Fractional CDO & Data Revenue Leader

You're running a
real business
on gut feel.

I help founders and operators of $3M–$30M companies turn the data they already have into decisions that grow revenue — without the $250K salary of a full-time data executive.

$25M+
Found inside one company
95%
Forecast accuracy achieved
85%
Less time making reports
25yr
Revenue + data experience
Data-driven SMBs grow 23% faster than competitors still running on manual reporting and gut feel.McKinsey
Analytics delivers $13 back for every $1 spent — the highest ROI of any business technology investment.Nucleus Research
67% of small businesses still track performance manually in spreadsheets. Their competitors don't.Capterra 2025
41% of SMBs made at least one major decision last quarter based on data that turned out to be wrong.Salesforce SMB Trends Report
Automated dashboards deliver 340% ROI in the first year for businesses in the 5–50 employee range.Salesforce 2025 SMB Trends Report
Companies tracking analytics ROI see up to 20% higher profit margins than those that don't measure outcomes.McKinsey
Over $5M lost annually by the average organization due to poor data quality — more at smaller companies on a per-revenue basis.IBM Institute for Business Value
Data-driven companies are 19x more profitable and 6x more likely to retain customers than those making decisions on instinct.McKinsey Global Institute
Data-driven SMBs grow 23% faster than competitors still running on manual reporting and gut feel.McKinsey
Analytics delivers $13 back for every $1 spent — the highest ROI of any business technology investment.Nucleus Research
67% of small businesses still track performance manually in spreadsheets. Their competitors don't.Capterra 2025
41% of SMBs made at least one major decision last quarter based on data that turned out to be wrong.Salesforce SMB Trends Report
Automated dashboards deliver 340% ROI in the first year for businesses in the 5–50 employee range.Salesforce 2025 SMB Trends Report
Companies tracking analytics ROI see up to 20% higher profit margins than those that don't measure outcomes.McKinsey
Over $5M lost annually by the average organization due to poor data quality — more at smaller companies on a per-revenue basis.IBM Institute for Business Value
Data-driven companies are 19x more profitable and 6x more likely to retain customers than those making decisions on instinct.McKinsey Global Institute
Who This Is For

You have data.
Nobody's using it.

Small business owner reviewing data analytics dashboard
  • Your team runs reports. Leadership doesn't act on them.
  • You make pricing decisions based on what felt right last quarter.
  • Customers leave and you find out 60 days later.
  • You've spent on marketing for years and still can't say which dollar worked.
  • You know a full-time data exec would change things. You can't justify $200K yet.
  • You're making million-dollar decisions with information you're not sure you trust.

"I spent 25 years in ad sales learning how money moves through businesses. Then I taught myself to build the systems that explain why it moves. Most data people have never carried a quota. I have."

— Joe Malone
Documented Results

Revenue impact.
Not slide decks.

Every engagement is measured in dollars, not deliverables. Toggle above to see the technical detail behind each result.

Operations & Procurement
$25M+
Found inside the supply chain

The company was choosing suppliers the same way it always had — relationships and habit. We replaced that with a scoring system built on 50,000 past decisions. $25 million stayed in the company instead of going to the wrong vendors.

Built a probabilistic vendor scoring matrix analyzing 50,000+ historical procurement records across cost, quality, and delivery variables using Python. Deployed enterprise-wide via automated ETL pipeline to 200+ users across frontline and C-suite. Reduced procurement variance by measurable margin quarter-over-quarter.

Revenue Forecasting
95%
The CFO stopped guessing

Finance was guessing next quarter's revenue based on last year's numbers and instinct. We built a system that pulls 15 live data sources every morning and produces a forecast accurate to within 5%. Budget conversations changed overnight.

Engineered automated forecasting engine processing 15+ daily data feeds from data warehouse, ERP, and market sources via Python ETL pipelines. Achieved 95% prediction accuracy with 30% reduction in forecast variance. Integrated Power BI executive dashboard with role-based access for 200+ users.

