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Who uses it

Built for people who sell to local businesses

If your customers have a shop, a clinic, a factory or an office, they are on Google Maps. That is the entire premise.

The common thread

Every workflow below is a version of the same three moves: define a territory, list everyone in it who matches, then work through them systematically. That is the whole discipline of local B2B sales, and the reason it fails is almost never the idea — it is that building the list by hand is so tedious that nobody does it consistently, and following up is so easy to forget that most of the effort is wasted on first calls that go nowhere.

What follows is how different businesses apply those three moves, including the filters that make each one work.

By industry

Six workflows that work

Digital agencies

Websites, SEO, ads and social media sold to local businesses. The qualifying signal is already in the data: a business with no website is a website pitch, and a business with a poor rating and no owner replies is a reputation pitch.

In practice: A Faisalabad agency pulls 400 salons and clinics, filters to those with no website listed, and has a week of calls where the first sentence writes itself. Rating and review count separate the established businesses that can pay from the brand-new ones that cannot.

Distributors and wholesalers

Mapping the retail base before a rep drives out. Category filters mean a route can be planned by trade, and the address field turns a list into a day plan.

In practice: A pesticide distributor lists every agri store across Jhang district, splits them by tehsil, and gives each rep a saved view for their own area. Repeat visits are logged against the business, so nobody arrives asking questions the shop already answered.

B2B service firms

Accountants, insurance brokers, security, cleaning, IT support, printing — anything a business buys rather than a consumer. Review count works as a rough size proxy when you cannot see headcount.

In practice: An IT support firm targets manufacturers with more than twenty reviews, on the reasoning that a business with that much activity is big enough to have computers worth supporting. Everything under that threshold is skipped.

Recruiters

Finding the employers in a sector and city rather than the candidates. A direct number gets you past a switchboard, and the pipeline keeps every conversation on the record.

In practice: A recruiter maps every private school in a city before hiring season, calls the ones with more than one branch first, and sets follow-ups for two weeks before term starts — when the vacancy actually becomes urgent.

Field sales teams

Several reps, one territory to divide. Each gets a filtered list on their phone, logs outcomes as they go, and the manager sees the work without chasing anyone for an update.

In practice: A team of six splits a city by area, each working their own saved view. The daily figures count businesses worked rather than call attempts, so nobody can pad the number by redialling the same shop.

Market research and expansion

Counting competitors before committing money. Category, rating and review count together give a workable picture of a local market without buying a report.

In practice: A franchise checks how many rivals already trade within a target town and what their ratings look like before signing a lease. A town with six competitors averaging 4.6 stars is a different proposition from one with two averaging 3.1.

A worked example

One week, start to finish

This is the pattern most customers settle into after a fortnight.

  1. 1

    Monday morning — build the list

    Run two or three searches for the week's target: one trade, one city, split by area if the city is large. Twenty minutes of attention, and the extension does the rest while you deal with something else.

  2. 2

    Monday — filter and save the view

    Narrow to what is actually worth calling — has a phone, right category, right area — and save it as a named view. That view is now one click for the rest of the week, on the web and the phone.

  3. 3

    Tuesday to Thursday — call and log

    Work down the list. Log each call as you finish it: what was said, what status it moved to, and when to ring back. The ones who said “call me next week” get a date attached rather than a note you will never re-read.

  4. 4

    Every morning — clear what is due

    Open the Follow-ups tab first. Anything scheduled for today is already there, sorted by how overdue it is. This is where the second and third contacts happen, and where most deals close.

  5. 5

    Friday — look at the numbers

    How many businesses were worked, how many moved to interested, how many closed. Because repeat calls to one business count once, the figure reflects reach rather than effort — which is the number worth optimising.

Honest limits

When this is not the right tool

Better you know now than after paying.

Selling to consumers

This finds businesses, not individuals. If your customer is the general public, a Maps scraper is the wrong instrument entirely.

Named decision makers

You get the business and its published number, not the name of its procurement manager. For named contacts at large companies, LinkedIn tools are the right category.

Businesses not on Maps

Anyone without a listing is invisible to this — in practice, very small, very new, or entirely informal operations.

Bulk cold email at scale

Email coverage depends on businesses publishing an address. If your model needs thousands of verified emails a week, this will not feed it.

Full sales-org tooling

No quotes, invoices, forecasting or email sequences. The pipeline is deliberately simple; a real CRM does that job.

A team that will not log calls

The follow-up system only works if people use it. If nobody updates a lead after calling, you have bought a list, not a process.

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