Selling AI

Warren Kucker

Sellers learning from sellers how to navigate the new world of selling AI, with AI.

  1. 4d ago

    AI Can Finally Kill CRM Data Entry. That Might Be the Problem.

    Eddie Reynolds, CEO of Union Square Consulting, shares insights on rev ops, CRM data entry, and leveraging AI in GoToMarket strategy. He discusses the impact of sales behavior, CRM implementation, and the role of AI in sales processes. The conversation delves into the challenges of deal qualification, stakeholder engagement, and the need for strategic sales approaches. The conversation covers the challenges of sales pipeline management, the impact of AI on sales processes, and the evolving role of CROs in tech-driven sales organizations. It also delves into the importance of customer journey mapping and the need for foundational definitions and processes in go-to-market strategy and operations. Takeaways Rev ops and AISales behavior impactCRM implementation challenges Sales pipeline management requires clear qualification criteria and visibility into the sales process.AI tools can automate data entry, provide coaching, and improve deal management for sales reps.Customer journey mapping and foundational definitions are essential for effective go-to-market strategy and operations. Chapters 00:00 Rev Ops and AI in GoToMarket Strategy09:40 Deal Qualification and Strategic Sales Approaches23:28 Sales Pipeline Management Challenges29:20 Impact of AI on Sales Processes36:37 Analytical Approach to Sales Process GTM Science Podcast: Spotify: Here & Apple: Here GTM Efficiency Pyramid Framework: HereGTM  Metrics Framework: Here GTM Science Newsletter: Here Eddie Reynolds' LinkedIn: Here

    46 min
  2. Apr 29

    "We've Had All This Data for 40 Years. The Actual Outcomes Have Not Changed."

    Jack Siney, co-founder and CRO at Front Race, discusses the challenges of implementing AI in sales, emphasizing the importance of the human element and the need for a middle layer in the sales process. He highlights the metric engine as a key lever for leveraging AI in the sales process and addresses the small sample size problem through behavior analysis. The conversation delves into the impact of AI and data on sales motions, challenges post-COVID, unique success variables, data-driven insights, behavioral analysis with AI, AI and data utilization, AI solutions and sea change, AI noise and automation, future of go-to-market, the great upheaval, efficiency in sales and marketing, buyer's journey and automation, and AI adoption and implementation. The discussion highlights the importance of company-specific data, challenges of AI noise in the market, and the impact of AI on workforce and market dynamics. Takeaways Importance of the human element in AI implementationLeveraging the metric engine for AI in sales AI's impact on sales motions and data insightsChallenges and opportunities in AI adoption and implementation Chapters 00:00 Introduction to Jack Siney and Front Race05:10 The Human Element in AI Implementation15:32 The Metric Engine and Leveraging AI in Sales26:02 Sales Motions and Data Insights31:13 AI and Data Utilization36:41 Future of Go-to-Market42:06 Efficiency in Sales and Marketing

    45 min

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Sellers learning from sellers how to navigate the new world of selling AI, with AI.