So what exactly is the New Inbound?
How inbound started, why its mechanism stopped working, and what replaces it.
Inbound, as the idea of taking part in the buyer's education to create demand, still holds. What no longer holds is the old inbound's mechanism for doing it. New Inbound B2B is the logic that replaces that mechanism, with 5 stages that run as a continuous cycle instead of a linear funnel: Position, Ensure Impact, Detect Signals, Start Conversations and Optimize.
Two states, side by side.
- Funnel. A shape that narrows from top to bottom, in three bands: top, middle and bottom. One way in, one way out, one direction.
- Cycle. A ring of five segments turning continuously, with the ICP at the center. In order, the segments are Position, Ensure Impact, Detect Signals, Start Conversations and Optimize.
Introduction
I want to talk about something I've been hammering on for at least three years now, and that still leaves a lot of people confused: the New Inbound.
Before I start, let me be clear that the point here isn't to kill the funnel, isn't to go after anyone still running inbound the old way, and isn't meant to be a history lesson…
But I do have to go back in time a bit to explain how inbound started and why it stopped working the way it used to.
What I'm really after is giving you the autonomy to make your marketing produce more today.
That's it. The goal is for you to finish this and understand what's blocking your pipeline. And, from there, to have a way to unblock it.
Because in B2B marketing, strategic autonomy only exists when you understand where all of this came from, what changed, and why.
Without that, you're at the mercy of the next trend, the next guru, or the next "new formula" that shows up in your LinkedIn feed.
So let's get into it.
First, you have to understand the role of marketing
Before we talk about inbound, about HubSpot, about any of it, it's worth going back to the question that holds everything up.
What is the role of marketing?
And here's something worth sitting with for a second: the word "marketing" comes from "market."
Which means marketing is, literally, the discipline of thinking about the market. Of understanding the target market, of acting on the target market.
So, translated into your day to day, marketing's job is to make your company (or your project) penetrate its target market.
In B2B, that happens through acquiring new accounts. And, eventually, through expanding inside those accounts to pull out as much revenue as possible.
That's it. That's what marketing is for.
And let's be honest, that's what everyone wants. So that's the frame for this whole conversation…
How does marketing get a company into a target market?
With that question in mind, now it makes sense to go back and understand where inbound came into this story.
Where inbound came in (and how it actually started)
The story of inbound is more interesting than people think, and it's worth telling properly.
Back in the early 2000s, there were two guys at MIT: one named Brian Halligan and another named Dharmesh Shah.[1]
Brian came out of sales.
He was the pipeline, outreach and prospecting guy. He'd spent his whole career helping tech companies hit quota, and nobody understood the outbound game better than he did: cold calls, lists, dials, meetings booked.
But around that same time, he was noticing that cold prospecting was getting harder and harder to make work (seen this movie before?).
At the same time, at that same MIT, Dharmesh was running a startup blog called OnStartups.
And here's the thing: that blog had a huge audience, for free, without him chasing anyone.
People found him on their own, googling how to build a startup, and they'd read, comment and come back.
When Brian looked at that, he had the insight that became inbound.
Basically, he thought:
Here I am burning energy interrupting people who don't want to be interrupted, and Dharmesh has a huge audience showing up on its own because he publishes useful content.
People are teaching themselves about the very thing we're trying to sell.
Why not play that game instead of trying to interrupt?
And here's the part almost everyone forgets, and I need this one to stick.
The original premise of inbound was demand creation.
Let me take my time with this, because it matters.
What Brian and Dharmesh saw was that buyers were already educating themselves.
They were already going to Google to understand their problem. Demand was already being created in the market, through content.
Their insight wasn't "inventing" demand creation.
It was seeing that it was already happening and building an organized way to take part in it, using the digital tools that were showing up at the time (Google, blogs, forms, email, and so on).
So they looked at how people were educating themselves in 2006 and decided:
"Alright, let's optimize this."
That's how HubSpot was born. And inbound became, in practice, a method for industrializing market education.
So where does the lead come into this?
Pay attention here, because this is another piece the whole market twisted later on.
The form and the email weren't designed as a "machine for generating leads to hand off to sales as fast as possible"...
They were designed as a dedicated nurture channel that did two things at once.
