Sample Credit Union Listings

Explore 10 random Credit Union listings from our dataset. Click on any contact icon for more details or to request your free sample.

Name City State Country Phone Email Website Ratings Reviews
Lembaga Perintis, Pembentukan... Maros Regency South Sulawesi Indonesia ☎ βœ‰ πŸ”— 0 0
Primer Koperasi Dharmagati Uni... Makassar City South Sulawesi Indonesia ☎ βœ‰ πŸ”— 0 0
KSP Batara Wajo Makassar City South Sulawesi Indonesia ☎ βœ‰ πŸ”— 0 0
Koperasi Wanita Teratai Makassar City South Sulawesi Indonesia ☎ βœ‰ πŸ”— 5 1
Koperasi Macirinna Pinrang Regency South Sulawesi Indonesia ☎ βœ‰ πŸ”— 0 0
Swamitra Makassar City South Sulawesi Indonesia ☎ βœ‰ πŸ”— 0 0
Koperasi Atikah Idar Sejahtera Makassar City South Sulawesi Indonesia ☎ βœ‰ πŸ”— 0 0
Korps Pegawai Republik Pemerin... Makassar City South Sulawesi Indonesia ☎ βœ‰ πŸ”— 0 0
KSU Mangge Rante Makassar City South Sulawesi Indonesia ☎ βœ‰ πŸ”— 0 0
Kopkar Bina Sejahtera Makassar City South Sulawesi Indonesia ☎ βœ‰ πŸ”— 0 0
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Complete Credit Union Dataset Fields Overview

Business Name
Address
Website
Phone
Email (if available)
Rating Count
Review Count
Photo Count
Timezone
Latitude
Longitude
Categories
Price Range
Rating Distribution
Photos
Popular Times
Info
Highlight
Hours
Topics
Owner
URL
Date
Plus Code
Place ID

Credit Unions Data for Cities in South Sulawesi

Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.

City Listings Percentage
Makassar City 291 41.34%
Gowa Regency 40 5.68%
Wajo Regency 29 4.12%
Palopo City 28 3.98%
Takalar Regency 27 3.84%
Maros Regency 27 3.84%
Barru Regency 23 3.27%
Pangkajene And Islands Regency 23 3.27%
Soppeng Regency 20 2.84%
Pinrang Regency 20 2.84%

What Data Do We Provide?

Our dataset for Credit unions in South Sulawesi is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 704 listings. This includes:

  • Essential business details (name, address, and operational hours)
  • Verified contact information (phone, email, and website)
  • Customer engagement metrics (ratings and reviews)
  • Precise geolocation data (latitude, longitude, and regional distribution)
  • Additional attributes like categories, pricing, and more

For example, our analysis shows that in one of the leading cities – Makassar City – there are over 291 listings, indicating a robust and competitive market.

How You Can Use This Data

Poidata' dataset empowers you to reach the right audience through multiple channels. Here are some key ways our data can give you a competitive edge:

Market Research & Competitive Analysis

Analyze trends, saturation, and competitor presence by region to uncover underserved areas and high-potential markets.

Location Intelligence & Expansion

Plan openings or rollouts using density maps, ratings, and category insights to target low-competition, high-demand zones.

Mapping & Navigation

Add POI data to your apps for delivery, logistics, or travel using accurate coordinates and business information.

AI & NLP Model Training

Train models with structured data and real user reviews for improved sentiment analysis, NER, and recommendations.

Real Estate & Investment Insights

Evaluate commercial potential and foot traffic by analyzing nearby businesses and activity trends.

Local SEO & Digital Services

Optimize marketing by studying GMB listings, ratings, and categories used by top-performing competitors.

Lead Generation & Sales

Find and reach businesses using phone numbers, websites, and category filters for smarter prospecting.

Email Marketing

Run campaigns with verified emails of decision-makers for personalized outreach at scale.

Cold Calling

Use up-to-date phone numbers to initiate effective conversations and improve call conversions.

Direct Mail Campaigns

Send promotional materials or catalogs using accurate mailing addresses for targeted delivery.

Social Media Outreach

Engage businesses via Instagram, LinkedIn, or Facebook using curated profile data (optional).

Footfall & Demand Estimation

Estimate local foot traffic by analyzing the concentration and type of nearby businesses and their popularity.

Integrating these strategies can significantly boost your marketing efficiency, lead quality, and business insights.

Need More Details?

Unlock access to the complete dataset of Credit unions in South Sulawesi in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insightsβ€”empowering your business decisions.

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