Podcasts about BDR

Summary In this episode of the AI for Sales podcast, host Chad Burmeister welcomes Arvind Murali, co-founder and chief data officer at Data Color AI. They discuss the transformative impact of AI on customer experience, the importance of trust and value in AI projects, and the misconceptions surrounding AI and job replacement. Arvind emphasizes the need for human augmentation rather than replacement, and they explore emerging AI technologies and the ethical considerations that come with them. The conversation concludes with insights on the skills sales professionals need to thrive in an AI-augmented world. Takeaways AI projects often fail due to lack of trust and value. The three pillars of AI are value, trust, and scale. AI can significantly enhance customer experience and efficiency. Augmentation of human jobs is the key benefit of AI. Empathy and creativity cannot be replaced by AI. AI governance is a shared responsibility among stakeholders. Emerging AI technologies are evolving towards voice-activated interfaces. Sales professionals must learn to leverage AI tools effectively. AI can lead to significant reductions in customer service workload. The future of AI will require a focus on ethical considerations. Chapters 00:00 Introduction to AI for Sales Podcast 03:55 The Three Pillars of AI: Value, Trust, and Scale 08:46 Transforming Customer Experience with AI 13:47 Success Stories: Real-World AI Impact 18:24 Misconceptions About AI and Job Replacement 23:15 Emerging AI Technologies and Their Future 28:02 Ethics and Governance in AI 32:40 Skills for Success in an AI-Augmented World The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this conversation, Chad Burmeister interviews Michelle Donnelly, Chief Revenue Officer at Crescendo, discussing the transformative impact of AI on customer experience. They explore how Crescendo's AI-native platform enhances customer interactions, the integration of human agents, and the efficiency gains from AI implementation. Michelle shares insights on industry applications, ethical considerations, and the future of AI in sales, emphasizing the importance of human touch in customer service. Takeaways Crescendo has achieved $100 million in AI ARR in just two years. AI chatbots can accurately handle 98% of customer inquiries. The integration of AI and human agents enhances customer experience. AI can transform customer service into a profit center. Speed and efficiency are critical in customer interactions. AI can provide insights that improve product offerings. Companies can achieve significant cost savings with AI implementation. The human touch remains essential in customer service. AI can help new sales hires become productive faster. Ethical considerations in AI deployment are crucial for customer trust. Chapters 00:00 Introduction to Crescendo and AI in Customer Experience 02:49 Transforming Customer Experience with AI 06:00 Industry Applications of AI in Customer Service 10:55 The Role of AI in Enhancing Human Agents 16:26 Efficiency Gains and ROI from AI Implementation 18:43 The Future of AI in Sales and Customer Interaction 22:12 Ethical Considerations in AI Deployment 24:29 The Future of Physical AI Agents 26:57 Skills for the Future Sales Workforce The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Most teams treat content like a marketing task. Pritesh Vora treats it like a revenue engine.In this episode, Pritesh breaks down a refreshingly disciplined approach to building a content engine that connects strategy, quality, and real business outcomes. Drawing from his experience scaling B2B companies 8x and 30x—and building revenue systems from the ground up—he shares how content can become the central fabric across marketing, sales, product, and customer success.His core belief is simple but demanding: content must make a real human's life better. If it doesn't, it won't compound.We explore how to plan quarterly content with clarity, how to tie every content promise to a revenue moment, and why defining what you won't do might be the most strategic move your team makes.If your content calendar feels busy but disconnected from results, this conversation will help you rebuild it with intent.What you'll learn in this episode:Why content should function as a company-wide revenue lever—not just a marketing channelThe concept of a “moral compass” for content—and how to use it to guide decisionsHow to define reader-centered promises instead of chasing keywordsHow to connect each content theme to a specific revenue moment (pipeline, win rate, acceleration)Why audience growth and reader gratitude are powerful quality signalsThe practical value of creating a “no-go list” for your quarterly planHow to prevent content teams from becoming reactive request machinesHow alignment documents and clear agreements protect focusAbout Pritesh VoraPritesh Vora is a B2B growth leader and self-described revenue engine builder. With over 13 years in the startup ecosystem, he has led business development, growth, and marketing teams while helping companies scale 8x and 30x across multiple stints.An engineer by training, Pritesh transitioned into growth and revenue leadership, eventually founding and exiting his own company. Most recently, he helped scale Sprinto from early-stage traction to thousands of customers, growing revenue from under $300K to multi-million dollars while building a 50+ person cross-functional team spanning marketing, BDR, partnerships, and operations.His approach blends systems thinking with strategic clarity—tying content directly to revenue outcomes while keeping the reader at the center.Connect with Pritesh:Pritesh's LinkedIn ProfileIf you're building content but want it to move pipeline, close deals, and strengthen positioning, this episode offers a structured way to think—and execute.Text us what you think about this episode!

"Bring product people to conferences. That's what sells more than a BDR wearing a vest."   In this episode we welcome back Brian Davis to discuss the strategic side of the fraud and fintech conference circuit. Moving beyond simple networking, the conversation highlights how to prioritize meetings based on contract size, the evolving dress codes of the industry, and the distinct differences between traditional massive conferences and intimate, practitioner-led retreats. Brian shares his transition from the practitioner to the vendor side, offering a unique look at how companies plan their booth presence and why "double opt-in" meetings are becoming the gold standard for high-value networking. From the nuances of curated industry events like Safeguard to the logistics of navigating major shows like MAG and MRC, this episode provides a professional roadmap for making the most of conference season without the burnout.   Safeguard Events Colorado Event: https://www.safeguardevent.com   Brian Davis: https://www.linkedin.com/in/briandavis21/

Summary In this episode of the AI for Sales podcast, host Chad Burmeister interviews R.A. Wilson, author of 'In Search of the Master Prompt' and founder of Writers Forge. They discuss the transformative impact of AI on writing and customer experience, the misconceptions surrounding AI, and the importance of maintaining a personal touch in automated processes. R.A. shares insights on emerging AI technologies, the ethical considerations of AI use, and the significance of narrowing one's niche in writing. The conversation emphasizes the collaborative potential of AI in enhancing the writing process while retaining the essential human element. Takeaways AI has transformed the way creators connect with audiences. Personalization in marketing is increasingly important with AI. AI is a tool that requires teaching and collaboration. Misconceptions about AI include the belief that it can solve all problems. The human touch is essential in writing and marketing. Emerging AI technologies are combining various functionalities. Ethics in AI usage falls on the creators and users. Narrowing your niche can lead to greater success in writing. Empathy for humanity is crucial for writers using AI. AI can help refine manuscripts but human oversight is necessary. Chapters 00:00 Introduction to AI in Writing 01:35 Transforming Customer Experience with AI 03:48 The Role of AI in Book Writing 05:20 Misconceptions About AI 07:18 Balancing Automation and Personal Touch 08:40 Emerging AI Technologies 10:22 Ethics in AI Usage 12:27 Skills for Aspiring Authors 15:04 Finding Your Niche in Writing 16:58 Final Thoughts and Advice The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Justin Trombold, an expert in generative AI and sales strategy. They discuss the importance of AI readiness, the transformation of customer experience through AI, and the balance between automation and personalization in sales. Justin emphasizes the need for organizations to align their AI strategies with their overall business objectives and to overcome misconceptions about AI's capabilities. The conversation highlights the potential of AI to enhance sales processes and improve customer engagement while addressing the challenges that come with implementing AI solutions. Takeaways Generative AI readiness is crucial for organizations. Data quality is just one aspect of AI readiness. AI can significantly enhance customer experience. Sales teams should focus on higher order tasks. Misconceptions about AI can hinder its adoption. Automation should augment human capabilities, not replace them. Collaboration across departments is essential for success. Understanding AI's limitations is key to effective use. Sales strategies must align with AI capabilities. AI can help sales reps focus on relationship building. Chapters 00:00 Introduction to AI in Sales 02:50 Understanding Generative AI Readiness 05:54 Transforming Customer Experience with AI 08:26 The Role of AI in Sales Strategy 11:30 Overcoming Misconceptions about AI 14:12 Balancing Automation and Personalization 17:09 Future of AI in Sales and Customer Engagement The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Mark McDougall from Clarity First about the transformative impact of AI on web design and customer experience. They discuss the evolution of website creation, the challenges of optimizing traffic, and the misconceptions surrounding AI's capabilities. Mark shares insights on the future of AI, its potential to replace jobs, and the importance of maintaining a human touch in sales. The conversation also touches on emerging technologies, ethical considerations, and the skills needed to navigate the AI landscape effectively. Takeaways AI is significantly changing the landscape of web design. The ease of creating websites has drastically improved with AI tools. Understanding customer needs is crucial for effective web design. AI can help in diagnosing client problems more effectively. Small business owners can now create websites with minimal friction. The importance of a strong value proposition on landing pages. Offering free value can enhance lead generation efforts. Misconceptions about AI can hinder effective implementation. AI will impact knowledge workers, but full replacement is unlikely soon. Sales skills remain essential, even with AI advancements. Chapters 00:00 Introduction and Guest Introduction 01:58 AI's Impact on Customer Experience 05:36 Optimizing Website Traffic and Case Studies 08:39 Misconceptions About AI 11:22 The Future of AI and Job Replacement 14:24 Augmentation vs. Replacement in AI 17:11 Emerging Technologies in AI 20:04 Ethics and Governance in AI 22:55 Skills for Navigating AI in Sales The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with John Rood, founder of Proceptual, about the critical importance of AI governance in organizations. They discuss the challenges posed by shadow AI, the ethical considerations in AI governance, and share success stories of implementing governance frameworks. The conversation also touches on misconceptions about AI implementation, the balance between automation and human touch, and the skills needed for future AI governance professionals. Takeaways AI governance is essential for organizations to avoid significant risks. Shadow AI is a growing concern as employees use unregulated AI tools. Implementing governance frameworks can enhance customer trust and compliance. Ethics in AI includes bias prevention, transparency, and explainability. Many organizations struggle with AI implementation due to lack of strategy. Automation should complement human efforts, not replace them. Future AI governance will require professionals who understand workflows. Large organizations tend to have better governance practices than smaller ones. NIST and ISO frameworks provide valuable guidelines for AI governance. Continuous training and awareness are crucial for effective AI governance. Chapters 00:00 Introduction to AI Governance 02:16 The Importance of AI Governance in Customer Experience 05:34 Challenges of AI Governance in Organizations 07:47 Success Stories in AI Governance Implementation 09:55 Ethics in AI Governance 13:31 Misconceptions About AI Implementation 16:57 Balancing Automation with Human Touch 21:35 Future Skills for AI Governance Professionals 23:13 Ecosystem of AI Governance Technologies 25:21 Advice for Aspiring AI Governance Experts The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Today we sit down with John Lack, Global Head of Sales Development at Airtable, to demystify the world of software sales as a profession. John breaks down the immense rewards of the industry—from earning six figures right out of college as a successful BDR to mastering the "autonomy, mastery, and purpose" of high-level tech sales. We explore why the BDR role is the most critical time in a career for building foundational grit and why 90% of AE struggles stem from poor front-end pipeline generation. John also shares his own unconventional journey, starting as a BDR at age 30 and scaling teams through massive growth phases at Oracle and MongoDB.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Drew Falkman, an expert in digital innovation and product management. They discuss the transformation of customer experience through AI, the rapid prototyping capabilities now available, and the importance of balancing AI with human touch. Drew shares insights on misconceptions about AI, the ethics surrounding its use, and the future of vibe coding. The conversation also touches on the startup culture, non-compete agreements, and emerging technologies in the AI space. Takeaways Drew Falkman is an expert in digital innovation and product management. AI is transforming customer experience by streamlining processes. Prototyping can now be done in days instead of weeks or months. Misconceptions about AI can lead to over-reliance on its outputs. It's crucial to validate AI-generated information. Vibe coding allows anyone to create apps without extensive coding knowledge. Emerging technologies are rapidly changing the landscape of AI. Non-compete agreements can hinder innovation in startups. Ethics in AI is a shared responsibility among developers and users. The future of AI will require a balance between automation and human involvement. Chapters 00:00 Introduction to AI for Sales Podcast 03:04 Drew Falkman's Journey in Digital Innovation 05:50 Transforming Customer Experience with AI 08:44 Case Studies in Product Development 11:14 Misconceptions and Ethics in AI 14:06 Balancing AI with Human Touch 17:01 Future of Tech and Vibe Coding 19:58 Exploring New AI Tools 22:39 The Importance of Sharing Ideas 25:21 Ethics and Responsibility in AI The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister interviews Kris Billmaier, EVP and GM of Salesforce Agentforce Sales. They discuss the rapid advancements in AI technology, particularly in the context of sales and customer experience. Kris shares insights on how AI is transforming sales processes, enhancing customer interactions, and the importance of balancing automation with human touch. They also address common misconceptions about AI, ethical considerations in its deployment, and the skills needed for success in an AI-powered sales environment. Takeaways AI is transforming customer experience by improving lead follow-up. Agentic AI can significantly enhance sales processes and efficiency. Salesforce's engagement agent automates lead outreach and booking meetings. Balancing automation with human interaction is crucial for sales success. AI misconceptions include fears of job loss and the belief that AI can operate independently. Ethical considerations in AI deployment are essential for trust and transparency. Great AI relies on high-quality data and context. Sales professionals should focus on data capture and insights for better performance. Feedback from users is vital for improving AI tools and features. AI can help sales teams never wake up to an empty lead list. Chapters 00:00 Introduction to AI for Sales and Guest Background 02:18 AI Transformation and Customer Experience 05:19 Agentic AI: Enhancing Sales Processes 09:44 Balancing Automation and Human Touch in Sales 12:01 AI Misconceptions and Ethical Considerations 21:43 Skills for Success in an AI-Powered Sales World The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