- On the buyer's side, they got a direct line to the company to keep learning about their problem at their own pace, with relevant material landing in their inbox.
- On the marketer's side, they got measurement. You could see how many emails someone opened, which pages they visited, which links they clicked. That became lead scoring.
The lead was the means, not the end. The end was educating the buyer to the point where they were ready to talk to sales.
And it worked, didn't it?
That logic carried most of B2B marketing for the last 15 years, and HubSpot itself went from two guys at MIT to a publicly traded company.
But something happened along the way.
Over time, the market wore that logic down…
It kept putting more weight on the "generate the lead" half and less on the "educate the lead" half.
Targets got heavier on MQL volume, reports turned into MQL-only dashboards, sales started demanding "leads," and marketing answered by shipping filled-out forms as fast as it could.
Until we got to where we are today, where only the lead matters and nurture happens after the sales touch, as a generic automated flow that barely works.
What started as demand creation done well turned into a race for lead generation.
See the drift?
A timeline with four milestones. In the early 2000s search behavior shifts and Halligan and Shah spot it at MIT. In 2006 HubSpot is born, and Google, blogs, forms and email become a method for industrializing market education, with the lead working as the means and not the end. Over the next fifteen years the market wears the logic down, prioritizes generating leads and drops educating them, and targets become MQL volume. Now, New Inbound B2B updates the mechanism without abandoning the premise.
So why did inbound the old way stop working?
For a fairly simple reason.
Technology always moves forward, and people's behavior changes along with it.
Which means the way you do marketing and sales has to adapt to that new behavior too.
It's always worked that way.
In fact, that's exactly what Brian and Dharmesh did back then…
They looked at the state of technology at that moment and saw that it was opening up a new way to take part in the education the market was already doing on its own.
They didn't invent "educate to sell." They adapted "educate to sell" to the technology and the behavior of that moment.
Now pay attention, because this is where it all connects.
Right now we're living through another leap in technology and behavior.
A new moment, and this new moment is shaking the foundations all over again.
Let me explain...
The premise of inbound, as we just saw, is demand creation through education, right?
Buyers educate themselves, and the company takes part in that education by publishing useful content where they study, opening a channel to keep things going (email, in the original model) and tracking engagement to figure out when they're ready to buy.
And let's be clear: that premise still holds.
It always has, actually. Content marketing is far older than any of this — it goes back to the 19th century.
Education isn't going anywhere. Just the opposite: B2B buyers have to educate themselves more and more, because technology keeps advancing...
And with it, problems and their solutions evolve too, which makes the wrong decision more expensive, more complex and more crowded with people every year.
So, if you work in B2B marketing, your main objective is market penetration through education (demand creation).
What changes, and changes A LOT, is how that education happens.
And seen that way, the entire old inbound education logic from HubSpot (Google + blog + email + form + lead scoring) has lost its grip…
Not because the idea was wrong, but because the channels where buyers educate themselves today are different ones.
And that produced 3 truths you, as a marketer, can't ignore.
1. The first truth is that the journey isn't linear, especially in B2B.
At the center, an account with a buying committee of six to eight people, the number cited by Gartner. Around it, six participants, each entering the journey through a different channel: a LinkedIn post, a podcast, a WhatsApp group, a recommendation from a respected peer, a private community and an internal presentation. The entries happen in parallel and at different times.
Old inbound assumed a more or less predictable path…
Someone searches on Google, lands on your blog, educates themselves, fills out the form, enters the nurture flow, matures and talks to sales once the score hits the threshold.
A straight line, one person at a time.
Except B2B buying was never a straight line, and today even less so.
In B2B, especially in complex sales where you work at the account level, there can be 6 to 8 people involved in the process (Gartner's number), each entering the journey at a different time and through a different channel.[2]
In practice, one person comes in through a LinkedIn post, another through a podcast, another because they heard your company's name in a WhatsApp group, and another because a peer they respect mentioned you.
So there's no longer ONE entry point to capture and nurture. There are several, all happening in parallel, at different moments in each committee member's journey.
And the linear mechanism simply can't represent that.
