How working roofers find old roofs, rank the right doors, build mail lists, and mine their CRM — using roof-age and storm data.
SalesRabbit is the default door-knocking app for roofers, but it isn't the only one and it isn't always the right one. Here's how to evaluate the alternatives by how your crews actually work a street.
A field-tested playbook for cutting new roofs out of your canvass so every knock lands on a roof that is aging out or storm-worn, using imagery, permits, and storm data.
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.
Storms come and go. Crews that only knock after hail starve for nine months a year. Here is how to build a canvassing program that produces in calm weather.
EagleView and roof-targeting software get lumped together, but they solve opposite problems. One measures a roof you already won. The other tells you which roof is worth chasing in the first place.
Storm data is everywhere and most of it is noise. Here is how to turn hail swaths, wind reports, and roof age into a ranked door list your crew can actually work.
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.
The five very different tools that all call themselves 'lead gen' software, what each really costs per signed job, and how a sharp owner picks the right stack.
The roofs that pay are the ones already worn thin when the storm hit. Here is how restoration pros locate them, rank them, and get to the door before everyone else.
Stop knocking random subdivisions. Here is the exact street-selection system pros use to rank neighborhoods by roof age, storm exposure, and demographics before anyone laces up.
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.
Concentrate or spread your roofing territory? How density lowers drive time, marketing cost, and crew waste at once, with worksheets, mail ladders, and the storm exception.
How to target aging roofs with direct mail that converts: estimate roof age from imperfect data, build a clean owner-occupied list, write honest copy, and run the math.
A practical comparison of the data sources roofers use to target territories: Census housing data, NOAA storm data, parcel/assessor records, USPS, and imagery.
