Market Growth Consulting (MGC) was founded by Mark Goloboy, a marketing leader with extensive experience leading marketing, demand generation, and operations teams in public companies and hypergrowth environments. The firm was established in mid-2022 to address a persistent gap in the market: Company executives including CEOs, CROs, and CMOs, often struggle to find marketing and demand leadership that understands how to drive pipeline and revenue. Mark’s vision for MGC was to create a bespoke consulting and staffing firm that partners directly with CEOs, CROs, CMOs, and RevOps teams to develop strategies that start sales conversations and grow revenue.
Unlike traditional agencies with heavy overhead and rigid service fees, MGC was built as a lean, agile organization with minimal overhead, allowing it to win projects based on cost-effectiveness and retain clients through high-quality execution. The firm prides itself on a “likable and capable” standard, building client teams from a database of more than 200 elite experts who are not only subject matter leaders in GTM, Marketing, MarTech, RevOps, and AI, but are also the kind of warm, collaborative people clients want on their teams long-term.
Evolution of Expertise: From GTM to AI Pioneer
The history of MGC is defined by its ability to stay at the leading edge of technology. While the firm began with a focus on core go-to-market (GTM) strategy and MarTech implementations, including HubSpot and Marketo, it underwent a significant transformation starting in late 2022.
- Early 2023: Recognizing that AI would fundamentally change marketing, Mark Goloboy began experimenting with ChatGPT immediately upon its release.
- Mid-2023: MGC moved beyond basic chat use cases, developing human-in-the-loop content generation processes that helped clients scale content production, account-based marketing (ABM), and personalization faster than ever before.
- 2024: The firm reached a milestone in “The Art of the Possible” by building custom GPTs trained on CEO voices. These tools were so sophisticated that expert, PhD-level CEOs could not distinguish between their own writing and the AI-generated content.
- 2025 to today: MGC is defining the next frontier, including agentic solutions and retrieval-augmented generation (RAG), AI content factories that can turn hundreds of product specifications into thousands of translated web pages with minimal human intervention, and a homepage that functions as a live GPT-based answer engine.
Impact Across the Business Lifecycle
MGC’s history is best told through its clients’ growth. The firm has supported a broad spectrum of companies, from seed and series A startups to publicly traded giants like Klaviyo, Digimark, and Definitive Healthcare.
A notable success story in the firm’s history is Hi Marley, which grew from $15 million to $50 million in revenue while being consulted by MGC. MGC’s projects for HiMarley, a series B insurance tech startup, ranged from building systems to developing GTM measurement and reporting, to hiring the company’s permanent demand generation leader.
The firm also specializes in the unique pressures of Private Equity (PE) and Growth Equity-backed firms, helping leadership teams understand how private equity affects marketing investments and driving the rapid growth or marketing efficiency required for their funding models.
A Culture of “Try Before You Buy”
A key part of MGC’s operational history is its flexible staffing model. Mark Goloboy established a system where clients can “test” a high-level leader (such as a Fractional CMO or a RevOps Architect) before committing to a full-time hire. For example, MGC has placed leaders who defined PLG strategies for public companies and were subsequently hired permanently by those clients. MGC celebrates these transitions, actively encouraging clients to hire consultants full-time and retiring the consulting contract as soon as a permanent match is found.
Today, MGC stands as a firm that blends legacy business expertise (project management, lead scoring, and attribution) with future-tech capabilities (AI development and Generative Engine Optimization).