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What An MBA Didn’t Teach You About Sales

The sales profession is challenging. You need to work hard at it to succeed. You need to learn from the best. You need to improve your skills continuously. If you think you can sell since you are a hit at parties and have a lot of friends, you may soon find that you are a failure as a salesperson. Blunt truth:

because the sales profession is so hard, you have to focus on doing everything in sales very well, or you will be considered a failure.

I call this blog, Skinned Knees because I try to relate all of the learning that I have done over the past 4+ decades (while skinning my knees in the learning process).

I hope that you learn from my mistakes so that your business will grow!

The Dual Blueprint Requirement: Why Growth Demands Two Plans, Not One

Launching a company or steering one through a merger, turnaround, or major transition requires clarity about how value will be created and, just as importantly, how revenue will actually be generated.

Many leadership teams recognize the need for a Business Plan, but overlook that sustainable growth requires a second, complementary plan. The main breakdown is not the strategy itself, but the assumption that strategy automatically creates revenue. Bridging strategy and revenue requires a distinct plan for that conversion, targeting a different audience.

The Business Plan sets direction from the top down. The Sales Plan is validated by demonstrating how that direction can become actual revenue from the bottom up.

Both are essential. Neither works in isolation.

The Business Plan: Charting the Course (Top-Down)

The Business Plan exists to answer specific questions for a particular audience. Its primary readers are CEOs, CFOs, bankers, private equity partners, and venture investors. These stakeholders are evaluating risk, scale, and return. They want to know where the company is going and why the destination is worth the journey.

At its core, the Business Plan articulates strategic intent. It defines the mission, the long-term objectives, and the differentiated value proposition that the company believes the market will reward. It frames the opportunity in language that aligns leadership, capital, and governance.

Market analysis in this context is necessarily high-level. It focuses on the total addressable market, industry dynamics, competitive positioning, and macro trends. The goal is not to explain how every deal will be won, but to establish that a meaningful opportunity exists and that the company has a credible right to pursue it.

Financial projections follow the same logic. They are built on broad assumptions: projected market share, average selling price, renewal and retention rates, inflation, and multi-year revenue targets. These numbers are directional. They signal ambition and scale rather than operational certainty.

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Sales Management with AI: Chat Interfaces vs. Automation Workflows

Sales organizations today face a critical decision: should they rely on interactive chat interfaces like ChatGPT, Claude, or Gemini, or should they focus on automation workflows? The answer isn’t either/or. Each approach has unique strengths, and choosing the right one directly impacts sales processes, productivity, and revenue generation.

The problem many sales teams encounter is “random implementation.” They hear about a new AI tool, adopt it quickly, and use it for the wrong purpose. The result? Chat interfaces get bogged down with repetitive work, and automation gets tasked with jobs that require creativity and nuance. Misuse not only reduces efficiency but also frustrates teams and erodes trust in artificial intelligence altogether.

So how do you know when chat is the right fit? The decision comes down to task complexity and uniqueness. Chat excels in situations that require creativity, flexibility, and human judgment. Four categories consistently stand out:

  • Creative and strategic tasks: proposals, executive messaging, strategic planning, and competitive positioning.
  • Complex problem-solving: sales opportunity strategy sessions, unique customer needs, and crisis management.
  • Learning and development: role-playing objection handling, skill coaching, and competitive intelligence training.
  • Research and analysis: prospect research, market analysis, and strategic planning.
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The AI Sales Process Map: The Ten-Stage Sales Process Framework

Sales leaders today often fall into the trap of using artificial intelligence tools randomly rather than systematically. This sporadic usage is like owning a Swiss Army knife but only using the bottle opener; you miss out on ninety percent of the available value. AI’s real power comes not from isolated tools but from integrating capabilities across every stage of your sales processes. When mapped correctly, AI accelerates every interaction, shortens sales cycles, and makes revenue generation more predictable.

Random AI adoption leads to inconsistent results. Some reps use it effectively, while others revert to manual methods under pressure, resulting in uneven performance. Systematic AI integration, however, compounds improvements across the entire sales cycle. Data captured at one stage strengthens the next, creating a virtuous cycle of sales success that is scalable, measurable, and sustainable. The outcome is not just faster deals, but stronger business acumen and more consistent revenue management.

The ten-stage AI sales process framework provides a structured way to apply AI:

  1. Prospecting,
  2. Outreach,
  3. Qualification,
  4. Scoping,
  5. Presentation,
  6. Economic Buyer meetings,
  7. Validation Events,
  8. Proposals,
  9. Closing,
  10. Onboarding/expansion.
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Hiring for Growth: How to Build a Sales Team That Drives Long-Term Success

Building a successful sales team requires more than just filling open seats with available candidates. Company leadership must strategically align its hiring process with business objectives, market needs, and long-term goals. 