TikTok is full of viral sales advice, cold call scripts, and so called sales gurus claiming to have the perfect opener, the best objection handling, and the fastest way to book meetings. In this episode of Trench Tips from We Have A Meeting, we react to real TikTok cold calling videos and break down what actually works in B2B sales and what is actively hurting your results. We analyse cold call openings, tone, delivery, pattern interrupts, budget objections, performance based offers, and appointment setting tactics that sound impressive online but fail in real sales conversations. From 14 day free trials to too good to be true promises, we explain why much of the viral sales content on TikTok is misleading and how to approach prospecting the right way. If you work in SaaS sales, SDR, BDR, account executive, recruitment, agency sales, or any outbound sales role, this video will help you improve your cold calling, discovery calls, pipeline quality, and meeting conversion rates. You will learn: How to structure better cold call openers How to handle budget objections properly Why most sales scripts fail in real conversations How to qualify prospects without sounding pushy How to avoid low quality meetings What real buyers respond to on cold calls Why viral sales advice does not translate to real results Subscribe for weekly sales training, cold call breakdowns, objection handling, and practical B2B sales strategy from experienced sales professionals. Chapters 00:00 Welcome to TikTok Cold Calling: What Could Go Wrong? 00:38 Good News or Bad News: The Curiosity Hook Opener 01:53 The Awful News Opener: When Shock Value Backfires 03:00 Neil's Masterclass: Calm, Collected, and Budget Savvy 06:42 Am I Speaking With: The Data Qualification Debate 08:39 The Youngest Cold Caller: Boss Man Energy 11:00 Free Trials and Performance Pricing: Too Good to Be True? 12:19 The Quick 10-15 Minute Call Trap: Just Sell Now 14:27 Am I Right in Saying: The Jordan Belfort Move 17:30 Final Thoughts: The Meeting Obsession Problem #coldcalling #sales #b2bsales

This episode's guest is Susan Zuzic, the dynamic President of Global Accounts at PeopleAI and the company's top seller for six consecutive years. With nearly two decades of experience both in sales and sales leadership, Susan Zuzic shares her journey from her early days as a BDR at Eloqua to landing massive eight- and nine-figure deals in the enterprise space. Learn more at top1.fm

Prospectar en frío es algo fundamental para crecer, tener buenos resutados, mejorar tu posiciónamiento y muchas cosas más.Sin embargo hay muchas dudas y se cometen muchos errores en este paso fundamental para vender.Por eso en este episodio voy a dejar muy claro cuales son las claves de la prospección.Cosas como:✅ ¿Qué SI es prospectar y qué NO es prospectar?✅ Cuál es el VERDADERO objetivo de la prospección (que no es vender)✅ Cómo plantear la prospección y porque a la gente le cuesta tanto este paso.Además he abierto mi agenda para dar ponencias y charlas a equipos de ventas en el primer trimeste de 2026. Por eso, si tus comerciales necesitan que les pongan las pilas o una dosis extra de motivación para arrancar el año con fuerza puedes reservar una reunión conmigo y hablamos.Agenda una reunión conmigoY aquí tienes toda la información de mi patrocinador de esta temporada:El mejor hosting en español

In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Sid Bonatou, founder and CEO of Aira, a personal shopping AI that learns user preferences to enhance the shopping experience. They discuss how AI is transforming customer experiences, the importance of aligning business models with consumer interests, and the ethical considerations surrounding data privacy. Sid shares insights on the future of AI in shopping, the misconceptions about AI, and the skills sales professionals need in this evolving landscape. Takeaways Aira is a personal shopping AI that learns user preferences. AI is transforming shopping from a fragmented experience to a continuous one. The incentive model should align with consumer interests, not advertisers. Memory is crucial for enhancing user experience in shopping. Aira's AI companions will help users find the best deals and products. Ethics in AI revolves around transparency and consumer privacy. Sales professionals need to focus on understanding customer problems. Automation should enhance personalization in the shopping experience. Emerging AI technologies are reshaping consumer interactions. The future of shopping will prioritize user trust and data protection. Chapters 00:00 Introduction to Aira and Its Vision 02:32 Transforming Customer Experience with AI 07:15 Case Studies and Success Stories 08:18 Understanding AIRA: The Meaning Behind the Name 09:44 Market Trends and Business Models 11:39 AI Misconceptions and Innovations 14:37 Balancing Automation with Personal Touch 16:57 Emerging AI Technologies 19:07 Ethics in AI 22:02 Skills for Sales Professionals in the AI Era 23:16 Conclusion and Final Thoughts The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

How to cold call with iOS and Google call screening in 2026. Call screening on iPhone iOS and Google Pixel Android is changing the way cold calling works, but it does not have to kill your results. In this episode, we break down exactly how to cold call with iOS and Google call screening, why most sales reps fail to get through, and the simple tactics that actually work. If you are struggling to reach decision makers because of Google call screening, iPhone voicemail screening, or AI gatekeepers, this video shows you how to flip the script. We explain how call screening really works, what triggers instant rejection, and how to create curiosity gaps that get your call answered. You will learn how to sound like you belong, what not to say, and how to cold call smarter instead of harder. Whether you are an SDR, BDR, recruiter, or founder doing outbound, this video will help you get past call screening without lying, sounding salesy, or getting blocked. If you want to: Beat Google and iPhone call screening Cold call decision makers in 2025 Improve answer rates on mobile Stop getting screened out by AI This episode is for you. Chapters 00:00 Call Screening Is Your Best Friend, Not Your Enemy 00:54 Mobile vs Landline: What Number Are You Dialing From? 02:08 Less Is More: The Golden Rule for Beating Screeners 02:54 The Curiosity Gap: Making Them Want to Call You Back 04:02 The Call Back Strategy: I'm Just Returning Your Call 04:39 Message Encrypted: The Genius Cryptic Approach 05:36 Sound Like You Belong: The Power Generator Technique 06:47 The Judy Trick: Leveraging Gatekeeper Names for Credibility 07:49 He'll Know What It's Regarding: The Confident Redirect 08:49 Resilience Wins: Keep Trying Until You Get a Firm Yes or No 10:21 Your Task: Comment and Win £500

