As a CRM object, it goes back to the first sales force automation systems. Salesforce made it the default: a separate record, then a “Convert” button. Most CRMs still copy that model today. The idea had real appeal: wrap any business’ first engagement into one simple object, and call it a lead.

Simple, yes. But that simplicity delegated the whole complexity of what the engagement actually is. What kind of engagement? When? What triggered it, and who gets the credit? Converted into what, another lead? Where does a late-stage lead end and an early-stage opportunity begin?

Nobody answered those questions the same way. A whole industry of services grew in that gap, spending time and money to produce mostly activity. In B2B tech at least, the loss has been huge.

We had an excuse

We did not have a better way.

First came automation. Then scale, with distributed SaaS architecture. Then a lot of data, sometimes insights, sometimes even knowledge. But no intelligence.

So put yourself in the shoes of a revenue leader. Very high expectations to build revenue, and so many people to impress: the board, the ELT, peers, sellers, clients, prospects, partners. You need an object that looks like performance, but is not as accountability-prone as an opportunity.

The lead was the best solution. And a whole industry got to work delivering on it.

In hindsight, it was not a bad approach. It helped a lot of people get some deals, and a lot of others get paid for a service, agencies and marketers especially.

Two parents, no child

But no one ever agreed on what a lead was. So MQL and SQL started popping up.

Sales and marketing began debating the lead’s value like two parents discussing the future of their child. Without the child, here the actual person, even being aware of their status.

Both the marketer and the seller want revenue. Only the seller is compensated on it. So the definitions are biased, and the object becomes a source of friction, then distraction, and eventually mostly waste.

Blind silos

Today a CEO can clearly define the level of engagement below which they simply don’t care. Most leads sit way below that level. They keep driving an insane amount of waste, and the old sales and marketing friction has morphed into cynicism, or no collaboration at all. Blind silos.

The lead remains an empty shell. Marketing fills it with whatever level of engagement it considers good enough, then goes down the rabbit hole of attribution, so that accountability remains dignified.

Nobody wins

The person on the other end, considered a prospective buyer (wrongfully, most of the time), got very little value from that level of engagement. A call they didn’t ask for, about a project they may not have.

The seller gets nothing to work with. A name, an activity history, no intent. More calls, more sequences, more time spent on the wrong people.

The marketer spent time, effort and budget to produce it, and will spend more defending it.

Three people. Nobody wins.

Intent, then focus

Define your intent through precise targeting: who you want to win, why now, and who decides. Then measure only its application, and nothing less.

That is how the commercial engine meets the new standards of the era of intelligence, artificial or not.

Efficiency. Lean. Focus.

The model I use instead fits in four words: Target, Offer, Engagement, Measure. I lay it out in this article.

Curious where your own commercial engine stands? I run a free diagnosis on demand, built on public data only. Send me a message. The full diagnosis, with your data, is where we start working together.

How much do you trust your marketing engine to create the right level of engagement with the right targets?

How many of your first meetings turn into real opportunities?

How much time can your revenue team spend fixing it without hurting this quarter?

Some commercial engines are broken. Some are lagging behind their market. Some need a full transformation on a short timeline, and still have to hold for years after.

That is what I fix. For B2B tech companies selling to the enterprise, with a premium, not an exclusive, on financial services and analytics, the markets I have sold into for most of my career. Fast, because the market won’t wait. Built to last, because next year matters as much as this quarter.

The fix always starts with the same four words. Target, Offer, Engagement, Measure.

None of them is new. Every company has an ICP slide, a pitch deck, a campaign calendar and a dashboard. The problem is they live in different teams, different tools, different quarters, and nobody connects them. The CRM won’t do it for you. Its model (account, contact, lead, opportunity) records what happened. It never tells you what to do next.

The model is built on 105 consecutive quarters selling across the globe. To tech buyers and to business lines. Always complex solutions, always against large competitors.

One real case runs through all four, anonymized, from a free diagnosis built on public data only: a data integration software company moving from selling a tool to data engineers, to selling an AI product to heads of data.

Target

The problem: sellers spend their time on accounts and people who will never buy. The ICP was written for investors, the client base drifted, and nobody checked who really signs.

What we fix: where your true differentiation meets real demand, so sellers spend their time where it pays.

Example: the product site speaks to heads of data. The homepage still speaks to engineers. Sellers end up in meetings with the wrong person. The number to watch: the share of first meetings held with a head of data.

Offer

The problem: most companies go to market with explanations and prices, not offers. Nothing gives the buyer a no-brainer trigger to decide. And the website says one thing, the deck another, the seller a third.

What we fix: a real offer, built for the buyer’s decision: low risk, low effort, high and immediate value. Told the same way everywhere, with proof up front, so first deals close faster.

Example: the best proof, a large client that retired its legacy tool entirely, sits deep in a case study page, and the two websites don’t even agree on the customer count. The number to watch: the share of first meetings where a quantified client story is on the table.

Engagement

The problem: events, content and social get qualified prospects to commit far too little: a like, a download, a badge scan. And buyers get too little value from them to want to engage further.

What we fix: your unique value, promoted clearly to the right buyers on the right channels, with conversion as the sole focus: a meeting, a workshop, a trial. Activity doesn’t count.

Example: the company offers a free trial, a great first yes. It is only worth something if it converts. The number to watch: trial to paid, and how fast.

Measure

The problem: buyers can’t see the value they will get, and nobody agrees up front on what success is, or why this is the most affordable way to reach it. So decisions stall, and the company can’t tell which effort pays.

What we fix: client and vendor agree on what success is, as a number both can track, and on how it gets funded, so it returns more for the money than any alternative.

Example: usage is billed by consumption, so the value clients get is already visible. The number to watch: how much consumption grows in a client’s first 90 days.

By design

Put the four together and you get what the lead never gave us: a commercial engine you can steer. Sellers on the accounts and buyers that matter. Marketers on campaigns that feed them. Every team on the same intent.

Offers and messages go stale faster than ever. The companies that win will be the ones that pivot fastest on targeting, offer and engagement, and prove it in the numbers.

Commercial success, by design.

Curious where your own engine stands? I run a free diagnosis on demand, built on public data only. Send me a message. The full diagnosis, with your data, is where we start working together.