Goodshop
This listing has been marked as closed.
Business Contact
Ken Wolf
Computer SoftwareEmail: kandl12002@yahoo.com
Contact Information
Historical Phone: (415) 392-0100
Historical Hours: Show
Web: www.goodsearch.com
Facebook Profile: Visit
Twitter Feed: Visit
Google Maps: Visit
LinkedIn Profile: Visit
Foursquare: Visit
Edit: Edit or Remove
Business Description
Goodshop was founded in 2005. Annual sales for Goodshop are around USD 1,000,000 - 10,000,000.
Employees: 0-25
Revenue: USD 1,000,000 - 10,000,000
Founded: 2005
Industry
Local Services
Local Services
Engaged in:
Internet Service Provider, Market
Internet Service Provider, Market
ISIC Codes
4711, 6110
NAICS Codes
517311
4711, 6110
NAICS Codes
517311
Questions & Answers
Q1
Where is Goodshop located?
Goodshop is located at 550 Montgomery St #925, San Francisco, CA 94111, USA, California.Q2
What days are Goodshop open?
This listing has been marked as closed.
Goodshop is open Mon–Sun 9 AM–6 PM.Q3
Are there other contacts associated with Goodshop?
We have 8 additional contact(s) for Goodshop. They include: Peter Tanapat, Jillian Rodrigo, Angela Lily Liu, Scott Garell, John Park, Jj Ramberg, Mary Wu & Ken Ramberg.Q4
What is the web address (URL) for Goodshop?
The website for Goodshop is www.goodsearch.com.Q5
What are the annual sales for Goodshop?
Goodshop has annual sales of approximately USD 1,000,000 - 10,000,000.Additional Businesses at this Address
550 Montgomery St #925, San Francisco, CA 94111, USA
Businesses in Zip Code 94111
Businesses in 94111: 20,296
Population: 3,458
Categories
Professional Services: 41%
Financial Services: 16%
Shopping: 12%
Other: 31%
Price
Moderate: 50%
Inexpensive: 28%
Expensive: 17%
Very Expensive: 5%
Other: 0%
Area Codes
415: 95%
Other: 5%
Neighborhoods
Embarcadero: 5%
Financial District: 77%
North Beach: 9%
Other: 8%
Stats and Demographics for Zip Code 94111
Race
White: 64%
Asian: 29%
Hispanic or Latino: 3%
Black Or African American: 2%
American Indian Or Alaskan Native: 0%
Native Hawaiian & Other Pacific Islander: 0%
Other: 1%
Gender
Male: 53%
Female: 47%
Other: 0%