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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!

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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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

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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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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Sales Management in the Age of AI: Aligning Marketing, Messaging & Revenue Generation

When it comes to modern B2B revenue generation, the conversation is shifting: it’s no longer just about cycle time or activity metrics, it’s about intent, predictive insights, and sharpening your approach to lead engagement. In this post, we unpack how artificial intelligence (AI) can reinforce your sales management discipline, refine your sales processes, and elevate your team’s business acumen.

Many sales organizations still rely on traditional lead-scoring models: “five points for a white-paper download, ten points for visiting the pricing page.” These rules-based frameworks sit at the heart of countless debates over marketing-qualified lead (MQL) vs. sales-qualified lead (SQL). Yet research shows that such arbitrary scoring systems often perform little better than chance.

By contrast, predictive lead scoring powered by AI changes the game: algorithms ingest data from your CRM, marketing automation, website activity, firmographics and behavior patterns. They then compute each lead’s statistical probability of converting, turning your outreach efforts from scatter-shot to precision-targeted.

In value selling, the objective is to engage high-potential buyers with meaningful differentiation—messaging that resonates with their specific business challenges. When your team is handed leads that reflect a 90 %+ probability of conversion, the conversation changes: it becomes strategic, not just transactional. Your reps spend less time chasing noise and more time facilitating high-impact dialogues.

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From Leads to Clients: How Aligning Sales and Marketing Fuels Sustainable Growth

There’s a common sentiment among sales teams this time of year: a sense of urgency. The calendar flips, Q4 starts, and suddenly it feels like you’re already behind. Sound familiar? That mid-Q4 pressure is real. But before you sprint into outreach and activity, step back and assess what’s actually fueling your pipeline? More importantly, is it aligned with long-term growth?

Sales leaders and CEOs often default to lead generation as the focal point. It’s understandable. More leads, more conversations, more deals, right? But that mindset skips a critical first step. You can’t scale what isn’t aligned. If your marketing message doesn’t match your sales conversations, you’re wasting time and budget. If your sales team is chasing poorly qualified leads, you’re burning cycles. And if your customers can’t articulate why they bought from you, you’ve got a positioning problem.

The foundation starts with clarity. What value do you truly deliver? Why do customers choose you over alternatives? If you can’t answer that in a clear, 50-word statement, your team is likely improvising in the field, and that’s costing you revenue. This is where sales and marketing alignment becomes more than just a buzzword. It’s operationally necessary.

Sales enablement isn’t only about tools and training. It’s about empowering sales with the right message at the right time. That starts with defining three core customer states:

  1. leads,
  2. prospects,
  3. clients.

Each phase requires different messaging, timing, and expectations. Most organizations blur those lines. That’s where inefficiency creeps in.

Leads sit at the top of the funnel. They are either unaware or only lightly aware of your offering. At this stage, marketing owns the responsibility. However, marketing without sales feedback is akin to shooting in the dark. Sales needs to inform marketing what makes a lead qualified.

  • What signals intent?
  • What common objections surface early?

Without that feedback loop, marketing tends to optimize for volume rather than quality.

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The Future of Prospecting: Using Artificial Intelligence to Read Buyer Intent

The modern salesperson faces two extremes: total blindness or total overload. Some still cold call a list of fifty prospects hoping one will answer, while others drown in dashboards flashing with “intent data.” Both approaches fail because neither interprets what the data truly means.

The future of sales management lies in balance — using artificial intelligence to translate buyer behavior into clear, prioritized action. AI can read digital body language, scoring every click, visit, and download to reveal genuine purchase intent. This isn’t about replacing salespeople. It’s about enabling them with sharper business acumen and faster, more precise decision-making.

When sales leaders align technology with disciplined sales processes, they move from guesswork to guidance. Value selling becomes tangible because messaging is timed to the buyer’s journey, not to the rep’s quota. The best teams build standardized playbooks for each stage — from early curiosity to re-engagement — and rely on revenue management data to decide when to act.

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Differentiating Through Value: Mastering the Art of Consumable Sales

Navigating the competitive landscape of consumable sales calls for a thoughtful and kind-hearted approach. Salespeople, sales managers, and CEOs of small companies should remember that their role is about more than just making transactions. In a market where products often seem very alike in quality and price, what truly sets you apart is your ability to consistently show value. So, how can you create lasting relationships with your customers, even when many options are available?

Consider the analogy of fast-food giants like Burger King and McDonald’s. Both offer similar products, yet they each have a dedicated customer base. The key lies in creating a unique selling proposition that resonates with your target audience. 

As a salesperson, your goal is to become indispensable to your customers. This means transforming from a mere vendor to a trusted advisor who is deeply integrated into the customer’s business operations.

Become Part of Their Team

A critical part of this integration is understanding what a “gatherer” is. A gatherer is more than just an account manager. They build a close, almost inseparable bond with the customer. They become a trusted part of the customer’s team, often turning to them for advice and solving problems together. Building this kind of trust requires a genuine understanding of the customer’s business, enabling you to offer insights and solutions that extend beyond the products you provide.

In the realm of consumable sales, where products are used and replaced regularly, the salesperson’s value lies in their ability to maintain and continually grow the relationship. This involves not just selling a product but also selling yourself and your company. Your expertise, reliability, and ability to anticipate and solve problems become the key differentiators. When customers face challenges, they should instinctively think of you as the go-to person for solutions, regardless of minor price differences or delivery times.

To attain this trusted advisor status, you must focus on three core elements: 

  1. the product, 
  2. the company, 
  3. yourself. 

While the product and the company are essential, the most significant value often comes from you as the salesperson. Your ability to understand the prospect’s needs, guide their purchasing decisions, and challenge them to think differently about their business can set you apart from the competition.

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