Fractional CMO Laura Moore: "My goal is to get myself out of a job"
Laura Moore's fractional CMO firm has a 9-month exit model: build marketing systems that survive without her. Here's her tech stack and 2026 predictions.
Most fractional CMOs build dependency. Laura Moore does the opposite—she designs nine-month exits.
Laura Moore founded Find the Foxx in January 2025 with an unconventional premise: she actively works to become unnecessary. As a fractional CMO working with startups, she doesn't just provide strategic guidance—she builds systems designed to outlive her engagement. "My goal is to get myself out of a job," she says. "That I'm trying to be in the company no more than a year."
Laura's high energy is immediately apparent in conversation—she's enthusiastic, direct, and moves quickly between ideas. She describes herself as an ENTJ, "the lion" in personality frameworks: "hardcore execution, like very driven strategy, aggressive." A self-described "junkie" for behavioral tests like Enneagram, Myers-Briggs, Colby A, and Strengths Finder, her strategic intensity and genuine curiosity about how people work shapes everything she builds.
Find the Foxx is a fractional CMO firm that operates as what Laura calls a "strategic broker," connecting companies with vetted specialists while building the internal infrastructure that makes her own role obsolete. The name itself reflects her philosophy: "Fox was a word used in old 18th century marketing," she explains. "It was what was referenced as a person of influence—not the C-level decision makers, but the influencers of decision." She's hunting for foxes—leaders ready for ideation who are building solid ideas—while also building "the guild" of specialists who are excellent in their craft.
This transfer-of-ownership model emerged from four years in San Diego's startup scene, where she witnessed brilliant founders building sophisticated technology without clear paths to revenue. Speaking with ContentGrip, Laura shares how she's navigating the "prepubescent" AI phase while building marketing systems that actually survive the transition.
Short on time?
- Why nine months is the target
- The tech stack that has to work without her
- What 2026 demands: discipline over experimentation
Why nine months is the target
The nine-month timeline isn't arbitrary—it's the minimum viable duration to build genuinely self-sustaining marketing operations. Laura structures engagements as three-month advisory minimums for companies that just need strategic direction, but nine months allows time to move through onboarding, nail messaging foundations, deploy the story across high-ROI channels, and most critically, hire and train the internal team that will carry the work forward.
Her vetting criteria for who she works with reflects this focus on sustainable outcomes. Laura looks for "proof in the pudding"—people who are "true to form, they are honest about what they do and don't do, and they are humble and they are not driven by hubris." She wants partners who genuinely want to execute, accomplish, and build together, not those looking for someone to perpetually depend on.
This approach isn't about creating retainer relationships—it's about strategic transfer. Laura's greatest strength is spreading out, building relationships, and acting as a connector. Keeping clients dependent on perpetual consulting would mean abandoning what she does best: hunting for the next brand she believes in, the next leadership team she wants to help succeed. "For me to get out of that seat and help them build their internal teams, that for me is more sustainable than keeping them on a crutch," she says.
The model only works if the systems she builds survive without her. That means every tool choice, every process, every hire has to be robust enough to function when she's no longer around—which creates unusual pressure to get it right the first time.
Enricko Lukman
The tech stack that has to work without her
When you're designing systems to outlive your engagement, every tool choice carries weight. Laura's current stack reflects pragmatic decisions about what actually delivers when she's no longer around to troubleshoot.
For CRM, she chose Zoho over the more popular HubSpot—a decision that surprised some of her network. HubSpot integrates quickly and looks sexy, but Laura ran into pricing concerns: "You get to a point where you're like, okay, I really needed to do these things and then they hemorrhage you." Zoho felt incremental, scaling in proportion to growth stages. "It's not very pretty on the inside," she admits with characteristic directness, but the economics make sense for startups managing martech costs carefully.
Project management runs on ClickUp. For content generation, she's testing Enji, an AI platform from a San Diego startup that handles what she describes as "five intern roles under one umbrella." Outbound prospecting uses Apollo. Analytics flow through Google Analytics 4. For AI assistance, ChatGPT handles large-scale strategy, Claude tackles coding tasks, and Gemini's newly released format impressed her enough that she notes "ChatGPT went code red"—it's become her go-to for generative material and research.
Despite having a working stack, Laura tests three new tools per month to keep pulse on the industry. But she's cautious about what actually gets adopted. "We're in that season before the plane actually was viable," she explains, drawing an analogy to early aviation. "I feel like it's prepubescent." The careful vetting reflects her reality: these tools need to work long after she's gone.
Beyond software, Laura operates what she calls "the guild"—a network of vetted fractional specialists she refers clients to once foundations are built. This includes a VA firm in the Philippines she trusts, plus fractional marketing managers who specialize in longer-term embedded leadership. Her role becomes broker: connecting companies with the right human capital at the right moment.
One channel she consistently prioritizes deserves special mention: video. "Video is a very specific non-AI, non-artificial place of storytelling that I hope never dies," Laura says. In an era where AI can generate endless written content, watching an actual human communicate actual thoughts—including the blunders—remains refreshingly authentic.
Enricko Lukman
What 2026 demands: discipline over experimentation
Laura sees 2026 as the year marketing shifts from AI experimentation to AI execution—and that transition demands restraint more than innovation.
"The 2026 is going to be very ripe for marketers who can say, I use this tech stack, and I've created this system that integrates it well," she predicts. The winners won't be those testing every new platform. They'll be professionals who locked in stable tools, built repeatable processes, and can communicate analytics seamlessly.
This stability requirement connects directly to what Laura calls "the superpower": data cleanliness. Before deploying AI agents, companies must ensure their data is organized. "When we start talking about agents doing the role of an SDR and then realize the SDR didn't have clean data to begin with, then that agent is going to fall short, pump in information that you aren't organizing, and that mess is a little bit both cumbersome on a good day, potentially dangerous on a bad day." Building effective marketing systems requires this foundational work before automation can deliver results.
The shift also means audiences are getting savvier about AI-generated content. "The moment I sniff of AI in any of my feeds, I very much swipe and I very much start to distress the brand," Laura notes. AI fatigue is real, and as audiences grow adept at identifying synthetic content, in-person events will surge in value. Digital marketing faces what she calls "a real hit" as human connection becomes premium.
That same dynamic—AI handling the routine while humans focus on judgment and creativity—shapes how Laura thinks about the next generation. Entry-level marketing tasks that once served as training grounds are increasingly automated. Her solution: she's building an entrepreneurial training program for high schoolers focused on "creativity and taste," teaching them to harness AI agents rather than compete with them. "Being able to have a 17-year-old navigate or step into any company and know a tech stack and say, hey, I'm really adept at project management... I can just help you deploy whatever systems you've got going on," she explains. "If I had an 18-year-old talk to me like that, they are hired."
The through-line across all these predictions: 2026 rewards marketers who resist adopting everything, who maintain human control over AI systems, who clean their data before deploying automation, and who develop the creativity and judgment that AI can't replicate. "That stability and organization is going to be critical for humans to utilize and maintain control," Laura emphasizes.
