Roughly 70% of Billion-Dollar Tech Companies Never Ran a Single Brand Ad
The 95-5 rule is one of B2B marketing's favourite soundbites: at any given moment, only 5% of your market is actually in-market to buy, and 95% are not. It gets cited in board meetings, brand strategy decks, and budget arguments as settled fact. It's also, in most fast-growing B2B tech categories, simply wrong — not by a rounding error, but by a factor of five or more.
That's the argument Dale W. Harrison and Liam Moroney dig into in Episode 4 of B2B Effectiveness: Evidence-Based Marketing Ideas for B2B Practitioners: the 95-5 rule isn't false, but it comes with an assumption almost nobody repeating it seems to know about — and that assumption breaks completely the moment a market starts growing or shrinking.
Where the 95-5 rule actually comes from
The rule traces back to Andrew Ehrenberg's NBD model of purchase frequency — decades of research across thousands of products showing that in any category, a small number of people buy frequently and a very large number buy infrequently. At any single point in time, that means relatively few people are actively in-market. So far, so intuitive.
Here's the part that gets dropped every time the soundbite gets repeated: Ehrenberg's model only applies to stationary markets — categories that are neither growing nor shrinking, where every purchase is a repurchase. Laundry detergent is the textbook example. Nobody is newly discovering the concept of washing clothes; the entire market is prior buyers replacing an empty box. That's a completely different situation from most B2B technology categories, which are constantly gaining first-time buyers as they grow, or losing repeat buyers as they decline.
Why growing markets break the rule — hard
When the iPod launched, every single unit sold in its first month went to someone who had never bought an MP3 player before — 100% first-time buyers, because the category didn't exist yet. That's an extreme case, but the underlying mechanic scales down to any growing market. Dale's example: the CRM category in the early 2000s was doubling in size every year. Under those conditions, roughly a quarter of the entire market was in-market at any given time — not 5%, but closer to 25%, because a huge wave of first-time buyers was entering the category on top of the usual repurchase cycle.
Even today, with the CRM market growing at a much more modest 13.5% annually in the US, Dale estimates 30–40% of active buyers are still first-timers. The practical takeaway: if you know whether your category is expanding or contracting, you know something real about how many of your leads are actually in-market — information the 95-5 rule, taken as gospel, would tell you to ignore.
The trouble with the famous 50-50 (or 60-40) brand-performance split
This is also where Dale takes aim at the well-known Binet and Field research, often cited as proof that B2B budgets should split roughly 50-50 or 60-40 between brand and performance marketing. The problem isn't the finding — it's the sample. The data set is built almost entirely from large, highly-funded companies with the spare budget to enter marketing award competitions in the first place. That's a serious selection bias: it skews toward older, more mature, slower-growing markets, and says very little about what a smaller or faster-growing company should actually do. As Dale puts it, the underlying data from wildly different companies in wildly different markets gets “poured into a blender” and reduced to a single ratio that doesn't hold up once you separate it back out by context.
A more telling data point: right now there are roughly 500 B2B tech companies with over $1 billion in annual revenue — and about 70% of them reached that milestone without ever running a single brand ad. They grew entirely on performance marketing. Salesforce itself didn't start meaningfully investing in brand until it was roughly 20 years old, and only once CRM category growth began to flatten out.
Why some of the biggest brands on earth never advertise at all
The same pattern holds outside tech. Walk into an American supermarket and you'll find 4,000–5,000 unique brands on the shelves — 60–80% of which have never run a single piece of advertising in their entire history. Their only marketing is shelf placement, packaging, and the occasional in-store display: the retail equivalent of performance marketing, reaching buyers only at the exact moment they're already in-market.
Brand marketing earns its keep in a very specific situation: long repurchase cycles. If your buying cycle is three, four, five years, that's a long time for a prospect to forget you exist — memories decay to nothing within a few weeks to a few months without reinforcement. That's why market leaders like Salesforce, who can count on roughly a third of all buyers having already used their product, have a durable memorability advantage that a small, fast-growing challenger simply can't buy its way into with a single campaign.
The contrast Dale draws is exterminators versus DUI attorneys. Home exterminators lean almost entirely on brand — broad, generic marketing that stays top-of-mind for the rare moment someone needs one. DUI attorneys do something much sharper: heavy use of memorable mnemonics and billboards concentrated in bar districts, aiming to be remembered at the exact moment of arrest — arguably the most precisely targeted “in-market” moment in all of marketing.
A law, not a soundbite
None of this means the 95-5 rule is wrong. Dale's analogy: gravity on the Moon is different from gravity on Earth, which is different again on Jupiter — but the underlying laws of physics haven't changed, only the specific value you'd calculate for a given context. The 95-5 rule works the same way. It's a baseline, not a universal constant. Rising markets are like wind at your back; falling markets are like friction. F still equals ma — you just have to account for the forces acting on top of it.
Which loops directly back to lead scoring: if you know your category is growing at 25% instead of the static 5%, a randomly selected lead from that market is five times more likely to be in-market right now. That's not a soft insight — it's a concrete, usable multiplier on how effective your performance marketing dollars are likely to be, and exactly the kind of context-specific factor a rigid, one-size-fits-all lead score can never capture.
