Understand delivery cost
Identify the labor, materials, commissions, subcontractors, and other costs associated with delivering the service or product.
Find out whether your prices reflect the actual labor, overhead, capacity, and margin your business needs. Didymus Analytics uses the numbers you already have to make pricing decisions more grounded and less dependent on competitor prices or gut feel.
A useful pricing analysis starts with the actual work required to deliver what you sell. Labor, overhead, capacity, and target margin provide a clearer basis for deciding whether a price works and where it may need attention.
Identify the labor, materials, commissions, subcontractors, and other costs associated with delivering the service or product.
For service businesses, compare what each booked hour or unit of capacity produces—not only the sticker price.
See what the existing price leaves after relevant costs and compare that result with the margin the business needs.
This example is illustrative, not client data. It shows why price, time, and delivery cost should be considered together.
Custom projects bring in the most revenue but much less profit than the maintenance plans. Rush work is losing money. That can change pricing, sales emphasis, staffing, or which work the business accepts.
The scope depends on the question and the data available. The goal is a focused analysis you can understand and use—not a complicated pricing system.
Compare the current price with the labor, overhead, capacity, and target margin associated with delivering the work.
For appointment and service businesses, economics per booked hour can reveal differences that price per appointment alone does not show.
Actual labor, rework, materials, subcontractors, and other delivery costs can be compared with the price to see whether special work is producing the intended margin.
No. The first step can often use the information already in invoices, bookkeeping records, calendars, job records, POS exports, or spreadsheets.
Bring that question to a free, no-pitch 30-minute conversation. We will look at the data you already have and decide whether a focused analytics engagement can answer it.