Customer Retention
+15%
They called before customers left

The company only knew a customer was at risk after they'd already gone quiet. We built an early warning system that flags at-risk accounts 60 days before they leave. The sales team started calling them first. Retention went up 15%.

Implemented ML churn prediction model using behavioral transaction features with scikit-learn, achieving 88% classification accuracy via cross-validated precision-recall optimization. Integrated output as automated weekly CRM alert pipeline enabling proactive account intervention at scale.

Where This Works

The right fit is a
founder who feels it.

Industry matters less than stage. If you're running a real business and your data isn't working as hard as you are — we should talk.

Small business owner using data analytics to grow revenue
E-commerce & DTC
Multi-location restaurants
Independent retail chains
Med spa & wellness
Property management
Boutique hospitality
Local service businesses
Media & content
SaaS under $30M ARR
Ad tech & attribution

The common thread: you have customer data, transaction data, and marketing spend — and no one has connected them to a revenue decision you can act on.

How We Work Together

Senior data leadership.
Without the overhead.

Three ways to engage. Each priced against the real alternative — a full-time hire at $150K–$250K you're not ready to make.

Data Assessment
$2,500
One-time · 2 weeks

Not sure where to start? Start here.

We spend two weeks mapping your data landscape, finding where the revenue is hiding, and building a 90-day roadmap. You walk away with a clear plan — whether you hire me to execute it or not.

Two-week data architecture assessment covering source system inventory, pipeline integrity evaluation, analytical coverage gap analysis, and revenue attribution blind spot identification. Deliverable: executive data strategy memo and prioritized 90-day technical roadmap.

  • Full audit of your current data sources
  • Revenue opportunity identification
  • 90-day prioritized roadmap
  • Executive presentation of findings
  • 45-day follow-up call included
Start Here
Project Work
$250
Per hour · Defined scope

A specific problem. A specific solution.

You know what you need built. A system that predicts which customers are leaving. A dashboard your CFO will actually open. A pipeline that stops breaking every month. Define the outcome — I'll build it.

Scoped technical delivery against fixed SOW with milestone-based delivery. Capabilities: churn and LTV predictive modeling, revenue and demand forecasting engines, ETL pipeline architecture, data warehouse design and build, customer segmentation, attribution and marketing mix analytics, Power BI dashboard development.

  • Customer churn and retention models
  • Revenue and demand forecasting
  • Attribution and marketing analytics
  • Executive dashboard development
  • ETL pipeline design and build
  • Data warehouse architecture
Discuss Your Project
The Background

The data person who
thinks like a founder.

Joe Malone fractional CDO and data analytics consultant Los Angeles
Data Analyst — Careismatic Brands
2024–Present · $25M+ savings · 95% forecast accuracy · ML models in production
Founder — nAIghborly
2026 · Local commerce attribution platform · RAG + LLM deployment · POS API integrations
25 Years in Ad Sales & Revenue
Entertainment · Automotive · Ecommerce · SaaS · $1.5M+ annual revenue managed
Real Estate Investor — 15 Years
$3M peak portfolio · Ground-up development · Full P&L ownership

I spent 25 years in ad sales — managing millions in annual revenue across entertainment, automotive, and ecommerce — before teaching myself Python and SQL to build the systems I used to just read the outputs of.

That path makes me different. Most data people have never carried a quota or defended a revenue number in front of a CFO. Most salespeople can't build a machine learning model. The executives who get the most from their data are the ones whose data leader can sit in both rooms.

I've generated $25M+ in procurement savings, built forecasting engines accurate to 95%, and deployed systems that improved customer retention by 15%. I've also founded companies, managed P&Ls, and made payroll. I understand what data needs to do inside a real business — not just inside a dashboard.

I work with a small number of companies at any given time. Not because I have to — because the work is better that way. If you're a founder or operator who knows their data should be doing more, let's spend 30 minutes on it.

joe@getjoemalone.com
Get In Touch

30 minutes.
No pitch. No deck.

Tell me what you're trying to figure out. I'll tell you honestly whether I can help — and if I can't, I'll point you to who can.

Email Joe Directly

Or reach out at joe@getjoemalone.com — response within 24 hours.