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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!

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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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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How Bad CRM Data Breaks AI, Sales Processes, and Pipeline Growth

Most sales leaders do not have a prospecting problem. They have a data-confidence problem disguised as a prospecting problem.

The team is working. Reps are calling, emailing, sequencing, researching, and updating the CRM. But when the data is stale, duplicated, incomplete, or legally questionable, every downstream motion becomes weaker. Outreach gets slower. Messaging becomes less precise. Sales processes become harder to manage. Forecasts become less reliable. AI recommendations become faster, but not necessarily smarter.

That is the real issue with B2B sales intelligence today. Too many companies still evaluate data providers with a phonebook mentality. They ask who has the most contacts, the biggest database, the broadest coverage, or the lowest cost per seat. Those questions are easy to compare, but they rarely answer the question that matters: will this data perform against our ICP, in our market, inside our sales stack?

Artificial intelligence raises the standard. AI tools depend on clean, structured, identity-resolved data. If the CRM has three versions of the same person, five versions of the same account, outdated titles, invalid email addresses, disconnected phone numbers, and inconsistent fields, AI will not fix the problem. It will operationalize the problem.

Identity resolution is the missing discipline. It is the ability to recognize that the same person or company appears across multiple systems and create one authoritative record. Without it, lead scoring, personalization, enrichment, intent data, pipeline analysis, and Revenue management all become suspect.

This is why sales management must treat data infrastructure as a strategic operating issue, not a software-administration issue. Bad data burns money in several directions at once. You pay for the data subscription. You pay reps to manually verify what the subscription should have solved. You pay sales operations to clean up the mess. Then you lose revenue because your team is working on bad records while competitors are already in the right relationships.

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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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Reclaim Selling Time: How AI Eliminates the Sales Tax and Restores Pipeline Momentum

Most sales leaders are trying to solve a 2026 productivity problem with 2010 management logic. They hire more people, increase activity targets, and apply pressure to the same system. The system doesn’t respond because the constraint isn’t an effort. It’s architecture.

The operational reality is brutal: administrative work is consuming the day and choking selling time. Reps are stuck doing low-level research, logging notes, and stitching together follow-ups across disconnected tools. That “sales tax” creates a momentum gap between good conversations and slow execution. The outcome is predictable: fewer high-quality touches, slower deal movement, less accurate forecasting, and a pipeline that looks busy yet remains fragile.

The fix is not another round of tactical efficiency. It’s a structural reversal: move from a human-led, tech-assisted model to a tech-led, human-centric model. In that design, AI does the machine work—data extraction, workflow orchestration, logging, drafting, hygiene—and the human seller does the work that actually wins deals: judgment, stakeholder navigation, risk reduction, and credibility in the moments that matter.

Think of it as building a Cognitive Revenue Engine. Your reps stop being the engine. They become the orchestrators of an automated engine that produces consistent execution at scale.

This shift has two pillars.

Tactical Efficiency is your time reclaimer. Automate the tollbooth moments: post-call notes, CRM updates, basic research, and first-draft follow-ups. This is not about saving a few minutes. It’s about reclaiming hundreds of hours per rep per year and converting them into customer-facing time.

Strategic Intelligence is where the advantage compounds. AI should be used as a decision partner, not a faster typewriter. The questions change from “Can you write this email?” to “Given this account’s context and our past wins, what risk is most likely to stall this deal, and what’s the next best action?” That is the difference between activity and impact, and it’s the difference between noise and revenue generation.

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Two Tall Guys Talking Sales Podcast – Your Sales Team’s LinkedIn Profiles Are Costing You Deals: Fix the Trust Signals – Episode 173

Sales leaders don’t lose deals on product. They lose them on trust signals—especially the ones buyers pick up before the second conversation even happens. In this episode of Two Tall Guys Talking Sales, Kevin Lawson and Sean O’Shaughnessey break down how your team’s digital presence either reinforces credibility or quietly undermines it. The throughline is simple: your sellers’ profiles and posts are part of sales management, part Messaging, and part Revenue management, because they shape… 

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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Admin Drag Is Killing Your Sales Capacity: How to Reclaim Selling Time With AI

Episode 23 of “AI Tools for Sales Pros” is built around a reality most leadership teams have started to feel in their gut. Buying AI does not increase revenue. It might increase activity, content volume, and dashboard noise, but revenue generation improves only when you reclaim selling time and redeploy it into the actions that move deals forward.

The executive version of the problem is simple. Your tech stack cost keeps rising. Your board wants proof that those investments translate into pipeline quality, cycle-time reduction, win-rate improvement, and improved margins. “Are we getting value?” is the polite question. “Where is the revenue?” is what they ask when patience runs out. This is a revenue management problem, not a software problem.

Most B2B companies are operating with a hidden productivity ceiling. Salespeople spend roughly a third of their time on revenue-producing work. The rest disappears into administrative drag: CRM updates, transcript cleanup, internal coordination, re-entering data across tools, searching for collateral, chasing security documentation, fixing records, and managing handoffs. None of that is value selling. Most of it is friction disguised as “process.”