Si 2025 fue un año bueno pero te quedaste con la sensación de que se perdieron buenas oportunidades o hay mucho margen de mejora este episodio es para ti.No voy a hablarte de CRMs, automatizaciones o tecnicismos.Haré algo mucho más útil: saldrás con un plan de acción simple que podrás ejecutar de forma inmediata.En este directo de Linkedin expliqué: ✅  Las 3 decisiones que definen si 2026 será un año histórico o un año de supervivencia. ✅ Las 5 preguntas de venta consultiva que evitan el “mándame info” o el "lo vemos y te decimos algo".✅ El protocolo de la “semana complicada”: qué hacer cuando el mercado aprieta Ademas, ya he abierto mi agenda para dar ponencias y charlas para eventos y equipos de ventas. Por eso, si tus comerciales necesitan que les pongan las pilas y una dosis extra de motivación para arrancar el año con fuerza puedes reservar una reunión conmigo y hablamos.Agenda una reunión conmigoY aquí tienes toda la información de mi patrocinador de esta temporada:El mejor hosting en español

And we're back, Happy New Year from The Empowering Industry Podcast team! Charli is kicking off the new year with some exciting life updates for anyone who hasn't heard yet. And she is joined by Heather Ripley and they have a truly impactful conversation about telling your story. Heather Ripley is passionate about helping business owners in the skilled trades embrace the power of public relations to grow. Over her career, she's helped hundreds of contractors boost their visibility and reputation.Heather cares deeply about the people in the home service industry who keep our great nation running. She believes that these men and women are heroes who make sure that their customers' homes are safe, comfortable, and healthy every day.She has worked with hundreds of contractors during her career. Previously managing PR and marketing for Clockwork Home Services' three brands, she earned the company top-tier media exposure, including an appearance on “The Celebrity Apprentice” in 2009.It was through her work with Clockwork and her work with various public relations agencies that inspired her to open Ripley PR in her hometown of Maryville, Tennessee, in May of 2013. Ripley PR is a global public relations agency specializing in skilled trades, B2B, manufacturing and franchising.The company helps these businesses with their internal and external communications by garnering them earned media in various news outlets and in national trade publications. In addition, Ripley PR has helped businesses with crisis management, award and speaking submissions, and has ghostwritten communications from CEOs to other company thought leaders.Since opening Ripley PR, she has represented dozens of B2B tech and manufacturers, including BDR, CEO Warrior, Bradford White, Modine, ServiceTitan and XOi Technologies.Ripley PR has been listed by Entrepreneur Magazine as a Top Franchise PR Agency for seven consecutive years and was recently named as one of Newsweek's America's Best Public Relations Agencies for 2024. Heather Ripley was recently named a 2024 PRNews Top Women honoree in the business entrepreneur category.She is also the author of “NEXT LEVEL NOW: PR Secrets to Drive Explosive Growth for your Home Service Business,” which is now available on all audiobook platforms. For additional information, visit www.ripleypr.com.Find us @EmpoweringPumps on Facebook, LinkedIn,  Instagram and Twitter and using the hashtag #EmpoweringIndustryPodcast or via email podcast@empoweringpumps.com   

#320 | Matt Carnevale, Head of Community at Exit Five, joins Dave for a discussion about community building. They dive into a bunch of the lessons learned from building the Exit Five community over the last few years, including specific plays like onboarding, matchmaking, and moderation. If you're thinking about community building in 2026, this is a good primer; plus the guys give their opinion on what “community” actually means and whether you should build a private community like Exit Five or focus more broadly on community building.Timestamps(00:02) - – Matt's path from BDR to Head of Community at Exit Five (08:29) - – What “community” actually means (and what it definitely isn't) (13:14) - – Why most B2B communities fail before they ever get traction (17:54) - – Community vs. content: what gets people in vs. what makes them stay (22:29) - – Why Slack groups aren't a strategy (27:14) - – Treating community like a product, not a marketing channel (34:48) - – The role of trust, curation, and saying no to the wrong people (40:23) - – What community managers actually do behind the scenes (47:18) - – How in-person events changed the Exit Five community (53:28) - – The biggest lessons Matt's learned after two years building Exit Five Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Summary In this podcast episode, Chad Burmeister interviews Ben Roome, co-founder of Ethical Resolve, discussing the ethical implications of AI in various sectors. They explore how AI transforms customer experiences, the importance of governance and risk management, and the potential biases in AI systems. The conversation also touches on generative AI's opportunities and challenges, the future of human-AI interaction, and the skills sales professionals need to thrive in an AI-driven world. Takeaways AI is transforming customer experiences across all sectors. Ethical procurement of AI tools is crucial for organizations. Bias in AI can be mitigated but requires careful governance. Legal risks are significant when deploying AI systems. Generative AI presents both opportunities and challenges. Trustworthiness in AI is rooted in organizational culture. AI companions may lead to psychological impacts on users. Sales professionals must critically evaluate AI outputs. The future of work will involve retraining and adapting to AI tools. Emerging AI technologies require ongoing ethical considerations. Chapters 00:00 Introduction to Ethical AI 02:05 Transforming Customer Experience with AI 07:10 Risks and Governance in AI 10:19 Legal and Trust Risks in AI Deployment 13:38 Generative AI: Opportunities and Challenges 19:23 The Future of AI and Human Interaction 25:28 Emerging Trends in AI Ethics 28:58 Skills for Sales Professionals in the AI Era The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this conversation, David Inman discusses the critical importance of speed in lead conversion and how AI technology is revolutionizing sales processes. He emphasizes that reaching out to leads within five minutes significantly increases conversion rates and highlights the efficiency of AI in managing initial conversations with potential clients. Takeaways If we didn't reach out and have a conversation with the lead within five minutes, our chance of conversion dropped by 70%. Our speed to lead now is under 17 seconds. AI is calling that lead within 17 seconds of entering our system. The AI agent is having a conversation, answering basic questions. AI helps in figuring out if leads are qualified. AI can book leads onto the reps calendar directly. Transferring leads directly over to the rep is efficient. Using AI in sales teams enhances the sales structure. Speed and efficiency are crucial in lead conversion. AI technology is a game changer for sales processes. Chapters 00:00 The Importance of Speed in Lead Conversion 00:19 AI's Role in Sales Conversations The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Ken Tucker, a marketing solution architect and founder of Chainscape Web. They discuss the transformative impact of AI on digital marketing, emphasizing the balance between human expertise and AI efficiency. Ken shares insights on optimizing for search engines, enhancing customer experience through AI, and the importance of quick response times in sales. He also provides case studies on AI voice solutions and highlights the integration of various AI tools to streamline business processes. The conversation concludes with a look at the future of AI in sales and marketing. Takeaways AI is reshaping the landscape of digital marketing. Human expertise remains crucial in AI-driven solutions. Speed of response is vital for winning business. AI can enhance customer experience when used correctly. Optimizing for both Google and Bing is essential. Structured questions improve SEO and customer engagement. AI can help pre-qualify leads for sales teams. Video AI solutions can amplify marketing efforts. AI tools can streamline business processes effectively. The future of sales will heavily involve AI technologies. Chapters 00:00 Introduction to AI in Marketing 01:01 The Role of AI in Digital Marketing 05:38 Customer Experience and AI 10:17 Case Studies in AI Voice Solutions 15:24 Integrating AI Solutions for Efficiency 20:13 Conclusion and Future of AI in Sales The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Danny Meese, the founder of Ville, an app designed to enhance in-person connections through technology. They discuss the importance of community, the role of AI in improving user experience, and the challenges of building a user-centric platform. Danny shares insights on how Ville leverages algorithms to suggest events and foster real-life interactions, emphasizing a human-first approach in technology and business. Takeaways Ville aims to help people connect in real life. The app focuses on recurring events to foster community. AI is used to enhance user experience and event discovery. User feedback is crucial in shaping the app's features. The algorithm suggests events based on user interests. Ville prioritizes in-person connections over ticketed events. Building a lightweight app allows for flexibility and user focus. AI can assist in identifying potential event hosts. A human-centric design is essential for technology. Serving customers first leads to long-term success. Chapters 00:00 Introduction to Ville and Its Purpose 02:11 The Importance of In-Person Connections 04:25 Building Ville: A User-Centric Approach 07:38 AI's Role in Enhancing User Experience 16:34 Learning and Implementing AI Algorithms 20:30 Human-Centric Design in Technology The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

If you've got a BDR setting appointments and an outside sales rep closing deals, here's a question that comes up constantly with MSPs: Should your AE also be generating their own pipeline? In a perfect world, here's the ideal setup: your setter fills a third to half of the AE's calendar, and the AE fills the rest themselves. Why not just have marketing and the BDR handle it all? Multiple reasons. BDRs turn over—it's often an entry-level role with higher volatility, and you don't want your pipeline to have that same volatility. Different channels work at different times, and you need consistency when one isn't performing. But here's the bigger reason most people overlook: when your outside rep is hunting, they're doing R&D for your entire business. They're hearing objections, questions, what competitive offers look like, what prospects say at the beginning of the cycle. Sales is a massive source of research and development if you just listen. Plus, I want my reps to stay hungry—Andy Grove said "success leads to complacency, only the paranoid survive." If appointments just show up on their calendar, they'll complain about lead quality and take it for granted. This episode breaks down why consistency, redundancy, hunger, and real-world intel make this approach essential for building a sales machine that doesn't rely on any single channel or person.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister and guest Diego Lopez discuss the transformative power of AI in customer experience and its potential for social impact. They explore the importance of rethinking AI implementation, the role of agentic AI, and the need for smart automation in achieving meaningful outcomes. The conversation highlights real-world applications of AI in communities and emphasizes the importance of understanding biases and the complexities that come with AI technology. Takeaways AI is revolutionizing customer experience through multimodal interactions. The importance of designing technology with a focus on social impact. Rethinking AI implementation is crucial for achieving desired outcomes. AI can accelerate development but also introduces new complexities. Understanding biases in AI is essential for effective communication. AgentiGAA represents a new frontier in AI technology. Smart automations are not equivalent to true agency in AI. The need for clear objectives when implementing AI solutions. AI can enhance productivity but requires critical thinking. Real-world applications of AI can create meaningful community impacts. Chapters 00:00 Introduction to AI and Social Impact 02:22 Transforming Customer Experience with AI 07:56 Real-World Applications of AI in Communities 11:34 Rethinking AI Implementation 14:51 The Role of Agentic AI 19:39 The Future of AI and Automation The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Piyanka Jain, CEO of Ask Enola, about the transformative impact of AI on customer experience and decision-making. They discuss the importance of clarity in AI interactions, the misconceptions surrounding AI, and the necessity of maintaining a human touch in an increasingly automated world. Piyanka emphasizes the ethical considerations of AI and the need for conscious capitalism, while also highlighting emerging technologies and the skills salespeople need to thrive in this new landscape. Takeaways AI is changing how customers interact with technology. Clarity in desired outcomes is crucial for effective AI use. AI can drastically reduce the time needed for data analysis. AI enhances human roles rather than replacing them. Misconceptions about AI can lead to fear and misunderstanding. Human oversight is essential in AI applications. Ethics in AI development is critical for responsible growth. Salespeople need to focus on clarity and critical thinking. Finding personal downtime is essential for mental health. AI should complement human interaction, not replace it. Chapters 00:00 Introduction to AI in Sales 02:58 Transforming Customer Experience with AI 05:58 The Importance of Clarity in AI Interactions 08:49 AI's Impact on Decision-Making 11:40 Misconceptions and Realities of AI 14:40 The Human Element in AI Automation 17:17 Ethics and Responsibilities in AI Development 20:11 Emerging Technologies and Future Trends 23:09 Balancing AI and Human Touch 25:47 Final Thoughts on AI and Humanity The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

