McMahon & Nagle — Estimate → Order analysis by rep · v2.70 · LIVE
Load data to see rep conversion summary.
Load data to see rep performance by postcode area.
Load data to see rep performance by lead source.
Load data to see rep performance by value band.
Train per-rep logistic regression models on a long-range history, evaluate on a held-out test window, then pick any customer profile below to see which rep is predicted to convert them best.
Reps with \u226530 train leads get their own model (source \u00b7 postcode \u00b7 value band); smaller reps fall back to their base rate.
Set date ranges above and click Train to build the per-rep models.
Set a date range above and click Load Trends Data. This tab has its own data pool — it won't touch what the other tabs are showing.
Click Load Data — the pipeline loads itself in the background using the same dates.
Search won jobs by colour, product and area — e.g. a sage job with a black front door near K32. Results come live from MBNI for the date range.
Load data, then tick reps to compare against Company baseline.
Load Data, then commission breakdown per rep appears here.