2. The second truth is that education has decentralized.
A two-column comparison. In old inbound, buyer education happened on Google, on the company blog, in the form and in the nurture email, all measurable end to end in a single channel. Today it happens on LinkedIn, in podcasts, in private communities, in WhatsApp groups, in LinkedIn newsletters and in conversations with peers. That second set is invisible, distributed and impossible to capture in a form, and it's what the market calls dark social.
This one, the way I read it, is the most structural change of them all.
The B2B buyer no longer depends on Google. Like it or not, Google was where education lived in old inbound. It isn't anymore.
As I said above, today B2B buyers educate themselves on LinkedIn, in podcasts, in private communities, in WhatsApp groups, in LinkedIn newsletters (hi there), in conversations with peers, and so on.
What's more, the data says roughly two thirds of that education happens before they ever talk to a salesperson.[4]
That's dark social in practice. Invisible, distributed and impossible to measure or capture in a form.
And here's a practical consequence a lot of people still haven't swallowed: your content increasingly needs to be ungated (open, no friction).
Exactly like this page you're reading, because the goal today is to be found, consumed and shared in those spaces.
3. The third truth is that content has become a commodity.
When old inbound started working, content was a differentiator.
Early on, few B2B companies had a blog, few invested in SEO and few had a dedicated team.
Then the model caught on and the market noticed. Every company started cranking out content on an assembly line.
Entire businesses were built to scale it.
Anyone remember Rock Content here in Brazil? A huge company whose core business was exactly that: delivering content volume to feed the inbound machine.
And Rock wasn't the exception. There were dozens of operations running on the same logic.
Little by little, that turned the game into a commodity…
Stop and think about how many generic, repetitive, opinion-free articles written purely to rank on Google you've read in the last 10 years. Probably hundreds.
And now, with generative AI, it's the final blow.
Anyone can crank out 50 articles a day, Google is drowning in soulless text, and the whole "Google search > click > website" logic is being cannibalized by answers that come straight out of an LLM chat.
So there it is. Put those 3 truths together and you land on the conclusion that inbound, as the idea of taking part in the buyer's education to create demand, still holds…
But the old inbound's MECHANISM for doing it does not!
So if you want to keep penetrating the market (which, remember, is the objective. Market penetration = selling more = new accounts = a bigger base = revenue), you need to understand that the way you run inbound has changed.
So what do you do? This is where the New Inbound comes in
B2B Insiders has been hammering on this for about 2 or 3 years now.
If you've been following us, you know we were the first to talk about this in Brazil, even before the articles from abroad about the death of the MQL and so on.
We were also the first to talk about the "death of the funnel" and about the need for a new inbound.
Back then, to give you an idea, AI wasn't even a thing yet, but we could already see the old inbound starting to wear thin.
So much so that today it's the conversation in the feed of 8 out of 10 B2B marketing heads.
And over those years, we didn't just break the funnel. We also started building something that actually fits how people learn and buy today.
We call it the New Inbound, of course, and we're already running it and creating value for clients and students. Let me walk you through the logic of it below.
The logic of the New Inbound has 5 stages that run as a continuous cycle, not a linear funnel.
They are: Position, Ensure Impact, Detect Signals, Start Conversations, and Optimize.
A two-column comparison. On the left, the linear funnel of the old inbound, with the top, middle, and bottom bands: straight line, one at a time, dependent on Google. On the right, the continuous cycle of New Inbound B2B: five stages around the ICP, which are Position, Ensure Impact, Detect Signals, Start Conversations, and Optimize, with multiple channels in parallel, signal in three layers, and conversation with context.
The 5 stages of New Inbound B2B
A ring divided into five equal segments, with a rotation arrow on the outside showing continuous movement. The segments, in order, are Position, Ensure Impact, Detect Signals, Start Conversations, and Optimize. At the center of the ring it reads Market penetration, which is the goal of marketing according to the method.
As you read through the five stages, the matching segment is highlighted. The highlight is a reading aid and isn't needed to understand the diagram.
Position
One of the things that bothered me most about the old inbound is that you worked for a funnel, not for your target market.
The result is that a whole generation of professionals was trained inside a martech nurture track and today can't think about positioning for real.
That's why, before anything else, you need to know who you're talking to, what their market maturity is, and what your differentiators are at the solution level.
