Find the Revenue Gap Your Team Keeps Working Around | Conversion System

Conversion System

Revenue gaps fixed with AI systems

Move one revenue number with AI.

Start with the slow follow-up, broken handoff, weak offer page, messy CRM, or blind spot your team already knows is costing money. We find the gap, prove the route, and build only what can move the number.

Documented revenue movement across The Flower Shop and Purple Lotus, plus operating proof from Riverbed Dental and GreenSoul.

Apply for a Revenue Audit See the Proof

The first move

Revenue Audit before the sprint.

We inspect the buyer path before we pitch the build. The audit names the gap, the revenue metric, the owner, and the next system worth shipping.

Revenue Audit applications are free and reviewed weekly. Paid Revenue Audits default to $2,500; Revenue System Sprints are planned after proof, usually $50K-$150K fixed scope.

Input: Your funnel, CRM, traffic, offers, and handoffs
Output: A ranked revenue-gap map and build recommendation
Decision: Fix now, gather proof, or wait
Then: Only sprint when the upside clears the build

Documented receipt

documented receipts

The Flower Shop and Purple Lotus revenue proof, caveated and reviewable

Search system

1,100+

GreenSoul ranking keywords from compounding content work

B2B operations

3 to 11

booked per week

Riverbed Dental booking workflow, same lead volume and staff

Audit rule

1 path

one buyer path chosen before anything gets built

One offer, one job

Most teams do not need more AI ideas.

They need one broken revenue path fixed.

Leads are not followed up fast enough. Sales teams waste time on the wrong prospects. Website traffic does not turn into calls. CRM data is messy. Marketing cannot prove what is working. The Revenue System Sprint fixes one of those problems at a time.

1 metric: chosen before build
3 routes: mapped and ranked
CRM-ready: events and fields
Weekly: movement review

Instead of

Scattered AI work

We ship

One usable revenue system

Apply for a Revenue Audit

Pick the number

We do not sell AI. We sell movement.

The work starts by choosing the business number that exposes where money is getting stuck. If the number cannot be translated into revenue, margin, acquisition cost, or retained customer value, we do not build around it.

Pipeline dollars per day

Use opportunities, deal value, win rate, and cycle length to see how much revenue the pipeline creates each day.

Qualified pipeline coverage

Measure qualified open pipeline against the next-period revenue target so growth gaps show up before the month closes.

CAC payback

Connect acquisition spend, close rate, deal value, and gross margin so the business knows when new customers pay back.

Revenue per qualified opportunity

Track closed-won revenue divided by qualified opportunities so sales quality, offer match, follow-up, and close rate are judged together.

Contribution margin per order or deal

Tie conversion, AOV or deal size, discounting, fulfillment cost, fees, returns, and acquisition cost to the dollars the business actually keeps.

Repeat purchase / expansion revenue

Measure reorder, retention, upsell, or expansion dollars from existing customers before buying more demand.

What gets built

Strategy, agents, and custom systems in one focused build.

Revenue audit

We map the funnel, CRM, follow-up, traffic, and handoffs to identify the highest-leverage fix.

AI strategy map

We define the revenue metric, the system architecture, the decision rules, and the minimum build required.

AI agent or automation workflow

We deploy the agent, handoff logic, enrichment, qualification, follow-up, or workflow layer that moves the number.

CRM and data integration

We connect forms, chat, calendar, CRM, attribution, notifications, and dashboard events.

Conversion path repair

We improve the page, form, script, message, or handoff where buyers are getting stuck.

Dashboard and handoff

You see what we see: starts, submissions, booked calls, qualified leads, and the agreed revenue metric.

Who should apply

Readiness matters.

You already have traffic, leads, customers, or sales activity.
You can name the revenue metric you want to move.
Your team can make decisions quickly and give access to the stack.
The upside of fixing the problem is worth more than the project.

Who should not

We are not the right team for vague experiments.

Pre-revenue startup with no funnel volume.
Team shopping for generic AI tool recommendations.
Company that cannot connect us to CRM, analytics, or decision-makers.
Business without a metric that matters enough to measure weekly.

Client and technical proof

Receipts behind the numbers.

View Proof Ledger

Cannabis retail

The Flower Shop

$1.95M/mo

Monthly revenue case study with organic, SEO, and multi-state growth context.

Organic growth

GreenSoul

1,100+

Ranking keyword proof for content, search, and compounding traffic systems.

Documented proof

Purple Lotus

$27M/yr

Documented cannabis revenue operations proof.

B2B operations

Riverbed Dental

3 to 11

Booked appointments per week after an SMS-first SDR cadence and AI-routed objection handling.

Technical B2B

AI Infrastructure

5 paths

Scorecard and proof-support pages for cooling, power/BESS, fiber, commissioning/EPC, and modular data-center buyers.

Next step

Find the revenue gap.

We will look for the revenue gap, name the outcome worth improving, and tell you whether a focused build makes sense. If the path is too vague or the upside does not clear the work, we will say no.

Apply for a Revenue Audit View the Sprint

Quick answer

What does Conversion System do for B2B SaaS at $5-50M ARR?

Conversion System is an AI agency that finds the broken revenue path in your funnel, proves the gap with a 12-minute benchmark, and ships the AI agents, CRM automations, dashboards, and per-post attribution layers that move one named metric. The 30-page benchmark report scores teams across 10 dimensions of AI marketing maturity; the top three predictors of pipeline impact are workflow orchestration (15% weight), ROI measurement (12% weight), and per-post attribution (11% weight). 8% of marketing teams currently orchestrate AI workflows end-to-end across tools and teams (NinjaCat 2026 AI Maturity in Marketing). The rest are buying tools that sit in isolation.

Methodology

How we source the claims on this page

The receipts on this page are named clients with named outcomes inside specific date ranges. The Flower Shop revenue figure ($1.95M / month) is the monthly recurring revenue produced after the orchestrated AI workflows we built for them shipped in 2025. The Purple Lotus engagement ($27M / year) is the documented annual revenue post our operations rebuild. GreenSoul's 1,100+ ranking keywords trace to the SEO/GEO content engine we operate against the editorial guardrails in docs/blog/editorial-guardrails.md.

The 8% benchmark statistic is from a third-party report; the receipts are first-party engagements. We separate the two sources of authority deliberately so a finance lead can audit each independently. Where a stat appears with a vendor or analyst attribution, the linked source is the primary publisher (not a marketing blog).

Primary sources

NinjaCat 2026 AI Maturity in Marketing report. survey of 1,000 marketing teams, Q1 2026
McKinsey Marketing & Sales Operations. reference framework for revenue-operations maturity
Harvard Business Review on decision rights. decision-rights model applied to workflow ownership
Conversion System editorial guardrails. voice + sourcing rules for every claim we publish

Last updated: 2026-05-28. We re-audit quarterly.