Austin Lawrence Group | SaaS Marketing Success Blog

Lead Generation Is Not a Dirty Word

Written by Kenneth Lempit | Aug 21, 2026, 8:08:06 PM

Somewhere along the way, B2B marketing got embarrassed by the word “lead.”

We rebranded ourselves as “demand gen,” “growth marketing,” “revenue marketing,” and “pipeline architects.” We invented new metrics—MQLs, MQAs, influence, intent scores—anything to avoid a fundamental truth:

Sales still gets promoted or fired based on whether they get enough good leads and close enough of them.

In boardrooms and offsites, we talk about journeys, funnels, and full-funnel orchestration. On our websites, we talk about “accelerating transformation,” “unlocking value,” and “orchestrating experiences.” But when a CRO or Head of Sales is out having a drink with a peer, the complaint is still depressingly simple:

“Marketing doesn’t get me any leads.”

Not “we’re not fully aligned on lifecycle stages.” Not “our attribution model needs refinement.” Just: no leads.

That disconnect has real consequences. It has thousands of marketers working harder and producing more “activity,” while sales leaders are left to conclude that marketing can talk about theory but can’t do anything in practice. It’s how you end up with stories like the head of sales at a SaaS firm who almost proudly confided in me that his CEO fired his entire marketing team—not because they weren’t busy, but because they weren’t generating leads he could work.

This article is a rallying cry to fix that.

It’s an argument that lead generation is not a dirty word. Done right, it’s the highest expression of what B2B marketing is supposed to do.

And to reclaim it, we must do three things:

  1. Embrace sales support as an aspiration, not a demotion.
  2. Redefine what a “lead” is in a world of committee-driven enterprise buying.
  3. Use AI and semi-public “alpha signals” to find the right organizations at the right moments—before everyone else does.

Marketing’s real mandate: sales support, twice over

I feel the need to be blunt: without sales, there is no company. Without revenue, nobody gets paid. That’s the operating reality of every SaaS and B2B business.

In my view of the world, marketing has two jobs:

  1. Drive revenue now.
    Put sales in front of people and organizations that have a real chance of buying in a reasonable timeframe.
  2. Make revenue easier later.
    Build a reputation, a point of view, and an experience of the brand that makes it easier for the next prospect to say yes faster and at a better price.

Both of those are, fundamentally, sales support.

Somewhere along the line, “sales support” became something marketers ran away from—as if being directly accountable to sales outcomes made us order-takers instead of strategists. So, we retreated into abstractions: influence, touchpoints, journeys, awareness, engagement.

There’s nothing wrong with any of those concepts. The problem comes when they become substitutes for the one thing our colleagues in sales need: a reliable supply of people to talk with in organizations that might really buy.

Reframing lead generation as beneath us doesn’t protect marketing’s strategic value; it erodes it. The most strategic thing we can do for a VC- or PE-backed software company in 2026 is to help it create the kind of growth story that gets noticed—by investors, by acquirers, and by the market.

That story starts with leads.

Redefining a modern lead: from lone contact to organization in motion

If we accept that enterprise sales are committee-driven, then our old definition of a lead collapses almost immediately.

A single person filling out a form isn’t a lead.
A single contact hitting a score threshold isn’t a lead.
Even if that person is a senior exec in the right industry, it isn’t a lead.

Those are clues. At best, they’re suspects.

A modern lead—the kind sales actually wants—looks very different. It’s not a static record; it’s a pattern of behavior inside an account, often represented by alpha signals, that suggests a buying group is starting to explore change.

Think of it like this:

A lead is a right-fit organization that’s giving off the right semi-public signals and showing early buying-committee behavior around the problem you solve.

That definition has three crucial components: the right account, the right signals, and the right people in motion.

1. The right account: fit is the floor, not the finish line

Most marketing teams today are reasonably good at fit:

  • We know our ICP by firmographics and technographics.
  • We can point to the right industries, headcount bands, revenue ranges, and tech stacks.
  • We maintain target account lists and enrich them until the CRM groans.

All of that is necessary. None of it is sufficient.

Fit alone tells you who could buy. It doesn’t tell you who is starting to move.

Treating a single contact who meets the ICP and did one or a few interesting things on our website as a lead is how we flood sales with names they can’t monetize—and why they eventually stop trusting whatever we pass them. In a committee-driven sale, fit is the entry ticket: if an organization doesn’t look like your best customers, they’re not a lead. But if they do, all you’ve done is earn the right to ask a harder question:

“Is anything happening in this organization that suggests they might be ready to act?”

