OPERA-C

opera-c.com

marketing & advertising

opera-c.com

Leverkusen, North Rhine-Westphalia, Germany

1-10 employees

LinkedIn Profile

About OPERA-C

advertising services, marketing & advertising

OPERA-C's Tech Stack

Backend

Apache

Other

Domo

KNIME

Sisense

4 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

OPERA-C uses Apache, KNIME, Sisense among other technologies. Use StackWho to identify the right decision-maker email for targeted sales outreach, recruiting, or partnership development.

OPERA-C's Position in the StackWho Database

• OPERA-C is 1 of 80,546 marketing & advertising companies tracked in StackWho.
• 80,503 marketing & advertising companies in our database have verified decision-maker emails (100% of the cohort).
• 3,954 companies in North Rhine-Westphalia are in the StackWho database.
• 56,565 marketing & advertising companies are in the 1-10 employee range (same size as OPERA-C).

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 OPERA-C use?

OPERA-C uses Apache, KNIME, Sisense, Domo. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at OPERA-C?

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

What industry is OPERA-C in?

OPERA-C operates in the marketing & advertising industry, headquartered in Leverkusen, North Rhine-Westphalia, Germany. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export OPERA-C's contact data?

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