Google Maps prospecting tool: carving and working a territory

How do you use Google Maps for prospecting?

Lead Finder supports prospecting by producing a complete picture of a territory rather than a sample, which is what makes systematic working possible. Prospecting differs from list building in that the list is never the deliverable: the deliverable is a patch a person can work repeatedly and measure. That imposes a size constraint most people ignore. A territory should be small enough to work through in a fortnight and revisit, which for a dense category means a district rather than a city. It also imposes a rhythm. Extract, work the patch, re-extract after a quarter, and the difference between the two pulls, new openings and closures, becomes a second and much warmer list than the original.

Sizing a patch that can actually be worked

The practical test is how many contacts a person makes in a day and how many days before the patch is exhausted. Several thousand rows is not a territory, it is a database, and handing one to a representative produces cherry-picking rather than systematic coverage.

Density varies enormously between categories, so the right geographic unit differs. A few hundred venues can span a metro comfortably. Several thousand restaurants in the same metro need splitting by district, and each district then behaves like its own territory with its own coverage and measurement.

Cadence, and when each category answers

Contact timing is category-specific and frequently decides outcomes more than the script. Hospitality is reachable between service periods and unreachable during them. Accountancy is unavailable before statutory deadlines. Seasonal trades are saturated during their season and receptive before it.

A single calling schedule applied across a mixed territory therefore hits several categories at their worst moment and produces results that look like a list problem. Sorting a patch by category and scheduling each accordingly is a cheap correction that most prospecting operations never make.

The refresh that produces the better list

Re-extracting the same patch after a quarter and comparing against the previous pull surfaces new openings, closures and businesses whose profiles changed. New openings are the warmest prospects in most categories, because a business in its first months is choosing suppliers rather than switching them.

That delta only exists if the first extraction was kept and if re-running is cheap. Under per-row pricing the refresh competes with the original for budget; under a flat licence it costs nothing, which is what makes the comparison a routine step rather than an occasional luxury.

Related reading: building the prospect list itself , the businesses a territory sweep hides .