A practical guide for reading category, location, reputation, data availability, and team state before using credits or exporting a list.
A clear framework for choosing the right businesses instead of moving every result to planning with the same priority.
Growth and business teams building local lists that need better prioritization.
A clear framework for choosing the right businesses instead of moving every result to planning with the same priority.
Category, city, and business type should be clear before the team reviews results.
Choose the business category that fits the offer
Pick a city or area the team can actually follow up
Document why the market was chosen so criteria do not drift
Location, reputation, and classification give an early view of opportunity quality.
Review ratings and reviews where available
Use the map to understand proximity and distribution
Save good-fit businesses before moving them to team review
A list becomes stronger when revenue knows why each business was selected.
Capture qualification reason in notes
Use favorites to collect priorities
Review duplicates before credits or exports
Start with one guide, then apply the method to a specific local market and category.
Is the category clear?
Is the market scoped by city or area?
Are there enough signals before using credits?
Does the team know why the record was selected?
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.
A results interface that helps teams choose, not drown in details.
A simple way to turn interest into organized team review.
Less duplicate noise and clearer decisions around each business.
An executive read on the market that turns discovery workflow decisions into something clearer.
Operations, founders, business teams, and agencies that want a clean file before work moves into another system.
Business teams and growth teams that want CRM data quality to start before import.
Understand the business data fields that may appear in Munjam, when credits apply, and why field completeness varies by market and record.
A practical trust guide for using Munjam lists, exports, credits, and integrations with clear expectations and lawful commercial intent.
No. Criteria depend on the market and discovery workflow, but a shared framework reduces guesswork and makes the decision reviewable.
Often, yes. It helps teams use credits for businesses that are more likely to fit.
Educational content for growth and business teams that want clearer decisions before building lists or exporting them.
