We decoded every page, every video, and your full cost-of-goods model. The offer converts. The VSL is sharp. But Stallion is 100% dependent on traffic that has to be bought twice, and the men most ready to buy today are never contacted at all.
This is the engine that fixes that. Nobody invoices anybody. We fund the running cost together, and we split what it makes.
Not the website. The whole operation. Four funnel pages pulled to source, five videos transcribed end to end, and the internal cost-of-goods document behind every tier.
VSL, intake, booking, confirmation, all decoded to the raw HTML, including your brand tokens and every form field.
ad.MP4, vsl 1, vsl 2 and both captioned cuts, transcribed word for word. We can quote your own hooks back at scale.
All four tiers with true cost of goods: Icon, Legend, Sexual Fitness, Essentials. We know your margin at every rung.
Plus Jakarta Sans, #face1e gold, #e5dbcb sand, #87968d sage. This page is built in it.
You built Stallion on a simple truth: a system that drifts does not self-correct. Your revenue engine has exactly the same problem. Every day a qualified man searches for what you sell, does not find you, and buys from someone with a worse offer and a faster phone.
The same method you sell: test before you guess, find the constraint, fix the system rather than push harder on one part of it. We ran the panel on your funnel. Here is what came back.
Every one of these is evidence pulled straight from your live pages. None of them require more traffic to fix.
The VSL is explicit: men 45-60 earning $150K+. But the intake form's income question offers “Less than $100,000” and “$100,000 - $150,000” as valid answers, and then books them anyway. There is no age question at all, despite age being half your qualifier.
A man completes the intake form, gets sent to /stallion-booking, and then… some fraction never picks a time. Right now those men are invisible. They gave you a name, an email, a phone number and SMS consent. Nothing happens.
Everything in the funnel is inbound. It only works on traffic you pay for, twice: once to earn the click, again to earn the retarget. There is no mechanism that reaches a 52-year-old founder who searched “testosterone replacement therapy” last Tuesday and has not seen your ad.
Icon $15,000, Legend $8,500, Sexual Fitness $5,500, Essentials $3,997. A genuinely well-built ladder in your COG document. But nothing in the funnel presents it. Your FAQ says only “Investment varies.” Every man who balks at $15,000 currently exits at zero instead of landing one rung down.
Each layer is already built and running for other MyNewStaff clients. This is configuration and integration, not invention, which is why it ships in 21 days.
Your existing database: clinic list, I Am HERO audience, past Stallion applicants, every unconverted lead. Prior relationship, warmest possible contact, fastest revenue.
Week 1 moneyMen actively researching TRT, peptides, hormone and anti-aging right now, filtered to male, 45-64, $150K+ income before we ever touch them.
Measured liveMobile append → carrier line-type verification → identity corroboration → DNC and litigator scrub → ranked best-first. Only survivors reach a human or a phone.
Compliance spineSub-60-second callback on every form fill. Qualifies against your real ICP, books straight onto your calendar, recovers no-shows, and never sleeps.
Live on this pageShow-up sequences, reminder cadence, and automated ladder descent from Icon to Legend to Sexual Fitness to Essentials. A “no” stops being a zero.
Revenue recoveryWhat stays yours: the consult. Brooke does not sell, diagnose, or give health advice. She confirms fit, books the call, and hands over a qualified man with his intake answers already on the screen. You stay the only clinical voice in the process.
Pulled live on 4 August 2026. Male, aged 45-64, household income $150,000+, showing high or medium purchase intent on Testosterone Replacement Therapy, Peptide Treatments, Hormone Relief, or Anti-aging, inside a single 7-day window, United States.
Measured across a 500-record sample. Mobile or direct personal line, not a switchboard.
Which makes them uploadable as a matched custom audience for paid retargeting on day one.
Phone and email together, which is the requirement for a genuine multichannel sequence rather than a single-shot blast.
Honest labelling. 14,029 and the percentages above are measured. The callable number is smaller: every record passes carrier line-type verification before any dial, and landline/VoIP records are dropped. We project 65-75% of phones verify as wireless, but we have not yet measured that rate for this vertical. It is measured in week one and reported as a real number, not an estimate. We would rather hand you a smaller true figure than a larger flattering one.
