Ep.122 - Measuring Agentic AI, ROI, and the Future of GTM Benchmarks with Ray Rike - Part 1

General Episode Description:In this episode of Selling Intelligence, Mark Petruzzi and KK Anderson sit down with Ray Rike, founder and CEO of Benchmarkit, to tackle one of the most critical questions in enterprise AI today: how do you actually measure success in agentic AI programs?Ray shares why most AI initiatives are stuck in “pilot purgatory,” the common mistakes companies make when trying to automate broken processes, and why an AI-first mindset requires a complete rethink of data, workflows, and metrics. The conversation also explores how go-to-market teams should define ROI, what benchmarks matter in an AI-driven world, and why traditional SaaS metrics are no longer enough. What You’ll Learn:Why AI Projects Stall: The real reasons most agentic AI initiatives never scale beyond pilots.AI-First vs Human-First Thinking: How redesigning processes for AI fundamentally changes outcomes.Data Readiness Matters: Why poor CRM data and lack of governance derail AI success.Measuring AI ROI: The new metrics leaders must track to justify AI investment.The Shift in GTM Economics: Why cost structures and efficiency benchmarks are changing fast.Key Topics:“Pilot purgatory” and lack of enterprise-wide AI focusThe importance of data hygiene and enrichment for AI successRedesigning processes with AI at the center, not as an add-onThe rise of vertical AI and pre-built agent workflowsDefining success with leading, mid-term, and lagging metricsCAC ratio vs AI-driven efficiency benchmarks“COGS is the new CAC” and shifting cost structures in AI-native companiesRevenue per employee as a proxy for AI productivityToken consumption and cost predictability challengesBuilding smaller, modular agents instead of large monolithic systemsThe four-layer measurement framework: productivity, effectiveness, efficiency, and ROIGuest Spotlight: Ray RikeRay Rike is the founder and CEO of Benchmarkit, a leading source of B2B SaaS performance benchmarks with data from over 1,800 companies. He is also the host of the AI to ROI podcast and a founding member of the SaaS Metric Standards Board. With decades of experience as a go-to-market operator and executive, Ray focuses on helping companies move from intuition to data-driven decision-making in both SaaS and AI-driven environments. Resources & Mentions:BenchMarkitAI to ROI podcastConcept: Agentic AI in go-to-marketConcept: “Pilot purgatory” in AI adoptionConcept: AI-first process designConcept: COGS as the new CACOpenAI Frontier AllianceVertical AI platforms (example: Harvey for legal)Metrics framework: productivity, effectiveness, efficiency, ROI🎧 Listen now and follow Selling Intelligence for more insights on AI measurement, GTM strategy, and building data-driven revenue engines.Mark (00:31)Welcome to Selling Intelligence. We're joined today by someone who might have had the honor and privilege of calling both a collaborator and a friend. Ray Reich is the founder and CEO of BenchMarket, the industry's most comprehensive source of B2B SaaS performance benchmarks with data from over 1,800 companies.Ray is also the host of the AI to ROI podcast. He's a founding member of the SAS Metric Standards Board. And full disclosure, my co-author on data and diagnosis driven selling, Ray has spent decades as a go-to-market operator, having served as president of Simply Learn, CEO at Higher Mojo, SVP at Moment Feed,and multiple times SVP market and sales and SaaS companies before founding Benchmark it roughly five years ago. And they have a singular mission, give every B2B reoccurring revenue software operator access to data driven benchmarks so they stop flying blind. Today, we're going, well, first off, let me welcome you, Ray. Thanks so much for joining us.Ray Rike (01:43)Thank you, Mark. Sorry that I'm so old that you had it took that long to read everything I've done.Mark (01:47)Exactly. Well, you know what? That's also a good thing because you've done some amazing things throughout your career and you're not that old. So, yes, let me tell you, let's talk a little bit about today and where we're going to go on this podcast. ⁓ What we'd like to do is tackle what might be the most important and for sure most underserved question in enterprise AI right now.How do you actually measure the success of agentic AI programs? And even more specifically, what does that look like for go-to-market functions? We'll dig into what benchmark its data, what is it revealing, where the industry is setting the bar, and what separates teams that are generating real ROI from those stuck in pilot purgatory. Ray, welcome to Selling Intelligence.Ray Rike (02:36)Okay, excited to be here. Let's dive into it.Mark (02:39)All right, so Ray, you've been collecting SAS performance data for years, and now you're turning that lens on AI. From what you're seeing at Benchmark and in hearing on your podcast, what's the core reason most agentic AI programs never graduate from pilot stage? Is it a data problem, ...