Technical Specifications
Architecture RFCs
For: Product Leads & Enterprise Buyers
Technical Documentation and Writeups
Definitive engineering scope blueprints that eliminate developer confusion.
Explore Blueprint
VER-TECH
Jumpstart Scaling · Revenue blueprint
Stop guessing. Start scaling.
Predictable revenue systems for businesses doing $1M-$10M ARR
The Ecosystem
We supercharge your stack.
JS
HubSpot
Google
Meta
Shopify
TikTok
The Math Behind a Revenue System
A modeled example. Change any input to match your business.
Modeled example, not a client result
| New leads per month (assumed) | 400 |
| Share that book a call (assumed 25%) | 100 calls |
| Share of calls that become customers (assumed 20%) | 20 customers |
| Average first-year value (assumed $3,000) | $60,000 |
400 x 0.25 = 100. 100 x 0.20 = 20. 20 x $3,000 = $60,000. The point is the structure: each step has one rate, and you can measure each one. These inputs are not a forecast.
Modeled scenarioFast-growing startups and small software teams
A worked example for fast-growing startups and small software teams
Picture a software company with a 14-day free trial. A team pays a lot for developers and the product still breaks. Often the cause is no tests, no clear owner, and fixes stacked on fixes. A short audit finds the few things that break most.
The funnel is mapped from ad click to first key action, and each step is asked to do one thing. The goal is to find the one step that loses the most people.
What AI does
Assist only: help read logs and suggest a fix, which an engineer reviews. AI-written code needs the same review as any other.
Where AI fitsNo AI needed
No AI needed for the first pass. It is event counts and a clear page.
Modeled scenario
These are assumed inputs run through the same formula as our Mortgage Lead to Close Ratio Calculator. They are not a forecast and not a client result.
| Input | Assumed value |
|---|---|
| Leads per month | 2,000 |
| Reached (%) | 45% |
| Qualified (%) | 35% |
| Finished (%) | 20% |
| Value of one finished deal | $600 |
| Result | As assumed | If reached is 55% |
|---|---|---|
| Reached | 900 | 1,100 |
| Qualified | 315 | 385 |
| Finished | 63 | 77 |
| Gross value per month | $37,800 | $46,200 |
| Value per lead | $18.9 | $23.1 |
Moving “Reached” from 45% to 55% changes “gross value per month” from $37,800 to $46,200, a difference of +$8,400.
Early drop-off is usually the largest, so the first step is the one to test first.
Formula: step 1 = leads x contact rate; step 2 = step 1 x qualify rate; step 3 = step 2 x finish rate; gross = step 3 x value
Method: the inputs are our assumptions for a software company with a 14-day free trial, chosen to be plausible, not measured. Change them to your own numbers in the calculator and the same formula applies.
The plan
- Count visitors, sign-ups, activations, and paid accounts for the last 90 days.
- Pick the largest drop and rewrite that one step. Change nothing else.
- Run the new step against the old for a set period and compare.
What we would track
- Step-by-step conversion
- Time from sign-up to first key action
- Paid conversion of those who reach the key action
Risks to plan for
- Changing many steps at once hides what worked.
- Traffic mix changes can look like funnel changes.