A pipeline that looks healthy on the surface can still be hiding problems. Deals that have been sitting in the same stage for six weeks. A rep whose numbers look fine until you realize most of their pipeline is inflated. Losses that keep happening for the same reason nobody's addressed. You don't spot these things by eyeballing the kanban board — you need actually to dig into the data.
Odoo CRM's Pipeline Analysis and Win/Loss reporting are where that digging happens.
Pipeline Analysis
Go to CRM > Reporting > Pipeline and you'll land on a bar chart showing opportunity count and value across pipeline stages. That's the starting point, but the real work happens when you start applying filters and grouping the data differently.
Group by salesperson to compare pipeline values and conversion rates across your team.
Group by stage to see where deals are stalling.
Filter by expected closing date and you get a view of what's supposed to close this month — useful for spotting whether your near-term forecast is realistic or wishful thinking.
The kanban view gives you a quick visual read on overall pipeline health. The list view is better when you want to sort, dig into specifics, or export data for a presentation or external review.
The Metrics That Actually Matter
Total pipeline value is the obvious one — but on its own, it doesn't tell you much. What matters more is how that value is moving. Stage conversion rates show you the percentage of deals advancing from one step to the next. If a lot of deals are stalling between qualification and proposal, that's worth investigating. Average deal cycle length tells you how long things typically take, and if that number is creeping up over time, it usually means something in the process has gotten slower.
Pipeline velocity — how quickly the overall value of your pipeline is growing or shrinking — is the number that ties everything together. A shrinking pipeline value, even with good individual deal activity, is an early warning sign worth paying attention to.
Win/Loss Reporting
Filter your Pipeline Analysis view by Won or Lost status and you've got your Win/Loss report. It shows which deals closed and which didn't, broken down by whatever dimension is most useful — salesperson, source, team, campaign.
The loss reason data is where this gets particularly valuable. When you mark an opportunity as lost in Odoo, the system asks you to pick a reason. Those reasons accumulate over time into a dataset that shows you, clearly, where your deals are falling apart. If a third of your losses over the last quarter list "price too high" as the reason, that's not just a sales problem — that's a positioning conversation worth having with the wider business.
The point isn't to use this data to point fingers. It's to spot patterns and address them. Lost deals are going to happen. The ones that teach you something are the ones that get documented properly.
Conclusion
Used consistently, Pipeline Analysis and Win/Loss reporting turn your CRM from a place where deals get tracked into a place where decisions get made. The data is only useful if someone is actually looking at it — but when teams make a habit of reviewing it regularly, patterns surface faster, problems get addressed earlier, and the pipeline stops being something that just happens and starts being something the team actively manages.
References:
Odoo Docs – Pipeline Analysis: https://www.odoo.com/documentation/19.0/applications/sales/crm/performance/win_loss.html
Odoo Docs – Expected Revenue Report: https://www.odoo.com/documentation/19.0/applications/sales/crm/performance/expected_revenue_report.html
Odoo CRM Overview: https://www.odoo.com/documentation/19.0/applications/sales/crm.html