REVENUE ANALYTICS · LEADERSHIP AND EXECUTION
Revenue analytics your board believes. Workflows your team can run.
I build the forecasting, pipeline, and account analytics B2B revenue leaders run the business on. It shows what will close, what is at risk, and what to do about it. Then I automate the reporting with AI and hand it to your team.
13 years advising C-level GTM leaders at Fortune 50, PE-backed, and high-growth companies, public and private.
THE PROBLEM
You have dashboards. You don't have answers.
Most revenue teams are not short on data. They are short on analysis leadership trusts, delivered on a rhythm they can act on.
The forecast is a negotiation.
Rep commit, manager judgment, and the CFO's model all disagree. Nobody can explain the gap until the quarter is over.
Reports describe. They don't prescribe.
You can see pipeline is down. You can't see which deals or accounts are at risk, why, or what to do about it on Monday.
The insight lives in one person.
One analyst. One spreadsheet. One point of failure. When they leave, the reporting breaks and the logic leaves with them.
WHAT I DO
Revenue analytics leadership, from the model to the Monday meeting.
See the risk early. Act before revenue is lost.
Slippage and stall signals across open pipeline. Renewal, contraction, and churn risk across your current customers. Every flagged risk comes with a mitigation play and an owner, so leaders get a weekly action list, not another report.
A forecast you can defend in the boardroom.
Rep commit, stage-weighted pipeline, and a quantitative model built on your own conversion history. Three views. One number. A clear explanation when they disagree.
Find where deals actually stall.
Stage duration benchmarks, conversion rates, and win-rate drivers by segment, source, and rep. The work behind shorter sales cycles and higher win rates.
Point reps at accounts that close.
An ICP built from closed-won, expansion, and churn data. Fit and intent signals scored and routed into territories and account priorities.
Turn analysis into an operating rhythm.
Scorecards, inspection cadences, and forecast calls designed so leaders act on the numbers instead of arguing about them.
AI ANALYTICS WORKFLOWS
I build it with AI. Then I hand you the keys.
Every engagement leaves behind working AI workflows for the reporting and analysis your team repeats every week. They run on tools you already pay for. They come documented. Your people are trained to run them before I step back.
I have built these inside operating roles: CRM, product, and competitor data turned into rep-level account plans, and reporting automations run against a company data lake.
Automated weekly reporting
Forecast roll-ups, pipeline health, risk flags, and executive summaries drafted from live data on a set schedule.
A documented workflow library
Every prompt, query, and metric definition written down and versioned. Nothing is a black box.
Runbooks and training
Your RevOps or analytics team runs the workflows without me. Training happens on your data, not a demo.
Guardrails
Human review points, data access rules, and reconciliation checks. No number reaches the board unverified.
HOW IT WORKS
Four steps. One handoff.
- 01 · DIAGNOSE
Find the real gap.
A free 30-minute call, then a fixed-fee analytics diagnostic. You get findings, priorities, and a build plan.
- 02 · BUILD
Rebuild the analytics.
Metric definitions, models, and risk views organized around the decisions your leadership team actually makes.
- 03 · AUTOMATE
Make it repeatable.
Recurring reporting and analysis become AI workflows with review points built in.
- 04 · HAND OFF
Your team runs it.
Documentation, training, and a [SUPPORT WINDOW] support period. Ongoing advisory is optional, not required.
RESULTS
Measured in the operating seat.
These outcomes come from revenue analytics and operations work I led inside B2B companies.
Quantitative forecast architecture measured against actuals. [COMPANY TYPE, PERIOD]
Predictive pipeline models applied across a SaaS book of business. [COMPANY TYPE, PERIOD]
Enterprise approval and governance redesign without giving up margin discipline. [COMPANY TYPE, PERIOD]
Up from the mid-40s in 12 months after building the first enterprise deal desk at a PE-backed SaaS company.
WHO YOU WORK WITH
Before I built forecast models, I carried a quota.
I'm Michael Crowder, founder of RevSpan Advisors. I have spent 13 years in sales, deal desk, forecasting, and revenue operations leadership, including P&L responsibility and teams of 20. I know what a CRM says and what a quarter actually delivers. I build analytics that close that gap.
M.S. in Data Science, Southern Methodist University. B.B.A. in Economics, University of Oklahoma. When you hire RevSpan, you work with me on every call and every deliverable.
RevSpan Advisors at a glance
- FIRM
- RevSpan Advisors LLC, a revenue analytics consultancy
- FOUNDER
- Michael Crowder
- BASED IN
- Plano, Texas. Serving clients across the US.
- FOCUS
- Forecasting, pipeline and account risk, ICP and intent signals, revenue management systems, and AI reporting workflows
- CLIENTS
- B2B companies with $15M+ in annual revenue
- EXPERIENCE
- 13 years advising C-level GTM leaders at Fortune 50, PE-backed, and high-growth companies
QUESTIONS
Straight answers.
What does a revenue analytics consultant do?
A revenue analytics consultant designs how a company measures, forecasts, and manages revenue. At RevSpan Advisors, that means building the forecast model, pipeline and account risk analytics, and management cadence, then automating the recurring reporting so the client's own team can run it.
What is revenue analytics?
Revenue analytics is the measurement and modeling of how a company creates and keeps revenue: pipeline, conversion, velocity, win rates, forecast accuracy, retention, and expansion. Done well, it tells leaders what will close, what is at risk, why, and what to do about it.
What is a triangulated forecast?
A triangulated forecast compares three independent views of the quarter: the sales team's commit, a stage-weighted pipeline calculation, and a statistical model built on historical conversion and timing. When the three agree, confidence is high. When they diverge, the gap points to the deals, segments, or assumptions to inspect.
How do you find and reduce risk in the pipeline and the customer base?
Risk shows up in the data before it shows up in the forecast. Open deals are scored for slippage and stall signals. Current accounts are scored for renewal, contraction, and churn risk using usage, engagement, and support trends. Every flagged risk gets a mitigation play and an owner, so the output is a weekly action list, not another report.
Who is RevSpan Advisors for?
B2B companies with $15M or more in annual revenue, at least five quota-carrying reps, and two or more years of CRM history. Clients are often PE-backed or venture-backed. Common triggers are a forecast miss, a board asking harder questions, or an analyst who just resigned.
How is this different from hiring an analyst?
An analyst runs reports. A revenue analytics leader designs the system: what leadership should measure, how the forecast is built, where risk is flagged, and which work gets automated. Your analyst then runs a better system.
What happens to the AI workflows when the engagement ends?
You keep them. They run in your accounts, on your data, with your team trained to operate and change them. Nothing depends on my login.
How is our data protected?
Work happens under NDA with the least access needed. AI tools are configured to your security and data policies, and sensitive fields stay out of prompts.
Bring me the number you can't explain.
Thirty minutes. No pitch. You'll leave knowing where the risk is, whether we work together or not.
Book a 30-minute call