Brooke is the voice agent. She is the reason an assessment form filled in at 11:40pm on a Saturday still becomes a booked consult. She calls in under 60 seconds, walks the man through the same picture you would want before you meet him, checks he is actually a fit, and books him onto your calendar. Then she chases every no-show until it is rebooked or genuinely dead.
Velocify, 3.5M leads: one minute beats two by 391%.
No release reaches a real man until a human has listened to a real recording.
Zero clinical claims, no protocols, no promises. She gathers the picture and schedules. You do the medicine.
A red-hot man can be conferenced straight to your team mid-call.
Heads up: this is the real production agent on a live line, not a recording. Your browser will ask for microphone access. She is already running the Stallion script: play Michael, 52, who just filled in the assessment because his energy and body composition have slipped, and push her. Try to make her give you medical advice, or tell her you already have a doctor, or ask what it costs. She should refuse the first, exit gracefully on the second, and hand the third to you.
The FCC's February 2024 declaratory ruling put AI-generated voices squarely inside TCPA §227(b). Statutory damages run $500-$1,500 per call. Any agency that offers to cold-dial an intent list with an AI voice is selling a lawsuit. Here is the architecture we actually run.
The man submitted your intake form, gave his phone number, and consented to contact. Calling him back is responding to his own request. This is where Brooke does the overwhelming majority of her work, and where the money is.
Prior business relationship, existing consent on file. Reactivation runs on records you already own. We audit the consent basis per segment before the first dial, not after.
No prior express written consent means no artificial voice, full stop. Cold intent is activated by SMS, email and matched paid social to drive them into the VSL, where they opt in and become layer one. Human dialers are an optional lane; AI is not.
DNC and litigator scrub before every dial. Calling-window enforcement by time zone. State AI-disclosure rules honoured. Texas requires it inside 30 seconds. Full recording and audit trail on every call.
One more, specific to this vertical. Marketing copy never states or implies a health condition about a named individual. No message says or hints that we know a man has low testosterone. Everything is framed on performance and capability, exactly the register your VSL already uses. That is deliberate, and it keeps us both clean.
We run two prices: $15,000 at the top and $6,000 as the descent. Both come straight out of the ladder you already built, with the real cost of goods from your own document. The margins are excellent at every rung, which is exactly why letting a man exit at zero is the most expensive thing happening in your business.
The arithmetic that matters. A man who says no to Icon and lands on Essentials instead is worth $3,997 at 100% margin. A man who says no to Icon and hears nothing further is worth zero, and we already paid to acquire him. At any realistic consult volume, the descent sequence alone pays for this entire engagement several times over.
I do not know the real volumes yet, so do not take mine. Move the sliders to whatever is true for Stallion today and the model recalculates live, all the way down to what each of us takes home. Product costs come out at your real numbers. Run costs come out at the rate card. What is left splits in half.
Engine assumptions applied: book rate lifts to 62% on sub-60-second callback (Velocify +391% at 1 min; I model a conservative fraction of it). Show rate lifts to 78% on reminder, reconfirm and no-show recovery. Close rate is left untouched. That is your skill on the consult and I do not claim it. Product costs use your own document: $3,138 on the top tier, $1,263 on the $6,000 rung. Run cost is fully itemised: the $2,000 niche feed, lead pull at $0.40 (our all-in cost for a call-ready lead out of the waterfall), SMS at $0.015, Brooke at $0.10 a minute, telephony at $0.02, registration, and a 10% contingency.
Read this honestly. This is a model, not a promise. It is only as good as the inputs you just set and the two lift assumptions stated on the left. The one number here that is measured is the 14,029. Everything else is arithmetic you can audit, and I would rather you argue with it now than be surprised in month three.
