Sample Business Listings

Explore 10 random sample 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
Walmart Supercenter Medford Wisconsin United States ☎ βœ‰ πŸ”— 3.7 1187
Walmart Supercenter Sturtevant Wisconsin United States ☎ βœ‰ πŸ”— 3.6 4449
Walmart Supercenter Platteville Wisconsin United States ☎ βœ‰ πŸ”— 3.8 1921
Gateway - Kenosha Campus... Kenosha Wisconsin United States ☎ βœ‰ πŸ”— 4.2 116
Walmart Supercenter Plover Wisconsin United States ☎ βœ‰ πŸ”— 3.9 3565
Walmart Supercenter Dodgeville Wisconsin United States ☎ βœ‰ πŸ”— 3.8 1425
Walmart New London Wisconsin United States ☎ βœ‰ πŸ”— 3.7 1361
Walmart Supercenter Rice Lake Wisconsin United States ☎ βœ‰ πŸ”— 3.6 3101
Walmart Supercenter Wisconsin Rapids Wisconsin United States ☎ βœ‰ πŸ”— 3.8 2781
Walmart Supercenter Neenah Wisconsin United States ☎ βœ‰ πŸ”— 3.7 3120
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Complete 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

Sample Cities in Wisconsin

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

City Listings Percentage
Milwaukee 267 10.72%
Green Bay 81 3.25%
Wauwatosa 70 2.81%
Brookfield 66 2.65%
Eau Claire 63 2.53%
Pleasant Prairie 61 2.45%
Oshkosh 56 2.25%
Racine 53 2.13%
Baraboo 47 1.89%
Kenosha 44 1.77%

What Data Do We Provide?

Our dataset for Clothing stores in Wisconsin is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 2,490 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 – Milwaukee – there are over 267 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:

  • Email Marketing: Utilize our verified email lists to craft personalized campaigns targeting key decision-makers.
  • Cold Calling: Access accurate phone numbers to initiate direct conversations, saving time and improving conversion rates.
  • Direct Mail: Reach out with physical catalogs or promotional materials using our detailed mailing addresses.
  • Social Media Outreach (Optional): Leverage curated lists of social media profiles (Instagram, LinkedIn, Facebook) to engage businesses on platforms where they’re most active.

Integrating these strategies helps ensure that your marketing efforts are both efficient and effective, driving higher engagement and better results.

Need More Details?

Unlock access to the complete dataset of Clothing stores in Wisconsin 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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