A hunch becomes confirmed
The founder's suspicion about a certain client type walking away gets checked against actual logged reasons across many deals, turning a feeling into something they can act on with confidence.
Coming soonSales Manager
Understand why deals are won or lost
The business learns the real reasons deals slip away instead of only knowing that they did.
Works with
What it does
How Jeet handles this
Jeet prompts a rep to select a reason when a deal is marked won or lost, then rolls those reasons up into a report the owner can review. Patterns — like a specific objection recurring — surface automatically.
A marketing agency's founder has a nagging feeling that a certain kind of prospect keeps walking away at the proposal stage, but nobody's actually tracked why — deals get marked "lost" in a spreadsheet with no reason attached, and the pattern the founder suspects stays a suspicion rather than something they can act on with confidence when deciding where to invest business-development time next quarter.
Win-loss reporting prompts a rep to select a reason the moment a deal is marked won or lost, then rolls those reasons up into a report the founder can actually review. A recurring objection — pricing too high for a certain client size, a competitor's faster turnaround — surfaces as a pattern across many deals rather than staying a hunch nobody had the data to confirm or dismiss.
Where understand why deals are won or lost happens
Jeet runs this directly on the platforms your customers already use — no separate app for them to install.
- Gmail
- Slack
How it works
Step by step
- 01
A reason is captured at outcome
When a rep marks a deal won or lost, they're prompted to select why, capturing the reason while the deal and its details are still fresh rather than trying to reconstruct it weeks later from memory.
- 02
Reasons roll up into a report
Individual reasons across many closed deals aggregate into a report the founder can review regularly, showing which objections or advantages come up most often, rather than staying scattered across separate deal notes indefinitely, forgotten by everyone.
- 03
Patterns surface on their own
A recurring reason — the same objection appearing across several lost deals — is highlighted in the rollup, drawing attention to it rather than requiring someone to notice the pattern by manually reading through every reason logged so far.
- 04
Reason categories match the business
The list of selectable reasons is customised specifically for the agency's own particular situation rather than using a generic list borrowed wholesale from a completely different kind of business altogether, facing entirely different problems of its own.
Why it matters
What you get out of it
Business-development time redirects deliberately
Seeing which lead sources or client types close well versus which stall out lets the agency invest pitch time where the pattern actually supports it, not where it feels intuitively promising.
Reasons captured while fresh
A rep selects the outcome reason right when the deal closes, rather than trying to remember and reconstruct the real reason weeks or months after the fact when detail has faded.
The detail
What to know before you rely on it
This report is only as good as what reps actually bother to enter, and that's the real constraint, not a limitation of the mechanism itself. A rep in a hurry to move to the next pitch can select whatever reason is quickest to click rather than the true one, and low completion rates — reps skipping the prompt, or repeatedly selecting a generic "other" — quietly undermine the report's value without anyone noticing. Making the step quick and easy, and occasionally checking completion rates rather than trusting the rollup blindly, matters as much as building the feature itself.
Sample size is the second real limitation, applying with particular force to a business that's newer or closes deals relatively infrequently. A pattern built from five lost deals can look as visually convincing in a chart as one built from fifty, but the smaller sample is far more likely to be coincidence — a founder acting decisively on a five-deal pattern risks redirecting real effort based on what might just be noise. Treating early patterns as suggestive rather than conclusive avoids this trap.
Generic reason categories borrowed from a template built for a different kind of business force reps into an approximate rather than accurate answer, which degrades the report from the first entry. An agency's real loss reasons — a competitor's faster turnaround, a retainer-size mismatch, a client going in-house — look nothing like a retail business's categories, and a mismatched list gets reps clicking the closest option rather than the true one, producing a report that looks precise but rests on approximations throughout.
Industry use cases
Where this earns its keep
8 industries where Jeet applies this directly.
Jeet tracks test-drive leads and financing inquiries through a pipeline from showroom visit to delivery, and reminds reps to follow up on aging quotes.
A dealership's website form captures an interested buyer's contact details, Jeet creates the lead and assigns it to the on-duty sales rep, and a follow-up task is created if the rep hasn't logged an activity within two days.
See the automotive playbookJeet manages multi-stakeholder deal pipelines, sequences outbound prospecting to target accounts, and forecasts quarterly revenue from weighted pipeline value.
A software reseller's rep enrolls a shortlist of prospect companies into an email-and-call sequence, and Jeet pauses the sequence automatically the moment a decision-maker replies so the next touch is a live conversation instead of another templated email.
