What AI Knows About Your Buyer with Scott Gillum

Most forecast calls run on what the rep says, not what the customer said. According to Mark Siciliano, that’s exactly where revenue gets lost, and it has a name: the discipline gap. In this episode, John sits down with Mark Siciliano, Global VP of Sales Enablement & Productivity at Prometheus Group and author of Working the Gray: Where Revenue Leadership Actually Happens. They talk about the distance between the strategy announced at kickoff and the standards actually enforced week after week. Mark shares his path from CPA at Pricewaterhouse to helping build the Oracle Sales Academy and scaling revenue teams at Marketo, Demandbase, Drift, and Sprinklr. He also explains why the best CROs he worked with always asked the uncomfortable question before week 12. If you’re a CRO tired of forecast surprises, a first-line manager with no time to coach, or an enablement leader who knows what should happen but can’t make it stick, this conversation is for you. You’ll hear why evidential deal reviews beat story time, how a weekly cadence fills the coaching gap at no cost, and which questions tell you if a deal is real. Want to build a sales team that can hold its own in the AI era? Visit https://www.jbarrows.com and learn how you can Make It Happen. What You’ll Learn What the discipline gap is, and why it shows up in every pipeline review, forecast call, and kickoff that never changes a single behavior two weeks later Why coaching isn’t what’s broken, and how a weekly deal review cadence gives first-line managers a standard that costs nothing to run Why “evidential” separates real deals from story time, and why a defined next step on the calendar now matters more than a summary email How the discipline gap differs from MEDDPICC and BANT, and why CRO-level questions need to be asked in week two, not week 12 Why AI creates time for judgment, and the questions that tell you if a deal is real, from the business problem you’re solving to John’s three go-live questions

Any buyer can now run a prompt five minutes before your call and walk in knowing almost as much as your rep. That should make the rep less relevant. According to Brian Benfer, it makes them more important than ever. In this episode, John sits down with Brian Benfer, CRO at Salesloft, to talk about where the sales rep fits in the AI era, why buyers using AI are ending up in analysis paralysis instead of self qualified, and why AI's real step function gain in sales productivity is opportunity volume, not faster cycles. Brian also shares his path from running a competitive swim program to leading 300 reps through the Citrix acquisition, and what coaching taught him about bringing teams together around one outcome. If you're a sales leader rethinking what to train your reps on, a rep wondering where your value sits now that research is a click of a button, or a CRO leading through mergers and constant AI change, this conversation gives you the three competencies sellers need now, why curious sellers get the truth while scripted sellers lose deals they could have won, and how to build trust in AI recommendations when most leaders don't trust the data underneath them. Want to build a sales team that can hold its own in the AI era? Visit www.jbarrows.com and learn how you can Make It Happen. What You'll Learn Why the sales rep is more important than ever when buyers using AI get lost in analysis paralysis, and why the martini funnel doesn't match what Brian sees in real deals Why curious sellers who let the conversation wander earn trust and get the truth, while sellers with blinders on lose deals they could have won The three competencies reps need on top of the fundamentals: business acumen for CFO and CIO conversations, technical acumen, and project management across growing buying committees Why AI delivers marginal gains on stage velocity and conversion rate, no change to deal size, and a potential doubling of opportunity volume How Salesloft crowdsources AI wins through its AI Ops Factory, and how logging and measuring AI recommendations builds trust when 67 percent of revenue leaders don't trust their AI data