MORNING MOTIVATION! Wake up determined, go to bed satisfied! Your morning determines your day! Special thanks to our partners:Chris Williamson: https://www.youtube.com/@ChrisWillxTom Bilyeu: https://www.youtube.com/@TomBilyeuSpeakersGary Veehttps://www.youtube.com/channel/UCctXZhXmG-kf3tlIXgVZUlwEric ThomasYouTube: http://bit.ly/2ua2os4http://etinspires.com/Naval Ravikant (via Chris Williamson - • https://www.youtube.com/watch?v=KyfUysrNaco)Hal Elrond (‪@TomBilyeu‬ interview)https://halelrod.com/ Brian BullockYouTube: https://bit.ly/30oejoWTwitter: https://bit.ly/37bDf4xDavid Gogginshttps://www.instagram.com/davidgoggins/Mel Robbins (via @LewisHowes)https://www.melrobbins.com/ Freddy FriYouTube: http://bit.ly/FreddyFriSpeaking: http://www.freddyfri.com/hire-meDr Rangan Chatterjee (via @TheDiaryOfACEO) Alex Hormozihttps://www.instagram.com/hormozi/via: https://www.youtube.com/@ChrisWillxAlex Hormozi (via @ChrisWillx)https://www.youtube.com/@hormozi Jason Redman (via @LewisHowes) https://www.instagram.com/jasonredmanww Erwin Mcmanus (via @LewisHowes) https://www.instagram.com/erwinmcmanus Paul Mckenna (via @MindvalleyTalks)https://www.instagram.com/iampaulmckenna Denzel WashingtonZig Ziglarhttps://www.ziglar.com/Les Brown https://lesbrown.com/Get Les Brown's free 30-day challenge at https://lesbrown.com/Michael Beckwith‪@Michael.Bernard.Beckwith‬ Marcus A. Taylor‪@MarcusTaylorOfficial‬ Myron Golden‪@MyronGolden‬ Neale Donald Walshhttps://www.nealedonaldwalsch.com/Dr Joe Dispenza‪@drjoedispenza‬ Shi Heng Yi‪@ShiHengYiOnline‬ Walter Bondhttps://walterbond.com/Marcus TaylorYouTube: http://bit.ly/38FUFoSWebsite: https://unlockelevation.com/Coach PainYouTube: http://bit.ly/2LmRyeaBook Coach Pain: http://bit.ly/2JMefFuJoin the Coach Pain Academy: http://bDr. Jessica HoustonYouTube: https://bit.ly/2PXZqTVWilliam "King" HollisYouTube: http://bit.ly/WillHollisYouTubeGary Breckahttps://www.instagram.com/garybrecka/Music licensed from:AudiojungleEpidemic SoundChasing Daylight' by Scott Buckley - released under CC-BY 4.0. www.scottbuckley.com.auhttps://www.youtube.com/watch?v=msnp0pmvJQQTwelve Titans https://www.youtube.com/channel/UCDhAPVW3Pt4pPAeUNbddgGwhttps://www.instagram.com/twelvetitansmusic/Audiomachine - No Matter Whatcode: sharp-stings-victor-rhumbaReally Slow Motion Buy their music:Amazon : http://amzn.to/1lTltY5iTunes: http://bit.ly/1ee3l8KSpotify: http://bit.ly/1r3lPvNBandcamp: http://bit.ly/1DqtZSo Hosted on Acast. See acast.com/privacy for more information.

Summary In this conversation, Wesley Baker discusses the current and future implications of AI in sales development roles, emphasizing its augmentative role rather than a replacement for jobs. He highlights the importance of customer experience in the automation process and raises questions about the future of AI, referencing predictions about technological advancements. Takeaways AI is currently augmenting rather than replacing SDR jobs. The future of AI in sales is uncertain but promising. Inbound opportunities may see more automation in the future. Customer experience is crucial in the automation process. Fully automating processes without customer delight can lead to loss of business. Wesley references Ray Kurzweil's predictions about AI advancements. The Singularity event in 2045 is a significant milestone for AI. AI's role in qualifying inbound opportunities is evolving. Automation should enhance, not detract from customer interactions. The conversation raises important questions about the future of work with AI. Chapters 00:00 Introduction to the SDR Leader Conference 00:50 Misconceptions About AI in Sales 01:01 Balancing Automation with Human Touch The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Daren Fields from Apex Publishing LLC about the transformative impact of AI on sales and customer experience. They discuss how AI empowers customers with knowledge, the importance of human interaction in sales, and the misconceptions surrounding AI's capabilities. Daren shares real-world success stories of AI implementation, emphasizing the need for a balanced approach that combines human expertise with AI technology. The conversation also touches on the skills needed for sales professionals in an AI-driven world and the future of revenue operations. Takeaways AI is changing the customer experience by providing more information to buyers. The buyer's journey is increasingly advanced, with customers often being 78% informed before engaging with sales. Real-world examples show that AI can significantly increase sales margins when used effectively alongside human agents. Misconceptions about AI include the belief that it can fully automate sales processes without human involvement. Humans are essential in sales; AI should be seen as a tool to assist rather than replace them. AI can accelerate processes and improve efficiency in sales operations. The future of sales will involve a combination of human and AI collaboration, known as paired selling. Sales professionals need to develop skills in prompting AI effectively to leverage its capabilities. Data management and governance are crucial for successful AI implementation in sales. The landscape of sales is evolving, and professionals must adapt to remain competitive. Chapters 00:00 Introduction to AI in Sales 02:41 Transforming Customer Experience with AI 05:46 Real-World Success Stories of AI Implementation 08:36 Misconceptions About AI in Sales 11:43 The Role of Humans in an AI-Driven World 14:31 Emerging AI Technologies and Their Impact 17:31 Skills for the Future: Navigating AI in Sales The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Most new account executives stare at their territory list and feel the weight of it immediately. Fifty accounts. A hundred accounts. Sometimes more. Each one needs research, a plan, and outreach that doesn't sound like every other cold email clogging their prospect's inbox.  Jake McOsker, an account executive at Forrester Research, found himself facing exactly this problem when he moved from BDR to AE. He cracked it by changing how he used AI for account planning.  "Rather than taking 10 to 15 minutes to get an account plan out or understand who the notable stakeholders and the decision makers that I need to go with," he explained, "it's a 2 to 3 minute process to go through each one of these accounts." The traditional approach to AI account planning doesn't solve the territory problem. You ask ChatGPT or Claude for company information, and you get Wikipedia summaries. Founded in 1987. Headquartered in Dallas. 15,000 employees. The chief sales officer you're calling doesn't care about any of that, and showing up with generic facts makes you look lazy, not prepared. When you're new to the role, you don't have years of pattern recognition to fall back on. You don't know what good account planning looks like yet. You just know you need to get meetings with people who have better things to do than talk to a rep they've never heard of. The solution isn't using AI as a search engine. It's using it as a sales assistant with a specific job to do. The Problem With How Most Reps Use AI for Account Planning Here's what usually happens. A rep needs to prepare for a call with a VP of Marketing at a healthcare company. They open their AI tool of choice and type: "Tell me about [Company Name]." The AI spits back: Company history Product offerings Recent press releases Maybe some executive names The rep skims it, copies a few bullet points into their CRM, and calls it account planning. Then they get on the call and realize they have no idea what this VP is actually trying to accomplish this quarter. They ask surface-level questions. The prospect checks out. The meeting goes nowhere. This happens because most reps are using AI like a faster Google. They're asking for information instead of asking for intelligence. AI account planning only works when you give the AI a role and a specific outcome to deliver. Not "tell me about this company." Instead, "You're an account executive trying to book a meeting with this company's CMO in the next two weeks. Based on their recent announcements and what their executives are posting on LinkedIn, what initiatives are they likely prioritizing right now?" How to Set Up AI Agents for Account Planning The difference between a basic AI chat and an AI agent is memory and context. When you create an agent, you're teaching it what kind of output you need every single time. You're not starting from scratch with every account. Here's the framework that works: Step 1: Give Your AI Agent a Clear Role Don't just ask questions. Set up the scenario with urgency and context. For example: "You are an account executive at [Your Company]. You've been tasked with bringing in [Target Company] as a new customer within the next 90 days. Your first call is with their [specific role, like Chief Sales Officer]. Based on the materials I'm providing, what are the top three business initiatives this person is likely focused on right now?" This does two things. First, it forces the AI to think from your perspective instead of just summarizing data. Second, it prioritizes current, actionable information over historical background. Step 2: Feed It the Right Source Material Wikipedia summaries don't help you. But these sources do: Recent press releases about new initiatives or leadership changes LinkedIn posts from executives at the company (especially the person you're calling) Company blog posts about their strategic direction Industry news articles mentioning the company Their "About Us" or "Newsroom" page for current priorities Analyst reports or industry trend pieces relevant to their sector If you're selling to publicly traded companies, earnings call transcripts and annual reports (10-Ks) are gold mines. But most new AEs aren't calling on Fortune 500 companies. The good news is that smaller companies often share more on LinkedIn and their blogs because they're trying to build their brand. Upload PDFs or paste content directly into your AI tool. Then let it analyze the content through the lens of the role you gave it. The output will focus on strategic priorities, not corporate history. Step 3: Ask Follow-Up Questions Based on Persona If you're calling into marketing, tech, security, or customer experience, the priorities are different. Your AI agent should help you understand how company-wide initiatives affect the specific person you're talking to. After the initial analysis, ask: "How would these initiatives specifically impact the VP of Marketing's goals this quarter?" Now you have talking points that matter to the person on the other end of the call. Step 4: Validate With Human Intelligence AI gets you 80% of the way there in three minutes instead of fifteen. But you still need to cross-check. Look at LinkedIn. Check recent news. If you have access to account managers or customer success reps who work with similar companies, ask them if the trends you're seeing match reality. AI account planning is a tool, not a replacement for critical thinking. If the output feels off, it probably is. Trust your gut and adjust. How to Turn Research Into Value Messages The goal of account planning isn't to memorize facts about a company. It's to walk into a conversation with an informed hypothesis about what they're trying to accomplish. When you do this right, your opening changes. Instead of starting cold with "Tell me about your role," you can say: "I saw your CEO recently posted about accelerating your digital customer experience, and I'm assuming that's putting some pressure on your team to modernize how you're approaching customer engagement. But I could be completely wrong. What's actually taking up most of your time right now?" Here's how you've impacted your prospect: First, it proves you did real research. Second, it gives the prospect something specific to react to instead of making them explain their entire world from scratch. Third, and this is critical, it still leaves room for discovery. You're not skipping the "What are your biggest challenges?" question. You're earning the right to ask them by showing you've already thought about their business. When prospects talk about their challenges in their own language, you learn how they frame problems, what matters to them, and where your solution might actually fit. Even if your hypothesis is wrong, you've separated yourself from the 90% of reps who show up with nothing. And when you're right, you skip past the surface-level conversation and get straight into the dialogue that matters. That's how you earn credibility as a new account executive, even when you don't have ten years of experience to lean on. Building a Repeatable AI Account Planning Workflow This only scales if you systematize it. You can't rely on remembering the perfect prompt every time or recreating your process from scratch for every account. Create separate agents for different use cases. One for account planning. One for prospecting outreach. One for call preparation. Train each agent for the output you need so you aren't constantly course-correcting. Save your account plans in a central location. The information changes, so plan to refresh your research quarterly. What mattered in Q2 might not matter in Q4, and your account planning needs to reflect that. The key is building a system that you can repeat across your entire territory without burning out. Two to three minutes per account. Not fifteen. Not thirty. That's how you research 50 accounts in a week instead of just five. What This Actually Looks Like in Practice Let's say you're targeting a mid-market software company. You start by checking their LinkedIn. The CEO posted last week about expanding into healthcare verticals. You pull up their blog and find three recent posts about compliance challenges in healthcare tech. You upload screenshots or copy the text into your AI agent and give it the prompt: "You're an AE trying to close this software company in 90 days. The first meeting is with their Chief Revenue Officer. What are the top three priorities they're likely focused on, and how do those connect to the company's broader goals?" The AI analyzes the content and tells you: They're investing heavily in healthcare vertical expansion, but facing longer sales cycles due to compliance requirements They're dealing with the need to build credibility fast in a regulated industry Their CEO has committed to proving ROI in healthcare within two quarters Now you have a hypothesis. The CRO is probably under pressure to close healthcare deals faster while managing a team that doesn't have deep healthcare expertise. That's your angle. You cross-check this with LinkedIn and see that the CRO has been engaging with posts about sales enablement in complex verticals. You look at recent news and find they just hired a VP of Healthcare Sales. Everything lines up. Your outreach message writes itself. You're not pitching. You're acknowledging what they're working on and offering a perspective on how companies in similar situations have approached the same problem. What to Do After the Meeting Your AI workflow doesn't end when the call does. This is where most reps leave value on the table. After your meeting, take the transcript from your call recording tool (Fathom, Gong, Chorus, whatever you use) and upload it to your AI agent.

