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tieoutProduct overview · v1 · April 2026 · For VP FP&A
Pipeline hygiene for SaaS FP&A

Find the deals distorting your weighted pipeline — before you report the number.

Tieout scans a Salesforce opportunity export for the seven hygiene issues that quietly overstate weighted pipeline, ranked by dollar impact. The cleanup step of your Monday forecast, done in seconds instead of three hours.

Input
Salesforce CSV
Time to report
Under 10 seconds
Checks run
7 + concentration
Data stored
None
01The problem

Every week, SaaS finance teams rebuild the weighted pipeline forecast from scratch. The cleanup takes two or three hours before the number is trustworthy — hunting for duplicate opportunities at the same account, flagging ghost deals with no recent activity, catching stale close dates, questioning late-stage deals stuck in Proposal for four months.

The forecast math is the easy part. The cleanup is the job — and no tool owns it. FP&A lives in Excel and Salesforce exports because BI platforms assume the input is clean. It isn’t.

Tieout answers “can I trust the weighted pipeline number I’m reporting?” — a different question from the revenue-intelligence tools that ask “will this deal close?” for sales leaders.

02What Tieout does

Seven checks, ranked by weighted dollar impact on every run:

  1. 01Ghost deals.No activity in 60+ days, still weighted.
  2. 02Duplicate opportunities.Same deal entered twice at an account.
  3. 03Stale close dates.Past due, stage still open.
  4. 04Misaligned closed stages.Stage contradicts date or activity signals.
  5. 05Late-stage stuck.Proposal or Negotiation 90+ days.
  6. 06Stale amounts.Active deal; amount hasn’t changed in months.
  7. 07Missing required fields.Open deals without close date, stage, or amount.

Every issue comes with affected deals, weighted dollar impact, a specific recommendation, and a breakdown by owner. A two-sentence AI-generated executive summary opens every report.

03Status
Shipping todayFree pipeline hygiene scan.CSV in, ranked findings out. AI executive summary, owner-level breakdown, print/PDF export, no data stored.Live
Building nextLive Salesforce integration.Weekly hygiene digest in your inbox every Monday, with variance commentary on what changed week-over-week.In build
LaterBroader FP&A workflows.Pipeline-to-ARR bridge modeling and variance analysis on actuals, built on the trusted-data foundation.Planned
04Who it’s for

VP / Head / Director of FP&A at SaaS companies roughly $20M–200M ARR, running weekly forecasts off Salesforce data.

Primary user: the FP&A lead or analyst building the weekly forecast. Primary buyer: the VP Finance or CFO approving the budget line. Secondary users: Controllers and Strategic Finance leaders who need clean pipeline inputs for board-ready reporting.

Business model: free scan forever. Paid tier on live Salesforce data coming, mid-market SaaS budget.

05Who’s behind this

Built solo by a former SaaS FP&A leader with seven years in the weekly-forecast-cleanup ritual at a large software company.

Product decisions come from lived experience, not customer interviews about imagined pain. The seven checks are the ones I actually ran in Excel before every weekly forecast review.

06What I’m looking for

Five to ten design partnersin SaaS FP&A willing to run Tieout on their actual pipeline and tell me what’s missing. If you lead FP&A at a SaaS company running Salesforce-based forecasts, I’d love a fifteen-minute conversation.