer, the reader trying to understand what a company truly does. Ginty learned the web by writing it. She has spent the years since making sure the system remembers whom the words are for.