Most new account executives stare at their territory list and feel the weight of it immediately. Fifty accounts. A hundred accounts. Sometimes more. Each one needs research, a plan, and outreach that doesn't sound like every other cold email clogging their prospect's inbox.  Jake McOsker, an account executive at Forrester Research, found himself facing exactly this problem when he moved from BDR to AE. He cracked it by changing how he used AI for account planning.  "Rather than taking 10 to 15 minutes to get an account plan out or understand who the notable stakeholders and the decision makers that I need to go with," he explained, "it's a 2 to 3 minute process to go through each one of these accounts." The traditional approach to AI account planning doesn't solve the territory problem. You ask ChatGPT or Claude for company information, and you get Wikipedia summaries. Founded in 1987. Headquartered in Dallas. 15,000 employees. The chief sales officer you're calling doesn't care about any of that, and showing up with generic facts makes you look lazy, not prepared. When you're new to the role, you don't have years of pattern recognition to fall back on. You don't know what good account planning looks like yet. You just know you need to get meetings with people who have better things to do than talk to a rep they've never heard of. The solution isn't using AI as a search engine. It's using it as a sales assistant with a specific job to do. The Problem With How Most Reps Use AI for Account Planning Here's what usually happens. A rep needs to prepare for a call with a VP of Marketing at a healthcare company. They open their AI tool of choice and type: "Tell me about [Company Name]." The AI spits back: Company history Product offerings Recent press releases Maybe some executive names The rep skims it, copies a few bullet points into their CRM, and calls it account planning. Then they get on the call and realize they have no idea what this VP is actually trying to accomplish this quarter. They ask surface-level questions. The prospect checks out. The meeting goes nowhere. This happens because most reps are using AI like a faster Google. They're asking for information instead of asking for intelligence. AI account planning only works when you give the AI a role and a specific outcome to deliver. Not "tell me about this company." Instead, "You're an account executive trying to book a meeting with this company's CMO in the next two weeks. Based on their recent announcements and what their executives are posting on LinkedIn, what initiatives are they likely prioritizing right now?" How to Set Up AI Agents for Account Planning The difference between a basic AI chat and an AI agent is memory and context. When you create an agent, you're teaching it what kind of output you need every single time. You're not starting from scratch with every account. Here's the framework that works: Step 1: Give Your AI Agent a Clear Role Don't just ask questions. Set up the scenario with urgency and context. For example: "You are an account executive at [Your Company]. You've been tasked with bringing in [Target Company] as a new customer within the next 90 days. Your first call is with their [specific role, like Chief Sales Officer]. Based on the materials I'm providing, what are the top three business initiatives this person is likely focused on right now?" This does two things. First, it forces the AI to think from your perspective instead of just summarizing data. Second, it prioritizes current, actionable information over historical background. Step 2: Feed It the Right Source Material Wikipedia summaries don't help you. But these sources do: Recent press releases about new initiatives or leadership changes LinkedIn posts from executives at the company (especially the person you're calling) Company blog posts about their strategic direction Industry news articles mentioning the company Their "About Us" or "Newsroom" page for current priorities Analyst reports or industry trend pieces relevant to their sector If you're selling to publicly traded companies, earnings call transcripts and annual reports (10-Ks) are gold mines. But most new AEs aren't calling on Fortune 500 companies. The good news is that smaller companies often share more on LinkedIn and their blogs because they're trying to build their brand. Upload PDFs or paste content directly into your AI tool. Then let it analyze the content through the lens of the role you gave it. The output will focus on strategic priorities, not corporate history. Step 3: Ask Follow-Up Questions Based on Persona If you're calling into marketing, tech, security, or customer experience, the priorities are different. Your AI agent should help you understand how company-wide initiatives affect the specific person you're talking to. After the initial analysis, ask: "How would these initiatives specifically impact the VP of Marketing's goals this quarter?" Now you have talking points that matter to the person on the other end of the call. Step 4: Validate With Human Intelligence AI gets you 80% of the way there in three minutes instead of fifteen. But you still need to cross-check. Look at LinkedIn. Check recent news. If you have access to account managers or customer success reps who work with similar companies, ask them if the trends you're seeing match reality. AI account planning is a tool, not a replacement for critical thinking. If the output feels off, it probably is. Trust your gut and adjust. How to Turn Research Into Value Messages The goal of account planning isn't to memorize facts about a company. It's to walk into a conversation with an informed hypothesis about what they're trying to accomplish. When you do this right, your opening changes. Instead of starting cold with "Tell me about your role," you can say: "I saw your CEO recently posted about accelerating your digital customer experience, and I'm assuming that's putting some pressure on your team to modernize how you're approaching customer engagement. But I could be completely wrong. What's actually taking up most of your time right now?" Here's how you've impacted your prospect: First, it proves you did real research. Second, it gives the prospect something specific to react to instead of making them explain their entire world from scratch. Third, and this is critical, it still leaves room for discovery. You're not skipping the "What are your biggest challenges?" question. You're earning the right to ask them by showing you've already thought about their business. When prospects talk about their challenges in their own language, you learn how they frame problems, what matters to them, and where your solution might actually fit. Even if your hypothesis is wrong, you've separated yourself from the 90% of reps who show up with nothing. And when you're right, you skip past the surface-level conversation and get straight into the dialogue that matters. That's how you earn credibility as a new account executive, even when you don't have ten years of experience to lean on. Building a Repeatable AI Account Planning Workflow This only scales if you systematize it. You can't rely on remembering the perfect prompt every time or recreating your process from scratch for every account. Create separate agents for different use cases. One for account planning. One for prospecting outreach. One for call preparation. Train each agent for the output you need so you aren't constantly course-correcting. Save your account plans in a central location. The information changes, so plan to refresh your research quarterly. What mattered in Q2 might not matter in Q4, and your account planning needs to reflect that. The key is building a system that you can repeat across your entire territory without burning out. Two to three minutes per account. Not fifteen. Not thirty. That's how you research 50 accounts in a week instead of just five. What This Actually Looks Like in Practice Let's say you're targeting a mid-market software company. You start by checking their LinkedIn. The CEO posted last week about expanding into healthcare verticals. You pull up their blog and find three recent posts about compliance challenges in healthcare tech. You upload screenshots or copy the text into your AI agent and give it the prompt: "You're an AE trying to close this software company in 90 days. The first meeting is with their Chief Revenue Officer. What are the top three priorities they're likely focused on, and how do those connect to the company's broader goals?" The AI analyzes the content and tells you: They're investing heavily in healthcare vertical expansion, but facing longer sales cycles due to compliance requirements They're dealing with the need to build credibility fast in a regulated industry Their CEO has committed to proving ROI in healthcare within two quarters Now you have a hypothesis. The CRO is probably under pressure to close healthcare deals faster while managing a team that doesn't have deep healthcare expertise. That's your angle. You cross-check this with LinkedIn and see that the CRO has been engaging with posts about sales enablement in complex verticals. You look at recent news and find they just hired a VP of Healthcare Sales. Everything lines up. Your outreach message writes itself. You're not pitching. You're acknowledging what they're working on and offering a perspective on how companies in similar situations have approached the same problem. What to Do After the Meeting Your AI workflow doesn't end when the call does. This is where most reps leave value on the table. After your meeting, take the transcript from your call recording tool (Fathom, Gong, Chorus, whatever you use) and upload it to your AI agent. Then ask specific questions:

In this NEWSmakers episode, BDR's Jay Crowe details how inventory planning, strong maintenance programs, strategic financing, and careful tracking of PACE metrics can help contractors maximize every call in a soft market marked by refrigerant transition challenges and cautious homeowners.