Whether you’re a solopreneur transitioning to a team-based approach or a CEO managing a growing sales force, the principles of intentional recruitment and onboarding remain the same. Hiring the right people is an investment in the future of your business.

One of the most common pitfalls in sales hiring is a lack of intentionality. Too often, small businesses hire out of convenience, choosing candidates from their immediate network or taking the first person who seems interested. While this approach may solve an immediate need, it rarely leads to long-term success. 

Hiring a salesperson means selecting someone who can actively drive growth and represent your brand with competence and integrity. The stakes are even higher when you’re working with a lean team; every hire matters, and mediocrity is not an option.

To avoid these missteps, it’s essential to approach hiring with the same rigor you apply to your sales process. Think of recruiting as a parallel to securing a high-value client. Just as you wouldn’t sell your product without qualifying leads or understanding their needs, you shouldn’t hire without a structured process to evaluate candidates. 

Begin by defining what success looks like for the role. What skills and attributes are non-negotiable? What specific outcomes do you expect this person to achieve within their first 90 days? A clear job description and measurable KPIs set the foundation for finding the right fit.

Cultural alignment is another critical factor. Your salespeople are the face of your business to prospects and customers. Their ability to embody your company’s values and mission can make or break the customer experience. A candidate might have a stellar track record, but if their approach clashes with your team’s culture, the partnership is unlikely to succeed. At the same time, skills and experience must align with the specific demands of the role. For instance, if your goal is aggressive market penetration, you need a hunter mentality, someone skilled in building relationships from scratch and closing deals in uncharted territory.

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Choosing the Right AI Stack for Your Sales Organization

A VP of Sales recently confided in me: “We have six different AI tools, but our reps are still doing manual work. What went wrong?”

This is the AI tool proliferation problem. Sales leaders often collect tools without a strategy, mistaking a pile of features for a cohesive system. It’s like buying a hammer, screwdriver, saw, and drill without realizing you’re actually trying to build a house. An effective AI stack means integration. When tools work together, they amplify each other’s value. When they don’t, they add complexity, confusion, and wasted money.

Why Strategy Beats Random Adoption

Random tool adoption is rampant across sales organizations. Teams chase shiny new software, often ending up with overlapping features, siloed data, and productivity lost to tool-switching. Instead of solving problems, the stack itself becomes the problem.

But when built strategically, the benefits are profound. Integrated systems reduce manual data entry, accelerate response times, and deliver actionable insights for reps. Three well-chosen, well-connected tools can outperform six isolated ones. Integrated stacks also improve adoption rates by providing consistent interfaces and reducing training overhead.

The Five-Layer AI Stack Framework

To avoid the chaos of random adoption, I use a five-layer framework for structuring sales AI tools:

  1. Data Foundation – Your CRM and data management system, enriched and maintained for accuracy.
  2. Intelligence & Analytics – AI-driven insights, lead scoring, forecasting, and market intelligence.
  3. Automation & Workflow – Sequences, task automation, and cross-platform orchestration.
  4. Content & Communication – AI writing, proposal generation, and customer-facing tools.
  5. Optimization & Learning – Conversation analysis, performance tracking, and continuous improvement.
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AI Isn’t Replacing Salespeople, It’s Giving Them a Competitive Edge

AI isn’t replacing salespeople, it’s making them more effective. The real risk isn’t losing your job to AI; it’s losing to a competitor who uses AI better than you do. Sales professionals who integrate AI into their workflow will outperform those who don’t. 

It’s not about technology taking over but about using technology to gain an edge. The market is becoming increasingly competitive, and the most efficient salespeople will emerge victorious.

Time is a salesperson’s most valuable asset. 

Every minute spent on administrative tasks is a minute not spent selling. AI helps reclaim those lost hours. Tools that automate writing, scheduling, and research allow salespeople to focus on what matters: building relationships and closing deals. If you’re not leveraging AI to increase productivity, you’re leaving opportunities on the table.

Sales emails need to be clear and professional. AI-powered writing assistants ensure your messages are polished and effective. A poorly written email can cost you a deal. AI tools catch grammatical mistakes, improve clarity, and even suggest more effective phrasing. This isn’t just about looking professional; it’s about being understood. 

If your message isn’t clear, it won’t convert.

Presentations are another time-consuming task. AI can generate professional decks in minutes. Instead of spending hours designing slides, salespeople can focus on developing effective strategies. AI-powered tools create branded, structured presentations based on simple inputs. This ensures consistency while saving time. Sales professionals who utilize AI for presentations can focus on delivering insights rather than formatting slides.

CRM systems are the backbone of sales operations. AI enhances CRM by automating data entry, tracking customer interactions, and suggesting next steps. Salespeople often struggle with keeping CRM data updated. AI reduces this friction by automatically capturing and organizing information. A well-maintained CRM leads to better forecasting and stronger customer relationships. 

If your CRM doesn’t have AI capabilities, it’s time to upgrade.

