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The Demand Engine
The same machine, aimed at three different sellers. An individual selling online. A company selling to consumers. A company selling to a buying committee. And the businesses on your own high street. The five stages hold across all three. Almost nothing else does, and the places where they diverge are where most people get it wrong.
Read this table before picking a track. The row that surprises people most is the room. Track C has a clean conversion moment we can point at. Track A's room is an email sequence. Track B does not have one at all, which is exactly why its attribution is contested.
| A · Individual online | B · Company to consumer | C · Company to committee | D · Local business | |
|---|---|---|---|---|
| Who decides | One person, alone, often at night | One owner, spending their own money | One person, fast, on a phone | Ten or more people over months |
| The room | A triggered email sequence. There is no page doing the selling. | No single room. Conversion is spread across ad creative, product page and retention flows. | A teaching session, then a conversation. The session qualifies; it does not close. | A conversation in their shop, while they work |
| Cycle | Days to weeks | Minutes to days | 10.1 months average B | Days to weeks |
| Deadline works | Yes, if the cart genuinely closes | Yes, if inventory or the season is genuinely finite | No. They close on their budget cycle, not ours | Only your own capacity, stated honestly |
| Front-end economics | Paid acquisition barely returns cost: ROAS 1.19 in e-learning B | ROAS 1.88 platform-wide on Meta B | Front end is not a revenue event at all | The free thing is the entire front end |
| What kills it | Never reaching the audience size the arithmetic requires | Negative contribution margin at scale, hidden by growth | Reporting registrations instead of pipeline | Building yourself a job rather than a business |
| Biggest regulatory exposure | Earnings claims and testimonials under FTC §5 | Subscription cancellation, then reference pricing | Substantiation of performance claims | Substantiation, plus local reputation, which travels faster |
| Evidence available | Poor. Most published numbers are platform marketing | Good. Large platform datasets and public filings | Moderate. Vendor benchmarks with disclosed samples | None. Instrument your own from client one |
A solo creator, coach, consultant or course seller. No team. Their own audience is the whole asset, and the arithmetic of that audience decides everything else. This is the customer the operation we tore apart was selling to.
Newsletter continuity at $10 monthly or $100 annual is the observed market standard. The rest are individually sourced and should be treated as observations, not a rate card.
Median free-to-paid conversion is 0.62%. That is first-party platform transaction data across thousands of publications, and it sits roughly ten times below the 5–10% figure the platforms themselves market.
Work the arithmetic out loud, because nobody does. A 10,000-person list at 0.62% and $10 a month is about 62 paid subscribers, roughly $620 a month gross, before a 10–13% platform take and 5–17% monthly churn.
If one number from this track reaches a client, make it this one.
A triggered email sequence, not a webinar. There is no product page doing the selling and no salesperson, so the sequence carries the entire argument.
Email converts at roughly 4.2% against 1.1% for paid social, and triggered flows outperform broadcast campaigns by a wide margin: in one large platform dataset, SMS flows were 7.6% of sends and 45.2% of SMS revenue.
There is no credible comparative evidence on webinar versus challenge versus DM funnel. Anyone who tells you otherwise is selling the method.
Not a bad funnel. Arithmetic. Creator earnings follow a power law with an exponent near two, which one peer-reviewed analysis describes as behaving closer to concentrated capital income than to labour income. The median is near zero and the average is meaningless.
More than half of creators earn under $15,000 a year, and that figure comes from a survey distributed through a platform, so the real distribution is likely worse.
The end often arrives as a payment processor shutdown rather than a slow decline: education and training chargebacks run 1.02%, above the level at which card networks start monitoring a merchant.
Legitimate: a cart that genuinely closes and stays closed. A cohort that genuinely starts on a date. A price that genuinely rises and stays risen.
Not: a cart that reopens next week. A recorded session presented as live. A countdown that resets per visitor.
Note where the enforcement actually lands. One 2026 order against a course seller turned as much on burying refund terms and delaying refund requests as on the income claim itself.
A DTC brand, physical product or subscription. One buyer deciding fast, usually on a phone. This is the track with the best evidence available and the least forgiving unit economics.
Median AOV across paid channels comes from a dataset of more than 53,000 brands. For what a mature subscription base can look like: Chewy's Autoship is 83.3% of net sales, per their own filing.
