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buyer intent

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!

AI Prospecting Agents: Build More Pipeline Without Adding More SDRs

One of the more frustrating realities in modern sales is that a company can invest heavily in technology and still leave its best salespeople doing work that should never require their time.

The CRM is open. So is LinkedIn. There is an intent-data platform in another tab, a contact database in another, a sales engagement platform somewhere else, and perhaps a conversation intelligence tool running in the background.

The company has a technology stack. What it may not have is a prospecting system.

That distinction matters.

A collection of tools still depends on someone remembering which accounts matter, noticing when a former champion changes jobs, deciding which buying signals deserve attention, researching the account, moving information between systems, writing the message, and following up. When people are the integration layer connecting all those systems, the company has not really automated prospecting. It has simply given its salespeople more software to operate.

The Prospecting Advantage Has Changed

Traditional outbound sales was built around scarcity. Finding contact information, researching a company, and uncovering a credible reason to approach someone required significant effort. That made volume difficult and valuable.

Artificial intelligence changed those economics.

Today, generating another email is nearly free. Finding another prospect is relatively easy. AI can produce hundreds or thousands of messages faster than a sales team could ever review them. That does not make those messages valuable.

When volume becomes inexpensive, volume stops being a competitive advantage. Relevance becomes the scarce resource.

We need to evolve our systems away from asking, “How can we send more outreach?” Rather, we need to be thinking of, “How can we identify the people who deserve our attention right now and give our salespeople something useful to say when they contact them?”

A modern prospecting system therefore has to answer five questions continuously:

  1. Who should we pursue?
  2. Why should we pursue them now?
  3. What should we say?
  4. Which channel and timing gives us the best chance of engagement?
  5. When should a human salesperson enter the conversation?

The fifth question is particularly important.

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The Buyer’s Clock Starts Before Your Sales Team Notices

A buyer does not become urgent when your CRM creates a record. The buyer became urgent earlier; at that moment, they decided the problem was worth interrupting their day for.

That distinction matters because too many B2B companies design their inbound process around internal workflow rather than buyer momentum. A prospect searches, compares, reads, evaluates, talks to a peer, visits your site, reviews your proof, and finally raises their hand. Then the company they contacted responds as though the buyer has agreed to wait patiently while marketing automation, CRM routing, territory logic, rep availability, and inbox notifications sort themselves out.

That is not a speed problem. It is a revenue system problem.

The real issue is not whether a sales rep should call faster. Of course they should. The deeper question is whether the business can detect, interpret, prioritize, enrich, route, and respond to buyer intent while the buyer still cares. When the answer is no, the company loses revenue without realizing it. The lost buyer does not announce their departure. They simply book with someone else, cool off, or decide the issue can wait.

This is why inbound orchestration deserves executive attention. High-intent inbound activity is not a generic lead flow. A demo request from a target-fit company is not the same as a newsletter signup. A pricing inquiry is not the same as a content download. Treating all of them as “leads” may simplify reporting, but it destroys commercial judgment.

When every lead looks the same, nothing feels urgent.

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Instant Follow-Up in Field Sales: How AI Eliminates Post-Meeting Lag

Field sales doesn’t lose deals in the meeting. It loses deals after the meeting when a buyer asks a high-stakes question, you promise to “get back to them,” and the response shows up after the moment has passed. That delay kills momentum and quietly downgrades you from advisor to administrator.

In 2026, the buyer often has access to comparable information. Your differentiation is contextual insight delivered with speed. If your follow-up arrives hours later (or worse, it arrives days later), you’re not doing value selling, you’re doing cleanup. That’s the Administrative Tax: notes, recap emails, CRM updates, and retrieval work that should not be done manually by your highest-paid revenue generator.

Artificial intelligence changes the operating model. The goal isn’t “better summaries.” It’s an Instant Field Response: capture what matters in the room, retrieve the right internal assets, and draft a precise follow-up while you’re still in the parking lot. When AI handles the science (capture, entity recognition, semantic search, and drafting), you reclaim the art: listening, reading intent, and leading the decision.

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