Meet Tim LaBarge, Head of Marketing at Implicit—a platform built for complex AI support that answers hard, high-stakes questions by ingesting technical documentation and returning accurate, real-time guidance. Tim explains how Implicit mitigates hallucinations with model guardrails and continuously improves answers through knowledge base tagging that flags gaps by product, error code, or scenario. He breaks down their go-to-market mix—precise LinkedIn ads, high-value BDR outreach, and a thought-leadership newsletter, The Knowledge Layer—plus a freemium onramp that lets teams try Implicit before engaging sales. Tim also shares leadership insights on becoming a "builder" marketer and using founder-led marketing to accelerate trust and conversion.   

Chad's fresh off a trip to Banded Drake Ranch, celebrating the birthday of the man who built it: Matt Roseman. Matt's story is the kind you hardly hear enough of anymore. It's a true American Dream success. Vision, grit, sweat, and a work ethic that never lets off the gas. What he's built at Banded Drake Ranch is a gift to the land, the wildlife, and everyone lucky enough to step foot on it. Chad breaks down what Matt has pulled off, how he did it, and why stories like his are important to share to keep us inspired! The type of dream that is BDR is what this country was built on. Chad also shares what's coming up next for The Fowl Life, the crew, and the season ahead. This episode is brought to you by Benelli shotguns, Corning Ford, and Hi Viz Sights

Continuum is solving the multi-party return problem in B2B supply chain—a transaction involving distributors, manufacturers, and end users that previously took 30-45 days and now completes in 30-45 seconds. In this episode of Category Visionaries, we sat down with Alex Witcpalek, CEO and Founder of Continuum, to unpack how he's building what he calls "reverse EDI" in a market of 1.5 million distribution and manufacturing companies across North America. After 13 years selling technology into this space, Alex is now growing 8x year-over-year by turning customers into the primary acquisition channel through network effects. Topics Discussed: Why multi-party returns require replicating order management, warehouse management, and procurement systems simultaneously The tactical sequencing of building network businesses: solving for independent value, achieving critical mass, then activating network effects How Continuum navigates deep ERP integrations (SAP, Oracle, NetSuite, Epicor) plus bespoke business logic across multiple supply chain tiers Facebook retargeting, BDR outbound, events, and customer referrals as the four channels driving growth in a non-PLG market Why business model differentiation is the only remaining moat when technical barriers collapse Building domain expertise distribution systems using AI-powered LMS fed by sales call recordings GTM Lessons For B2B Founders: Choose problems where you can capture 100% of addressable market, not fractional share: Alex deliberately avoided competing in CRM, sales order automation, or accounts payable—categories where even dominant players cap at 25-30% market penetration. Instead, he targeted multi-party reverse logistics, a greenfield problem no one else was solving. This strategic choice eliminates competitive displacement risk and allows every prospect conversation to focus on change management rather than competitive differentiation. Founders should map their TAM against competitive saturation: markets where you can own the entire category create fundamentally different growth trajectories than fighting for fragments. Sequence network businesses: independent value → critical mass → network activation: Alex was told by investors 18 months in that network effects "weren't going to work." His insight: "When you don't have a network, you don't sell the network. It's just in your plans and how you're building." Continuum sold P&L impact, manual labor reduction, and customer experience improvements to early adopters while building network infrastructure invisibly. Only after achieving density in specific verticals (HVAC, electrical, plumbing) did they surface the network value proposition. This sequencing prevents the cold-start problem—founders building marketplace or network businesses must design standalone value that makes the first 100 customers successful independent of network density. Exploit high pain thresholds in legacy industries as competitive barriers: Supply chain companies accept 30-45 day return cycles, manual warranty claims on paper, and playing "guess who" by phone to find inventory across distributor branches. Alex notes they have "extremely high pain threshold" from living with broken systems for decades. While this creates longer education cycles, it also means competitors won't enter (too hard) and once you prove ROI, switching costs become prohibitive. Founders should reframe customer inertia: industries tolerating obvious inefficiencies offer category creation opportunities with built-in moats, not just sales friction. Business model architecture is the only defensible moat—technical differentiation is dead: Alex is building his own e-signature platform (Continue Sign) and AI LMS using vibe coding to prove technical moats no longer exist. Continuum's defensibility comes entirely from network lock-in: displacing them requires disconnecting manufacturers like Carrier, Daikin, and Bosch plus their entire distributor ecosystems simultaneously. He references EDI (1960s technology still dominant today) as proof that network effects create permanent advantages. Founders must architect switching costs, network density, or proprietary data advantages into their business model—technology alone provides zero protection in the AI era. Match channel strategy to actual ICP behavior, not SaaS conventions: Continuum's top lead source is customer-driven network growth—distributors recruiting manufacturers and vice versa. Facebook retargeting works because their 50+ year-old supply chain buyers "are trying to comment on their grandkids' pictures," not scrolling LinkedIn. BDR outbound still delivers high win rates in an industry where business happens on handshakes, making events critical. This channel mix would fail for PLG products but works perfectly for enterprise cycles with $40K ACVs and 90-day sales processes. Founders should ethnographically research where their specific buyers actually spend attention rather than defaulting to LinkedIn, content marketing, or PLG based on what works in adjacent categories. Use 90-day enterprise cycles and multi-stakeholder complexity as qualification, not friction: Continuum runs enterprise sales motions for $40K deals because multi-party returns touch 16 constituents across sales, customer service, fleet, supply chain, warehouse, purchasing, and finance. Rather than trying to simplify buying, Alex uses this complexity as a filter—companies willing to coordinate VP of Supply Chain, COO, and CFO alignment are serious buyers. He layers three value propositions (P&L impact, labor reduction, customer experience) knowing different stakeholders weight them differently. Founders selling into complex environments should embrace multi-threading as a qualification mechanism that improves win rates and reduces churn, not overhead to eliminate. //  Sponsors:  Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire  Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM  

summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Ghazenfer Mansoor, CEO of Technology Rivers, about the intersection of AI and healthcare technology. They discuss the importance of user experience in app development, the role of AI in streamlining software processes, and the misconceptions surrounding AI's capabilities. Ghazenfer shares insights from his book 'Beyond the Download' and emphasizes the need for a human touch in technology. The conversation also touches on emerging AI technologies, ethical considerations, and essential skills for leveraging AI effectively. Takeaways The focus should be on user experience, not just downloads. Optimizing for customer experience leads to profit. AI is not a replacement for humans but an augmentation. AI can significantly reduce software development time. Misconceptions about AI include it being a one-click solution. Human context is essential for AI to provide accurate results. Emerging technologies like MCP and agentic AI are game-changers. Ethics in AI requires a governing body to ensure responsibility. Articulation and storytelling are key skills for using AI effectively. AI can assist in various tasks, enhancing productivity. Chapters 00:00 Introduction to AI in Healthcare Technology 02:14 Insights from 'Beyond the Download' 04:58 Customer Experience vs. Profit Motive 07:13 AI's Impact on Software Development 11:15 Misconceptions About AI 15:48 Integrating AI with Human Touch 18:55 Emerging Technologies in AI 23:57 Ethics in AI 25:40 Skills for the AI-Driven Future 31:18 Conclusion and Call to Action The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, Chad Burmeister and Bryan Weinman engage with Mandar Karhade, a technical and growth strategist in healthcare. They explore the intersection of AI and customer experience, the challenges of AI adoption in healthcare, and the ethical considerations surrounding AI technology. Mandar shares insights on the importance of trust, the need for human-centered approaches in AI implementation, and the sluggish pace of change in the healthcare industry. The conversation emphasizes the necessity of focusing on human experiences rather than profit motives in AI development. Takeaways AI is not a problem, it's the process. People often know what to do. They don't do what they know. Trust has to be built over time. You need to feel comfortable to do anything. AI is a tricky knife in healthcare. Invest in learning to program to solve business solutions. Ethics is a problem with humans, not AI. You need to meet customers where they are. The industry is extremely sluggish and not changing much. Focus on the human experience, profit follows. Chapters 00:00 Introduction to AI in Healthcare 02:40 Understanding AI's Role in Customer Experience 09:34 Challenges of AI Adoption in Healthcare 17:12 Ethics and Responsibility in AI 22:51 Future Perspectives on AI and Healthcare The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, Chad Burmeister and Bryan Weinman discuss the intersection of AI and sales, emphasizing the importance of personal connections in prospecting. They explore how AI can enhance sales strategies, address common misconceptions about AI's capabilities, and highlight the need for governance in AI applications. The conversation also touches on emerging technologies in AI and the essential skills needed to thrive in an AI-driven landscape. Takeaways AI will not replace BDMs anytime soon. The human touch is irreplaceable in sales. 4% email reply rates are not normal. AI helps generate messages and curate accounts. Design bias in AI can lead to inaccuracies. You can't automate messaging without a human in the loop. Start using AI now to stay ahead in your career. Persistent memory is crucial for AI effectiveness. AI can save time in prospecting and messaging. Emerging technologies in AI are exciting for the future. Chapters 00:00 Introduction to AI and Data Expertise 02:54 The Importance of Personal Connection in Sales 05:32 Leveraging AI for Enhanced Sales Strategies 08:21 Misconceptions About AI in Sales 11:16 The Role of Governance in AI Applications 13:59 Emerging Technologies in AI 16:51 Skills for the Future: Adapting to AI 19:47 Conclusion and Future Prospects The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, Chad Burmeister interviews Daya Naef, an AI strategist and attorney, discussing the transformative impact of AI on various industries, particularly law. They explore Daya's journey from art to law, the misconceptions surrounding AI, and the importance of balancing automation with personal touch. The conversation also touches on emerging technologies, ethical considerations in AI, and the future of personalized customer experiences. Takeaways AI is becoming an integral part of various industries, including law. Deya Naef's background in art and law provides a unique perspective on AI's impact. AI can enhance customer experiences through personalized interactions. Misconceptions about AI include overestimating its capabilities and underestimating its need for human input. Books like 'AI Driven' and 'Co-Intelligence' are recommended for understanding AI's implications. Emerging technologies like Chat GPT-5 are changing the landscape of AI. Balancing automation with personal touch is crucial for effective communication. Tracking individual preferences can improve customer engagement. Ethical considerations in AI are becoming increasingly important as technology evolves. The future of AI involves more personalized and efficient customer interactions. Chapters 00:00 Introduction to AI in Sales 01:45 Daya Naef's Journey: From Art to Law 04:16 AI's Impact on the Legal Industry 08:48 Success Stories in AI Implementation 12:50 Misconceptions About AI 14:33 Recommended Reads on AI 17:06 Emerging Technologies in AI 18:54 Balancing Automation with Personal Touch 23:12 Ethics and Responsibility in AI 28:34 Future Conversations on AI The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

