SHT D-01 · Data
Decisions on numbers, not gut feel
Financial analysis and forecasting for main-street businesses: where clients churn, which jobs actually make money, and what next quarter should look like — answered from your real numbers, not gut feel.
Fortune 500 companies employ teams of analysts to answer questions like: which customers are about to leave? Which jobs actually make money after labor? What should next quarter look like? Main-street businesses have the same questions — and their data usually holds the answers.
Knoxline is run by a working data scientist, and this is the service where that shows most. We take your real records — sales, clients, jobs, costs — and produce analysis you can act on: retention studies that show exactly where and why clients leave, forecasts grounded in your actual trend lines, and margin audits that reveal which work deserves more of your calendar. When those answers need to stay visible instead of living in a one-time study, we turn them into live dashboards and automated reporting.
- Client retention & churn studies
- Revenue forecasting
- Margin & pricing audits
- Marketing attribution & CAC analysis
- One-time studies or ongoing analysis
The gap
The questions your data can already answer
Large companies pay analyst teams to answer questions small businesses face every day. The data is usually already there; nobody has time to dig into it.
- Who is about to leave?. Churn shows up in the numbers before the cancellation does.
- Which work actually makes money?. Revenue isn't profit. Some job types quietly lose money after labor and materials.
- What will next quarter look like?. A forecast based on real trends beats a gut feeling.
- Which marketing pays off?. Cost per customer by source, not just cost per click.
Knoxline is run by a working data scientist, and this is where that shows most.
The build
What an analysis can include
Retention & churn studies
Who leaves, when and why, and the patterns that come before it.
Revenue forecasting
Projections grounded in your actual trend lines and seasonality.
Margin & pricing audits
Which jobs, products or services deserve more of your calendar, and which deserve a price change.
Marketing attribution
What each customer actually costs by channel, tied back to real revenue.
The process
How an analysis project works
30-minute call
We agree on the question worth answering first.
Gather the data
Exports or API access from your CRM, accounting and marketing tools.
Analyze
We clean the data, run the analysis and test the findings against what you know.
Deliver
A plain-English write-up with recommendations, and an optional live dashboard to keep tracking it.
See a retention study in context: how a coaching company scaled from 150 to 350 active clients.
Common questions
Data & financial analysis FAQ
What data do you need?
Whatever you already have: CRM records, sales, payroll, accounting exports or ad data. We'll tell you on a call if it's enough to answer your question.
Is this a one-time project or ongoing?
Either. Many clients start with a one-time study and turn the most useful numbers into a live dashboard.
Will we understand the results?
Yes. Every analysis comes with a plain-English summary and specific recommendations, not just charts.
Is our data kept private?
Yes. Your data is used only for your analysis, and we're happy to sign an NDA.
What does it cost?
Analysis projects are scoped and quoted up front after a 30-minute call.
Start here
Sound like your operation?
A 30-minute call, no pitch deck. We'll tell you honestly whether it's a project, a retainer, or something you can fix yourself.