Roof age is the strongest pre-inspection signal there is. This is the system for using it: find the old roofs, verify the age, build the list, work it in order.
A practitioner's scorecard for evaluating roofing property data and roof-age providers before you pay, including the accuracy checks and red flags most buyers skip.
A repeatable scoring method for finding the ZIP codes where your roofing crews close the most jobs per door knocked, plus the data that actually predicts a sale.
A practical, address-level playbook for estimating roof age across an entire market, then turning that map into a knock list crews can actually run.
Year built is not roof age. Here is the practitioner workflow for building a prospect list sorted by how old each roof actually is, so your crew knocks worn-out roofs instead of the whole street.
What predictive analytics actually means for a roofing sales team, the data that drives it, and a field-tested workflow for turning roof age and storm history into a ranked list of doors worth knocking.
Year built is the single most over-trusted number in roof targeting. Here is how a working contractor turns it into a defensible roof-age range, and when to throw it out entirely.
The exact ground-and-aerial workflow roofers use to spot roofs that are due for replacement, street by street, before they buy a stamp or knock a door.
A field-tested look at the property data roofing companies actually use, where the data breaks, and how to turn parcels, permits, imagery, and storm records into knocked doors that close.
There's no database with every roof's install date. Here's how pros assemble roof age by address from county records, permits, imagery, and storm history, then turn it into a knock list.
A working playbook for estimators: how to read a defensible roof-age range from top-down and oblique imagery, bracket replacements with historical captures, and build a prioritized knock list.