#297 Leadership | I sat down with Kelly Cheng, CMO at Goldcast, to talk about her path from growth marketer to marketing leader, how she's built and scaled Goldcast's marketing org, the shift from PLG to sales-led, and why she believes great CMOs play the long game.Timestamps(00:00) - – Intro (03:08) - – Kelly's path from Hong Kong to Boston (06:08) - – Joining Goldcast and the PLG pivot (09:08) - – Moving from growth marketer to CMO (12:08) - – The role of mentors in her career (20:08) - – Questions to ask before taking a CMO role (27:43) - – Inside Goldcast's marketing org structure (33:43) - – How Kelly measures brand and mindshare (40:43) - – Why the BDR team reports to marketing (46:43) - – The link between brand, content, and pipeline (51:43) - – Leading with vulnerability and the “long game” Join 50,0000 people who get our Exit Five Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/ ***Today's episode is brought to you by Knak.Email (in my humble opinion) is the still the greatest marketing channel of all-time.It's the only way you can truly “own” your audience.But when it comes to building the emails - if you've ever tried building an email in an enterprise marketing automation platform, you know how painful it can be. Templates are too rigid, editing code can break things and the whole process just takes forever. That's why we love Knak here at Exit Five. Knak a no-code email platform that makes it easy to create on-brand, high-performing emails - without the bottlenecks.Frustrated by clunky email builders? You need Knak.Tired of ‘hoping' the email you sent looks good across all devices? Just test in Knak first.Big team making it hard to collaborate and get approvals? Definitely Knak.And the best part? Everything takes a fraction of the time.See Knak in action at knak.com/exit-five. Or just let them know you heard about Knak on Exit Five.***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

In this Leader Generation episode, CEO Gabe Lullo shares the playbook Alleyoop uses to turn “more pipeline” into real revenue.  You'll hear how to fix unqualified pipeline syndrome by aligning on a clear ICP, catching buyers at the right time and using the BDR function as the bridge between marketing and sales. Gabe breaks down simple rules of engagement for MQL-SQL handoffs and the feedback loops that keep everyone moving in the same direction. We also dig into what actually works right now: human-first outreach, SDRs who think like marketers and LinkedIn content that warms leads before a sales call ever happens. Gabe shows how empowering employee voices on social can fuel 40% of new business, while cutting recruiting spend and improving pipeline quality.  If you want practical ideas to get better leads, better teamwork, and better outcomes, this one's for you. Leader Generation is hosted by Tessa Burg and brought to you by Mod Op.  About Gabe Lullo: Gabe Lullo is the CEO of Alleyoop, a sales development agency working with industry giants such as ZoomInfo, Salesloft, and Adobe. He has trained over 8,000 salespeople across diverse businesses and, during his tenure in Alleyoop, he has personally hired and managed more than 1,500 SDRs. With over two decades of experience in sales, marketing, and executive recruitment, his strategies have significantly driven Alleyoop's growth and shaped its corporate culture. Beyond his career accomplishments, Gabe graduated from the Barney School of Business at the University of Hartford and his leadership ethos is rooted in cultivating environments that prioritize both professional development and individual success. About Tessa Burg: Tessa is the Chief Technology Officer at Mod Op and Host of the Leader Generation podcast. She has led both technology and marketing teams for 15+ years. Tessa initiated and now leads Mod Op's AI/ML Pilot Team, AI Council and Innovation Pipeline. She started her career in IT and development before following her love for data and strategy into digital marketing. Tessa has held roles on both the consulting and client sides of the business for domestic and international brands, including American Greetings, Amazon, Nestlé, Anlene, Moen and many more. Tessa can be reached on LinkedIn or at Tessa.Burg@ModOp.com.

Summary In this episode of the AI for Sales podcast, Chad Burmeister speaks with Tamara Jackson, a marketing strategist and AI early adopter, about the transformative role of AI in sales. They discuss how AI can enhance customer experiences, dispel misconceptions about job security, and highlight the importance of education in leveraging AI effectively. Tamara shares real-world examples of AI applications in various industries and emphasizes the need for businesses to adapt to the evolving landscape of sales and technology. Takeaways AI allows conversations to happen anytime, regardless of time zone. AI can provide a personal and consistent customer experience. AI can help businesses recover lost revenue and clarify their positioning. Misconceptions about AI replacing jobs can hinder progress. AI can enhance efficiency and allow salespeople to focus on higher-level tasks. The evolution of AI will challenge everyone to upskill and adapt. AI can help businesses connect with larger clients and opportunities. Education and access to technology are crucial for leveraging AI. AI can free up time for individuals to engage in meaningful activities. The future of AI holds potential for greater equality and opportunity. Chapters 00:00 Introduction to AI in Sales 02:51 The Customer-Centric Approach of AI 05:55 Real-World Applications of AI in Sales 08:46 Misconceptions About AI in Sales 11:48 Augmented Intelligence vs. Artificial Intelligence 14:30 The Future of AI Technologies 17:20 AI as an Equalizer in Society 19:58 The Importance of Education in AI 22:56 Closing Thoughts and Future Outlook The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Ignacio Pastor, AI Engineering Director at Singular and co-founder of Conectoma.ai. They discuss the transformative impact of AI on customer experience, the evolving role of consultants in AI integration, and the importance of understanding AI's limitations. Ignacio emphasizes the need for a personal touch in automation, highlights emerging technologies, and shares essential skills for salespeople in an AI-driven world. Takeaways AI is reshaping customer experiences across various industries. Consulting is evolving, not disappearing, as businesses seek guidance in AI integration. Organizations are looking for cost-effective solutions and in-house development capabilities. AI can help automate processes, allowing consultants to focus on strategic guidance. Misconceptions about AI include the belief that it can operate without human oversight. Personal touch remains essential, even in an automated environment. Emerging technologies like agentic tools are crucial for future automation. Salespeople should focus on system thinking and no-code tools for automation. Quality of interactions can improve with AI-driven automation. Understanding process mining is key to enhancing sales performance. Chapters 00:00 Introduction to AI in Sales 01:42 Transforming Customer Experience with AI 05:52 Innovative AI Use Cases 09:14 Debunking AI Misconceptions 12:24 Maintaining Personal Touch in Automation 15:10 Emerging Technologies and Automation Tools 16:45 Maximizing Sales Potential with Automation 20:45 Essential Skills for Sales Professionals The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Building a successful sales organization from the ground up is no small feat. It requires strategic planning, data-driven decision-making, and a focus on cultivating the right mindset within your team. In this episode, I sit down with Megan Prince, Chief Revenue Officer of Zeni, to explore how she led her company to 10x their ARR in just a few years through a powerful outbound sales strategy.    The Power of Outbound Sales Learn why Megan believes that a strong outbound motion is crucial for controlling your destiny and driving consistent growth. She reveals how 65% of Zeni's revenue comes from outbound efforts and explains why it's their most cost-effective customer acquisition channel. Building an Effective Tech Stack Discover the tools and technologies Zeni uses to power their outbound engine, including: ·         Orum for cold calling ·         LinkedIn Sales Navigator for social selling ·         AmpleMarket for data mining and email automation ·         Avoma for listening to cold calls ·         HubSpot for task management ·         FlyMSG.io for AI Writing, text expansion, sales prospecting training and social selling Designing High-Impact Sequences Megan breaks down their 20+ step outbound sequence that spans 20-30 days, incorporating multiple touchpoints across various channels. She emphasizes the importance of persistence, noting that it often takes 12-18 touches to convert a prospect into a customer. Data-Driven Decision Making Learn about the critical metrics Megan tracks to ensure predictable pipeline generation, including: Point of sale revenue per headcount Total activities to convert one customer SQLs per customer Pipeline to close-won rates Cultivating a Winning Mindset Explore the daily practices Megan encourages her team to adopt, such as gratitude journaling and intention-setting, to maintain a positive attitude in the face of rejection.  Whether you're a sales leader looking to scale your organization or a rep aiming to improve your outbound game, this episode offers actionable strategies to elevate your sales performance. Tune in to learn how to build a data-driven, high-performing sales machine that can drive exponential growth for your business. Key Moments of This Episode 00:00:00 - The Importance of Cold Calling in Modern Sales Discusses the decline in email conversion rates and the effectiveness of cold calling for customer acquisition. Highlights the need for persistence in outreach, with 9,000 activities and 12-18 touchpoints typically required to convert a customer. Emphasizes the value of human interaction in sales processes. 00:01:30 - Introducing Megan Prince: From Door-to-Door Sales to Chief Revenue Officer Megan Prince shares her journey from door-to-door sales to becoming CRO at Zeni, a company providing automated bookkeeping for startups. She discusses her experience growing Zeni's ARR by 10x and the importance of outbound sales strategies in the company's success. 00:04:58 - Building a Successful Outbound Sales Strategy Megan explains Zeni's outbound sales approach, including their tech stack (Orum, LinkedIn Sales Navigator, etc.) and 20-step sequence over 20-30 days. She emphasizes the importance of persistence, data-driven decision making, and maintaining a 2:1 BDR to AE ratio for optimal unit economics. 00:34:10 - Key Metrics and Mindset for Sales Success Megan discusses critical metrics for tracking BDR performance, including point of sale revenue per headcount and total activities to convert customers. She emphasizes the importance of data-driven decision making and cultivating a positive mindset through gratitude journaling and intention setting for sales team success. 00:40:44 - Leadership Advice for Building a Sales Organization Megan's key advice for sales leaders: lead with care and empathy to inspire team loyalty. She stresses the importance of balancing data-driven strategies with genuine concern for team members' well-being. Megan also shares her preferred methods of contact and personal insights. About Megan Prince Megan Prince is a dynamic revenue leader known for building and scaling high-performing sales organizations that have driven hundreds of millions in revenue. Currently the Chief Revenue Officer at a Zeni.ai, she specializes in architecting repeatable go-to-market strategies, cultivating customer-first cultures, and operationalizing excellence from the ground up. Megan's journey began in the grit of door-to-door sales and accelerated quickly, rising to VP of Sales at a publicly traded company within six years. Along the way, she's been honored as a 30 Under 30 standout, Director of the Year, and a multi-time President's Club and Million Dollar Club achiever. What differentiates Megan is her focus on the inputs of driving culture, clarity and consistency as the true drivers of performance. She's deeply passionate about developing talent, and is committed to helping others build intentional, high-impact careers. Follow Us On: ·         LinkedIn ·         Twitter ·         YouTube Channel ·         Instagram ·         Facebook Learn More About FlyMSG Features Like: ·         LinkedIn Auto Comment Generator ·         AI Social Media Post Generator ·         Auto Text Expander ·         AI Grammar Checker ·         AI Sales Roleplay and Coaching ·         Paragraph Rewrite with AI ·         Sales Prospecting Training for Individuals ·         FlyMSG Enterprise Sales Prospecting Training Program Install FlyMSG for Free: ·         As a Chrome Extension ·         As an Edge Extension   Grammar intention-setting Ignore all Proofread in dialog Settings Disable

