Lizzie Chapman & Dimitris Adamidis
53 episodes listed below
B2B growth, tested against execution reality.
Market Genius AI is a brisk interview show about the operating layer of modern go-to-market teams. Guests explain how sales execution, revenue operations, customer success, data infrastructure, and AI tools actually behave once they leave the strategy deck.
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Market Genius AI is a B2B interview show about the places where revenue strategy meets operational friction. It has a practical center. Episodes usually begin with a guest's route into a category, then narrow toward the specific problems that made a company, framework, or product necessary. The show spends a lot of time on go-to-market work as it is actually lived: incomplete data, tool sprawl, unclear ownership, failed sales training, and pressure from leaders who want quick fixes. It is comfortable with sales technology language. It is more interested, though, in whether the language changes behavior. In the conversation with Ryan Valancourt, sales methodology becomes a question of coaching, measurement, motivation, and whether teams can connect training to revenue outcomes. With Joe Aurelia, RevOps is presented less as a software stack and more as a control function that needs procurement discipline, expense rules, and the confidence to challenge rushed buying decisions. Customer success receives the same kind of hardening. Andrea Bumstead argues for replacing vague customer happiness language with the language of revenue, saved revenue, efficiency, and business outcomes. The data episodes widen the lens. Vikram Shroti and Safdeh Raza describe go-to-market as a series of data problems, from lead prioritization to churn risk and upsell motion. Tarush Agarwal's discussion of 5x turns fragmented data tooling into a question of how business users can move quickly without over-engineering. The show also reaches beyond conventional RevTech. Antithesis brings in deterministic simulation testing, while Mateusz Sadowski's VoxBlove conversation gives robotics teams a place in the same broader story about debugging complex systems. AI is not treated as decoration. It appears as execution support, sales intelligence, workflow automation, and even a possible shift toward agent-led growth, where software agents influence discovery and buying decisions. The result is a commercially fluent show with a useful skeptical streak. It listens for the gap between what platforms promise and what teams can sustain. That makes it especially useful for operators who have seen enough software demos to know that the real question starts after purchase.
Made for: Built for SaaS founders, sales leaders, RevOps operators, customer success leaders, and GTM technologists who want practical context on revenue systems. It also suits buyers evaluating sales, data, AI, and automation tools.
What sets it apart: The show does not stop at product categories or founder narratives. It keeps asking how tools change workflows, what breaks during implementation, and how leaders measure whether anything improved.
Market Genius AI prioritizes the importance of processes, measurement, and technical alignment. By utilizing methodologies, tools, and best practices, we facilitate the effective management and optimization of our go-to-market strategy. Our emphasis on success criteria and technical compatibility informs our decision-making and guarantees that solutions align with business objectives.
Based on 5 episodes we listened to · September 2026
Market Genius AI makes the operational consequences of B2B revenue technology easier to see, measure, and question.
Market Genius AI follows the operational problems that appear when B2B revenue strategy meets actual systems, teams, and incentives. Guest interviews move from career and company origins into practical questions about software procurement, sales execution, customer retention,…
A sales methodology gets its big launch; you get the awkward question of who coaches it tomorrow.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A plainspoken look at why sales execution and adoption keep stalling.
Market Genius AI keeps its focus on sales execution, where workflow, coaching, and daily adoption can drift apart. Ryan Valancourt's past as a newspaper reporter gives the conversation a practical edge, and the hosts keep steering it back to what changes in real work, not just…
A RevOps discussion that treats software buying as an execution decision, with real attention to procurement and spend controls.
Joe Aurelia frames RevOps as an execution problem, not a simple software purchase, and the point lands because he connects tool choice to workflow fit.
Customer success is framed in revenue, savings, efficiency, and CFO-level numbers.
The episode treats customer success like a finance conversation. Andrea Bumstead pushes CS leaders to talk in revenue, savings, efficiency, and outcomes instead of softer language about happiness or adoption.
A grounded look at Lucia's origin story and the shift toward agent-led discovery.
Lucia's origin story is framed around a practical problem: helping people find business contact details and profiles on the web. Recruiters were the first target, but sales soon became the clearer fit as users wanted more and were willing to pay for it.
A practical case for consolidating fragmented data workflows before they become harder to manage.
Market Genius AI frames a familiar business problem: the data stack has sprawled across too many vendors and categories, and AI has made the mess harder to ignore.
Rob Walling on bootstrapped SaaS growth, plateaus, and exits — with founders who lived them.
Abbey Ashley's playbook for turning your job skills into a virtual assistant business.
SaaS operators on scaling, pricing and AI, metrics included.
Alex Blumberg interviews guests like Megan Phelps-Roper and Shane McAnally about failure and reinvention.
Jamal Elmich of Walcome Clay Search says AI lets one person do "the task of four people," pointing to Coinbase's 700 layoffs and its search for "AI native talent." Brian Lee of Subgraph describes Facebook recruiters becoming full-cycle as coordinator roles are cut, and his own CTO shrinking builds from a month or two to a day.
Ryan Valancourt starts with a career pivot.
RevOps starts here as a job Joe only later had a name for.
This episode discusses whether the developer tools company Antithesis, which recently raised $105 million in Series A funding for its deterministic simulation testing platform, will scale or fail.
The founders of LVT AI discuss how their background in data products led them to build an AI-powered platform that automates go-to-market data processes like lead prioritization and churn risk analysis.
This episode features an interview with Mateusz Sadowski, a Developer Relations Engineer at Foxglove, discussing how their platform helps robotics teams visualize and debug robot sensor data in real-time.
Yoni Tsuruya traces Lucia’s start to a simple need for business contact details and profiles.
Andrea Bumstead explains how she moved from VP of customer success to founding CS Impact, a fractional consulting services company focused on turning customer success into revenue for companies in the $50 million to $150 million range.
Tarush Agarwal joins Market Genius AI to explain why 5x exists.
This episode features an interview with Qobra's CEO and Head of Partnership discussing their platform that automates sales commission calculations for tech companies to address issues like errors, disputes, and lack of trust in traditional systems.
This episode features Paul Keegan discussing how Revoro provides revenue operations as a service to help B2B companies optimize and scale their go-to-market strategies through data-driven approaches and fractional team support.
This episode features an interview with Daniel Gray, CEO of Lerno.ai, discussing how his company's customer intelligence platform helps businesses optimize go-to-market strategies through data analysis and personalized engagement.
This episode features Jacob Remsky, CEO of Swift AI, discussing how their AI-powered platform automates CRM data capture from sales calls to enhance revenue operations and productivity.