Only nine percent of people at your company are excited about AI. Fifty two percent are more anxious about it than excited. If your rollout plan only accounts for the nine percent, you already know how this ends. In this episode, John sits down with Dr. Gleb Tsipursky, a behavioral scientist and author of The Psychology of AI Adoption at Work, to talk about why 95 percent of AI pilots fail to scale, the three distinct types of resistance blocking your team from adopting AI, and the leadership policy that lets companies grow revenue and headcount at the same time instead of cutting jobs to pay for efficiency. If you're in sales leadership, building or rebuilding a team for the AI era, or just trying to get your own reps to actually use the tools you already paid for, this conversation gives you a practical playbook for the two different rollouts your company needs, one for the people already excited about AI, and one for everybody else. Want to build a sales team that can hold its own in the AI era? Visit www.jbarrows.com and learn how you can Make It Happen. Get the Book on Amazon: The Psychology of AI Adoption at Work: From Resistance to Results https://www.amazon.com/dp/1647127491?lv=shuf&channelId=510&plpRedirect=mhFallback What You'll Learn Why 95 percent of AI pilots fail to scale, and the three psychographic profiles (AI alarmists, pragmatic resistors, reluctant adopters) blocking adoption long before rollout Why AI forward companies grow revenue nine percent faster and headcount six percent faster than AI backward competitors, and the leadership policy that makes both true Why only about ten percent of the old apprenticeship grind was ever formative, and what junior employees need to learn now that AI does the research Why Gleb tells most people to skip college unless their career requires a licensed degree, and how to use AI as a personalized learning roadmap instead Why the debate over AI's existential risk isn't a side conversation from adoption strategy, and what Anthropic's own head of research has said about it

Half of your buyers already picked their shortlist before your sales team even knew they existed. The only question left is whether your team knows what they typed in to get there. In this episode, John sits down with Tim Sanders, Chief Innovation Officer at G2 and author of five books including Love Is The Killer App, to talk about why half of all software buyers now start their research inside ChatGPT, how BDRs have quietly become the frontline of business intelligence for companies trying to win AI search, and why the one thing AI still can't replace in a sales rep is domain expertise. If you are in sales, sales leadership, or building a go-to-market team that needs to hold up in the AI era, this conversation gives you a practical way to think about what AI search means for your pipeline, why your BDRs might be sitting on your most valuable data, and how to make sure the human in the deal still has something the algorithm doesn't. Want to build a sales team that can hold its own in the AI era? Visit www.jbarrows.com and learn how you can Make It Happen. What You'll Learn Why half of all software buyers now start their research inside ChatGPT or Gemini, and are eighty percent through their purchase before a sales rep ever talks to them Why the BDR, not the AE, has become the frontline of business intelligence for companies trying to win inside AI search Why Tim says today's best AE is a sommelier, not a closer, and what that metaphor means for a buyer drowning in AI-generated options Why verifier's law explains what AI still can't be trusted to do in sales outreach, and why domain expertise is the one thing that makes a generalist model useful

The Apple Store almost didn't happen. Not because the idea was bad, because it was too big for anyone but Steve Jobs to say yes to. In this episode, John sits down with Ron Johnson, the retail executive who built the original Apple Store and Genius Bar alongside Steve Jobs, led Target's design transformation, and later served as CEO of JC Penney, to talk about why he turned down a scaled down test of the Apple Store concept, what actually went wrong with the JC Penney pricing overhaul he's still willing to own, and why he tells people to challenge every answer AI gives them the same way he had to challenge decades of accepted retail wisdom. If you are in sales, sales leadership, retail, or building anything that requires a team to believe in an idea before the proof exists, this conversation gives you a practical way to think about pitching big ideas instead of small tests, building a culture of believers instead of skeptics, and using AI to speed up research without letting it make the decision for you. Want to build a sales team that can think as boldly as Ron Johnson built the Apple Store? Visit www.jbarrows.com and learn how you can Make It Happen. What You'll Learn Why Ron turned down a scaled down test of the Apple Store, and the four billion dollar answer from Steve Jobs that changed his mind Why doubling Target's kids' clothing business came down to something as simple as how the sizes were labeled Why the JC Penney pricing overhaul improved customer satisfaction but still failed, and why Ron says the mistake was the pace, not the idea Why Steve Jobs wanted believers on his team, not skeptics, and how many skeptics is actually too many Why Ron says to challenge every answer AI gives you before you accept it, the same way he had to challenge decades of accepted retail wisdom