About Fun Fashion
cosmetica, acessorios, beleza, trend-driven products, b2b, individuality celebration, beauty, brand portfolio, drugs and druggists' sundries merchant wholesalers, private label cosmetics, personal expression, customer experience, logistics, sustainable beauty products, hair care, cosmetics distribution, vegan cosmetics, distribution, skincare, market leader portugal
Fun Fashion's Tech Stack
Frontend
Other
Backend
Decision Makers at Fun Fashion
1 contactMonica Santos
Founder and Ceo Fun Fashion
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Fun Fashion's Position in the StackWho Database
- • Fun Fashion is 1 of 307 cosmetics companies tracked in StackWho.
- • 307 cosmetics companies in our database have verified decision-maker emails (100% of the cohort).
- • 1,745 companies in Lisbon are in the StackWho database.
- • 93 cosmetics companies are in the 11-50 employee range (same size as Fun Fashion).
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 Fun Fashion use?
Fun Fashion uses Outlook, Microsoft Office 365, Mobile Friendly, WordPress.org, Apache, Typekit. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Fun Fashion?
StackWho has verified email addresses for 1 decision maker at Fun Fashion. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Fun Fashion directly for sales, recruiting, or partnerships.
What industry is Fun Fashion in?
Fun Fashion operates in the cosmetics industry, headquartered in Sintra, Lisbon, Portugal. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export Fun Fashion's contact data?
Yes. StackWho Pro members can export decision maker contact data for Fun Fashion and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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