DEEP BACKGROUND 13 OF 13 . WHAT THE CONE IS NOT

How is the Cone different from Rogers' adoption curve?

Rogers sorts people by when they adopt one innovation. The Cone sorts them by how much a whole domain matters to them. Which is why the same person is a Fanatic on one map and a Casual on another, in the same week.


ROGERS FIRST, AND GIVEN HIS DUE

Everett Rogers published Diffusion of Innovations in 1962 and gave the world innovators, early adopters, early majority, late majority and laggards, at roughly 2.5, 13.5, 34, 34 and 16 per cent. Geoffrey Moore added the chasm between early adopters and early majority in 1991.

Sixty four years on it is still the thing everybody reaches for, and mostly they are right to. If your question is how a specific new product will spread, Rogers is the better instrument and we would tell you so.

The Cone owes him a debt and every informed reader makes the comparison anyway. So it gets made here first.


THE DIFFERENCE, AND IT IS THE WHOLE CLAIM

Rogers's categories are properties of a person relative to a product. The Cone's are properties of a person relative to a domain.

That one move produces two things Rogers cannot produce.

The first is that a Cone does not need the innovation to exist yet. It reads the domain, so it can be placed before anything has been built, and it stays stable enough to plan a year around. An adoption curve needs something to adopt before it has anything to say.

The second matters more. There is no such thing as a laggard on a Cone. A laggard is somebody who is late about one product. An Indifferent is somebody for whom this whole domain is not where their attention lives, and it lives somewhere else instead, at the top of a Cone you are not looking at.

That is not a softer way of saying the same thing. It changes what you do on Monday. A laggard is a persuasion problem, so you spend money explaining. An Indifferent is not, so you spend money being available.

And it is why the same person is legitimately at both ends of two maps in the same week. Someone deep into trance music with the gear at home might not be able to name a footballer. Fanatic on one, Casual on the other, same person, same Tuesday. A curve sorted by adoption timing cannot say that. A map of propensity has to.


WHY THIS PAGE HAS NO STUDY ON IT, AND WHAT IT HAS INSTEAD

Every other page in this layer carries published work: named researchers, dated papers, the actual figures. This one does not, and dressing it up as though it did would be the easiest thing on this site to catch.

The Cone was not derived from a literature. It was built in rooms, for commercial reasons, by people who needed an answer that week. So the honest question is not which paper proves it. It is what kind of evidence a working instrument can actually offer.

The answer is transfer. Not that it worked once, which is a story. That it kept working somewhere it had no business working.

It has been employed at BBC Radio 1, at Sony Music, at Spotify, at Cisco, at Synlait, on AC/DC, on American Idol, on an American technology company serving people as they age, on a government education ministry, and on a youth programme with no audience data at all. A broadcaster, two record labels, a streaming service, enterprise technology, dairy, a television format, healthy ageing, education, and a standing start. Different economics, different customers, different problems, different decades. Same instrument.

A model that only works in music is a music model. One that reads the same way in dairy and in enterprise technology is reading something underneath the category, and what it is reading is propensity, which does not care what industry you are in.

This is also the kind of evidence the field admits it does not have. Nobody runs a controlled trial across a broadcaster, two record labels and a dairy processor over twenty five years. Nobody ever will, because no funder would pay for it and no institution would hold it together that long. The only route to it is a practitioner who did the work and kept the record.

So the claim on this page is narrower and harder than a citation. It is not that the Cone is proven. It is that it has been employed, repeatedly, across contexts that share nothing except human beings, and it held.


AND THE RULE THAT GOVERNS THE WHOLE LAYER

The science supports the method. It did not generate it.

Start, Build, Grow came from artist development in music, not from reading Centola. The meet and greet came from rooms, not from Nisbett and Wilson. The convergence, where a practitioner working from evidence nobody was collecting arrived at findings the literature took decades to establish, is the interesting part.

Dressed up as derivation it is a weaker claim, and a false one. Stated straight it is the strongest thing here.


WHAT A READ POINTS TO, AND THERE ARE THREE

A Cone read is not the finish. It points to one of three plays, and naming which one is the decision the read exists to make. Rogers has no equivalent, because a curve describes how something spread and does not tell you what to do next.

Start, Build, Grow. For a new idea where the fan base does not exist and has to be made. Start with Fanatics, find where they are, co-create, give ideas away. Build by giving Enthusiasts something worth being first to share, because discovery is their social currency. Its named failure is going too fast: with no Fanatic base to fall back on you have a one hit wonder.

Remake Your Market. For an existing business with legacy and product already in play, whose audience is misunderstood rather than absent. The tell is a misalignment the Cone surfaces, between what the business believes it sells and what people actually value. Re-engage the Fanatics who have been taken for granted, co-create with the Enthusiasts and Casuals who have been neglected, then translate one renewed truth across the whole Cone in different expressions for different behaviours.

Superfandom. For when the Fanatics are so valuable and so widely spread that depth beats breadth. Go deep with them, build things made for Fanatic-level engagement rather than scaled down mass offerings, and scale the IP rather than the firm. Chosen when reaching the mass is expensive or structurally unlikely, and when what the Fanatics love is defensible and travels without headcount.

Only the first of the three runs the sequence from the few to the many. That is why Fanatic-first is not a rule of the method, and why a finding about how established brands in mature categories add buyers is not automatically a finding against it. Which play a brief points to is settled by the read, not carried in ahead of it.


WHAT WOULD PROVE THIS WRONG

Two things, and both are checkable on your own data in an afternoon. Neither of them requires taking our word for anything.

One. If a person's position turned out to be stable across domains, the Cone would collapse into a personality type, the elevation would be doing no work, and Rogers would be the better instrument. Test it by mapping the same people in two unrelated domains and seeing whether they sit in the same place.

Two. If a Cone placed on a domain produced the same four groups as a demographic sort of the same population, then the domain move is decoration. Test it by running both sorts and putting them side by side.

We print these because a page that cannot say what would kill it is a marketing page. This layer is not that.


WHAT TO DO ON MONDAY

Take one person you know well and place them in three domains, without flattering any of it. Their work, something they love, and something they are bored by.

If you can do that without hesitating, and the three answers are different, you have just used the instrument. That is all it is.

Then ask which of the three domains your organisation is actually operating in, and whether you have ever placed anybody in it.


That is the thirteenth pillar and the last of the deep background. The instrument itself is on the Cone pages, and the unit it reads is on pillar one, propensity over demographics.


SOURCES

Rogers, E. M. (1962). Diffusion of Innovations. New York: Free Press. Adopter categories at roughly 2.5 / 13.5 / 34 / 34 / 16 per cent, sorted by time of adoption of a specific innovation.
Moore, G. A. (1991). Crossing the Chasm. New York: HarperBusiness. Adds the gap between early adopters and the early majority.
BIF and Superfandom source: the Evidence Register (BIF_Superfandom_Evidence_Register, 5 September 2026), row S05, Extended by practice, which is where this argument is set out for the doctorate. The honesty rule in block 5 is the register's own closing rule.
The transfer record is drawn from twenty five years of delivery. It is evidence of employment, not a controlled result, and this page says so on its face.

Superfandom . Deep Background . https://superfandom.ai/science/what-the-cone-is-not/
Matt Hart . published 2026-09-08 . last changed 2026-09-09