AI-driven insights enable sales managers to make more informed decisions, rather than relying on instinct. Managers can use AI to analyze performance trends, identify coaching opportunities, and predict revenue outcomes. AI doesn’t replace leadership; it enhances it. 

Sales managers who adopt AI can build stronger teams and achieve better results. Ignoring AI in sales management is a strategic mistake.

Lead generation is another area where AI adds value. AI-powered tools can analyze vast amounts of data to identify high-potential prospects. Instead of spending hours researching leads, salespeople can receive AI-generated recommendations. This allows for more targeted outreach and higher conversion rates. AI doesn’t just find leads, it finds the right leads.

Sales follow-up is often inconsistent. AI ensures follow-ups happen at the right time with the right message. Automated reminders and AI-generated responses keep deals moving forward. 

A well-timed follow-up can be the difference between closing a deal and losing it. AI helps salespeople stay on top of their pipeline without relying on memory.

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Transforming Quota-Setting: Strategies for Sales Leaders to Optimize Performance and Revenue

Quota-setting is one of the most misunderstood elements of sales leadership. Too often, it’s treated as a spreadsheet exercise or a top-down directive, rather than a strategic lever that drives behavior, performance, and growth.

Whether you’re leading a team of 20 or you’re the founder managing three reps, how you define quotas has a direct impact on your revenue trajectory and your team’s motivation.

So, where do you start?

With timing. If you’re not delivering quotas to your team until February or March, you’re already behind. Salespeople need clarity by December. That gives them runway to plan, prioritize, and hit the ground running in January. Delayed quotas create confusion and stall momentum. To achieve a strong Q1, you need to equip your team early.

Quota-setting varies depending on the size of your company. Larger teams offer more flexibility. With 10 or more reps, you can spread risk, balance performance, and model averages. You’ll have top performers who consistently overdeliver, alongside newer reps who are still ramping up. The law of averages works in your favor. You can afford some variance. Smaller teams don’t have that luxury.

When you’re running a small team, maybe two or three reps or founder-led sales, every individual matters. One person missing quota can tank your number.

You can’t rely on averages. You need precision.

That means tying quotas to actual relationships, known opportunities, and real probability. It’s not about slicing up a target evenly. It’s about assigning numbers based on what’s realistically achievable in each territory or account list.

Territory design plays a big role here. Whether it’s geographic, vertical, or named accounts, quota must reflect the market potential. You can’t expect equal performance from unequal opportunity. If Rep A has 500 viable accounts and Rep B has 50, their quotas shouldn’t look the same unless you have data that says Rep B’s accounts are closer to your Ideal Client Profile. Use available market data to inform the number. Don’t assign quotas in a vacuum. 

In larger organizations, quotas often originate from the top down, typically from finance. The CEO and CFO commit a growth number to the board, investors, or in public filings to the SEC. They have no choice but to pass it down. It’s not uncommon for the sales team to receive the number without context. That’s a problem. If you’re in a leadership role, you need to pressure test that number. Can your team realistically hit it? If not, what additional resources are required?

  • More headcount?
  • Better enablement?
  • Marketing support?

In large organizations where the quota is driven by investor expectations, the VP of Sales must establish an organization well before the new year that achieves this year’s goal, while also meeting the expectation of growth for the next year. Planning ahead, sometimes years in advance, is part of the job.

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ChatGPT vs. Claude vs. Gemini vs. Copilot: Which AI Wins in Sales?

A few days ago, a sales manager asked me which AI platform to use for writing cold emails. I told him it depends on what kind of emails he’s writing, and he looked confused. That confusion is common and costly. ChatGPT, Claude, Gemini, and Copilot all look similar at first glance, but in reality, they serve very different purposes depending on your sales workflow. Choosing the right platform matters because the wrong choice drains time,… ChatGPT vs. Claude vs. Gemini vs. Copilot: Which AI Wins in Sales?

Cut Through the AI Hype: Practical Definitions for Sales Professionals

Artificial intelligence is transforming sales, but too many leaders are investing in tools they don’t fully understand. The result? Costly mistakes, poor adoption, and missed opportunities. This episode of AI Tools for Sales Pros breaks down the three core technologies behind AI: and explains them in plain language that every sales professional can use. The episode compares the current AI confusion to the database revolution of the 1990s. Just as sales leaders once needed to… Cut Through the AI Hype: Practical Definitions for Sales Professionals

AI in B2B Sales Isn’t Optional Anymore

Several months ago, I was serving as a fractional VP of Sales for a $50 million manufacturing company. Their top salesperson was a 15-year veteran who knew the industry inside and out. Yet he was consistently being outsold by a competitor’s much newer hire. At first, it didn’t make sense until we discovered the reason. The competitor’s rep wasn’t just more energetic or aggressive. They were AI-enabled. While my client’s rep was manually scrolling LinkedIn… AI in B2B Sales Isn’t Optional Anymore