Services
Marketing
Funnel Conversion Gap Analysis
Identify exactly where leads drop off between stages and quantify the revenue impact of each gap.
Performance
When a revenue leader asks where deals are being lost, the honest answer in most companies is: somewhere in the middle, but we're not sure where. Top of funnel looks healthy. Close rates are acceptable. But the pipeline math never quite adds up, and every team has a theory about whose fault it is. The conversion gap analysis replaces the theories with specific stage-level data, so the conversation shifts from blame to the actual fix.
Pipeline reports show you volume at each stage. They don't show you where volume goes to die. A company can have strong top-of-funnel and healthy close rates while quietly losing 40% of deals in the middle of the funnel to a problem nobody has named yet.
The gap analysis problem is that you need to compare what entered a stage against what exited it, adjusted for timing and deal characteristics. That's not a report most CRMs surface natively. So the gaps stay invisible, and the fix stays generic: "we need to improve MQL quality" or "we need better discovery calls," without the data to show which specific stage, which deal type, or which rep cohort is driving the loss.
What we do
We extract stage-by-stage conversion data across your full deal history, segmented by source, size, rep, and time period. We calculate entry-to-exit rates at each stage, identify where conversion drops below what your overall numbers should imply, and trace the characteristics of deals that move through versus deals that stall or die at each stage.
The output isn't a list of stages with conversion percentages. It's a ranked list of where intervention will have the highest revenue impact, with the data to back it up.
For context on what this type of analysis typically surfaces, read what stage-by-stage conversion loss looks like in the data.
Deliverable
A stage-by-stage conversion analysis with segmentation breakdowns, a gap ranking by revenue impact, root cause hypotheses for the top gaps, and specific recommendations for process, criteria, or tooling changes at each gap point.
Outcome
You know exactly where your funnel is losing deals and what the characteristics of those losses look like. That means coaching conversations get specific, process changes get targeted, and pipeline forecasting gets more accurate.
How Levara Doubled MQL-to-SQL Conversion and Increased Revenue by 28% — tripled lead response speed, doubled MQL-to-SQL, and increased conversions 28%.
See how it worked in practice: Nova Lending built a lead scoring model that sales actually used.
Best Fit
This is for companies with at least 12 months of closed deals in their CRM and more than one stage between MQL and closed-won. If your leadership keeps asking "where are we losing deals" and the honest answer is "we're not sure," this engagement will give you that answer.