Every sales and marketing leader should be asking: What kind of selling relationship do we have — and does it prioritize humans or machines?
This question goes beyond which CRM you use, which cadence tool you’ve deployed, or which AI platform you’re evaluating. It’s about how your organization connects with buyers. The answer determines whether you win or lose the deals that matter most.
The SEO toolkit you know, plus the AI visibility data you need.
4 selling relationships that define B2B sales
Three of the four selling relationships that define B2B commerce are scaling quickly. Only one of them is slowly disappearing. But it happens to be the only one that reliably closes complex deals.
1. Machine-to-machine selling
A machine-to-machine selling relationship requires no human involvement on either side. It doesn’t build trust, and it requires no human judgment.
Instead, algorithms buy from algorithms. Automated procurement systems evaluate, select, and transact with automated selling systems.
This relationship is efficient, scalable, and completely devoid of the connection that built commerce in the first place. For renewals, replenishment, and transactional purchases, it works. But it falls short for anything complex that requires a buyer to take a real risk with their organization’s budget or their own reputation.
2. Machine-to-human selling
Most B2B buyers encounter a machine-to-human relationship before they ever speak to a sales representative. This approach involves automated email sequences and personalized ads served by an algorithm that knows buyers’ job titles and browsing history. It also incorporates chatbots that answer buyers’ initial questions and nurture campaigns that follow them through a predesigned customer journey.
By the time a human seller enters the conversation, the buyer has already formed an impression. It’s shaped entirely by machines that know what the buyer does but nothing about who they are. The data doesn’t capture their personality, motivations, fears, or personal risk.
3. Human-to-machine selling
Most sales reps rely on human-to-machine relationships. The rep is technically in the process, but they sell into a machine rather than to a person. This approach involves tactics like:
- Entering data into a CRM.
- Working system-generated call queues.
- Following algorithm-determined priorities.
- Submitting proposals through procurement portals.
- Responding to automated requests for proposal (RFP) systems.
Process has replaced the rep’s judgment, intuition, and ability to read a room. As a result, reps execute a workflow rather than build a relationship. The machine on the other end doesn’t trust, feel, or stake its reputation on anything.
4. Human-to-human selling
Human-to-human relationships built every great sales organization in history. They rely on building trust, reading personalities, and deciding whether the person across the table is worth staking their reputation on.
It’s the sales relationship where a rep works to be chosen. This happens because the buyer believes in the person behind the promise, not because the rep’s product scores highest in the evaluation matrix.
Reps squeeze human-to-human sales into whatever time they have left after the other three relationship types have consumed their day. For many reps, that isn’t much.
Why human-to-human sales are declining
We gradually gave up on human-to-human sales as performance metrics declined and the industry kept reaching for the same answer — more automation, more volume, more technology. When email open rates fell, we sent more emails. When win rates dropped, we added another tool to the stack.
What we never stopped to ask was whether the real problem was our understanding of the human side of the equation. We’d built systems that failed to detect everything that makes a human buyer tick:
Neither the hidden motivations, nor the personality driving the decision, nor the personal risk attached to every significant purchase appears in a lead score or an engagement metric. Because we couldn’t measure those factors, we stopped looking for them.
Buyers are more emotionally driven than any of our systems acknowledge. The factors that determine whether a deal closes are human. They always have been.
Being human is B2B sales’ last competitive advantage
AI will accelerate this shift. The first three relationship types will scale in ways we can’t yet fully predict. But across thousands of buyers and hundreds of real deals, it’s clear that the human-to-human relationship is still the one that closes.
The sellers who win in the age of AI won’t be the ones who automate the most. They’ll be the ones who are most human. Being human is the most competitive advantage left in modern B2B selling.
The question is whether your team is investing in it.
This post was adapted from the upcoming book, “The Hidden Buyer Journey.”
The post AI can scale B2B sales, but only people can build trust appeared first on MarTech.