On the latest episode of The Agents, we brought on Sam Blond, founder and CEO of Monaco, the AI-native revenue platform, and one of the agents we actually run in production. Sam has run outbound at Brex, Zenefits, and EchoSign, spent time as a partner at Founders Fund, and is now building one of the more talked-about go-to-market startups in the market. So when the conversation turned to whether outbound still works, all three of us were speaking from the same place: it does. It just looks nothing like it did in 2021 or 2018.
“Outbound is dead” is one of the most repeated and least accurate lines in B2B from the past year or two. The old spray-and-pray outbound cadences may well be dead. But using AI to create highly targeted outreach, of very high quality, at the right time? That’s what SaaStr’s doing, and what’s working today.
Below is what actually changed, why it still works, and the three things that determine whether it works for you.
The 3 Takeaways
- Outbound isn’t dead. The lazy version is. Buy-a-list-and-blast is over. Structured, multi-channel, agent-run outbound with a human on the highest-value touches still works, and it works now.
- Three factors decide whether it reproduces for you: brand, message market fit, and doing the work. You need less brand than you think, message market fit is the lever you actually control, and the willingness to build it is the rarest of the three.
- Revenue per rep is heading from 2x to 5x. Roughly 2x pre-AI today, plausibly 5x within two years. Agents cover breadth. Humans cover the relationships and creative campaigns that actually close.
The “Outbound Is Dead” Meme Is Wrong, and We Had a Live Example That Proved It
Start with the proof, because we had one during the taping.
A founder wrote a LinkedIn post critiquing our new AI VP of Finance. He laid out where he thought it would fall short: complicated products, variable pricing, edge cases. Some of it was fair. Some of it was wrong. Good analysis either way. Then he closed the post with a line: “Jason, when you’re ready, hit me up.”
That is a failing grade on outbound, and it is worth being precise about why. We are openly in market. We have budget. We have said publicly, more than once, that we would drop our own finance agent tomorrow for something materially better. The buyer could not be warmer or more explicit. And the strongest call to action this founder could produce was a passive line at the bottom of a post, aimed at someone he already knew was ready to move. He did not reach out. He did not book time. He waited for the prospect to come to him.
If outbound were dead, that passivity would be the smart play. It is not. Outbound works, which is exactly why sitting back and hoping is the wrong move. An agent would have done better than he did, and that is the uncomfortable part. He had every signal he needed and left it on the table.
What Outbound in 2026 Actually Looks Like
The version of outbound that died is the lazy one: buy a list, blast a generic sequence, measure by volume. What replaced it is more structured and more multi-channel, and Monaco is a useful window into the mechanics because they are opinionated about it.
When Monaco onboards a customer, they hand over a document they call the Monaco Method, and they are strict about two things.
The first is sequence structure. It is multi-channel and ordered deliberately. A connection request goes first. When that request is accepted, the next touch is a message paired with an email. The channels and the order are chosen to maximize reply rates, not to maximize how many messages go out. That is the inversion. Old outbound optimized for volume. New outbound optimizes for the sequence that actually gets a response.
The second is message structure: how to build a message that works, whether it goes over email or LinkedIn. This is the part that can be systematized, and agents are good at it.
Underneath the outreach, the platform builds your TAM, finds the companies that fit, and runs agents that reach the right people to generate meetings. On the demand gen side, that is mostly outbound. Monaco also manages pipeline and opportunities all the way through close, replacing legacy CRM, but the engine that fills the top is agentic outbound.
One boundary matters more than any other. Monaco can be opinionated about sequence and message structure. It cannot manufacture your value proposition. You have to educate the AI on what your business does and why it matters, because you understand your business far better than any tool does on day one. The outcomes you drive are the outcomes you drive. AI structures the outreach around your value. It does not invent the value.
Brand Matters Less Than You Think, and More Companies Have One Than Admit It
The number-one objection we get at SaaStr is that our results do not transfer, because we have a brand. It is the most common pushback, and it is half right.
The brand is real. An agent reaching out as Digital Jason, Digital Amelia, or, at Monaco, Digital Sam, converts at a higher rate than an unknown name at an unknown company. Familiarity moves reply rates. That part is real.
But most companies underrate their own brand badly. Monaco itself has a micro-brand with its target buyer, San Francisco founders, despite not having been in market a year ago. Between the events, the billboards, the airplanes, and the coverage, a San Francisco founder has likely heard of Monaco. That is not Salesforce-level recognition. Archer Daniels Midland has never heard of Monaco. But within its ICP, it has enough of a name that a cold email is not truly cold.
That is the bar, and it is far lower than “be famous.” You do not need mass-market brand. You need enough recognition inside your specific ICP that your name in an inbox is not a full cold start. Most companies have more of that than they give themselves credit for, and the ones that do not can build it faster than they think.
Message Market Fit Is the Real Variable, and It’s the One You Control
Brand gets the attention, but message market fit is the variable that actually determines whether outbound works, and it is the one a founder can move fastest.
Consider the test Sam laid out. Reach out to a marketing leader who sells into technology companies and tell them you have the largest audience of AI executives of any conference in the world. It would be irrational for that person not to reply. That reply rate has almost nothing to do with how famous you are. It has everything to do with whether the message lands on a real, felt need. If someone told that marketing leader they could no longer sponsor or present at the event, they would be furious. That is message market fit. The offer maps to something the buyer already wants badly.
