Same engine, eight audiences, eight different answers.
The archetypes below are the scenarios we design and test Audonomics against. Each one has a real audience and no system that turns it into a business. What changes between them is not the category — it is the shape of the audience, and that is the only thing the engine reads.
These are not customers. Every name, number and outcome on this page is an illustrative scenario constructed to show how the engine reasons. We do not publish invented testimonials, logos or results, and we will not start.
- Illustrative scenario
Musician
ImmersionAudience shape- 340,000 monthly listeners across streaming
- 62,000 email subscribers, 31% open rate
- Toured 14 cities in the last two years
ObservedRanked firstFour-night listening retreat · 60 guests
511 members have already travelled to a show outside their own city, and the Traveler segment carries 4.1× the median lifetime spend. A fifteenth tour date competes with the fourteen you already played; a retreat does not.
What the model said- Capacity
- 60 guests
- Blended price
- $2,993
- Break-even
- 22 guests
- Base contribution
- $47,000
Honest caveat: Revenue is modeled until the deposit test closes. Costs are external — three vendor quotes within 8%.
- Illustrative scenario
Influencer
GatherAudience shape- 1.2M short-form followers, median watch 4 seconds
- 9,400 email subscribers — attention is broad and shallow
- Audience concentrated in 12 metros
ObservedRanked firstTwelve-city meet-and-greet · paid photo tier
The retreat ranked fifth here, not first. Volume at a low price beats depth at a high one when the audience is wide and lightly attached. The engine follows the audience, not the category.
What the model said- Cities
- 12
- Capacity per city
- 250
- Entry price
- $45
- Photo tier
- $180
Honest caveat: Audience fit scored 71 and demand 84, but margin scored 52 — venue and security costs eat a low ticket fast.
- Illustrative scenario
Chef
GatherAudience shape- One restaurant, 180,000 social followers
- 6,200 past reservation records imported from the booking system
- Waitlist that has never been monetised
ObservedRanked firstTwelve-seat dinner series · four cities
Near-zero fixed cost, six weeks from decision to first seating, and a capacity so small that demand risk is close to nil. It scored 81 on almost no revenue potential — because complexity scored 19.
What the model said- Seats per city
- 12
- Price
- $450
- Fixed cost per city
- $3,900
- Break-even
- 9 seats
Honest caveat: Reservation history is observed. The four-city extrapolation is modeled.
- Illustrative scenario
Athlete
ImmersionAudience shape- Retired professional, 90,000 followers
- Existing one-to-one coaching list of 340 people
- Strong regional concentration in two states
ObservedRanked firstTraining camp · travel package · spectator tier
The coaching list is small but converts at a rate no social audience matches. Adding a parent and spectator tier roughly doubles addressable capacity without touching the camp's marginal cost.
What the model said- Athletes
- 48
- Spectator tier
- 96
- Athlete price
- $1,200
- Break-even
- 31 athletes
Honest caveat: Minor participants raise a real compliance and consent burden. Risk scored 64.
- Illustrative scenario
YouTuber
EducationAudience shape- 800,000 subscribers, business and education content
- 48,000 email subscribers with a 44% open rate
- Existing $29/month membership at 2,100 members
ObservedRanked firstCreator mastermind · two cohorts of 24
The membership already proves willingness to pay monthly. A high-price, low-capacity cohort monetises the top of that base without cannibalising it — and the alumni become the recruitment channel for cohort three.
What the model said- Cohorts
- 2 × 24
- Price
- $4,800
- Required conversion
- 2.3% of members
- Base contribution
- $142,000
Honest caveat: Required conversion is calculated. Whether it is achievable is a judgement, not a number.
- Illustrative scenario
Author
ImmersionAudience shape- 40,000 newsletter subscribers, 52% open rate
- Three books, 11,000 direct sales through the site
- No events, ever
ObservedRanked firstOne-week writing immersion · 24 places
Small audience, extraordinary engagement. Direct book buyers are the highest-signal segment in this shape — they chose to buy from the author rather than the cheaper, easier retailer.
What the model said- Places
- 24
- Price
- $3,400
- Fixed cost
- $22,600
- Break-even
- 9 places
Honest caveat: First-time operator. Time-to-launch scored 44 and complexity 58, which held the composite to 69.
- Illustrative scenario
Gamer
ParticipationAudience shape- 250,000 followers on a live streaming platform
- Highly synchronous audience — 18,000 concurrent at peak
- Young audience, low median disposable income
ObservedRanked firstRegional tournament · 128 competitors · spectator tier
Competitor entry fees alone do not clear the fixed cost. The engine ranked it first anyway because the sponsorship engine found three plausible package tiers against an audience with rare, verifiable concurrency.
What the model said- Competitors
- 128
- Entry fee
- $25
- Sponsorship target
- $60,000
- Break-even
- Sponsorship-dependent
Honest caveat: Break-even is contingent on sponsorship, which is modeled. The engine flags contingent break-even rather than averaging it away.
- Illustrative scenario
Educator
MembershipAudience shape- 22,000 past students across four self-paced courses
- Completion rate of 34% — a large, warm, under-served base
- No recurring revenue at all
ObservedRanked firstLive cohort programme · alumni membership
The opportunity here is not a new product; it is recurrence. A cohort creates the alumni base, and the membership turns a one-time purchase population into a monthly one.
What the model said- Cohort size
- 60
- Cohort price
- $890
- Membership
- $19/month
- Modelled MRR at 9%
- $18,900
Honest caveat: Membership retention is modeled from a category assumption, not from your data. Confidence 0.44.
Every figure above is constructed for illustration. No customer data appears on this page.
Notice what did not happen.
The engine did not recommend a retreat eight times. The influencer got a low-price, high-volume tour. The gamer got a sponsorship-contingent tournament with the contingency stated on the face of it. The educator got recurrence rather than a new product.
That is the difference between a system that reads an audience and a template that reads a category. Two musicians with identically sized followings can get opposite answers, because one has 511 people who have crossed a border for them and the other has none.
It is also why we will not show you a case study with a number on it until there is a real one. When there is, it will carry a provenance label like everything else.
Find out which of these you actually are.
Connect a source and let the engine read the shape of your audience rather than the label on your category.