Most wholesalers track revenue and maybe deal count. That’s a start, but it’s like driving with only a speedometer — you know how fast you’re going, but not how much fuel you have, whether the engine is overheating, or if you’re even heading the right direction.
Pipeline Metrics
These tell you whether your deal flow is healthy:
Inbound deal volume. How many deals enter your pipeline per week? Track this by source (which newsletters, which bird dogs, which marketing channels). If volume drops from a source, you’ll notice immediately instead of wondering why business slowed down.
Source quality rate. Of the deals from each source, what percentage pass your initial screening? A newsletter that sends 50 deals a week but only 2 are worth evaluating is a low-quality source. One that sends 10 and 5 are viable is much better, even though the volume is lower.
Processing time. How long from email received to deal data extracted and available? If you’re processing manually, this might be hours. Automated, it’s seconds. Either way, measure it — faster processing means earlier buyer notification.
Matching Metrics
These tell you how well you’re connecting deals to buyers:
Match rate. What percentage of qualified deals match at least one buyer? If it’s low, either your buyer criteria are too narrow or your deal sources don’t align with what your buyers want.
Notification-to-response rate. When you notify a buyer about a matching deal, how often do they express interest? Low response rates suggest your matches aren’t actually relevant, or your buyers have gone cold.
Buyer coverage. What percentage of your buyers received at least one match this month? If half your buyers never see a deal, their criteria might be too specific or you need different sources.
Outcome Metrics
These tell you if the business is working:
Close rate. Of deals where a buyer expressed interest, how many actually closed? This is your conversion metric. If interest is high but closes are low, there might be issues with deal quality, pricing accuracy, or transaction execution.
Average assignment fee. Your revenue per closed deal. Track trends over time — rising fees might reflect market conditions or better deal sourcing. Falling fees might signal increased competition.
Time to close. From initial deal notification to closing. Shorter is generally better, but the key is consistency. High variance suggests unpredictable deal or buyer quality.
Revenue per source. Which deal sources generate the most closed revenue? This tells you where to invest your time and money.
Building a Dashboard
You don’t need complex software to track these metrics. A simple system that stores structured deal data can generate these numbers:
- Count deals by source and date for volume metrics
- Compare extracted criteria to buyer profiles for match metrics
- Track deal status (new → matched → interested → closed) for outcome metrics
The prerequisite is structured data. If your deals live in free-text emails and your buyers live in your head, none of these metrics are calculable. Structured extraction is the foundation that makes data-driven wholesaling possible.