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Oracle CX Commerce Stores in Unknown, Japan

Updated Dec 20 2024

There are 2 live Oracle CX Commerce stores in Unknown in Japan.

In this report, we'll cover the following essential statistics on Oracle CX Commerce stores in Unknown in Japan.

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Social Media Usage On Oracle CX Commerce Stores In Unknown In Japan

Ecommerce brands use social media sites to engage with millions of consumers. Instagram and Facebook are the dominant social media sites for ecommerce stores, by far, with Twitter, Pinterest and YouTube also having notable usage.

  • LinkedIn is used by 50.0% of Oracle CX Commerce stores in Unknown in Japan.
Type
Stores
LinkedIn
1

Top Categories For Oracle CX Commerce Stores In Unknown In Japan

Here is the breakdown of industry verticals for Oracle CX Commerce stores in Unknown in Japan.

  • 50.0% of Oracle CX Commerce stores in Unknown in Japan sell Apparel products.
Category
Stores
Apparel
1

Employee Breakdown for Oracle CX Commerce stores in Unknown

Here is the breakdown of Oracle CX Commerce stores in Unknown by the number of employees.

Employees
Stores
Unknown
1
1000 - 4999
1

Top-level Domain Distribution For Oracle CX Commerce Stores In Unknown In Japan

.com is the most common top-level domain, by far, for world-wide Oracle CX Commerce stores. Some countries have been faster than others to adopt alternate (such as country-specific) top-level domains.

  • 100.0% of Oracle CX Commerce stores in Unknown in Japan have a .jp domain.

Here is the top-level domain distribution for Oracle CX Commerce stores in Unknown in Japan.

Top-level Domain
Stores
.jp
2

Top Oracle CX Commerce Stores In Unknown In Japan

Here are the top stores in Unknown in Japan ordered by worldwide store rank.

Name
Domain
City
Rank
Created
www.integralife.jp
www.integralife.jp
Unknown
624,666
2019/03/08
www.suitoushou.jp
www.suitoushou.jp
Unknown
1,426,938
2019/12/13

Get more insights on Oracle CX Commerce stores

Our search interface is easy to use and helps you find the Oracle CX Commerce stores that are relevant to you.

You can segment stores on a variety of dimensions:

  • Social Media accounts
  • Email address
  • Phone numbers
  • Country
  • Third-party technologies
  • Creation date
  • Platform
  • Top-level domains
  • Domain status
  • Domain type
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