And there's a method for this. Positioning is market maturity + differentiators (I have content about this on my feed).
Let me put it plainly.
Market maturity is about how your ICP already solves your problem. And it happens at three levels.
At the lowest level, they're still becoming aware of the problem.
In other words, they feel a pain, but they don't quite have a name for it yet, they don't know there's an entire category of solution for it, they haven't connected the pain to the consequence in their business.
Want an example? Me, right here, teaching you that you have a problem with the old inbound.
At the category level, they already understand the problem and they're evaluating the category of solution.
Here I like to stress something important: the category is the way to solve the problem. If the market doesn't yet see your category as the obvious way to solve the problem, then yes, you have to educate at the category level.
Example: me showing you there's a new way to solve the problem of the old inbound. And it's called the New Inbound (at the category level).
At the product level, your audience already knows they have the problem and everyone already understands that your category is the obvious way to solve it.
In that case, what you have to work on is why you, as a company, are the best option inside that category.
Example: let's say everyone already understands that the New Inbound is real. My job here would be to teach why B2B Insiders' way of working is the best one. But my ICP (hi there) isn't at the product level yet, the market is at the problem > category level. See what I mean?
So knowing which of those three levels your target market is at changes EVERYTHING.
It changes the message, it changes the content, it changes the channel, it changes the pace, and it can even change the offer (the 4 Ps, right?).
Now, the differentiators.
A differentiator is what your solution does that your competitor's doesn't.
But careful, it's not just any difference, it has to be a difference that directly affects how the ICP's problem gets solved.
Because the market is full of companies listing "differentiators" that only matter to themselves.
And on differentiators, the ideal is always to pick 1 or 2 at most, out of 5 fronts:
- Cost
- Product
- Delivery
- Niche
- Authority
When you put the two together (your market's maturity + which real differentiators separate you from the competition), you have strong positioning.
And positioning is marketing's job.
All right, now let's go to the second point, which is ensuring impact.
Ensure Impact
Here's the thing: good positioning only exists if the market sees you, right?
So the second step is making sure your message, your content, and your brand consistently reach the eyes and ears of the ICP.
And I'm not talking about "posting three times a week on LinkedIn" here.
I'm talking about understanding your ICP's behavior and choosing the best tactics...
About understanding the behavior pattern and taking up space in your buyer's dark social: in their feed, in the podcast they listen to, in the community they're part of, and at the event they're going to attend.
This is where demand creation really happens (awareness, consideration, and trust). And this is where the foundation for everything that comes after gets built.
Detect Signals
This is where the New Inbound really breaks from the old inbound.
In the old model, the main signal marketing could read was "filled out a form and opened an email." And that made sense, because back then that was the digital behavior technology could read at scale.
Today, a signal is a lot more than that, because people learn in a lot more places.
A signal is liking a post, commenting, sharing, visiting your site (via website visitor tracking), engaging with a thought leader on your team, joining a community you monitor, answering a poll, attending a webinar, and so on.
And detecting those signals at scale, in an organized way, is what separates the people playing the new game from the people still waiting for a lead to fill out a form so they can "know they exist."
Start Conversations
Now, with a signal detected, you start a conversation.
And starting conversations isn't only outbound, it's inbound too.
An inbound lead, for example, is a high-intent signal that starts a conversation.
But signals also exist, obviously, to start conversations with context through outbound.
This is exactly the part that connects demand creation (which happened in step 2, ensuring impact) with demand capture (which happens now).
In the 2006 model, that bridge was built by one mechanism only: the lead nurtured by email until it "ripened." Today, since learning no longer happens mainly over email, the bridge has to be built on the real signals the ICP leaves along the way.
Optimize
Finally, the cycle closes by learning.
Which signals turned into conversations? Which conversations turned into pipeline? Which content drove the most engagement from the right ICP? Which positioning thesis actually resonated?
You're not going to get it right the first time, and you shouldn't. Want to know why?
Because the strategy is about your audience. And without the data it generates, there's no way to know what works and what doesn't.
In other words, optimizing isn't a box to check, it's a fundamental part of the process.
That's why we call it a continuous cycle and not a funnel.
Because there's no beginning and no end, there's a gear turning. And every turn teaches you something about how to turn better on the next one.
