SNEUM

SNEUM

sneum.com

apparel & fashion

Copenhagen, Capital Region of Denmark, Denmark
1-10 employees

About SNEUM

retail apparel & fashion

Decision Makers at SNEUM

1 contact

Christian Petersen

Owner

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14 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

Shopify powers e-commerce operations of all sizes. This company is likely receptive to checkout optimization, abandoned cart solutions, loyalty platforms, and merchant financing.

SNEUM's Position in the StackWho Database

  • SNEUM is 1 of 3,706 apparel & fashion companies tracked in StackWho.
  • 3,695 apparel & fashion companies in our database have verified decision-maker emails (100% of the cohort).
  • 2,948 companies in Capital Region of Denmark are in the StackWho database.
  • 2,190 apparel & fashion companies are in the 1-10 employee range (same size as SNEUM).

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.

Frequently Asked Questions

What technology does SNEUM use?

SNEUM uses Gmail, Google Apps, WordPress.org, reCAPTCHA, Woo Commerce, Mobile Friendly, and 8 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at SNEUM?

StackWho has verified email addresses for 1 decision maker at SNEUM. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach SNEUM directly for sales, recruiting, or partnerships.

What industry is SNEUM in?

SNEUM operates in the apparel & fashion industry, headquartered in Copenhagen, Capital Region of Denmark, Denmark. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export SNEUM's contact data?

Yes. StackWho Pro members can export decision maker contact data for SNEUM and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.