POLA

pola.co.jp

apparel & fashion

pola.co.jp

Paris, Ile-de-France, France

1-10 employees

LinkedIn Profile

POLA's Tech Stack

AI/ML

Decision Makers at POLA

1 contact

Esther Lelinowski

CEO & Founder

e***@pola-paris.com Sign up to view

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11 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.

POLA's Position in the StackWho Database

• POLA 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).
• 12,711 companies in Ile-de-France are in the StackWho database.
• 2,190 apparel & fashion companies are in the 1-10 employee range (same size as POLA).

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 POLA use?

POLA uses Gmail, Google Apps, Facebook Login (Connect), Google Tag Manager, Mobile Friendly, Facebook Custom Audiences, and 5 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at POLA?

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

What industry is POLA in?

POLA operates in the apparel & fashion industry, headquartered in Paris, Ile-de-France, France. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export POLA's contact data?

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