"Okay, David, but what about metrics? How do I measure any of this?"
I'll admit it: in the three years we've been hammering on the funnel and the dependence on MQLs, the question we hear most is about measurement.
And I get it, I really do. If there's one thing old inbound does well, it's handing you that (false) sense of control.
But the truth is that CTR, CPC, landing page conversion rate, leads and CPL don't cut it on their own anymore.
They were designed for a linear funnel world and for reading signal from a single channel. Here we're reading signals from all sorts of different places at the same time.
And here's a point I want to make VERY clear before I get into the practical part.
Your metrics are a consequence of the tactics you choose to run back in step 2 (Ensure Impact).
Every tactic comes with its own set of metrics you're able to read, and that's exactly why you can't look at "metrics" without looking at "tactics" alongside them.
A podcast has different metrics than a thought leader post on LinkedIn, which has different metrics than a lead magnet, which has different metrics than a booked demo.
What helps organize all of this is splitting metrics into three levels. And I make that split based on a simple question: what do I know about whoever generated this signal?
Let me walk you through each one.
Invisible metrics
Invisible metrics are the ones where you can measure the signal, but you don't know who the person is or what company they represent.
Examples: podcast plays, YouTube views, LinkedIn post impressions, paid media campaign impressions, and so on.
You know the thing happened, and you know how much of it happened. But you don't know a single name.
And here's a point a lot of people underestimate: most of the education a B2B buyer goes through happens precisely in tactics that only produce invisible metrics.
A podcast, a YouTube video, a post in the LinkedIn feed, someone reading a newsletter on LinkedIn (hi there, whoever you are on the other side). In practice, the invisible is where demand creation happens.
Visible metrics
Visible metrics are the ones where you know who the person or the company is, even though they never actively handed you the data.
Examples: a like on a LinkedIn post, a comment (on LinkedIn, on YouTube, on the blog), a share, company-level visitor tracking on your site, a reaction on a thought leader post from someone on your team, and so on.
In other words, the person didn't necessarily fill out a form, didn't give you an email, didn't raise their hand, but their behavior told you their name.
And pay close attention to this one: a visible metric on LinkedIn especially is an extremely strong signal...
Because it comes with context: identity, job title, company, industry. That's a whole different level of read compared to "a podcast play from someone I can't identify."
Intent metrics
New Inbound B2B metrics are organized into three layers side by side, with no hierarchy between them, defined by how much you know about whoever generated the signal.
- Invisible: podcast plays, YouTube views, post impressions and paid media impressions. You measure the signal and you don't know a single name.
- Visible: likes, comments, shares, company visitor tracking and reactions on thought leader posts. The person never filled out a form, but their behavior told you their name.
- Intent: split into low intent, when someone hands over their contact info in exchange for something, and high intent, when they want to talk to you.
Most of the education a B2B buyer goes through happens in tactics that only produce invisible metrics.
Intent metrics are the ones where the person, on their own, handed you their contact info.
And inside this one, there are two sublayers.
Low intent: the person gave you their contact info in exchange for something, but not necessarily to talk to you.
They downloaded an exclusive resource, commented on a lead magnet to get a piece of content, registered for a webinar, subscribed to your newsletter.
It's intent, but the real willingness to buy is still low.
High intent: now the person actually wants to talk to you.
A demo request, a request to talk to sales, a sales inquiry form. This is the closest thing to an MQL, but with one important difference: here the person asked for it, marketing didn't "graduate" them with a score.
The classic mistake
And here's a classic mistake I want to spare you:
There's no such thing as "intent metrics are better than invisible metrics."
It isn't true. They measure different things, at different moments in the process, in different tactics.
A podcast tactic, for example, will produce almost 100% invisible metrics.
And that doesn't mean the tactic isn't working. It actually means it's doing its job (educating, creating demand in the invisible) and that the intent signal will show up LATER, in a different tactic (probably in the visible layer or in the contact form).
That's why the rule is: you have to look at the three layers of metrics side by side with the tactics you're running. Always.
And to make it even more concrete, look at this example in real time:
On the version of this newsletter I published on LinkedIn, I can measure a few invisible things:
- How many people it reached,
- How many views it got
- How many saves it got (something I watch pretty closely, by the way). I don't know who saved it, but I know it got saved.
