Where is your revenue leaking? Find out in 90 seconds.
Answer a handful of questions about how you sell and get a profile of where revenue most often escapes teams like yours — before you connect anything.
Revenue leakage is value your revenue motion creates but never captures — pipeline that decays unseen, deals mis-forecast, selling time lost to admin. You find yours at the seams between marketing, sales, delivery and finance. This 90-second assessment asks seven questions about your motion and shows you which seam is costing you most.
Where is my revenue leaking?
You should not have to find out in the QBR.Nobody hands you a report titled “the money you never saw”. The deals you lose get a post-mortem; the value that quietly fell through a seam gets nothing, and you find out when the plan you built on it stops adding up.
That is the number this takes ninety seconds to put a shape on. Seven questions about how your motion runs, and you leave knowing which seam is costing you most — not so you can put it in a budget, but so you stop arguing about whether there is a problem and start arguing about which one to fix first.
This is a directional scenario built from your seven answers, with every planning assumption printed in full under your report. It reads nothing about your company. Use it to decide where to look; use the ten-minute pipeline audit to measure.
What is revenue leakage, exactly?
Value your motion created and never captured. It is not losing a deal to a competitor — nobody decided against you. The value fell through a seam between teams that were each doing their own job correctly, which is exactly why no one team ever reports it. Four seams account for most of it.
Pipeline you cannot see
Interactions that never reach the CRM, or reach it late and thin. The deal looks the same in the report as it did last week because nothing new was written down — not because nothing happened.
Selling time that never sells
Hours spent re-entering, reconciling and chasing records rather than working deals. It never shows up as a lost deal. It shows up as fewer deals worked per rep per quarter, and a number you missed for reasons nobody can point at.
Close dates that move
Commit dates that slip a quarter at a time. The revenue is often still there — the plan you built on it was not, and you had already told the board.
Handoffs that drop value
Scope agreed in the sale but never delivered or never billed; renewals and expansions nobody owned. This seam is real and expensive, and it is the one this page names rather than prices.
The assessment models the first three, because they can be estimated from a handful of numbers you already know. It names the fourth and stops — pricing delivery and billing leakage takes contract and invoice data this page does not have.
$2 trillion
in excess sales, general and administrative costs and lost revenue potential may be wasted by typical sales and marketing efforts. Revenue leakage is value created but not captured because evidence, ownership or action breaks across the revenue lifecycle. This assessment looks for those seams; the BCG estimate is market context, not a measured SalesSynq result.
Source: The $2T Opportunity to Boost Sales and Lower Costs with RevTech — Boston Consulting Group, 2022
How does it turn seven answers into a number?
With arithmetic you can check and assumptions we name. There is no model and nothing hidden — every rate below is a SalesSynq planning assumption, printed with your report so you can disagree with a specific figure rather than with a black box.
- Annual pipeline influenced = average deal size × monthly opportunities × 12. Baseline closed revenue applies an industry win-rate assumption to it.
- The visibility driver applies an industry assumption, adjusted by the CRM you named and the logging accuracy you reported.
- The productivity driver applies an assumed fully-loaded rep cost to an assumed share of time spent on CRM administration and rework.
- The forecast-risk driver applies an assumed close-date-variance rate to the closed-revenue baseline.
- The headline figure is the arithmetic sum of the three midpoints; low and high are a fixed sensitivity of ±25% around it.
Those three drivers can overlap, so treat the sum as a ceiling rather than a total, and the ±25% as a sensitivity range we chose rather than one derived from data.
What do I do with the result?
Three steps, and only the first one happens on this page. The second takes ten minutes and one export; the third is where the seam stops reopening every quarter.
- 1
Find the seam
Ninety seconds, seven questions, no data and no signup. You get a directional picture of which seam is costing you most, with every assumption printed underneath it.
- 2
Check it against your real records
Export one pipeline and run the ten-minute audit. Same questions, asked of your actual deals — and a straight account of which parts your data cannot answer.
- 3
Act while it still matters
Connect read-only and the check keeps running. Deals at risk surface while there is still a month to work them, instead of in the review after the quarter closed.
The difference between step one and step two is worth being blunt about. SalesSynq spots at-risk deals early and tells your team exactly what to do next. This page cannot do that — it has never seen a deal of yours.
- The pipeline audit reads an export you choose to hand over — Salesforce, Jira, Zendesk or a timesheet file — and scores the deals that are really in it.
- It tells you what your data could and could not support, field by field, before you trust a single score.
- Connect HubSpot read-only and the check runs continuously against your own pipeline. SalesSynq does not write to your CRM records; routing a task into a work tool is a permission you grant per tool, and it is refused until you do.
- This assessment sees none of your records, so it cannot name a single deal.
- It is not a forecast, and no part of it is a probability that any particular deal closes.
Questions about revenue leakage
Now check it against your actual deals
Ninety seconds tells you where to look. Ten minutes and one export tells you which deals are at risk right now — and what your data could not answer.
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