ProfitLens helps contractors learn from completed jobs so future pricing gets sharper.
This walkthrough shows how exported job history turns into service ranking, Public Market Benchmark context, missed-margin detection, and estimate-vs-actual learning.
What to understand first
Step 1
Set up your company economics
Enter your target margin, monthly overhead, ZIP code, and employee cost so ProfitLens starts with numbers that reflect reality.
Step 2
Upload exported data
Bring in revenue first, then layer in labor, materials, and subcontractor costs. The more complete the input, the sharper the margin guidance.
Step 3
Act on the strongest signals
See pricing pressure, public market benchmark context, low-margin customers, and service lines that deserve more attention.
Sample dashboard preview
A clean preview of the decisions an owner would get back
Revenue
$84,240
Last 90 days
Net profit
$23,980
28.5% margin
Overhead / labor hr
$20
Normalized for realistic margins
Service margin snapshot
Drain cleaning
44 jobsSprinkler repair
28 jobsFence installs
18 jobsCost mix
Sample insights
Inputs and outputs
Simple inputs go in. Decision-ready views come out.
What you upload
Job revenue, labor hours, materials, and subcontractor spend tied back to the same job IDs.
What you see
Job margin, service ranking, pricing floors, estimate drift, public benchmark context, and customers worth reviewing.
Why it helps
Instead of relying on memory or scattered spreadsheets, you can see exactly where pricing assumptions held up and where they missed.
Public Market Benchmark
How ProfitLens builds local market context without using private contractor data
Public Market Benchmark starts with U.S. Census ZIP geography, applies BEA Regional Price Parities to model local cost pressure, and uses BLS trade wage baselines to estimate labor-sensitive price floors by service. It does not use customer-submitted ProfitLens data.
Public Market Benchmark uses public data from the U.S. Census Bureau, U.S. Bureau of Economic Analysis, and U.S. Bureau of Labor Statistics. This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.
Why this matters
The real value is learning what to charge next from what already happened.
Contractors already know how to build a bid. The hard part is seeing where estimates drift, where categories are underpriced, and where actual job results should change the next proposal.