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Lee Hackett, CEO of Blueprint X, about the transformative impact of AI on sales and customer experience. They discuss how AI enhances sales performance, the importance of hyper-personalization in customer interactions, and the role of AI in managing the sales process. Lee shares insights on the misconceptions surrounding AI, its potential to improve forecasting accuracy, and the future of sales as AI continues to evolve. The conversation highlights the need for businesses to adopt AI technologies to unlock their full potential and drive productivity gains. Takeaways AI is reshaping the sales landscape by enhancing performance. Hyper-personalization will redefine customer experiences. Sales coaching is evolving with AI-driven insights. AI can streamline the entire sales process. Forecasting accuracy is improving with AI technologies. Misconceptions about AI's impact on jobs persist. AI is expected to drive significant productivity gains. The orchestration of sales processes is becoming crucial. Emerging technologies are rapidly changing the sales environment. The future of sales will see increased wealth for top performers. Chapters 00:00 Introduction to AI in Sales 01:26 AI's Impact on Sales Performance 05:52 Enhancing Customer Experience with AI 08:32 AI in Sales Process Management 11:20 AI as a Sales Coach 14:01 Misconceptions About AI in Sales 16:38 AI in Sales Forecasting 20:34 The Future of Sales with AI 23:05 Emerging Technologies in AI 25:04 The Value of Orchestration in Sales The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, Chad Burmeister speaks with Ali Parandeh about the evolution of AI, particularly focusing on generative AI and its transformative impact on customer experience and sales processes. They discuss the advancements in AI tools, the importance of context in AI applications, and the skills sales professionals need to thrive in an AI-driven landscape. The conversation also touches on innovative technologies that are shaping the future of AI and how businesses can leverage these tools for efficiency and personalization. Takeaways Generative AI is revolutionizing how we interact with technology. AI can create personalized customer experiences in real-time. Advanced AI applications can automate complex sales processes. AI tools are becoming essential for modern businesses. Context engineering will be crucial for effective AI deployment. Sales professionals should embrace AI tools to enhance productivity. Automation can free up time for more creative tasks. AI can assist in content creation and documentation. Understanding AI's capabilities is key for future success. Curiosity and experimentation with AI tools can lead to innovation. Chapters 00:00 Introduction to AI and Generative AI 02:30 Transforming Customer Experience with AI 04:26 Advanced AI Applications in Sales 10:21 Innovative AI Tools and Success Stories 13:11 Navigating AI's Impact on Creativity 17:54 The Future of AI Technologies 21:47 Essential Skills for Sales Professionals The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Top TakeawaysAI's real win in sales right now: offload repetitive tasks (triaging inboxes, drafting replies/follow-ups, note-taking, CRM updates) so sellers can focus on discovery, demos, and closing. Time to value is the new battleground. ChatGPT has reset expectations; buyers want activation on day one, not week 12. Meta-prompting → compounding quality. Prompts and personas should self-improve as your style and outcomes evolve. Context engineering increases quality. Simple details (who/where/when) measurably boost LLM output quality. Adoption reality check. Biggest blocker isn't tech—it's org inertia and middle-management friction. Start with a tiger-team pilot.Be great at your craft first. AI massively amplifies already-excellent practitioners. The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth.Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Jason Kramer, CEO of Cultivize, about the intersection of AI, sales, and marketing. They discuss Jason's journey from graphic design to sales consulting, the transformative impact of AI on customer experience, and how businesses can leverage AI for lead nurturing and CRM optimization. The conversation also addresses common misconceptions about AI, the importance of timing and relevance in sales, and the future of AI in reporting and data analysis. Takeaways AI can personalize marketing efforts at scale. Understanding the connection between marketing spend and sales outcomes is crucial. AI tools can enhance customer experience through chatbots and data visualization. Data enrichment is essential for effective lead nurturing. Using AI to craft communication can save deals and improve responses. Misconceptions about AI often limit its application in personal and business contexts. Timing and relevance are key factors in successful sales strategies. AI can help identify trigger points for customer engagement. The future of AI in sales will focus on dynamic reporting and data analysis. Human oversight is necessary to ensure AI-generated content aligns with brand voice. Chapters 00:00 Introduction to AI in Sales 01:54 Jason Kramer's Journey in Sales and Marketing 04:43 AI's Impact on Customer Experience 07:26 Leveraging AI for Customer Acquisition 10:41 Using AI to Save Deals 14:11 Misconceptions About AI 17:20 Improving Lead Conversion Rates 22:41 The Future of AI in Sales and Marketing The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister interviews AI expert Mo Ezderman, discussing the evolution of AI, its impact on customer experience, and the importance of human involvement in AI systems. They explore emerging technologies, misconceptions about AI, and the ethical responsibilities of developers. Mo emphasizes the need for individuals to adapt and learn new skills to thrive in an AI-driven world, advocating for a proactive approach to understanding and utilizing AI technologies. Takeaways AI technology is here to free us from mundane tasks. Customer experience is transformed through AI by optimizing processes. Emerging AI technologies include agentic systems that prioritize information collection. AI misconceptions often stem from the belief that AI is always correct. Human involvement is crucial in AI systems to ensure quality and accuracy. Automation should enhance personal touch rather than replace it. Future AI will likely involve more natural voice interactions. Ethics in AI development requires governance and responsibility from all stakeholders. Individuals should actively engage with AI tools to enhance their skills. A good sense of judgment is essential when interacting with AI. Chapters 00:00 Introduction to AI and Its Evolution 03:16 Transforming Customer Experience with AI 08:48 Innovative AI Applications in Various Industries 11:59 Understanding AI Misconceptions 16:14 Balancing AI Automation with Human Touch 19:54 Emerging AI Technologies and Future Trends 23:38 Ethics and Responsibility in AI Development 27:18 Skills for Thriving in an AI-Driven World The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Send us a textWhat if the secret to great parenting wasn't found in perfect discipline strategies or elaborate educational plans, but in simply showing up? Tyler White, BDR with Akkodis and host of the Timeout with Leaders podcast, brings a refreshingly authentic perspective to fatherhood that will make you rethink your approach to family leadership.Growing up as the son of a high school football coach, Tyler learned early that commitments weren't optional—they were sacred. "The word commitment was like the real C-word in my family," he shares with a laugh. This foundation shaped him profoundly, but it's his two-and-a-half-year-old daughter Ella who's teaching him the most valuable lessons now. Watching her play with zero expectations has awakened his inner child and reminded him that sometimes the best leadership happens when we let go of control.The conversation takes powerful turns as Tyler recounts meeting his wife in sixth-grade church group, losing touch for twenty years, and then reconnecting through Facebook to build a beautiful family together. He vulnerably shares his growth areas as a dad, particularly in fully appreciating the challenges his wife faces as a stay-at-home mom. "Really understanding how much effort and energy that takes out of somebody and always remembering that," he reflects, is his ongoing work.Perhaps most compelling is Tyler's story about learning service from a colleague who drove twenty hours to help someone move without seeking recognition. "When you tell people about your serving, the grace is gone," the colleague explained—a principle that transformed Tyler's approach to both business and fatherhood. His three guiding principles—show up consistently, serve without expectations, and don't take yourself too seriously—offer a powerful framework for any dad looking to strengthen their family leadership.Whether you're a new father finding your footing or a seasoned dad seeking renewed purpose, this conversation will inspire you to embrace the joy of fatherhood without the pressure of perfection. Subscribe now to hear more authentic conversations with dads who are working to become better quarterbacks of their homes.Support the showPlease don't forget to leave us a review wherever you consume your podcasts! Please help us get more dads to listen weekly and become the ultimate leader of their homes!