Industrial companies apply extraordinary rigor to manufacturing, quality, and operations, yet their approach to revenue growth is often far less disciplined. Founder and principal Ed Marsh joins Greg to explore what changes when manufacturers start treating marketing and sales like an integrated system that can be measured, optimized, and continuously improved. Ed brings decades of experience across engineering, the Army, industrial sales and marketing, international business, capital equipment, and consulting. Today, through Ed Marsh Consulting, he works primarily with middle-market industrial companies and private equity-backed manufacturers on organic revenue growth, spanning strategy, marketing, sales, technology, talent, and executive leadership. A central idea behind Ed’s work is Overall Revenue Effectiveness, a framework inspired by Overall Equipment Effectiveness in manufacturing. Instead of accepting leakage throughout the customer journey as inevitable, Ed argues that companies should examine every stage of the revenue engine, from understanding the buyer and generating demand to qualifying opportunities, coaching salespeople, and closing business. In this conversation, Greg and Ed explore: Why industrial buyers care far more about operational outcomes than product features, and why sellers need to understand how a solution affects KPIs, staffing, downtime, shipments, capacity, and the buyer’s day-to-day realityWhy identifying customer pain is only the beginning of a sales conversation, and why the real focus should be the business outcome a customer is trying to achieveHow Ed developed the Overall Revenue Effectiveness framework by treating organic revenue growth as an integrated system similar to a manufacturing operationWhy small inefficiencies across marketing and sales compound into extremely low overall revenue effectiveness, even when individual parts of the system appear to be performing reasonably wellWhy manufacturers would never tolerate the level of yield loss in production that they routinely accept in salesThe mindset shift required for leadership teams to bring the same accountability, rigor, process, and measurement to go-to-market functions that they already apply to operationsWhy private equity-backed industrial companies often provide a fertile environment for transformation, while family-owned businesses may have completely valid reasons to prioritize margins, stability, or lifestyle over aggressive growthWhat changes when Ed advises startups building AI-enabled software for manufacturers, and what remains constant about focusing on customer outcomes rather than product capabilitiesWhy a startup’s first salesperson can shape the company’s entire perception of sales, either reinforcing negative assumptions or establishing a powerful go-to-market cultureWhat founders should look for in an early sales hire, including business acumen, creativity, consultative selling skills, entrepreneurial instincts, and the ability to build systems while actively sellingWhy hiring based primarily on resumes and interviews creates problems, and how a more carefully engineered and empirically informed hiring process can improve sales talent decisionsHow founders should navigate the difficult transition when the person who helped build the early sales motion is no longer the right person to lead the next stage of growthWhy honesty, clear expectations, coaching, and a distinction between being "nice" and being "kind" matter when making difficult leadership decisionsHow AI-first CRM platforms are transforming CRM from a manually maintained database into a memory, context, and orchestration layer that can automatically capture emails, meetings, messages, buying signals, and opportunity informationHow AI can help sales managers identify coaching opportunities, prepare targeted role-playing exercises, improve forecasts, and spend more meaningful time developing their teamsWhy sales coaching and role playing have declined despite their importance, and why companies often expect salespeople to perform without the structured onboarding and training provided to other functionsHow manufacturers can begin experimenting with AI by building Claude skills, connecting tools through MCPs, and automating research and preparation rather than simply producing larger volumes of generic outreachEd’s own experiment building an AI-powered prospecting workflow that identifies ideal accounts, finds relevant contacts, enriches data, conducts research, populates CRM, and prepares prospecting blocks automaticallyWhy Ed believes sales is currently the bigger bottleneck than marketing, driven by fundamental changes in how buyers research, assess risk, and make purchasing decisionsThe danger of vague claims around "value" in industrial marketing, and why companies need to communicate specific, differentiated outcomesWhy ethical guardrails such as the Foreign Corrupt Practices Act matter even when commercial pressure is intense, and the responsibility leadership teams have to reinforce the reasoning behind those standardsFor industrial leaders, founders, sales teams, and investors trying to improve organic growth, this conversation offers a practical look at what happens when go-to-market performance is treated with the same seriousness as the factory floor, and how AI could make that revenue engine dramatically more intelligent. Ed Marsh Consulting Website: https://www.edmarshconsulting.com/ Ed Marsh’s Youtube Channel: www.youtube.com/@EdMarsh Connect with Ed on LinkedIn: https://www.linkedin.com/in/edwardbmarsh/ Connect with Ed on Twitter/X: https://www.linkedin.com/in/edwardbmarsh/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregtoroosian/
