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Leadership

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!

How to Build a Sales Organization That Survives a Founder Exit

Navigating the complexities of business transitions can be quite a journey, especially for those in sales and leadership roles. When a founder chooses to pass the baton, whether through selling to someone outside the company, passing it within the family, or setting up an employee stock ownership plan, each option comes with its own unique challenges and chances for growth. For salespeople, sales managers, and CEOs of small companies, understanding these dynamics is really important.

When a business owner considers selling to an external buyer, they often experience a surprising realization: the valuation shock. It’s common for owners to overestimate their company’s worth, only to encounter a reality check during the valuation process. This moment is so important because it influences all future negotiations and strategies. Buyers don’t just look at the numbers; they also carefully examine the business’s sales processes and the owner’s involvement. Here, the owner’s role as the main salesperson can be both a strength and a challenge. If the owner accounts for a large share of sales, such as 30%, it can worry potential buyers. 

The key is to build a business that can thrive even when the owner isn’t around, supported by a solid sales system and a talented team eager to keep everything running smoothly.

For the owner contemplating a sale, preparation is key. 

The question to ponder is: what if you were suddenly unavailable? 

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Build a Repeatable Sales Process Using Buyer Personas

In the world of sales, consistency is a cornerstone for success. Salespeople, sales managers, and CEOs alike strive to find a sustainable way to grow their business, and one effective strategy is to focus on buyer personas. Identifying and understanding these personas can streamline the sales process, making it easier to target the right customers and tailor your approach to meet their specific needs.

Consistency is key. When you consistently sell to profitable companies that see value in your solutions, you can standardize your sales processes and messaging. This consistency allows you to tweak and improve your methods incrementally, rather than making wild changes that may not lead to profitability. Many small companies don’t have the luxury of unlimited cash flow. They need to be mindful of their line of credit and ensure that their accounts receivable don’t get out of hand. By focusing on companies that are easy to sell to and where your product or service fits seamlessly, you can make your clients successful and maintain a steady growth trajectory.

The entrepreneurial operating system (EOS) is a valuable framework that helps businesses achieve consistency. By setting firm foundational corners, such as data, people, and core processes, businesses can create a structured environment where everyone can succeed. For sales departments, this means formalizing not only the messaging but also the reporting structure, job descriptions, core goals, and key behaviors. Consistency in these areas leads to reliable and repeatable results.

A repeatable sales process is crucial. If everything is custom, nothing is standardized, and this can lead to chaos. Sales leaders must set the standard for consistency, and both business owners and salespeople need to align themselves with these consistent behaviors. Standardizing the sales process enables better forecasting and a more predictable customer flow.

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The Buyer’s Clock Starts Before Your Sales Team Notices

A buyer does not become urgent when your CRM creates a record. The buyer became urgent earlier; at that moment, they decided the problem was worth interrupting their day for. That distinction matters because too many B2B companies design their inbound process around internal workflow rather than buyer momentum. A prospect searches, compares, reads, evaluates, talks to a peer, visits your site, reviews your proof, and finally raises their hand. Then the company they contacted… 

Revenue Forecasting Should Be Built on Evidence, Not Hope

Most sales forecasts are not really forecasts. They are seller opinions, manager adjustments, CRM fields, historical averages, and optimism packaged into a number that leadership is expected to trust.

That may have been acceptable when forecasting was mostly an internal sales exercise. It is not acceptable when the board, finance, hiring plans, customer success capacity, and investor expectations are all tied to the revenue number.

The core problem is not that sales leaders are careless. The problem is that many revenue teams are still using an architecture that cannot produce predictability. Spreadsheets, commit calls, and stage rollups organize information, but they do not necessarily reveal the buyer’s truth.

The better question is not, “How confident is the rep?”

The better question is, “What did the buyer actually do?”

That shift changes the entire operating model. Forecasting moves from hope-based to evidence-based. Deals are no longer judged by the confidence in a seller’s voice but by observable buyer behavior: recent engagement, executive involvement, mutual action plans, legal or procurement movement, real next steps, and date-driven urgency.

This is where artificial intelligence and revenue intelligence become useful, but only if the management system is ready for them. AI can identify patterns, detect risk, surface stalled deals, and compare buyer behavior against historical outcomes. But it cannot compensate for weak sales processes, vague stage definitions, poor CRM hygiene, or managers who refuse to inspect the evidence.