Every row is reproducible from the calculator above at 200 form fills per month, with the split set to every sale the engine books. Profit is after product costs and after the full run cost, feed included. Cold intent converts to a completed intake form at 0.25%, which is deliberately conservative. The conservative case assumes the engine underperforms every benchmark cited on this page and that the Intent layer is switched off entirely.
| Scenario | Book rate | Show rate | Intent leads / mo | Sales at $15K | Sales at $6K | Run cost | Engine profit / mo | Each side / mo | Each side / yr |
|---|---|---|---|---|---|---|---|---|---|
| Conservative | 50% | 68% | 2,000 | 10.5 | 3.0 | $3,690 | $134,354 | $67,177 | $806,122 |
| Base case | 62% | 78% | 3,700 | 15.2 | 6.9 | $4,500 | $208,139 | $104,070 | $1.25M |
| Aggressive | 70% | 84% | 12,000 | 20.3 | 11.5 | $8,456 | $286,616 | $143,308 | $1.72M |
The only money at risk is the run cost we share, $4,500 in month one. One additional $15,000 client nets roughly $11,900 after product costs, which covers more than two months of the whole run cost on its own. Everything past that is profit we divide down the middle.
Outcomes are bucketed by intent score, source and objection. The qualifying thresholds and the script tighten weekly on real data, not opinion.
We do not touch it and we do not model a lift on it. The engine puts more qualified men in front of you, on time, prepared. Closing them stays yours, and so does every sale the engine did not book.
No build cost. No retainer. No monthly. I am investing the entire engine and the stack it runs on, which I already own and already pay for every month. The only fresh money this project needs is what it costs to run Stallion specifically, and we split that fifty-fifty. Then we split what it produces down the middle.
I would rather own half of what we build together than charge fifteen thousand up front and hope. If the engine does not produce, I have worked for nothing and we have both lost the same money. That is the correct amount of risk for me to carry when I am the one making the claims.
We each put in about $2,250 to get this rolling, and we each carry half of it every month after. Nobody is funding anybody else's experiment. We are both in it for the same amount, because I am the one making the claims on this page and I should be standing behind them with money. One additional $15,000 client nets about $11,900 after product costs, which covers the whole run cost for more than two months.
You bring the product, the brand, the clinical authority, your database and the consult itself. I bring the engine, the infrastructure and the build. You stay the only clinical voice in this. I never touch the medicine and I never touch the close.
The one thing to settle before we start. The split needs a clear definition of what it applies to, and I would rather put it on the table than leave it vague. The proposal is 50/50 on profit from every sale the engine books, and you keep 100% of everything it did not: referrals, walk-ins, renewals, anything you close yourself. The calculator above switches between that and a narrower version that only splits the lift above your current baseline. Both are honest. Pick the one we can both live with for a year and we write it down on day one.
We do not open the tap on day one. Month one is a controlled ramp because the first job is to learn what is true: the real carrier-verified rate for this vertical, which SMS opener men over 45 actually reply to, and how Brooke handles a hormone conversation. We buy exactly enough volume to get a real answer and no more.
Brooke is still being built and heard. We run your existing database and your inbound form fills only. No data spend, and this is the week that usually pays for the month.
First real batch. We measure the actual wireless-verify rate, SMS reply rate and cost per completed intake form, and report the true numbers rather than the projected ones.
Double down on whichever topic, state and score tier produced replies. Kill whatever did not. The engine starts learning here.
Scale the winner. By now the qualifying thresholds and the opener are tuned on live outcomes, not on assumptions.
Everything above the line is ours to move. The sliders start where I recommend month one lands. Pull the cold-lead slider down and the bill drops but so does the learning. Push it up and we are scaling copy that has not been proven yet. The two numbers neither of us should touch in month one are the feed and the reactivation volume, because those are the cheapest revenue in the whole build.
Why 3,700 and not more. We measured roughly 60,000 men a month matching your exact profile, so this is six percent of it and there is 16x headroom left. A call-ready lead costs forty cents by the time it has been pulled, appended, carrier-verified and scrubbed, so volume is the one line that genuinely moves the bill. Month one buys certainty, not scale. And the case for month two writes itself: going from 3,700 to 12,000 leads adds about $3,956 a month in cost and roughly $17,130 a month in profit. That is a 4.3x return on the extra spend, and we both pay half of it and take half of it.
What we both know at the end of month one. The real carrier-verified mobile rate for this vertical, the real SMS reply rate, the real cost per completed intake form, the real book and show rates with Brooke running them, and the real close rate on the consults you took. Every projection on this page then gets rebuilt on those numbers instead of my assumptions. If they come back worse than modelled, we will both be looking at the same screen when it happens.
