Automated win/loss analysis that captures deal factors without manual entry
RevOps leaders at scaling SaaS companies lose entire quarters of strategic signal because reps skip win/loss fields at close, and only 45% of sales leaders express high confidence in their forecast accuracy (Forrester, 2024). GTM Engine fires an AI prompt the moment an opportunity moves to Closed Won or Lost, extracts structured deal factors from notes and call transcripts, and writes clean reason fields back to the CRM automatically.
1,000 free credits — no credit card required
The win/loss workflow in GTM Engine: a stage-change trigger routes closed opportunities through an AI extraction prompt and writes structured reason fields back to the CRM in seconds.
Turn unstructured deal notes into clean CRM fields
Turn unstructured deal notes into clean CRM fields
- Structured win/loss reasons populated on 100% of closed opportunities, not just the ones reps remembered to update.
- AI output is mapped to your existing CRM fields before any write occurs, so no new fields are created and no existing data is overwritten without your explicit field mapping.
- After one week of the workflow running, your win/loss report goes from mostly blank to fully populated, and your first pattern analysis becomes possible.
Push clean deal signals to your analytics stack automatically
- Every closed deal automatically contributes a structured data point to your win/loss analytics dashboard, with no manual export or cleanup step.
- The HTTP request node supports custom headers and payload mapping, so it connects to any REST-compatible analytics destination without requiring a native integration.
- Within a full sales cycle of the workflow running, competitive win rate patterns surface in your BI tool that were previously invisible because the underlying CRM data was too sparse to query.
Push clean deal signals to your analytics stack automatically
Engineer your deal intelligence, stop chasing reps
GTM Engine's free tier includes this win/loss automation workflow, and because the AI output is mapped to your existing CRM fields before any write occurs, there is no risk of corrupting live opportunity data. Modern RevOps teams have this workflow running and populating their first structured win/loss records in under 15 minutes.
Used by GTM Engineers, RevOps teams, and growth leaders from seed to enterprise.
“Before this, our win/loss fields were blank on roughly 70% of closed opps, and every quarter I was manually reading through Gong transcripts trying to reconstruct why we lost deals to our top competitor. After setting up the GTM Engine workflow, structured reasons started populating automatically within the first hour, and by the end of the first month we had enough clean data to identify that pricing objections were concentrated in one segment, which we brought to the board with actual numbers behind it.”
Connect Friday. Clean CRM by Monday.
“I'm excited about what you guys are building. Like I haven't seen something like this ... I really just want to dig in more to the customer data layer because, yeah, there's a lot of gaps in the market.”
“We've been trying to build something similar internally but haven't been able to crack it because we don't have reliable data on the actual customer conversations ... eliminating the manual logging would probably pay for itself in rep productivity alone.”
“Automatic CRM updates alone would save us countless hours of headaches ... Improved forecast accuracy would make my life a lot easier.”
“This is honestly sounding like exactly what we need. I've been looking for a solution like this for a while ... the challenge we're facing is that our reps spend way too much time updating Salesforce. I'm constantly harping on them about it, but the data is still inconsistent.”