Translingerie

Translingerie

translingerie.com

apparel & fashion

Madrid, Community of Madrid, Spain
1-10 employees

About Translingerie

retail apparel & fashion

7 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

WordPress as a CMS signals a content-driven or SMB digital presence. SEO tools, hosting solutions, and page-builder plugins are natural fits for outreach.

Translingerie's Position in the StackWho Database

  • Translingerie 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).
  • 4,347 companies in Community of Madrid are in the StackWho database.
  • 2,190 apparel & fashion companies are in the 1-10 employee range (same size as Translingerie).

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

Frequently Asked Questions

What technology does Translingerie use?

Translingerie uses Ecwid, Mobile Friendly, Google translate API, WordPress.org, Facebook Custom Audiences, YouTube, and 1 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Translingerie?

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

What industry is Translingerie in?

Translingerie operates in the apparel & fashion industry, headquartered in Madrid, Community of Madrid, Spain. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Translingerie's contact data?

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