Now, if you like or comment over there (go on, leave a comment), from that moment on the metric becomes visible, because now I know exactly who you are, what company you work at, what your job title is, and so on.
And if at some point after that you click one of the invitations at the end and sign up (yes, there are invitations at the end of this piece), then you've handed me an intent metric (low intent, in this particular case, because it's still education).
One single signal, three different layers, depending on the interaction you choose to have with me.
From there, the natural next step for anyone who wants to actually run this is to cross the three layers.
It's looking at invisible, visible and intent metrics together and starting to read market penetration as a system.
Because that's where you start building your leading indicators of market penetration.
But leading indicators versus lagging indicators, my friend, is a subject for another piece. Otherwise we'll never finish this one today.
The learning feeds back into positioning and the cycle starts over
A five-step flow connecting the stages of the cycle to the metric layers. Position defines who you talk to. Ensure Impact produces invisible metrics. Detect Signals turns part of that into visible metrics. Start Conversations is where intent shows up. Optimize reads the three layers together and feeds the learning back into positioning. Metrics are a consequence of the tactics chosen in Ensure Impact.
To finish...
Everything I've explained here (where inbound came from, the wrong turn the market took along the way, the three paradigm shifts, the 5 stages of the cycle and the logic of the three metric layers) is B2B Insiders' proprietary methodology.
It's what we call New Inbound B2B.
And it's what we've been applying with the clients running our Demand Generation operation.
And listen, if this piece left you with more questions than answers, that's a good thing.
It means you're starting to see the real size of the game.
But before you go off agreeing or disagreeing (and you're allowed to disagree, that's part of it), I want to invite you to two things.
The first is to get to know B2B Insiders, which is where we apply this method every day, with clients running a real Demand Generation operation.
The second is the B2B Demand Generation Program, which is where I teach New Inbound step by step. In there I show you not just the "what" but the "how"...
How to position, how to build presence without depending on Google, how to detect signals at scale, how to start conversations without sounding like cold outbound, and how to build the dashboard of invisible, visible and intent metrics that guides your team day to day.
If you want the autonomy to decide your next marketing move without being held hostage by the next trend, and if you want your marketing to start producing real results again, that's where I'd start.
Until next time,
David Costa Lima
Frequently asked questions
New Inbound B2B is B2B Insiders' proprietary methodology. Its logic has 5 stages that run as a continuous cycle, not a linear funnel:
- Position
- Ensure Impact
- Detect Signals
- Start Conversations
- Optimize
It keeps inbound's original premise, demand creation through education, and swaps out the mechanism, because the channels where buyers educate themselves today are different ones.
No. Inbound as an idea, taking part in the buyer's education to create demand, still holds.
What doesn't hold is the old inbound mechanism for doing it. Google, blogs, email, forms and lead scoring lost traction, not because the idea was wrong, but because the channels where buyers educate themselves today are different ones.
The word marketing comes from market. Marketing is, literally, the discipline of thinking about the market.
In day-to-day terms, marketing's job is to get your company into its target market. In B2B that happens through acquiring new accounts and, eventually, through expansion inside those accounts.
Because of three truths that changed the game.
- The journey isn't linear.
- Buyer education decentralized, moving off Google and onto LinkedIn, podcasts, communities and WhatsApp groups.
- Content became a commodity, and generative AI sped that up.
In complex sales, where you work at the account level, 6 to 8 people can be involved in the process, according to Gartner.
Each one enters the journey at a different moment and through a different channel. There's no single entry point left to capture and nurture.
It's where B2B buyer education happens today and the company can't see any of it: LinkedIn, podcasts, private communities, WhatsApp groups, newsletters and conversations with peers.
Invisible, distributed and impossible to measure or capture behind a form. That's why content increasingly has to be ungated, meaning open and frictionless.
It's about how your ICP already solves the problem you solve, and it works on three levels.
- Problem: they feel the pain but don't have a name for it.
- Category: they understand the problem and are weighing ways to solve it.
- Product: they know they have the problem and understand the category, so the contest is between vendors.
Knowing which level your target market is at changes the message, the content, the channel, the pace, and it can even change the offer.