That’s where signals come in.

2. The right signals: from public noise to semi-public “alpha” triggers

Not all signals are created equal.

The industry has spent the last few years chasing obvious, fully public signals and syndicated “intent”:

  • Press releases
  • Funding announcements
  • Syndicated intent data from Bombora, 6sense, and others

Those matter—but they’re widely visible. Every rep, at every competitor, can react to them. They’re table stakes, not advantage.

The real opportunity lies in what we can call semi-public, “alpha” signals:

  • They’re observable, but not blasted to everyone in a feed or a dashboard.
  • They’re harder to monitor at scale without AI.
  • Over time, they can be correlated with deals that actually close.
  • They’re frequent enough to drive meaningful lead volume.

For example, depending on your market, alpha signals might include:

  • A pattern of repeated job postings for the same operational role that usually precedes your solution.
  • A public filing that reveals a shift in strategy or risk that your product addresses.
  • A wave of training tax credit approvals for IT, frontline or factory workers that often precedes a systems upgrade or transformation.
  • The soft launch of a new product line or region that historically forces companies to rethink a process you’re great at fixing.

None of these scream, “We’re buying right now.” But they whisper, “Something is changing over here.”

This is where a modern lead definition starts:

  1. Your ICP says, “This organization looks like our best customers.”
  2. Alpha signals say, “And they may be entering a zone of pain or change where we’re relevant.”

That’s enough to instigate activity—from marketing and sales.

  • Marketing can start building context and coverage: enriching the account, mapping likely buying-committee members, and putting the right thought leadership in front of them.
  • Sales can prioritize research and outreach where ACVs justify a more manual, high-touch approach.

The point isn’t that one signal equals a lead. The point is that a small number of well-chosen alpha signals can tell you where to invest human attention first.

3. The right people in motion: watching the buying committee wake up

Signals alone aren’t enough. Enterprise buying is still done by committees, not individuals. That means the transition from ICP-fit account to true lead happens when those alpha signals begin to coincide with real human engagement across a buying group.

In most complex deals, you’re dealing with some mix of:

  • Economic buyers – the person who controls budget or P&L.
  • Technical approvers – the people who ensure a solution “works” with existing systems and standards.
  • Operational champions – the people who feel the problem daily and will live with the solution.
  • Influencers and blockers – peers and skeptics who can quietly slow or kill momentum.

A modern lead emerges when:

  1. An ICP-fit organization gives off one or more alpha signals (e.g., multiple role postings, new plant opening, risk disclosure, new leadership, etc.), and
  2. You start to see coordinated behavior from multiple people in that organization in response to your outreach and content.

That behavior might look like:

  • Several people from the same domain visiting pages that frame the problem you solve.
  • A manager from Operations registering for a webinar while an IT director from the same company downloads your integration guide.
  • A newly hired VP engaging on LinkedIn with your point of view, while two mid-level operators start consuming “how to” content.

None of those alone is “the lead.” But together, they form the pattern we care about:

“This ICP-fit company just gave off a couple of alpha signals, and now we can see a small buying committee starting to wake up.”

At that point, the account has earned a promotion:

  • From suspect (looks right)
  • To lead (looks right, giving off alpha signals, and showing early buying-group engagement)

How marketing and sales respond depends on your economics:

  • Smaller ICP / high ACVs:
    You can justify manual, coordinated plays. Marketing and sales sit down together and plan a bespoke sequence: who to approach first, what context to use, what content to put in front of whom, and when to ask for a conversation.
  • Larger ICP / mid-market ACVs:
    Marketing may start with Agentic Outbound programs: building out contacts, running targeted thought-leadership campaigns, and only surfacing the account to sales once a certain threshold of buying-group engagement is met.

In both cases, the trigger is the same: alpha signals + early committee behavior.

Suspects vs. leads vs. opportunities: a cleaner vocabulary

To make this operational, we need sharper internal language:

  • Suspects
    • Accounts that fit your ICP on paper, or individuals with the right titles—but with no meaningful alpha signals or coordinated engagement yet.
    • Great for long-term nurturing and brand work. Dangerous to hand off as “leads.”
  • Leads (modern definition)
    • ICP-fit organizations emitting semi-public / alpha signals that correlate with buying, and
    • Early, multi-person engagement from a likely buying group in response to your coordinated efforts.
    • Enough evidence that a thoughtful outreach from sales would be relevant, timely, and welcome, not random.
  • Opportunities
    • Leads that have crossed the line from “in motion” to “in conversation.”
    • A live exploration of a project, with some clarity about problem, priority, and path to decision.

