『Ep. 144 – Building Predictable Pipeline and Breaking Revenue Silos with Thurman Sneed - Part 2』のカバーアート

Ep. 144 – Building Predictable Pipeline and Breaking Revenue Silos with Thurman Sneed - Part 2

Ep. 144 – Building Predictable Pipeline and Breaking Revenue Silos with Thurman Sneed - Part 2

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 General Episode Description:In Part 2 of Selling Intelligence, Thurman Sneed, Chief Revenue Officer at Marigold, returns to show how the same “do the math” mindset can transform everything from account coverage and customer conversations to seller development and AI adoption. Thurman explains why Marigold moved from a round robin model to vertical specialization, how CSMs and SDRs can grow into revenue generating roles, and why a tighter ICP helps teams focus their resources where they can create the most impact.The conversation also explores how sellers can use customer data and benchmark insights to build stronger business cases and quantify value for executives. Thurman shares how his team is applying AI to sales coaching, account preparation, pipeline generation, and churn prediction, while keeping human judgment at the center. The goal is not AI for the sake of AI. It is using technology where it can genuinely improve speed, capacity, decision making, and revenue outcomes.What You’ll Learn:Vertical Specialization: Why moving away from round robin account assignment can help sellers develop deeper industry expertise and become trusted advisors.Turning CSM Knowledge into Revenue: How customer success teams can use their existing customer knowledge and relationships to identify expansion opportunities.Building the Next Generation of Sellers: Why giving SDRs opportunities to own and close smaller deals can accelerate their development and create stronger career paths.Getting Serious About ICP: How focusing on the right markets and customers can improve efficiency across sales, marketing, and customer success.Selling with Customer Math: How benchmark data and ROI calculations can help sellers turn value propositions into compelling executive business cases.AI That Earns Its Place: How AI can improve sales preparation, coaching, research, pipeline generation, and decision making without removing human judgment.Using AI to Predict Churn: Why clean, accessible data is critical for identifying customer risk before it becomes a lost account.Key Topics:Vertical sales specializationIdeal customer profile strategySDR development and career progressionCustomer success expansion opportunitiesROI based sellingBenchmark data in sales conversationsExecutive level value sellingAI enabled sales coachingSales productivity and capacityAI and revenue team efficiencyChurn prediction and customer retentionHuman judgment in AI driven salesGuest Spotlight: Thurman SneedThurman Sneed is the Chief Revenue Officer at Marigold, where he leads sales, customer success, revenue operations, and marketing. With a career that began in accounting and auditing before expanding into operations and revenue leadership, Thurman brings a distinctive financial and operational perspective to the CRO role. His leadership philosophy centers on disciplined execution, data driven decision making, cross-functional alignment, and helping teams turn ambitious revenue goals into practical, achievable actions.Resources & Mentions:MarigoldVertical coverage modelsIdeal Customer Profile strategyROI calculators and benchmark dataAI enabled sales coachingChurn predictionThe Two Millimeter Club by AGS🎧 Listen now and follow Selling Intelligence for more GTM insights from leading voices in sales, revenue, and business growth. Subscribe wherever you get your podcasts.Mark (00:38)Welcome back to Selling Intelligence. If you're just joining in, you're in the right place. And if you come straight from part one, we picked up where we left off.KK Anderson (00:48)In part one, Thurman Sneed made three things clear. He came into the revenue seat through accounting and operations rather than through a quota. And that lens is why he thinks in arithmetic. He discovered that the individual level math he assumed his managers were doing with sellers was not actually happening. And he treats every function inside the company as a customer, which is what makes the outside selling work.Mark (01:14)So in part two we get practical. Thurman rebuilt the coverage model, taught people who have never carried a quota to carry one, pointed the same math at his customers, and now deciding where AI belongs in all of this. Thurman, welcome back. Let us pick up right here.Thurman (01:33)Thank you, Mark.Mark (01:34)So Thurman,Rebuilding the coverage model. So Thurman, you inherited a model where accounts were assigned round robin and reps were specialized by platform. What was the first change you made and why that one first?Thurman (01:48)Yeah, the first thing that we did is we decided that we were going to have a vertical coverage model as opposed to round robin. And I made that first because I wanted fo I wanted our sales team to learn the customer, to, to learn the terminology, to be very specific, and to enjoy, what they were doing every day, as opposed to today I wake up and I'm gonna be serving.this industry, the next day, I get a hospital, the next day I get an amusement ...
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