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The most expensive thing a revenue team can do is scale something it never actually proved. I have watched it happen, and I have done it. You get one motion to work in one quarter and decide it will repeat. So you hire against it and pour money on it. Then it does not repeat, and nobody can say exactly why, because nobody ever proved what made it work in the first place. Mark Roberge built a career on the opposite rule. As HubSpot's founding revenue leader he took the business from zero to a hundred million dollars and grew the team from one person to 450, then wrote the method down in The Sales Acceleration Formula and put money behind it at Stage 2 Capital, a fund backed by more than a thousand go-to-market executives. His idea, the Science of Scaling, is almost boring, which is exactly why it works. You do not scale until you have proven who your customer is, with numbers. Define the ideal customer precisely. Score real accounts against that profile. Prove a repeatable motion works inside one narrow segment before you add a single rep. Then, and only then, you scale what you proved rather than what you hoped. In an era where anyone can reach any market for free, that discipline is worth more now than it has ever been. The cost of scaling the wrong customer used to be capped by how many reps you could afford to hire. Today nothing caps it but your own rule. So before you scale your next play: can you actually prove who it is for, or are you about to bet the year on one good quarter?

Before I ask a sales team to work harder, I want to know which accounts will get the extra time. If the answer is simply whoever replies, we've let the inbox decide where the effort goes. A prospect with a weak fit can absorb hours while an existing customer with a real reason to buy more waits for someone to notice. That choice has a cost. In Benchmarkit 2025 B2B SaaS report, the median acquisition cost was $2 for every $1 of annual recurring revenue from new customers, compared with $1 for every $1 from expansion. Those are benchmarks across companies, so they won't tell you which account deserves a call tomorrow. They do give you a reason to question whether every account deserves the same amount of selling time. I wouldn't read that as permission to stop finding new customers. You still need to grow the customer base. But I'd want the team to distinguish an existing customer with a clear additional need from one we're approaching simply because they're familiar. I'd apply the same discipline to prospects: a reply is useful, but it doesn't establish fit or a reason to buy. For the next pipeline review, I'd ask each rep to bring the accounts they plan to spend the most time on and explain what makes each worth that investment. Then we'd compare those choices with what similar accounts have actually taken to win, how often they close, and the revenue they bring. That would give us a basis for changing the order of work before adding more activity to the week. If your reps had one extra hour tomorrow, which accounts would get it, and what evidence would justify that choice?

Your revenue can grow while your customer base shrinks. That's easy to miss when a few existing customers are signing bigger contracts. The revenue number looks healthy, so there's little reason to question the plan. But if fewer companies are buying from you, next quarter depends on getting even more from the customers who remain. That dependence is what I would want to understand before approving another growth target. It's also why a 2025 study by Steven Dunn and colleagues caught my attention. Published in the Journal of Business Research, it examined 13 years of US household buying data across 474 consumer-goods categories. More buyers and higher prices per unit were the primary drivers of category revenue growth, while losing buyers was the leading cause of decline across categories of every size. I wouldn't use consumer buying data to decide how much a B2B team should spend on acquisition versus expansion. Contracts work differently, and helping an existing customer solve another problem can be a very good use of a seller's time. But the research gives me a reason to look more closely at what sits underneath the revenue total. In the next revenue review, I'd put customers won and customers lost beside expansion revenue. If the customer base is shrinking, I'd then look at the suitable accounts in our chosen market that we're still not reaching. That gives the team a concrete place to look for growth without asking existing customers to carry more of the target. For me, that's the point of choosing a focused market: knowing which buyers we can serve well, then doing the work to win more of them. We can keep building the accounts we have while being honest about how much growth we're asking them to provide. If your existing customers spent exactly the same next quarter, where would your growth come from?

Show me a team's segmentation and I can usually tell within a minute whether it does any real work. Here is the tell. There are personas. There are tiers named enterprise, mid-market, SMB. There is a clean slide. Then the reps go work whoever replies, and all that careful segmentation sits in the deck doing nothing. A 2025 study in the Journal of Business Research put real numbers on it. The researchers surveyed 259 B2B managers across four countries with one question: when does segmentation actually improve performance? Almost every firm segments. Far fewer see it move anything. It pays only when a genuine purpose drives which variables you segment on, whether you are steering sales or watching the market, and only when you have a real procedure to act on the segments once they exist. Miss that, and you have drawn an accurate map that changes no decision. That reframed the whole thing for me. A segment only earns its place if it changes what you actually do for the buyers inside it. So here is a test for your next segmentation deck. Pick any two segments on it, and say what one gets that the other does not. If the honest answer is nothing, what is that segmentation actually for?

