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
Nelson Butte North Harding South Dakota United States ☎ βœ‰ πŸ”— 0 0
Spirit Mound Spirit Mound Township South Dakota United States ☎ βœ‰ πŸ”— 0 0
Elk Butte Central Corson South Dakota United States ☎ βœ‰ πŸ”— 0 0
Lonesome Butte Northeast Corson South Dakota United States ☎ βœ‰ πŸ”— 0 0
Cicero Peak West Custer Township South Dakota United States ☎ βœ‰ πŸ”— 4.9 7
Custer Peak South Lawrence South Dakota United States ☎ βœ‰ πŸ”— 4.8 56
Egan Mounds Grovena Township South Dakota United States ☎ βœ‰ πŸ”— 0 0
Verendrye Hill Fort Pierre South Dakota United States ☎ βœ‰ πŸ”— 5 2
Hinton-Coleman Hill Northwest Jackson South Dakota United States ☎ βœ‰ πŸ”— 0 0
Miller Hill Brunson Township South Dakota United States ☎ βœ‰ πŸ”— 0 0
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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 South Dakota

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

City Listings Percentage
West Pennington 32 9.12%
Mount Rushmore Unorganized Territory 27 7.69%
West Custer Township 23 6.55%
South Lawrence 22 6.27%
North Lawrence 22 6.27%
Northeast Fall River 13 3.70%
West Oglala Lakota 12 3.42%
West Butte 11 3.13%
North Harding 11 3.13%
Southeast Jackson 8 2.28%

What Data Do We Provide?

Our dataset for Mountain peaks in South Dakota is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 351 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 – West Pennington – there are over 32 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 Mountain peaks in South Dakota 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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