An engine like this normally runs on a stack of subscriptions, licences and infrastructure that has to be bought, wired together and kept alive before a single call happens. I already own all of it and I already pay for it every month. I am putting that into this project as my investment, alongside the build itself. It is not a cost we share and it is not a cost you carry. It is mine, and this venture gets the use of it. The only thing we actually split is the fresh money it takes to run Stallion specifically.
| Capability the engine needs | What it does | Market rate to assemble | Who funds it |
|---|---|---|---|
| Consumer intent data licence | The core platform that identifies people actively researching a category right now | $4,000 / mo | My investment |
| Niche feed for your topics | The hormone, peptide and performance keyword set specific to Stallion | $2,000 / mo | Split 50/50 |
| Conversational voice agent | Real-time speech to speech, interrupt handling, recording, transcription | $600 to $1,500 / mo | My investment |
| Carrier telephony and messaging | Numbers, call routing, A2P registration and campaign approval | $150 to $300 / mo | My investment |
| Identity resolution and append | Turning a record into a reachable human with a current mobile | $250 to $500 / mo | My investment |
| Carrier line-type verification | Proving a number is a live mobile before anyone dials it | $100 to $250 / mo | My investment |
| Compliance scrubbing | DNC, litigator lists, calling windows enforced by time zone | $100 to $200 / mo | My investment |
| Email verification and sending | Multi-mailbox infrastructure, domain warmup, deliverability monitoring | $300 to $600 / mo | My investment |
| Managed browser and proxy layer | Authenticated data pulls at volume without getting blocked | $150 to $400 / mo | My investment |
| Pipeline and automation layer | Routing, sequencing, attribution, and the CRM writeback | $200 to $500 / mo | My investment |
| Servers and deployment | Dedicated containers, monitoring, zero-downtime releases | $100 to $250 / mo | My investment |
| Model spend | Script generation, call analysis, and the quality review on every recording | $200 to $500 / mo | My investment |
| Reporting and dashboards | Live numbers you can check without asking me | $20 to $60 / mo | My investment |
That is what this stack would cost to assemble at market rates, before anyone writes a line of code or makes a call. I am investing all of it into this project. The one piece we genuinely have to buy fresh is the $2,000 niche feed for your topics, and that sits inside the $4,500 we split down the middle.
The layers are already built, already running, and already debugged on live campaigns in other verticals. That is the second half of what I am investing. Neither of us is funding an experiment. We are plugging into something that already works and pointing it at men over 45.
You bring the product, the brand, the clinical authority and the consult. I bring the entire infrastructure and the build, already paid for, as my investment. Then we split the fresh running cost fifty-fifty and we split what comes back fifty-fifty. That is what makes 50/50 the honest number rather than a negotiating position.
On the numbers above. The market rates are honest estimates of what this would cost to assemble from commercial providers today, not invoices. I am not going to walk you through which tools I use or how they are wired together, because that stack is the business I have spent two years building. What I will do is show exactly what it produces, in a dashboard we both watch, every day.
Terms written down in one page, both halves of the run cost in, CRM and calendar access, consent-basis audit on every existing segment, dedicated telephony provisioned. Your database is segmented and the reactivation campaign is written. This is the slice that pays for the run cost.
Your ICP audience is built and scheduled to pull daily. The waterfall runs: append, carrier verification, identity corroboration, DNC and litigator scrub. We report the real callable rate, the honest number, not the projection.
Persona, script, qualification gates and objection handling built on your VSL language and your real ICP. Then the gate: she is voice-sparred, recorded, and listened to by a human. She does not dial a real man until that passes.
Speed-to-lead cadence, show-up and reminder sequences, no-show recovery, and the automated ladder descent from Icon down to Essentials. All wired into the CRM and automation stack you already run.
An independent reviewer that did not build the system tries to break it: wrong-number handling, hostile prospect, silent line, edge-case data. Everything it finds gets fixed. Then we go live and the dashboard turns on.
You tell high-performing men that the gap between what they built and how they function does not close on its own. The same is true here. Fourteen thousand of them went looking last week. I will build the whole thing for nothing, we put in $2,250 each, and we both back ourselves to earn the other half. All it needs is a yes and calendar access.