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Pricing

6 articles on pricing.

Traffic OS — a rate sheet review meeting in a small contractor's office

Aug 29, 2026

Raising Rates With Existing Customers Without Losing Them

Rate sheets go stale quietly while wages, insurance, and device replacement costs do not. How to time an increase, what evidence to bring, and how to structure it so the customer can say yes.

Traffic OS — working out the true cost of field service software for a traffic control company

Aug 29, 2026

The Real Cost of Traffic Control Software: A Total Cost of Ownership Breakdown

Sticker price is the smallest line. Seats, setup fees, payment processing, add-ons, integrations, and the cost of the crew not using it — worked through with published 2026 pricing.

Traffic OS — traffic control rate sheet attached to a master service agreement

Aug 23, 2026

Master Service Agreements and Rate Sheets for Traffic Control Work

Why repeat customers want an MSA with an attached rate sheet instead of a quote per call-out, what belongs on the rate sheet, and how to keep three customers with three different price books straight.

Traffic OS — traffic control crew on standby at a staged job site

Aug 23, 2026

Pricing Standby, Show-Up Time, and Cancellations on Traffic Control Jobs

The three situations that eat unbilled hours — cancelled on arrival, held on site, released early — and how to put minimums, show-up pay, and cancellation windows in the rate sheet before the argument starts.

Traffic OS — How to price traffic control device rental rates

Jul 25, 2026

How to Price Traffic Control Device Rental Rates

Device rental pricing is an asset-return problem, not a market-matching exercise. Here is how to build a rate from replacement cost, utilization, and loss — and why most published rates are unusable.

Traffic OS — Per-user vs flat-tier software pricing

Jul 21, 2026

Per-User vs Flat-Tier Software Pricing for Traffic Control Companies

Why per-seat software pricing fits traffic control badly, what it quietly does to your field data, and how to model both structures against peak-season headcount.