Resources

How to build clean company lists with the right data expectations.

A guide to available fields, why data varies between records, and how teams can keep expectations realistic before team review.

Data availability

Data availability guide

A clear way to understand what may appear in a record and what should not be treated as guaranteed.

5 min
Clarity
Realistic expectations
01
Protection
Proper use
02
Execution
Readable fields
03

Business teams teams that need to explain data limits before running discovery workflows.

Data clarity

Data availability guide

A clear way to understand what may appear in a record and what should not be treated as guaranteed.

01

Separate the record from available fields

A business appearing in a list does not mean every contact path is available or appropriate.

Treat each field according to availability

Review phone, website, and email as separate signals

Avoid building the workflow on an assumption that every record is complete

02

Set expectations before the discovery workflow

The team should know that field quality can vary by market, category, and record.

Explain the difference between base data and additional fields

Review the data availability page before choosing a larger plan

Start with a small market to understand list quality

03

Use available data with qualification context

The best lists combine available fields with the reason a business was selected.

Attach notes and market context during export

Use available fields to choose the planning channel

Review acceptable use and your team policies

Trust and clarity

Turn the guidance into an operating workflow inside Munjam.

Start with one guide, then apply the method to a specific local market and category.

check.01

Does the team know fields vary by record?

check.02

Was a small market tested first?

check.03

Is there a planning channel for the available field?

check.04

Was the reason for selection documented?

Apply the guide

Turn this guide into a working Munjam path.

A guide should not end as reading material. Connect it to the product capability, the team, the template, the handoff destination, and trust checks that make the workflow operational.

Clarity
Realistic expectations
01
Protection
Proper use
02
Execution
Readable fields
03
Data availability

Everything you need to know

Does every record include phone or email?

No. Fields appear where available and may vary between businesses, markets, and records.

How do we start with lower risk?

Start with a small market, review result quality, then expand once expectations are clear.