A useful way to see it is the Tollbooth Effect. One approval feels reasonable. One form feels harmless. One handoff feels like good governance. Together, they turn selling into paperwork. The rep has a strong discovery call and a clear hypothesis. Momentum is real. Then they hit the toll plaza: systems require updates, internal teams need briefings, fields need to be filled, and the same information gets retyped because two systems disagree on the truth. By the time the rep finishes paying the tolls, urgency has cooled, follow-up becomes generic, and the deal loses its edge.

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Hiring Your First Sales Leader? Build a Sales Machine, Not a Band-Aid

You are ready to hire your first sales leader when you are prepared to buy leverage, not relief. Titles do not grow revenue. A high-impact sales leader creates durable selling capability, reduces owner dependency, and raises standards through coaching, recruiting, and operating cadence. If what you really want is a second version of you to carry the number and keep deals moving, you are hiring a band-aid, and you will pay for it twice.

Most owners make this hire at precisely the wrong moment. The pressure is real, the pipeline feels fragile, and the business is starting to outgrow informal management. So the owner reaches for the obvious move: “We need a sales manager.” The problem is that the role is designed around short-term comfort rather than long-term capacity. The result is a well-paid administrative firefighter who inherits the chaos instead of fixing the system that creates it.

Before you post a job, clarify the objective. Do you want a revenue driver or a capability builder?

A revenue driver is a manager who helps you hit the number by conducting deal inspections, applying forecast pressure, and holding reps accountable. That can be valuable, but it is often a disguised need for personal production. A capability builder is a leader who creates repeatable performance by improving the quality of selling, tightening hiring standards, and building a coaching system that makes average reps better and good reps consistent. That is the role that changes enterprise value.

Here is the hard truth most owners avoid. If you design a role that combines selling and leading, selling will win. Always. When a leader has a quota, the business trains them to prioritize their own deals over the team’s development. They will “help” reps when a deal is in a late-stage, visible phase, then postpone coaching, recruiting, and onboarding because those activities do not pay this month. Over time, the team remains dependent, the pipeline remains uneven, and the owner remains in the middle.

Assessing readiness: leader or band aid

Readiness is not a revenue threshold. It is an operating decision. The question is whether you will let a sales leader lead.

The owner’s trap is hiring a leader while keeping day-to-day control: still running reviews, intervening in pricing, rewriting emails, jumping on calls, and closing important deals. In that environment, the new leader cannot build authority; they become an assistant with a title. You’ll be frustrated they’re “not taking enough off my plate,” while they’re frustrated at not being able to make decisions without you.

If you want a clean test, look for these warning signs:

  • You are still the primary deal closer and default problem solver.
  • You do not believe the company can make the number without your direct involvement.
  • You step into deals because you do not trust the process, the rep, or the forecast.
  • Your coaching is ad hoc, usually when something goes wrong.
  • Recruiting is episodic, triggered by pain, rather than continuous.
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Stop Betting on Superstars: How Operating Standards Turn Sellers into Predictable Producers

Many teams grow, but few truly scale revenue beyond individual hero efforts. That difference changes everything for leaders today and in the future. Growth relies on hustle; scaling depends on repeatability across segments and individuals. Your strategy must reflect that hard truth in practice.

Are you relying on one standout to win deals month after month? That looks strong until risk turns visible and costly. One resignation can cripple momentum and expose brittle systems that you had previously ignored.

Scalable sales replaces heroics with defined, teachable operating rhythms that everyone follows. It turns chaos into predictable pipeline progress and results. It clarifies markets, messages, motions, and measurable expectations for every seller on a weekly basis. It builds leverage into onboarding and coaching for consistency. It protects margins while systematically accelerating win rates and velocity across territories.

The foundation begins with a clear picture of your ideal customer, including any disqualifying factors. Having an accurate Ideal Client Profile (ICP) helps minimize waste and reduce uncertainty in your efforts. Take time to define firmographics, pain points, triggers, and buying behaviors using consistent language based on shared evidence. Understand who cares about these issues and why it matters to them now. Also, identify negative personas to sharpen your focus and qualification processes in marketing and sales. A well-defined ICP can significantly boost your conversion rates and shorten the sales cycle.

Next, turn your ICP into straightforward messaging and discovery frameworks tailored for each stage. Consider what unique problems you solve for your customers. What outcomes are most important to them, and who are the key stakeholders by role and priority?

Build talk tracks that lead buyers, not chase buyers with purpose always. Anchor questions to the business metrics and risks they feel. Teach a qualification that tests mutual commitment and outlines next steps with attached dates. Avoid fluffy demos; design relevant proofs using their data. Process specificity turns B players into consistent producers without copying another personality.

I suggest you establish a practical, stage-based operating rhythm that everyone can easily understand and follow. By sharing clear definitions and expectations, managing the pipeline becomes a consistent and smooth process each week. Define each stage with specific exit criteria—avoiding vague intentions or subjective feelings. For example, discovery is considered complete when stakeholders confirm the consequences and impact, and solution fit is achieved when success criteria and ownership are clearly aligned. The commit stage should be backed by a shared plan with clear dates and assigned owners. During weekly reviews, focus on assessing quality rather than just quantity or activity counts. Ask yourself:

  • Does evidence from buyers’ backstage moves have a direct impact on their purchasing decisions?
  • Are the next steps specific, mutually agreed upon, and already scheduled on both calendars?
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