The failure mode is the mirror image. A startup with a solution in search of a problem gets ignored no matter how polished the sequence is, because there is no need for the message to hit. The outreach can be perfectly structured and still land on nothing.
This is why message market fit is often a precursor to product market fit. If your message consistently lands, you are usually close to something real. If it consistently bounces, no amount of AI-generated personalization saves it. And this is the honest limit of what a platform can do for you. Monaco can structure the sequence and the message. It cannot give you message market fit. That comes from having something the market actually wants.
Why It Worked on Day One: Ask for the Dream Customer
One concrete story shows how much of this is about focus, not magic.
We were one of Monaco’s first ten users, back when the product was raw. On day one, it booked us a meeting with Anthropic. The mechanism behind that is a single question in Monaco’s onboarding: if you could have a meeting with any company in the world, who would it be? We said Anthropic. Amelia knew people at other AI labs but not there, so it was the perfect target. Monaco pointed its best effort at that one account first, and it landed.
That is a smart onboarding move, and it is also a lesson about outbound generally. Concentrated effort on the right named account beats spray-and-pray every time. The AI made it faster, but the discipline of picking the target and going deep is the human part.
The Number That Reframes the Whole Debate: Revenue Per Rep From 2x to 5x
Strip away the philosophy and the economics are simple. Revenue per rep today is roughly 2x what it was pre-AI. Within two years, it is plausibly 5x. Sam and I arrived at those numbers independently, which is usually a sign they are close to right.
What you do with that gain is a choice, not a mandate. You can run half the sales team for the same revenue. Or you can keep more reps and generate far more per head, if you have the demand to feed them. When reps spend their day customer-facing and closing instead of on mechanical busywork, a larger team can make sense again. The efficiency is the input. The org design is up to you.
For a reference point on where this goes: Owner.com already does around $2M per rep in SMB. That number was not on the table in the old model. It is now.
Support and Coding Got Here First. Sales Is Next.
The clearest way to see where go-to-market is heading is to look at the functions that got there before it.
Support was automated first. Whichever vendor you talk to, somewhere between 50% and 80% of support is now handled by AI, and it is frequently better than a mediocre human was. It used to be terrible. Now it is good. Coding followed a similar curve.
Sales is next, and it will follow the same path. It does not mean humans stop selling. It means humans stop spending their days on the activities that a large share of teams still treat as the core of the job: list building, first-touch sequencing, data entry, follow-up logistics. Those move to agents. The human moves up.
AI Doesn’t Replace Human Outbound. It Frees You Up for the Outbound Only a Human Can Do.
This is the part the “leverage” framing gets slightly wrong. The story is usually that agents free up your time so you can do higher-value work. True, but incomplete. The more accurate version is that agents absorb the outbound a human should never have been doing, so the human can do the outbound only a human can.
Amelia is the example. She uses every outbound platform we run, Monaco, Agentforce, Artisan, and still does high-value outbound herself on top of all of it. Post-Annual she has been running renewal sequences across every platform, partly to test reply rates head to head. The agents can go deeper than she can by hand, reaching everyone who attended from a given account. But she still personally emails her top two contacts at each account. When she wants to reach Salesforce, the agents can touch the whole team, and she still emails Adam and Justin herself, by hand, because those relationships are worth a human.
That is the shape of modern outbound. Agents handle breadth and the check-the-box work. Humans handle the highest-value relationships and the creative campaigns an agent would never think of. The result is not less outbound. It is more outbound, and more revenue, because the human’s time goes to the touches that actually move the deal.
What Actually Reproduces: Brand, Message Market Fit, and the Willingness to Do the Work
Put the three factors together, because that is the real answer to “does this only work for you.”
Brand helps, but you need far less of it than you think, and you probably already have more than you admit. Message market fit is the variable that decides it, and it is the one you control. And then there is the third factor, which is the least discussed and maybe the most important: you have to actually do the work.
Sam’s read is that most startups today, especially the technical ones, are fully capable of deploying go-to-market agents. Very few of them actually do it. In mid-2026 that willingness is still a rare and valuable skill. It is entirely acquirable. Most teams simply have not put in the reps yet. The gap between reading about agentic outbound and running it is smaller than it looks, and it is almost entirely a function of whether you are willing to sit down and build it.
The honest summary: outbound is not dead. The lazy version is dead. The structured, multi-channel, agent-run, human-topped version works, and it works for far more companies than the “you only win because you’re SaaStr” crowd believes. You need a little brand, real message market fit, and the willingness to do the work. Most companies have the first, can build the second, and are only missing the third.
The Top Mistakes Founders Still Make on Outbound
- Waiting for warm buyers to come to you. A founder critiqued our finance agent on LinkedIn and signed off with “hit me up when you’re ready,” aimed at an in-market buyer with budget. That passive move only makes sense if outbound is dead. It isn’t.
- Optimizing for volume instead of reply rate. Blasting a generic sequence at a big list is the exact version of outbound that died. Structure the touches multi-channel and measure by responses, not sends.
- Assuming you have no brand. Most companies badly underrate their recognition inside their own ICP and treat every email as a full cold start. You almost certainly have more of a micro-brand than you give yourself credit for.
- Expecting AI to manufacture message market fit. A platform can structure your sequence and your message. It cannot invent a value prop the market wants. If the message keeps bouncing, the problem is upstream of the tool.
- Reading about agentic outbound and never deploying it. The most common and most expensive mistake. The gap between knowing this works and running it is small, and it is almost entirely a willingness-to-build problem.
