New business
Revenue from customers new to the company portfolio.
Commercial growth analytics
Is your new growth actually new?
Product-level growth can look impressive while hiding customer migration, plan changes, channel shifts, and cannibalization elsewhere in the portfolio.
I help multi-product businesses determine whether reported growth is truly incremental or reflects movement between existing products, plans, accounts, and channels.
A fixed-scope engagement
The Incremental Growth Audit
A focused account-level analysis that separates real portfolio growth from revenue moving inside the business.
Designed for leaders evaluating a launch, portfolio shift, pricing move, plan migration, or channel change—and who need a clear commercial answer without commissioning a broad transformation program.
Organic expansion
More total spend from customers already in the portfolio.
Reactivation
Revenue returning after a period of inactivity.
Contraction
Reduced total spend from continuing customers.
Churn
Revenue lost when customers leave the portfolio.
Product switching
Spend that moves between products, plans, or channels.
Net incremental growth
The portfolio-level change after all movements are reconciled.
Synthetic case studies
Choose the situation that looks most like yours.
The same account-level logic applies across launches, subscription tiers, and changing portfolios. Start with the commercial question you need to answer.
01 · Product launch
Did the launch grow the portfolio?
Product C reported $2M in sales. How much was genuinely incremental?
Reported$2MNet incremental$1.1M
The $2M launch analysis 02 · SaaS tier
Is the premium tier growing—or the company?
Separate new ARR from Standard-tier upgrades, downgrades, and churn.
Premium ARR$3MNet incremental$500K
The premium-tier analysis 03 · Changing portfolio
Where did revenue come from—and where did it go?
Trace revenue across established, premium, value, and newly launched products.
Portfolio growth$2MUnderlying movement$3.7M
The portfolio migration analysis All examples use synthetic data. Choose by business situation; each analysis reconciles destination-product performance with company-level impact.
Founder
Andrew Salzwedel
Incremental Signal is led by Andrew Salzwedel, a data scientist with a PhD and experience translating account-level commercial data into decisions about growth, customer behavior, forecasting, and portfolio performance. The work combines rigorous analytical methods with decision-ready commercial interpretation.
Simple by design
From transaction data to a decision.
Data-fit review
A 20-minute conversation to confirm the question, grain, and usable history.
Secure transaction export
You provide the minimum account-level transaction data required for the analysis.
Analysis
Revenue is reconciled across accounts, products, periods, and movement categories.
Executive findings
A decision-ready readout separates reported product performance from portfolio impact.
Start with the data
Find the signal inside the headline number.
A short conversation is enough to assess whether your transaction history can answer the question.
Request a 20-minute data-fit conversation