They're the three metric layers of New Inbound B2B, separated by one simple question: what do I know about whoever generated this signal?
- Invisible: you measure the signal but you don't know who the person is, like a podcast play or a post impression.
- Visible: the behavior gives you their name, like a like or a comment.
- Intent: they hand you their contact information on their own.
What died was the race for MQL volume, which pushed marketing to prioritize generating leads and give up on educating them.
The high-intent metric, a demo request or a sales inquiry, is the closest thing to an MQL, with one important difference: here the person asked, marketing didn't graduate them with a score.
Demand creation happens in Ensure Impact, when you take up space in the buyer's dark social and build awareness, consideration and trust.
Demand capture happens in Start Conversations. The bridge between the two, which in 2006 was a lead nurtured by email until it ripened, now has to be built on the real signals your ICP leaves along the way.
It's the strategy created in 2006 by Brian Halligan and Dharmesh Shah, the founders of HubSpot, to attract buyers with useful content instead of interrupting them with ads. The premise is to take part in educating the people who have the problem, so you're remembered when the moment to buy arrives.
That premise still holds. What aged badly was the mechanism of Google, blogs, forms and email, because B2B buyers started educating themselves on other channels. That update is what this page describes.
In HubSpot's classic model, the four stages are:
- Attract visitors with content.
- Convert the visitor into a lead through a form.
- Close the sale with nurturing.
- Delight the customer so they refer you.
That model assumes the journey is linear and the form is the front door. In complex B2B sales both premises stopped holding, and that's why the New Inbound B2B cycle works with five different stages: Position, Ensure Impact, Detect Signals, Start Conversations and Optimize.
The classic funnel splits the journey into top, middle and bottom.
- Top: the person finds out they have a problem.
- Middle: they weigh the ways to solve it.
- Bottom: they decide who to solve it with.
The split still helps organize content, but as a picture of B2B buying it has aged, because the people on the committee enter the journey at different moments and through different channels and nobody walks straight down. That's why New Inbound B2B works as a continuous cycle instead of a funnel.
In the most common model:
- Prospecting
- Qualification
- Proposal
- Closing
Some people compress it into 3 phases, merging qualification and proposal into an evaluation stage, and others stretch it to 5 or 7, but the logic is always the same: the deal moves through stages until it closes.
As a pipeline management tool, the sales funnel is still useful. What changed is what goes into it: instead of an MQL graduated by a score, a conversation started with context, built on a real signal from your ICP.
It's the marketing of a company that sells to other companies. The difference from B2C isn't cosmetic, because in B2B the decision is collective, the cycle is longer and the deal size is bigger, and that changes channel, message and metric.
And B2B isn't one single block. The bigger the deal size and the more complex the sale, the less the purchase looks like a click and the more it looks like a project. New Inbound B2B was designed for that complex sales scenario.
B2B stands for business to business, the transaction where both the buyer and the seller are companies. In procurement, the term separates corporate purchasing, which involves requirements, budget and sign-off from more than one department, from consumer buying.
That approval structure is what makes the sale complex, because every department involved has a different pain and a different veto power, and it's exactly what the linear funnel can't describe.
Gartner maps six jobs the buyer has to complete:
- Identify the problem
- Explore solutions
- Build requirements
- Select the supplier
- Validate the choice
- Create internal consensus
The part that changes the game is that these jobs don't happen in sequence. The committee revisits each one several times, on channels the company can't see, and that's why a complex sales cycle takes months and the rep shows up late in the story.
Demand generation is the discipline that works demand end to end, in four moves that run in parallel:
- Create demand by educating the people who aren't buying yet.
- Capture the ones who've started actively looking.
- Convert demand into revenue.
- Expand inside the accounts that became customers.
The difference from lead generation is scope. Generating leads is a capture tactic, while generating demand includes educating the vast majority of the market that isn't in buying mode yet, and that's the part where most B2B operations fall short.
It's the willingness of companies to invest in a solution to a business problem. The most useful yardstick for reading that demand is the 95/5 rule, from the Ehrenberg-Bass Institute: at any given moment, roughly 5% of the market is actively buying, and the other 95% will only enter buying mode in the future.[3]
Companies that fight over the 5% alone compete on price against every competitor at once. Companies that educate the 95% show up at the future purchase as the option considered first.
