Bid Accuracy by Cost Area: Where Your Estimates Actually Go Wrong
· By Mike Hagberg
Your completed jobs already know which part of your bids is broken — compare estimate vs actual by cost type (labor, material, sub, equipment) in Sage 100 Contractor and stop repeating the same estimating miss.
Bid Accuracy by Cost Area: Where Your Estimates Actually Go Wrong
Every closed job in Sage 100 Contractor is a graded exam of your estimating. The budget said Labor $151K, Material $726K, Subs $821K — the job cost ledger says what actually happened. Almost nobody grades the exam.
The question your completed jobs can answer
Break estimate-vs-actual down by cost type — Material, Labor, Equipment, Subcontract, Other — across your finished work, grouped by job type, and three things fall out:
- Which cost area is farthest off — for many contractors it's labor, consistently 10–15% over estimate on one specific job type while materials land within 3%.
- Which is closest — so you stop padding the area that doesn't need it and losing bids by carrying contingency in the wrong line.
- Which direction it misses — an area that's reliably over is an estimating-standards problem; one that swings both ways is a scope-definition problem.
The unit of learning is job type × cost area, not the whole company. "We run 4% over" is useless. "Remodels run +14% on labor, new construction runs +2%" is a fix you can make on the next bid.
Why this beats gut feel
Estimators remember the disasters and forget the quiet 8% misses that repeat on every job. The data weights every job equally — and quiet, repeated misses are where the margin actually goes.
How DataXcel watches this for you
DataXcel computes estimate-vs-actual variance per cost area across your completed jobs and uses it two ways:
- The Bid Accuracy by Cost Area dashboard shows your historical miss per job type × cost area — your estimating report card.
- The CEO Briefing's Budget category compares every active job against that history: when a job's labor line is already over budget and labor is its job type's historically worst area, it gets flagged early — while the estimate for your next bid of that type can still be corrected.
You already paid the tuition on every job you've closed. The variance data is the diploma — go collect it.