Skip to content

performance tracking

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!

Choosing the Right AI Stack for Your Sales Organization

A VP of Sales recently confided in me: “We have six different AI tools, but our reps are still doing manual work. What went wrong?”

This is the AI tool proliferation problem. Sales leaders often collect tools without a strategy, mistaking a pile of features for a cohesive system. It’s like buying a hammer, screwdriver, saw, and drill without realizing you’re actually trying to build a house. An effective AI stack means integration. When tools work together, they amplify each other’s value. When they don’t, they add complexity, confusion, and wasted money.

Why Strategy Beats Random Adoption

Random tool adoption is rampant across sales organizations. Teams chase shiny new software, often ending up with overlapping features, siloed data, and productivity lost to tool-switching. Instead of solving problems, the stack itself becomes the problem.

But when built strategically, the benefits are profound. Integrated systems reduce manual data entry, accelerate response times, and deliver actionable insights for reps. Three well-chosen, well-connected tools can outperform six isolated ones. Integrated stacks also improve adoption rates by providing consistent interfaces and reducing training overhead.

The Five-Layer AI Stack Framework

To avoid the chaos of random adoption, I use a five-layer framework for structuring sales AI tools:

  1. Data Foundation – Your CRM and data management system, enriched and maintained for accuracy.
  2. Intelligence & Analytics – AI-driven insights, lead scoring, forecasting, and market intelligence.
  3. Automation & Workflow – Sequences, task automation, and cross-platform orchestration.
  4. Content & Communication – AI writing, proposal generation, and customer-facing tools.
  5. Optimization & Learning – Conversation analysis, performance tracking, and continuous improvement.
Read the rest of the article…

Transforming Quota-Setting: Strategies for Sales Leaders to Optimize Performance and Revenue

Quota-setting is one of the most misunderstood elements of sales leadership. Too often, it’s treated as a spreadsheet exercise or a top-down directive, rather than a strategic lever that drives behavior, performance, and growth.

Whether you’re leading a team of 20 or you’re the founder managing three reps, how you define quotas has a direct impact on your revenue trajectory and your team’s motivation.

So, where do you start?

With timing. If you’re not delivering quotas to your team until February or March, you’re already behind. Salespeople need clarity by December. That gives them runway to plan, prioritize, and hit the ground running in January. Delayed quotas create confusion and stall momentum. To achieve a strong Q1, you need to equip your team early.

Quota-setting varies depending on the size of your company. Larger teams offer more flexibility. With 10 or more reps, you can spread risk, balance performance, and model averages. You’ll have top performers who consistently overdeliver, alongside newer reps who are still ramping up. The law of averages works in your favor. You can afford some variance. Smaller teams don’t have that luxury.

When you’re running a small team, maybe two or three reps or founder-led sales, every individual matters. One person missing quota can tank your number.

You can’t rely on averages. You need precision.

That means tying quotas to actual relationships, known opportunities, and real probability. It’s not about slicing up a target evenly. It’s about assigning numbers based on what’s realistically achievable in each territory or account list.

Territory design plays a big role here. Whether it’s geographic, vertical, or named accounts, quota must reflect the market potential. You can’t expect equal performance from unequal opportunity. If Rep A has 500 viable accounts and Rep B has 50, their quotas shouldn’t look the same unless you have data that says Rep B’s accounts are closer to your Ideal Client Profile. Use available market data to inform the number. Don’t assign quotas in a vacuum. 

In larger organizations, quotas often originate from the top down, typically from finance. The CEO and CFO commit a growth number to the board, investors, or in public filings to the SEC. They have no choice but to pass it down. It’s not uncommon for the sales team to receive the number without context. That’s a problem. If you’re in a leadership role, you need to pressure test that number. Can your team realistically hit it? If not, what additional resources are required?

  • More headcount?
  • Better enablement?
  • Marketing support?

In large organizations where the quota is driven by investor expectations, the VP of Sales must establish an organization well before the new year that achieves this year’s goal, while also meeting the expectation of growth for the next year. Planning ahead, sometimes years in advance, is part of the job.

Read the rest of the article…