Read those five together. Cost up, clicks up, conversion down, return flat. Meta is delivering more clicks at a higher price that convert worse. Rising click-through alongside falling conversion is the signature of creative fatigue being masked by algorithmic click optimisation.
Payback is the metric, not LTV to CAC. Pure DTC wants three to six months, tolerates six to twelve, and past twelve months is cash-intensive and fragile. Subscription should pay back in one to three.
Marketing runs at a median 13.3% of revenue across ten public DTC brands. Private brands under $50M typically need 20–35% because they have no brand pull. A useful cap: a third of gross profit until awareness exists.
Returns are not a rounding error: 15.8% of retail sales and 19.3% of online sales, with 9% of returns fraudulent.
Spending gross-margin dollars you do not have to buy customers who do not come back. The clearest case in the public record is Allbirds: a $4B peak valuation sold for $39M in March 2026, revenue down 48.8% from 2022, gross margin down twelve points, marketing peaking near 33% of revenue as sales were falling, never profitable as a public company.
The signature to teach: marketing as a share of revenue rising while revenue falls. It is visible in the filings years before the end.
Monthly subscription churn runs roughly 4–7% for replenishment CPG, 8–15% for meal kits, 10–15% for apparel boxes. Annual plans hold far better than monthly: for supplements, 0.5–1.5% against 5–8%.
Involuntary churn, meaning failed cards, is 12–42% of all losses. It is the cheapest retention win available and it is consistently nobody's job.
The one audited churn comparison worth knowing: Peloton discloses 1.6% monthly on connected fitness against 7.0% on the app. Hardware lock-in retains four times better than content at a similar price.
Ten or more people, over about ten months, most of whom we never meet. This is the track the rest of the Demand Engine was built for, and the one where nearly everything we already have applies unchanged.
Price the diagnostic at 5 to 15% of the work it leads to, ten percent as the default. Forty-four named formats with published prices sit in the Rung Two catalogue.
Forty minutes, monthly, replay open permanently. Retention runs 73% at 35 to 45 minutes against 51% at 60. The session's job is a qualified conversation, never a card transaction.
Give away the method completely. What we sell is execution, accountability and speed.
Reporting registrations. This is the single most common failure when an agency imports consumer funnel mechanics into B2B: the funnel produces impressive counts and no pipeline, and everyone can see the dashboard is green while the pipeline is empty.
The second failure is delivering an audit without priced options, which is how a diagnostic becomes a shelved deck.
Cart deadlines, countdowns and last-day mechanics. A B2B deal closes on the buyer's budget cycle, and an artificial deadline gets you excluded rather than accelerated.
The 90-minute pitch webinar. A working buyer will not give you two hours, and the long close block reads as a hostage situation.
Closing high ticket in the room. Anything above roughly $10k involves procurement and legal.
From A: the discipline of a real deadline when a cohort genuinely starts, and the email sequence as a sales asset rather than a newsletter.
From B: contribution-margin thinking. Most agencies measure a B2B programme on revenue and never on what it cost to deliver, which is the same error that killed Allbirds in a different currency.
One owner, spending their own money, deciding in a conversation whether they trust you. The smallest version of a committee sale, and the one place where proximity beats budget.
Four to six retainers is a living. That is the whole target, and it is closer than it sounds.
A conversation, usually in their shop, usually while they are doing something else. There is no landing page in this business for a long time.
What converts is one specific thing about their business they did not know. Not a template audit: they have had three and all three were a pitch wearing a costume.
No committee, no procurement, no ten-month cycle. The decision happens in one conversation with the person whose money it is.
That cuts both ways. You can close in a week and you can be dropped in a week, and almost nothing about the relationship is contractual the way enterprise work is.
You build yourself a job. Six clients who all need you personally every week is employment with worse benefits.
Then automation takes the rest. A productized audit at $750 delivered in 24 hours sets the ceiling on anything a machine can do alone. What survives needs a person in the room.
Your own capacity, stated honestly. "I can take one more build before December" is true, checkable and effective.
Nothing else. There is no cart here, and inventing one in a town where people talk to each other is worse than useless.
No credible published benchmark set exists for local service businesses at this size. The bands here are observed ranges from published rate cards, not a dataset.
So instrument your own from the first client, because nobody is going to hand you the numbers.
Numbers that circulate widely in all three markets with no traceable origin. Several appear in competitors' decks. If one of these turns up in our work, it came from a content farm.