MQL stands for Marketing Qualified Lead, the lead marketing has qualified. In practice, it's the person who hit a behavior score threshold in lead scoring and got passed to the sales team.
The problem isn't the acronym, it's what it turned into: a volume target. When the target becomes MQL volume, marketing trades educating the market for harvesting forms, and that's exactly the race that wore out old inbound.
An MQL is a lead marketing qualified with a behavior score. An SQL is a Sales Qualified Lead, a lead the sales team reviewed and accepted as a real pipeline opportunity.
The handoff from MQL to SQL is where the classic model leaks the most, because a good share of MQLs never become SQLs: the person downloaded something out of curiosity, the score went up, and buying intent was never there. A visible signal from someone who fits your ICP says more than a score.
They're different dimensions. ICP is fit: the account has the characteristics that make it prone to the problem you solve, and that doesn't change with engagement. MQL is signal: a behavior score that tries to estimate interest.
An account can fit your ICP and never have engaged, because the moment to buy hasn't come yet, and a lead can engage a lot without fitting your ICP. The job of demand generation is to create signals inside the ICP, without confusing the two.
The most common classification splits them into cold, warm and hot leads, by how much interest they've shown. Another usual one is MQL, SQL and PQL, by who owns the qualification: marketing, sales or the product itself.
In New Inbound B2B, the division that guides the operation is a different one, the three metric layers. What matters isn't the lead's label, it's what you know about whoever generated the signal: nothing at the invisible layer, name and company at the visible one, a request for contact at the intent one.
Glossary
- Market penetration
- Getting the company into its target market and growing there. In B2B, that happens by acquiring new accounts and expanding inside them. It's the role of marketing.
- Demand creation
- Taking part in educating the buyer so they recognize the problem and consider the category. It's the original premise of inbound, and it happens in the Ensure Impact stage.
- Demand capture
- Turning anyone who has already shown a signal into a conversation. It happens in the Start Conversations stage, through inbound or through outbound with context.
- Market maturity
- How your ICP already solves the problem, at three levels: problem, category, and product. Together with your differentiators, it forms your positioning.
- Differentiators
- What your solution does that a competitor's doesn't, and that directly affects how the ICP's problem gets solved. Pick one or two out of cost, product, delivery, niche, and authority.
- Invisible metric
- You can measure the signal, but you don't know who the person is or what company they work for. Podcast plays, YouTube views, impressions. This is where demand creation actually happens.
- Visible metric
- You know who the person or the company is even though they never handed over the data. Likes, comments, shares, visitor tracking.
- Intent metric
- The person handed over their contact information on their own. Low intent when they did it in exchange for something, high intent when they want to talk to you.
- MQL
- A marketing qualified lead, graduated by score. It became the unit of delivery when the market traded educating the lead for generating the lead.
- Lead scoring
- A score for digital behavior, created in the original inbound to estimate when a buyer was ready to talk to sales.
- Ungated
- Open content, no form and no friction. Necessary when the goal is to be found, consumed, and shared in dark social.
- ICP
- The customer profile the company has chosen to compete for. It's the starting point for defining market maturity, message, channel, and tactic.
- Thought leader
- Someone on the team who publishes under their own name and whose audience generates visible signal, with a name, a job title, a company, and an industry attached.
- Sales funnel
- The linear diagram that organizes selling into stages, from prospecting to close. It's still useful for managing pipeline; as a picture of the buying journey in complex sales, it no longer describes reality.
- SQL
- Sales Qualified Lead. The lead that the sales team has reviewed and accepted as a real pipeline opportunity. In the classic model, it comes after the MQL.
- MQL vs SQL
- The MQL is graduated by marketing, on a behavior score. The SQL is accepted by sales, after they weigh fit and timing. The handoff from one to the other is where the classic model loses the most deals.
- Demand generation
- The whole discipline: creating, capturing, converting, and expanding demand, in parallel motions. It isn't a synonym for generating leads, which is only the capture part.
- In-market
- The slice of the market that's actively buying right now, the roughly 5% in the 95/5 rule. Everything else is a future buyer, and that's the territory of demand creation.