messaging

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 Use AI to Write Personalized Cold Emails at Scale

by Sean O'Shaughnessey

It’s Sunday night. You’re staring at your CRM and that dreaded task appears: “Prospecting Block: 100 Accounts.” The feeling in your stomach tells you what’s coming. You’ll either blast generic messages and feel like a spammer or spend hours crafting a handful of handcrafted emails that barely move the needle.

This is the central productivity crisis in modern B2B sales. We’re constantly forced to choose between efficiency and relevance. But what if that choice was a false one? What if artificial intelligence could help you achieve both, without sacrificing your authenticity or sanity?

The False Choice: Efficiency vs. Effectiveness

The traditional approaches to sales outreach, templates versus deep personalization, represent the old world of “one-to-many” or “one-to-one.” But the future of sales lies in one-to-one at scale. The key is understanding that AI isn’t replacing salespeople, it’s augmenting them.

Your job is no longer to write every email from scratch. Your job is to be the editor-in-chief of your outreach strategy. The human decides the target, tone, and message. The AI executes your direction at scale.

The Strategic Brief: Your Blueprint for AI-Powered Outreach

To adopt this workflow, replace your 50-email grind with one Strategic Brief containing three sections:

Voice Profile – Teach AI to sound like you. Include examples of your best emails and guidelines for tone, structure, and style.
Prospect Context – Gather simple, factual data on each contact: title, company, recent events, and pain points.
Mission – Define your goal and message direction. What’s the objective of the email: reply, insight, or meeting?

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Stop Researching, Start Connecting: An AI-Powered System for Warm Introductions

by Sean O'Shaughnessey

Most sales teams begin the week by opening a dozen browser tabs and grinding through scattered research, LinkedIn, Google News, company websites, and databases. Hours later, they emerge with a few generic talking points and a cold list that still feels cold. The deeper issue isn’t inefficiency; it’s invisibility. Warm introductions already exist across your company’s network, in email histories, calendars, and executives’ LinkedIn connections, but you can’t see them on Monday morning.

The Relationship-First approach changes that default. Before a single cold call or email, you perform a deliberate “Warm Path Check.” You ask, “Who do we know who knows them?” This question transforms prospecting from random outreach into a repeatable, data-driven process that prioritizes relationships. When you start as a referred conversation rather than an interruption, skepticism drops, credibility rises, and the sales cycle compresses dramatically.

The Hidden Network You’re Not Using

Every organization has an untapped network, a web of past colleagues, vendors, and clients who could open doors to your dream accounts. The problem is that this network is hidden in plain sight. It lives in the collective memory of your company’s communication patterns, but there’s no easy way to access it manually. That’s where KnowledgeNet comes in.

KnowledgeNet serves as your organization’s “relationship intelligence” layer. It analyzes communication data (emails, meetings, messages) to reveal who knows whom, and how strong those connections really are. Instead of guessing, you can instantly see that a colleague in engineering once worked closely with the CFO of a target account. That’s a warm path waiting to be used.

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Beyond Spell Check: How Grammarly’s AI Can Transform Sales Communication

by Sean O'Shaughnessey

Clear, professional communication is the foundation of sales success. Yet, in 2025, much of our selling occurs not face-to-face, but through written words, emails, proposals, CRM notes, and social media messages. This shift means your writing is no longer just a form of communication; it’s your personal brand, your first impression, and often the deciding factor in whether a conversation continues or comes to a halt.

Grammarly has evolved far beyond its original purpose as a grammar checker. Today, it’s an artificial intelligence–powered platform that helps sales teams increase efficiency, refine their messaging, and accelerate revenue growth. It works directly within the tools you already use, such as Gmail, LinkedIn, Salesforce, and HubSpot, helping sales professionals write with greater confidence and clarity.

Sales organizations using Grammarly have seen measurable improvements: Databricks saved $1.4 million annually; Smartsheet cut thousands of hours from proposal creation; and Zoom reported higher customer satisfaction thanks to improved written communication. These results aren’t luck; they’re the product of refined sales processes, consistent messaging, and clear communication supported by AI.

For individual salespeople, Grammarly helps improve value selling by ensuring that every message is professional, engaging, and on-brand. Its AI engine not only corrects errors but also suggests stronger phrasing, predicts reader reactions, and even aligns your tone with your business acumen and brand voice. For sales leaders, it standardizes team communication and reinforces a culture of professionalism across departments.

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Automating Sales Workflows: When to Use Automation Over Chat

by Sean O'Shaughnessey

In sales management, there’s often some confusion about when to use artificial intelligence chat interfaces versus automation workflows. Chat interfaces are ideal for creative problem-solving, learning, and strategic research, while automation excels in repetitive, high-volume, data-driven sales tasks. The trick is to recognize when consistency and scalability are more important than customization.

Automation delivers consistent execution, eliminates human error, and operates 24/7. Sales leaders can rely on it for triggered communications, data synchronization across systems, CRM updates, and compliance tasks that require accuracy and complete audit trails. By moving these routine tasks into automated workflows, sales teams free up valuable time for relationship building, revenue generation, and refining sales strategies.

