Revenue intelligence for service businesses

How Much Revenue Is Hiding in Your Pipeline?

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

Quoted value is not the same as won revenue.

Quoted pipeline $428,000 Every valid estimate
Won revenue $176,000
Open pipeline $194,000
Lost quote value $58,000

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

Most pipelines contain more signal than their status column shows.

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

From exported estimates to an actionable review.

Upload and analyze an anonymized CSV through a simple, explainable workflow, then review prioritized opportunities and a private printable report.

  1. 01

    Export

    Start with a CSV from the CRM, field-service platform, or spreadsheet already in use.

  2. 02

    Analyze

    Normalize statuses and dates, then classify every valid estimate using documented business rules.

  3. 03

    Prioritize

    Review high-priority, stale, and possible reactivation candidates before chasing more leads.

What the audit is designed to detect

A clearer view of where follow-up may be leaking.

Each category stays distinct so quoted value is never presented as recovered revenue.

Stale open estimates

Quotes that remain open beyond the selected attention threshold.

High-value opportunities

Larger estimates that may warrant a more deliberate follow-up plan.

Possible reactivation

Lost or declined work that matches transparent reactivation rules.

Unknown statuses

Records that need cleanup before they can support a reliable decision.

Follow-up gaps

Open work with missing or old contact dates that may deserve review.

Data-quality issues

Malformed, duplicate, or incomplete rows summarized separately from valid estimates.

Built for data minimization

Useful pipeline insight does not require customer identity.

The audit is designed around anonymized operational fields such as estimate ID, dates, status, and amount.

  • Reject identity-bearing customer columns
  • Delete the original CSV after processing
  • Store monetary values as integer cents
  • Keep classifications deterministic and auditable

Designed for estimate-driven teams

A practical fit for service businesses with meaningful job values.

Initial validation focuses on U.S. service businesses that produce several dozen or more estimates each month and have inconsistent follow-up.

  • HVAC
  • Roofing
  • Electrical
  • Plumbing
  • Remodeling

Start with an illustrative estimate

Start by understanding the pipeline you already have.

Upload an anonymized CSV for deterministic analysis, or use the calculator first without entering customer information.