When marketers start holding themselves to this standard—only calling something a “lead” when an ICP-fit organization is giving off the right signals and a real committee is stirring—we stop playing word games and start rebuilding trust.

We’re no longer saying, “We generated 500 MQLs last quarter.” We’re saying:

“We identified 42 organizations that look like our best customers, gave off alpha signals we know correlate with deals, and showed real buying-group engagement with our POV. Sales is in active conversation with 17 of them.”

That’s a different level of accountability. And it’s the bridge between “marketing as activity center” and marketing as proud, indispensable sales support.

Turning alpha signals into action: how AI and agents operationalize modern lead gen

Defining a modern lead is one thing. Finding them, at scale, is another.

If your definition of a lead is “an ICP-fit organization giving off alpha signals and showing early buying-committee behavior,” you very quickly run into a practical problem:

  • Those signals are semi-public – they live in filings, job boards, GitHub, niche sites, social activity, and scattered digital breadcrumbs.
  • They’re hard to monitor continuously without burying a team of analysts in spreadsheets.
  • They only make sense when you connect them to content consumption, a committee of contacts, and coordinated outreach.

This is where AI—and specifically agentic software—stops being a buzzword and becomes the engine of modern lead generation.

In our world, that looks like a set of specialized AI agents that work together to do, at scale, what only your best marketer–BDR duo could do by hand on a tiny subset of accounts.

Step 1: Agents scan for alpha signals across your ICP

The first job is simple to describe and brutal to do manually: watch the world of your ICP for alpha signals. We use agents to identify likely buying triggers based on your own sales and customer support data (call recordings, emails, slacks, etc.), and then deploy AI agents to (as examples):

  • Monitor public filings and announcements for patterns that historically precede your kind of deal.
  • Scrape and analyze repeated job postings and hiring patterns that hint at upcoming projects.
  • Track training programs, certifications, or grant approvals that often precede a system upgrade or transformation.
  • Watch for quiet but meaningful shifts in product lines, partnerships, or geographic expansion.

On their own, a single signal may be interesting but not decisive. The agents’ real value is in correlating these signals over time with your own closed-won deals:

  • Which combinations of filings, hiring, and activity showed up most often before customers bought?
  • How far in advance did those signals appear?
  • Which signals turned out to be noise?

Over time, the system learns which patterns are your true alpha signals—the ones that separate accounts that just look like your ICP from accounts that are likely to move.

The output of this layer is a ranked list of organizations:

“Here are the ICP-fit companies that are giving off the same semi-public signals we see most often in deals that close.”

That’s the raw material for modern lead gen.

Step 2: Agents build the context – content, landing pages, and contacts

Once an organization pops to the surface with promising alpha signals, the next question is: What do we say, and to whom?

Historically, this is where everything stalled. A marketer might notice a signal, but:

  • There’s no time to build custom content or landing pages.
  • The database doesn’t have the right contacts or buying-group map.
  • Sales is already overwhelmed, so nobody owns the follow-through.

Agentic software changes that by handling the first 80% of the work automatically:

  1. Contextual content and landing pages
    • Agents take the specific alpha signals for that organization—say, a series of job postings, a new plant, and a regulatory filing—and generate problem-centric messaging and pages that speak directly to that context.
    • Instead of sending prospects to a generic “Resources” page, you can point them to a signal-aware experience: content that implicitly says, “We understand what’s going on in your world right now.”
  2. Contact discovery and enrichment
    • Agents identify and enrich likely members of the buying committee: economic buyers, technical approvers, operational champions, and influencers.
    • They add these contacts into your database with structured context: who they are likely to be in the eventual decision, what they care about, which content is most relevant to them.

By the time a human ever touches the account, you’re not looking at a logo and a hunch—you’re looking at a mapped organization, with tailored content and a first-pass buying-group hypothesis.

Step 3: Agents instigate outreach – email sequences and LinkedIn content

With signals identified and context built, the last piece is instigating real-world engagement.