Real-world examples highlight the impact: a team once spent three hours daily crafting manual follow-up emails. Shifting to automated sequences not only saved time but also improved messaging consistency and pipeline response rates. Similarly, another team utilized automation to synchronize sales data across six systems, thereby eliminating bottlenecks and enabling sellers to focus fully on sales.

Hybrid approaches really take things to the next level! By merging human creativity in chat interactions with the quick and precise power of automation, businesses can craft workflows that beautifully balance personalized service with the ability to grow. This type of teamwork enhances value-driven selling, sharpens business skills, and accelerates revenue management throughout the sales journey.

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Sales Management with AI: Chat Interfaces vs. Automation Workflows

by Sean O'Shaughnessey

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

by Sean O'Shaughnessey

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:

Prospecting,
Outreach,
Qualification,
Scoping,
Presentation,
Economic Buyer meetings,
Validation Events,
Proposals,
Closing,
Onboarding/expansion.

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Mastering Sales Channels: How to Align Your Strategy for Maximum Impact

by Sean O'Shaughnessey

Understanding the dynamics of sales channels can transform how businesses approach their markets. Many sales professionals, whether they are salespeople, managers, or CEOs, often miss a critical distinction: the difference between the product they are selling and the value it provides.

This gap in understanding can lead to suboptimal sales performance, particularly in environments where products are sold through intermediaries, such as distributors, referral partners, or dealer networks. The challenge is not just about knowing your product, but also about understanding how to position it in a way that resonates with every player in the sales chain.

Sales success starts with recognizing who your true customer is. In sales management or channel sales, the end customer is often not the person you interact with directly. Instead, your “customer” might be the intermediary, your distributor, reseller, or even your own sales team. These intermediaries are the ones who ultimately connect your product to its final user. If you don’t understand their challenges, motivations, and context, you risk failing to equip them with the necessary tools to succeed. Are you selling a product’s features, or are you helping them understand how to sell it effectively? This distinction is vital.

When selling through intermediaries, the emphasis should shift from “what the product does” to “how the product can be sold.” Your distributors or referral partners don’t need every technical detail of your product. They need clarity on how it solves problems for their customers, how it fits into their existing offerings, and how they can position it to drive sales.

The goal is not to overwhelm your partners with information but to provide actionable insights that align with their specific needs. If you’re focusing solely on product features, you’re likely missing the mark.

Salespeople and sales managers must also recognize the game they are playing. Are you selling a commodity, a widely available product, or an exclusive offering? Each scenario demands a different strategy.

Commodities often compete on price, necessitating bulk sales or value-added services to differentiate themselves. Widely available products often rely on relationships, service quality, or unique add-ons to differentiate themselves. Exclusive products, on the other hand, can often avoid price wars by emphasizing their uniqueness and superior quality. Knowing which game you’re in allows you to tailor your approach and avoid misaligned strategies.

For small businesses and solopreneurs, the challenge lies in effectively managing referral partners. Referral partnerships are a powerful way to generate leads, but they require careful management and oversight.

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AI Isn’t Replacing Salespeople, It’s Giving Them a Competitive Edge

by Sean O'Shaughnessey

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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Two Tall Guys Talking Sales – How Sales Leaders Use CRMs to Align Sales Processes, Value Selling, and Revenue Management – Episode 152

by Sean O'Shaughnessey

In this episode of Two Tall Guys Talking Sales, hosts Kevin Lawson and Sean O’Shaughnessey build on last week’s discussion of qualification methodologies and take the conversation further—into how these frameworks should live inside your CRM. From aligning sales processes with the buyer’s journey to enforcing accountability at each stage, this conversation offers practical strategies that every sales leader and salesperson can implement. Expect a deep dive into sales management, revenue generation, sales processes, and… Two Tall Guys Talking Sales – How Sales Leaders Use CRMs to Align Sales Processes, Value Selling, and Revenue Management – Episode 152

Turning Around Sales Performance: Strategies for CEOs and Sales Managers to Foster Internal Alignment

by Sean O'Shaughnessey

Navigating a sales turnaround isn’t just about fixing numbers; it’s about transforming the business. It’s about realigning expectations, rebuilding internal trust, and creating a structured, sustainable path forward.

If you’re a CEO, sales manager, or a key salesperson in your organization, the pressure to reverse a sales slump can feel overwhelming. However, the truth is that turnarounds aren’t made in a sprint; they’re built through clarity, consistency, and effective communication.

Too often, sales leaders make the mistake of focusing only on the downward trend. They get caught up in the urgency of the numbers and forget that the real challenge lies in managing upward, setting expectations with executive leadership, and aligning them with reality.

If your sales team is underperforming, your internal stakeholders are your new audience. Just as with external prospects, you need to manage their expectations with a clear, actionable plan.

The process starts with a shift in mindset.

Instead of viewing upper management as critics, think of them as clients. What do they need to believe in this turnaround? What information do they need to trust your leadership? Start by building a high-level outline. Avoid over-engineering the details in the early stages. Focus on where you want to go, then reverse-engineer the steps to get there.

Every turnaround starts from a rear position. That means your first job is to stop the downward momentum. Before you can scale revenue, you need to stabilize it. That requires a clear definition of success, agreed upon by everyone involved.