See the b2b sales playbookJeet routes loan or insurance inquiries to the right product specialist and keeps a compliant record of every call and consent given.
A financial advisory firm receives an inbound inquiry through its website, Jeet routes it to the specialist covering that product line, and the call recording consent is logged before any call is placed.
See the banking and finance playbookJeet manages the pipeline from course inquiry to enrollment, scoring leads by engagement so counselors call the most interested prospects first.
A coaching institute's demo-class signup form feeds directly into Jeet, and the lead's score rises after they attend the demo, moving them to the top of the counselor's call queue.
See the education playbookJeet manages consultation-to-order pipelines for interior design or furnishing projects, tracking quote versions as project scope changes.
A home-decor studio's client requests a revised quote after a site visit, and Jeet keeps both quote versions attached to the same deal so the rep can see exactly what changed.
See the home decor and furnishing playbookJeet tracks new-business pitches from first contact through proposal and contract, and reports which lead sources produce the best-fit clients.
An agency's referral lead comes in tagged by source, and Jeet's win-loss reporting later shows that referral-sourced deals close at a different rate than cold outbound, informing where the agency invests its business-development time.
See the marketing agencies playbookJeet tracks site-visit bookings and follow-ups for property inquiries, and forecasts likely closings by project and stage.
A broker's site-visit is scheduled through the meeting scheduler, and Jeet automatically creates a follow-up task for the day after the visit so interest doesn't fade before the next contact.
See the real estate playbookJeet manages custom-itinerary inquiries as a pipeline, tracking quote sends and follow-ups until the booking is confirmed and paid.
A travel agent's WhatsApp inquiry about a family holiday package becomes a deal, and Jeet tracks when the itinerary PDF is opened so the agent knows exactly when to call and close.
See the travel and tourism playbookMore from Jeet
Everything else it handles
Unify every lead in one inbox
The business stops losing leads that arrive scattered across WhatsApp, website forms, calls, and marketplaces because every new contact lands in one place automatically.
Learn moreVisualize the full deal pipeline
Sales owners see exactly where every deal stands and which ones are stuck, instead of guessing from memory or a spreadsheet.
Learn moreRank leads by likelihood to buy
Reps spend their limited calling time on the leads most likely to convert instead of working the list top-to-bottom.
Learn moreAuto-move deals on trigger
Deals stop sitting untouched in the wrong stage because Jeet updates them the moment a defined event happens, without a rep remembering to do it.
Learn moreAutomate follow-up sequences
No lead goes cold because they weren't followed up with — the next email, call reminder, or WhatsApp message goes out on schedule without a human remembering.
Learn moreCall leads without leaving jeet
Reps make and log calls from inside one screen instead of switching to a phone and then re-typing notes into the CRM afterward.
Learn moreQuestions
Straight answers.
What if reps just click through the reason prompt quickly without really thinking about it?
This is the report's real weak point — the data is only as good as what reps genuinely bother to enter, and a rushed or careless selection quietly undermines the value of the whole rollup without it being obvious that it's happening. Keeping the prompt quick and easy to answer properly, and occasionally checking how often reps are picking a generic catch-all reason rather than a specific one, helps keep the underlying data honest.
How many lost deals do we need before a pattern in the report is actually meaningful?
There's no fixed number, but a pattern built from just a handful of deals can look exactly as visually confident as one built from many more, while being far more likely to be coincidence rather than a genuine trend. A newer or lower-volume business should treat an early pattern as a lead worth watching rather than a settled fact worth redirecting significant business-development effort around immediately.
Can we customise the list of loss and win reasons for our specific business?
Yes, and this matters more than it might seem — a generic reason list borrowed from a different kind of business forces reps toward an approximate answer rather than the actual, specific reason a deal was won or lost. Setting up reason categories that genuinely reflect the agency's own real situation, from the start, keeps the data specific enough to actually be useful rather than vaguely correct.
Does this report show us anything about deals that are still open, not yet won or lost?
No — the reason prompt fires specifically at the moment a deal's outcome is recorded, so the report reflects closed deals only, not ones still sitting open in the pipeline. Forecasting how open deals are likely to go is a separate capability entirely, built around stage probability rather than a recorded reason that doesn't exist yet for something still in progress.
The rest of your stack
It plugs into what you already run.
Jeet connects to your tools
No rip-and-replace — understand why deals are won or lost works alongside the systems already running your business.
- HubSpot
- Salesforce
- Zoho
- Google Sheets
- Calendly
- Typeform
- Airtable
- Zapier
- Intercom
- Twilio
Coming soon