Stale open estimates
Quotes that remain open beyond the selected attention threshold.
Revenue intelligence for service businesses
Find revenue opportunities already hiding inside your existing pipeline before spending more money acquiring new leads.
Uses anonymized estimate data. No customer names, emails, phone numbers, or street addresses.
Pipeline clarity
Human attention goes to the right records. Stale, high-value, and possible reactivation candidates are surfaced without calling them recovered revenue.
Start with what you already paid to acquire
Revenue Found organizes quoted pipeline value into clear, deterministic categories so an owner or sales manager can decide where follow-up deserves human attention. It does not promise that an opportunity will close.
A focused workflow
Upload and analyze an anonymized CSV through a simple, explainable workflow, then review prioritized opportunities and a private printable report.
Start with a CSV from the CRM, field-service platform, or spreadsheet already in use.
Normalize statuses and dates, then classify every valid estimate using documented business rules.
Review high-priority, stale, and possible reactivation candidates before chasing more leads.
What the audit is designed to detect
Each category stays distinct so quoted value is never presented as recovered revenue.
Quotes that remain open beyond the selected attention threshold.
Larger estimates that may warrant a more deliberate follow-up plan.
Lost or declined work that matches transparent reactivation rules.
Records that need cleanup before they can support a reliable decision.
Open work with missing or old contact dates that may deserve review.
Malformed, duplicate, or incomplete rows summarized separately from valid estimates.
Built for data minimization
The audit is designed around anonymized operational fields such as estimate ID, dates, status, and amount.
Designed for estimate-driven teams
Initial validation focuses on U.S. service businesses that produce several dozen or more estimates each month and have inconsistent follow-up.
Start with an illustrative estimate
Upload an anonymized CSV for deterministic analysis, or use the calculator first without entering customer information.