Here, agents orchestrate the first wave of touches, always with human control over what’s sent and where the bar is for sales involvement:

  • Email outreach
    • Agents draft personalized email sequences aligned to the specific alpha signals and the likely role of each contact.
    • For some segments, those sequences can be launched automatically once they clear predefined quality checks.
    • For higher-value segments, marketing and sales can review, tweak, and approve before anything goes out.
  • LinkedIn posts and social presence
    • Agents create LinkedIn posts and social content that address the same context and problems surfaced by the alpha signals.
    • These posts are designed for humans—your sales team, your execs, your subject-matter experts (or your agency)—to publish manually, adding authenticity and relationship value the AI can’t fake.
  • Social and Programmatic Advertising
    • Suspected committee contacts in the new lead’s organization are added to audiences for LinkedIn and Meta advertising
    • Depending on your tech stack, programmatic ad creative is tailored to the recipient
    • Over time, this creates the effect of a coordinated surround-sound campaign around target organizations: they see relevant ideas in their feeds at the same time as targeted emails arrive in their inboxes.

This is how an ICP-fit organization with a few promising signals becomes a living, breathing lead:

  1. Agents spot the alpha signals that historically correlate with deals.
  2. Agents build the context: content, landing experience, likely buying group.
  3. Agents instigate intelligent outreach, social presence and advertising.
  4. Humans—marketing and sales—step in where it matters most: judgment, relationship, and conversation.

Why this matters in a “Hunger Games” exit market

All of this could be dismissed as “nice to have” if the current environment for PE-owned SaaS and AI firms was forgiving. But it’s not.

We’re in a market where:

  • There are too many portfolio companies and not enough attractive exits.
  • New funding rounds are harder to raise, on tougher terms.
  • Only the clearest, most defensible growth stories will get through the investment committee or the M&A filter.

In that context, you don’t win by reacting to the same mass-market signals as everyone else. By the time a funding press release hits, or Bombora lights up a topic, the line is already too long.

You win by:

  • Seeing alpha signals first.
  • Mobilizing coordinated sales and marketing motion while competitors are still asleep.
  • Turning more of those early-stage organizational motions into real, named opportunities.

That’s what agentic software, tuned to your ICP and your deal history, actually does: it gives marketing a credible way to say, “We are generating leads that sales can close,” and backs it up with a system that’s faster, sharper, and more scalable than anything a purely manual team can sustain.

In other words, it lets marketing live up to its highest aspiration: indispensable sales support, not in theory but in pipeline.

A rallying cry: reclaim lead generation, or get left behind

If you strip away the jargon and the dashboards, the situation is simple.

We’re operating in a Hunger Games economy for PE-backed software companies. Capital is scarce. Exits are scarce. Attention is scarce. Investors and acquirers are brutal about where they place their bets (and which firms they leave for dead).

In that environment, B2B marketing leaders have a choice.

We can keep hiding behind euphemisms—calling everything “demand,” “influence,” and “engagement”—leaving sales leaders to conclude that we don’t deliver anything they can close.

Or we can reclaim the word lead and raise our standard for what it means.

We can say, out loud:

  • Marketing’s highest mission is sales support—driving revenue now and making revenue easier later.
  • A “lead” is not a list, a title, or a click. It’s an organization in motion: ICP-fit, giving off alpha signals, with a real buying committee stirring.
  • Our job is to build the systems—data, content, agents, and plays—that turn more of those organizations into opportunities and wins.

You don’t need an identical stack of agentic software to start moving in this direction. You can begin tomorrow by:

  1. Renaming the game.
    • Stop reporting MQLs as if they’re outcomes.
    • Align with sales on a shared, modern definition of a lead: ICP-fit org + alpha signals + early buying-group engagement.
  2. Cataloging your own alpha signals.
    • Look back at closed-won deals.
    • Ask: What almost always changed in these organizations 3–12 months before they bought?
    • Make that list explicit. Start tracking whatever you can manually while you build automation and AI around it.
  3. Linking signals to coordinated action.
    • For the top tier of accounts, design manual plays: Who reaches out? With what context? What content do we show first?
    • For the long tail, standardize how marketing begins coverage—contact discovery, thought leadership, targeted campaigns—before promoting an account as a lead.
  4. Measuring what actually matters.
    • Move your internal scoreboard away from “campaign performance” toward:
      • Number of organizations moving from suspect → lead → opportunity.
      • Conversion rates at each stage.
    • Make it normal for marketing to present pipeline and revenue impact as primary metrics.

The tools will keep evolving. AI will get better. Agentic workflows will get more powerful. But the core posture won’t change:

Marketing exists to help the business win more deals with the right customers, at the right time, on the right terms.

That starts with leads.

Not the dirty word we’ve been avoiding—but the modern, committee-aware, signal-driven, high-intent leads that sales can actually close.

It’s time to stop apologizing for that and start building for it.