Real scenarios showing how government contractors use data-driven intelligence to find, price, and win federal contracts.
Based on typical outcomes from Pursight users. Individual results may vary.
Spending $180K/year on BD staff manually tracking SAM.gov and USAspending for re-compete opportunities. Missing 60% of relevant contracts because searches were keyword-dependent and inconsistent.
Used Pursight's re-compete pipeline with vulnerability scoring to identify expiring contracts in their NAICS codes. Set up email alerts for high-vulnerability incumbents. Generated capture briefs for each pursuit.
Identified a bridge contract with vulnerability score of 82. Built capture strategy 9 months before RFP. Won on first attempt against a 6-year incumbent.
New to federal contracting with no past performance data. Couldn't afford GovWin ($12K/yr) or Bloomberg Gov ($7.5K/yr). Was bidding blind on pricing, losing to competitors who knew the market.
Used Pursight's free tier to research NAICS code pricing benchmarks and competitor win rates. Upgraded to Pro for the win probability calculator and price-to-win percentiles to calibrate bids.
Used pricing percentiles to bid at the 35th percentile for their NAICS code. Win probability calculator showed 68% chance. Won against 4 other bidders.
Transitioning from subcontractor to prime. Needed to identify which agencies had contracts in their capability areas and which incumbents were vulnerable. Previous BD approach was networking-only.
Used agency behavior profiles to find agencies spending heavily in their NAICS codes. Cross-referenced with vulnerability scores to prioritize pursuits. Used competitor intelligence to study incumbent weaknesses.
Identified an agency spending $40M/yr in their NAICS with an incumbent on a 3rd bridge contract. Built a targeted capture plan and won their first prime contract.
8(a) certification expiring in 18 months. Needed to maximize set-aside wins before graduation. Was chasing every opportunity without a data-driven strategy for where to focus.
Filtered re-competes by 8(a) set-aside and vulnerability score. Used the Should I Bid score to eliminate low-probability pursuits. Focused resources on 5 high-confidence opportunities instead of 20 long shots.
Total contract value of $6.2M across 3 wins. 60% win rate vs. industry average of 20-30%. All wins came from contracts with vulnerability scores above 70.
Dominated state and local contracts but had no federal intelligence. Hired a BD director at $160K/yr who spent 80% of time on manual research instead of relationship building and capture.
Replaced manual research with Pursight's pipeline and alerts. BD director shifted to capture strategy and customer engagement. Used GSA labor rate intelligence to build competitive pricing models.
BD director now manages 3x more active pursuits. Won $3.4M facilities contract in first 8 months. Annual Pursight cost ($2,400) vs. tools it replaced ($18K+ combined).
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