The 9 Lever System runs The Revenue Architect itself. It also runs in production on a client mortgage brokerage and has been deployed as a single-lever Content Machine engagement on two more client accounts. Every number below is from a live analytics dashboard. Client identifiers withheld. Metrics verified.
The 9 Lever System runs The Revenue Architect itself. Same SEO infrastructure, same GHL pipeline, same content machine, same attribution stack we install for clients — TRA is built on it. The system also runs in production on a client mortgage brokerage with all 9 levers actively flowing (Google Ads live, Meta campaigns held pending VSL relaunch). A second client account runs a multi-lever subset of the stack, and a third ran a focused Content Machine deployment. When the content layer alone produces the numbers below, the compounding question is obvious: what does the full stack do when all 9 fire together? That's what TRA installs.
A licensed Ontario mortgage brokerage. Before we came in: zero Google Business Profile presence. Three to four missed after-hours calls per week. No pipeline automations. No content library. No attribution. The brokerage had a website and a phone number. That was the entire marketing infrastructure. We installed all 9 levers in production — and the paid traffic lever is live on Google Ads while Meta campaigns sit on standby pending VSL relaunch.
Before the installNo GBP presence — not claimed, not optimized, invisible in Local Pack. Three to four after-hours calls per week were hitting voicemail and not getting returned — roughly 150 to 200 lost inbound touchpoints per year in a category where a single funded file is worth thousands in broker commission. No CRM pipeline, no follow-up automation, no content library. Marketing effort was fragmented across tools that didn't talk to each other.
What got installedThe full 9-Lever build: multi-page SEO site with location pages, full Google Business Profile optimization, AI after-hours phone agent (Aria — seven-section prompt, GHL-wired), cold outreach infrastructure, content machine with shoot-and-clip production, VSL + funnel landing page, complete GHL pipeline with stage automations and LC Phone routing, Hyros attribution across every touchpoint, client hub with live data feeds. Google Ads campaigns running and driving traffic today. Meta campaigns built, pixels firing, Hyros layered — held on standby for VSL relaunch.
All 9 levers operating in integrated production on a real mortgage brokerage. The after-hours leak is sealed. The GBP that didn't exist is compounding Local Pack traffic on thirteen legitimate reviews. Paid traffic is live — 2,600 impressions driving 313 qualified site visitors, 10% of whom book a call at $4K average contract value. Organic traffic growing month-over-month in parallel. The pipeline that didn't exist is routing every inbound touchpoint through documented stages with automations. Attribution produces a five-numbers scoreboard every Friday. The numbers are still conservative — this performance is pre-VSL. The VSL relaunch unlocks Meta Ads and measurably lifts conversion on every traffic source already flowing. This is the install TRA ships, running on a real client business with real revenue on the line.
A small automotive/enthusiast brand came to us with near-zero organic reach and a struggle to break out of their existing follower base. The engagement runs multiple levers of the 9-Lever stack — the Content Machine metrics shown below are the cleanest standalone proof of what one lever does when wired into the rest of the system. The content layer was designed to pull cold audience attention at scale from a small base, with downstream levers routing that attention into measurable business outcomes.
The Content Machine produces real cold-audience reach on a small account. 99.5% of views came from non-followers — meaning the content wasn't just feeding the existing base, it was actively expanding it. Top-performing pieces hit 4.3K, 2.8K, 2.5K on Reels. This is what the Content Machine produces as measurable output. The other levers in the install — attribution, pipeline, follow-up — convert that attention into contracts, which is what the integrated system is designed to do.


A domain-expert public figure with deep subject-matter credibility and an almost non-existent short-form presence — about 74 followers on the platform where the content would run. Established authority, zero algorithm reach. The ask was again content-only: deploy the Content Machine and see what happens when a real subject-matter expert gets properly packaged for short-form.
Supporting metrics: 48,600 interactions in 30 days. 34,000 likes and 4,493 shares on TikTok in 60 days. Top-performing pieces hit 225K, 208K, 87K, 81K, 78K, 77K views individually. 88 pieces of content produced. 5.6K net new followers on IG alone in 30 days.
What this provesThe Content Machine can take a credentialed expert with zero algorithm presence and compress years of audience-building into 60 days. From 74 followers to 5,175 is a 69x growth rate over two months — which is approximately the growth rate the platforms tell you is statistically impossible for an organic account. Again, this is a single-lever deployment. Imagine what the architecture produces when content feeds into a conversion funnel that routes attention into pipeline — which is what the full 9-lever install does by default.




Two Instagram Professional Dashboards. Same platform, same calendar range. The only variable is whether the Content Machine is running underneath.


Same platform. Same calendar window. Different infrastructure underneath. Every delta in the numbers is a function of whether the system is deployed — not of the operator's effort, intent, or willingness to post.
Every case above is a single lever of the 9 Lever System operating alone. The Content Machine producing reach with no SEO funnel beneath it, no paid amplification layered on top, no cold outreach compounding the distribution, no pipeline to route attention into deals, no AI phone agent catching after-hours inbound, no follow-up sequences recovering the 40% who don't book first touch. When all 9 install together, every view that the Content Machine produces enters infrastructure designed to convert it. That is the install TRA ships.