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Skinned Knees Blog

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!

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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The Producer Mindset: Tech-Led, Human-Centric Selling for Faster Pipeline Velocity

Administrative drag is not an inconvenience. It’s a structural failure in modern B2B sales that quietly taxes performance, slows pipeline velocity, and degrades your ability to show up sharp for buyers.

The pattern is predictable. You earn a hard-won meeting with an executive. You know you need a tailored deck that speaks to their priorities. Then reality hits: marketing is backlogged, design is unavailable, and you’re left formatting slides at night like a part-time desktop publisher. That’s the sales tax: time and energy spent on non-selling work that steals capacity from revenue generation.

This is the Tollbooth Effect in action. You build momentum in discovery, then you hit the system’s plaza: CRM updates, meeting notes cleanup, searching old folders for case studies, and wrestling with presentation software. The deal cools while you “pay.” Your edge dulls, not because you can’t sell, but because the operating model forces you into manual labor at the worst possible moment.

The fix isn’t working harder. It’s changing the role you play in the workflow.

In the Producer Mindset, your highest value isn’t typing, formatting, or slide layout. Your highest values are judgment, strategy, and human connection, and those can’t be automated. Technology should lead on mechanics while you stay accountable for truth, tone, and impact. This is a tech-led, human-centric approach: AI accelerates the work, but you control the meaning.

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

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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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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Building a Zero-Cost AI Sales Stack: How to Validate Value Before You Spend a Dollar

Most sales leaders today feel the tension between innovation and fiscal responsibility. You know artificial intelligence can accelerate productivity, clarify messaging, and drive revenue generation. You also know your competitors are implementing AI-driven sales processes and reaping the benefits. Yet you are expected to somehow produce results without the budget to experiment, test, or validate new technology.

This pressure creates the classic chicken-and-egg dilemma. You cannot get budget approval without demonstrating value, but you cannot demonstrate value without access to capable tools. That tension often leaves sales leaders paralyzed, observing advancements but unable to participate. It is an exhausting cycle that erodes confidence and slows down organizational progress.

The good news is that modern software economics have shifted. You no longer need an enterprise-level budget to run meaningful AI pilots. Instead, today’s freemium models allow teams to build real workflows, automate real processes, and create real sales success with no financial risk. These free tiers exist because vendors want you to become reliant on the workflow, meaning you can use that dynamic to your advantage as you design early-stage pilots.

A practical approach for sales management is to treat free AI tools as validation engines rather than long-term solutions. You begin with lightweight experimentation, focusing on a single friction point that slows your team. Whether the issue involves pre-call research, drafting follow-up emails, or scoring inbound leads, AI can automate repetitive tasks, freeing your sellers to focus on value selling. The goal is not perfection; it is measurement.

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How AI-Powered Contact Enrichment Transforms B2B Sales Conversations

In today’s fast-paced B2B world, sales teams can no longer afford to waste hours gathering prospect data manually. Artificial intelligence has enabled the automation of contact enrichment, transforming basic contact records into comprehensive profiles rich in actionable business intelligence.

Contact enrichment powered by AI doesn’t just make your team faster; it makes them smarter. By combining multiple data sources into unified profiles, your sales organization gains the kind of business acumen that enables precision-targeted messaging and true value selling. The difference between a generic pitch and a relevant, consultative conversation often comes down to the quality and depth of the data your team has at its fingertips.

Platforms like Clay, Clearbit, Apollo, and ZoomInfo give sales leaders visibility into company size, funding rounds, leadership changes, technology stacks, and even recent business developments. This transforms your approach from transactional outreach to consultative engagement rooted in strategic intelligence. The outcome is faster response times, higher conversion rates, and more meaningful sales conversations.

The beauty of these systems lies in their integration with CRMs like HubSpot, Salesforce, or Pipedrive. Automated workflows ensure that every new lead entry is enriched in real-time with firmographic and behavioral insights. This is how sales teams reduce their research time from hours to minutes while maintaining the quality of personalized outreach that customers expect.

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