Every team I talk to can now reach any buyer it wants. AI writes the email and finds the contact for almost nothing. And I think that has quietly made most go-to-market worse. Here is why. For decades, reaching buyers cost time and money, and that cost forced you to be at least a little selective about who you went after. AI removed the cost. So reach is no longer the hard part, and that means it is no longer the advantage. Everyone has it now. The advantage moved to the decision underneath reach: which market you are actually in, and which accounts inside it deserve your real attention. That decision matters more than most teams admit. In Ebsta's 2025 benchmarks, a read of hundreds of thousands of opportunities, 14 percent of sellers produced 80 percent of the revenue. It was never spread evenly across a market. It concentrated, and the teams that win are the ones that find the concentration on purpose. That is what this week's Programmable Revenue is about. Issue 10, The Market Issue. It works through the choice from four angles: how to segment your market for a real purpose instead of a tidy slide, how markets actually grow (by adding new buyers, not by squeezing the ones you already have), which accounts pay you back the fastest, and two operators, Mark Roberge and Veeva, who treated choosing their market as the entire job. The tools made reach free. Choosing is the part that still takes judgment. So before you build your next list, ask the hard one: what is the single market you would bet your whole quarter on, and can you say it in one sentence? The full issue and a five-check market test are in the comments.

Here is the fastest way to tell if your next email is any good. Delete your logo and your product name from it. If a competitor could send the exact same words, you have not written a message. You have written noise. That single test has been the thread running through this whole week. When a machine can produce a competent email for free, more of them is not an advantage. The scarce thing is a message worth reading, and being different is the first bar it has to clear. Most outreach falls at that first line. So I turned it into a short checklist I run before anything important goes out. Differentiated: could only you have sent it. Matched: proof or story, chosen for the channel, not a house style. Personalized on the buyer's real situation, not a merge field. Disciplined: one idea, one ask, readable in a single pass. And human-owned: it carries a judgment a disclosure label could never fake. The check that catches the most people is that last one. Would you still send it if you had to sign it by hand? If the honest answer is no, the fix is not a sharper subject line. It is to put something of your own into it. Run it on the last email in your sent folder. How many of the five does it clear?

I have watched a lot of companies burn an entire roadmap trying to win the feature comparison. The smartest ones do something else: they change what is being compared. That is exactly what Palo Alto Networks did. Instead of arguing that its firewall or its cloud tool was best in class, it coined a word, platformization, and used it to move the buyer's decision away from stitching together a dozen point tools and toward standardizing on one platform. That is not a feature. It is a frame, and once a buyer accepts it, the whole evaluation tilts toward the vendor with a platform to sell. And it worked. Palo Alto Networks now reports about 2,500 platformized customers, and that group alone drives more than 65 percent of its next-generation security revenue while retaining above 120 percent. One word did the work a hundred feature pages could not: it told the market which comparison to make. The honest part: this was not free. They spent heavily to make platformization stick, including aggressive terms that pressure margin, and a large acquisition flatters the growth line. You do not have to copy the checkbook. You do have to copy the move. The lesson I keep taking from it is that the highest-leverage message is rarely a sharper claim about your product. It is a better definition of the decision your buyer is making. Name the decision well and you are halfway to winning it. Before you polish another feature line, work out what comparison your buyer is really running in their head, and whether you would rather have them running a different one.

A buyer who cannot tell what you are will not buy from you. No subject line, no story, no amount of clever copy fixes that. It is a positioning problem, and positioning is the one decision most teams never actually make. The person who turned that into a method is April Dunford Obviously Awesome is the book I have handed more founders than any other, and its follow-up, Sales Pitch, drags positioning off the website and into the actual sales conversation. She spent about twenty-five years positioning and launching products inside B2B tech companies before she made it teachable, and has since worked it through with more than two hundred of them. Her definition is deliberately unglamorous. Positioning is not your tagline. It is the context you set: what you are, who it is for, and what you are a clear alternative to, so a buyer instantly understands why you are the obvious choice. Get that wrong and the product does not read as bad. It reads as confusing, and confused buyers do not buy. This is why she belongs in a Message issue. Everything we fuss over, the subject line, the proof, the story, the personalization, assumes the buyer already knows what you are. Positioning is the decision that makes that true. It sits upstream of every message you send. So, honestly: could everyone on your team, in one sentence, name what you are a clear alternative to? If the answers do not match, that is not a copy problem.