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Compelling Events: Shorten Sales Cycles & Improve Forecasts

Deals move when the buyer’s business calendar forces a decision.

A real compelling event is the operating discipline that separates pipeline from possibility. It gives urgency a business reason, attaches dates to consequences, and forces both sides to decide whether the opportunity deserves serious time, resources, and executive attention.

Many salespeople confuse need with urgency. That mistake creates bloated forecasts, stalled proposals, and too many “just checking in” follow-ups. A prospect can have a real need and still have no reason to act now. They may need

  • better integrations,
  • stronger reporting,
  • reduced churn,
  • tighter compliance,
  • faster workflows,
  • a cleaner technology stack.

Those needs matter, but they can live on a roadmap indefinitely.

A compelling event changes the conversation because something meaningful happens by a specific date.

  • An audit is scheduled.
  • A contract expires.
  • A board commitment has been made.
  • A market launch is tied to revenue.
  • A facility lease ends.
  • A regulatory requirement becomes enforceable.
  • A major customer is at risk.

These events create pressure because delays have consequences beyond the buying team’s preferences.

That is the standard. A compelling event has a date, an owner, and a consequence.

The Difference Between Interest and Commitment

Interest sounds productive in a sales conversation. Commitment behaves differently.

Interested buyers will schedule meetings, request demos, review capabilities, and discuss future-state improvements. Committed buyers will help you understand the decision path, expose internal constraints, validate timing, and clarify what happens if the outcome is missed.

The difference matters because your forecast depends on the customer’s decision reality, not your sales activity.

A compelling event gives you that reality. It tells you why the buyer is engaged now, who owns the risk, what business outcome must be protected, and which internal processes must be navigated to get there. Without that clarity, the opportunity may still be real, but it should be treated as unproven.

Sales leaders should inspect this with discipline. “They are excited” is not a compelling event. “Budget season” is not enough. “They want to modernize” is too soft. The better question is: what changed in their business that makes inaction costly?

That question protects your time and the buyer’s time.

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Why AI in B2B Sales Fails at the Last Mile and How to Fix It

Most conversations about AI in B2B sales focus on speed. Fewer focus on control. That is the blind spot.

AI can produce drafts, summaries, research, and follow-up frameworks in seconds. That part is real. But the final 20%, the last mile, is where revenue quality is either protected or destroyed. That final layer requires human judgment: context, timing, risk assessment, and the decision of what should happen next.

The central operating issue in sales today is not effort. It is an allocation. Too many high-value salespeople are spending prime hours on low-value administrative work. CRM cleanup. Internal updates. Document hunting. Manual transcription. Reformatting information that should already be structured. That is a sales management design flaw, not a rep discipline issue.

When sales organizations fix this, performance changes fast. More customer-facing time creates more trust-building interactions. More trust creates better access, stronger positioning, and better conversion outcomes. This is not theoretical. It is how revenue generation compounds in real markets.

The right model is not “AI only.” It is a hybrid model: deterministic automation for correctness, AI for speed and language quality, human oversight for business judgment.

Deterministic systems should control anything that must be exact: pricing, contract elements, offer logic, approval rules, and data integrity. AI should then layer natural language, personalization, and messaging refinement on top of verified inputs. This is how you scale value selling without introducing preventable errors.

If your team is still using AI as a standalone drafting tool, you are under-leveraging it. If your team is sending AI output without last-mile review, you are overexposing the business. The goal is not automation theater. The goal is repeatable, high-confidence sales processes that increase throughput without compromising trust.

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Zombie Deals in B2B Sales: How AI Improves Forecast Accuracy and Coaching

Zombie deals aren’t a pipeline nuisance. They’re a leadership problem with a math problem attached.

A deal that sits in “Proposal” for months doesn’t just cloud your forecast. It steals capacity. Every hour a rep spends nurturing a flatlined opportunity is an hour not spent creating new demand, advancing real deals, or improving customer trust. Multiply that across a team, and you get the same symptom every quarter: missed numbers, reactive hiring decisions, and management time wasted on interrogations that create more friction than clarity.

The common response is predictable: more pipeline discipline. More required fields. More approvals. Longer forecast calls. More “updates.” That feels like control, but it’s usually just activity theater. It increases administrative drag and reduces selling time, exactly the opposite of what revenue management needs.

The fix is a mindset shift: move from intuition to evidence.

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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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