Rep-tagged reasons miss the buyer's reasons
In Clozd's primary research across 1,000 deals, sales reps were wrong about why a deal was lost 85% of the time. Buyer and seller reasons align only 15% of the time.
85% wrong · 15% alignmentEvery month, the truth about why your deals close and why they don't reaches the people setting your roadmap. Themed win and loss patterns, the buyer's own words set against the reason in your CRM, and the counts behind every one. That evidence is the report. It goes into your next exec meeting unedited, with the moves it points to laid out beside it for you to weigh. You forward the calls and threads you already have. That part is the only part that's yours.
Send 3 lost-deal threads or 1 call recording. A one-page read of your own deals is back in your inbox within 48 hours.
Money-back the first month if your report isn't decision-ready in your next exec meeting.
You decide what we see: redact before you send, or share a names-stripped transcript, so the raw never leaves your side. Anything you send is held under a data processing agreement, available when you subscribe.
You run product at a Series-B SaaS company. The CEO keeps asking why deals are slipping. The only answer on hand is whatever the reps tagged in the CRM on their way out of the deal: "price," "missing feature," "went dark." Three things make that data unusable.
In Clozd's primary research across 1,000 deals, sales reps were wrong about why a deal was lost 85% of the time. Buyer and seller reasons align only 15% of the time.
85% wrong · 15% alignmentCRM-tagged competitor attribution fails to match the buyer-identified competitor 65% of the time. Your battlecards, pricing responses and roadmap bets end up aimed at a rival the buyer barely considered.
65% attribution mismatchThe recordings and email threads are sitting in your call library and your CRM right now. You have no internal researcher, your PMs are shipping, and skimming three calls the night before a QBR is a vibe check. So the loudest anecdote in the room wins the roadmap argument.
Recurring flow, nothing read"Pricing structure surfaced in 7 of 11 lost deals" lands differently in an exec meeting than "we think pricing is a problem." Every theme is counted, sourced to specific deals, and ranked by frequency.
The exact words buyers used, pulled from your recordings and threads and tied to the deal they came from. Quotes end the arguments that summaries start.
Every competitor your buyers actually named, what was said about them, and how often each appears across your deals. Set it beside your CRM's competitor field and see the 65% gap for yourself.
Three to five recommendations that follow from the counts and quotes above, not from us. Written to drop into a roadmap session unedited, and easy to set aside where you know something the data doesn't.
On Tailored and Strategic, we capture your product, competitors, priority questions and interview types once, at onboarding. Every report after that is read against it and against last month's patterns. You never re-brief us, and the tenth report knows things the first one didn't.
Lost deals are the flagship. The same pipeline handles won-deal debriefs, discovery interviews, churn and exit conversations, and survey verbatims. If it's a customer talking, it can go in the monthly batch.
"We told the rep it was budget. It wasn't budget. We couldn't see how we'd get our team to switch."
A tool only helps on the weeks someone finds time to run it. The report arrives whether or not your week blew up. The loop reliably happening is the product, and it is the part that never survives "we'll do it ourselves."
Pasting one call into a chatbot gives you one summary. The value is the pattern across every deal this month, counted, ranked, and set against your CRM. That view does not exist inside a single transcript.
A general tool will theme whatever you paste, thin evidence included, and sound certain doing it. We report frequency and source for every claim, and we say so in writing when a month's material is thin rather than padding a slow month into themes that aren't there. Neutral on the read, every time.
Each month is read against your context and last month's patterns, so the analysis sharpens over time. Cancel whenever you like and you keep every report you have received. What stops is the momentum and the maintained context, not your past work.
LossSignal is run by a product leader who spent years making roadmap calls on exactly this kind of closed-lost data, and built the service to fix it. It is deliberately narrow: one service, one kind of team, done properly, rather than a platform you have to adopt.
The proof is not a wall of logos. It is the work. The research above is Clozd's, across 1,000 deals. The read is ours, and the quickest way to judge it is to send three of your own lost deals and see what comes back. If you subscribe and the first month's report isn't decision-ready in your exec meeting, you don't pay for that month. That is the case you take to whoever signs off the spend: a report on your own deals first, a no-risk first month, and the numbers behind the problem.
How it works, in one line: forward what you have to one email address, we read it, and a decision-ready report comes back. No portal, no meetings, no formats for your team to learn.
$999 /month
+ $499 one-time setup
$499 /month
No setup fee
$1,999 /month
+ $999 one-time setup
If your first report isn't decision-ready in your next exec meeting, you don't pay for that month.
Before any of this, send three of your own lost deals and judge the output on your own deals first.
A read on your own deals, not a pitch. If you go on to subscribe, the first month is money-back if the report isn't decision-ready in your exec meeting.