Win rate by price position — how a quote's rate compares to the median for that kind of move. The line falling as price rises is your elasticity.
Avg rate × win probability, by price position. The peak is the revenue-maximizing price band — where to aim.
Real quote opportunities per month (green) vs real won inbound jobs (blue). Note the 2025 quoting ramp — it distorts year-over-year. Quotes are destination-service quotes; won-jobs count all inbound won moves, so the two are not yet joined per quote.
Where deals leak, from opportunity to booking.
Mode volumes are real (66/18/16 FCL/LCL/Air); win % is modeled.
Win rate with vs without the comfort call — a non-price lever. Proof you can hold price instead of discounting.
Leads shared → RMC-excluded → eligible → converted.
Top origin markets by real quote volume (origin inferred from email domain + agent name; global RMCs shown as International; win % modeled).
| Lane | Opps | Win % | Avg rate |
|---|
Real quote volume and average rate by agent; win % and price position modeled.
| Agent | Opps | Win % | Avg rate | Price pos |
|---|
By the quote's "Prepared by" field — real quotes, average rate, and total quoted value.
| Salesperson | Quotes | Avg rate | Value |
|---|
Written each cycle by an LLM from the data above: most recent month vs same month last year, and current quarter vs same quarter last year.