Eesh

eeshformals.com

marketing & advertising

eeshformals.com

Houston, Texas, United States

1-10 employees

LinkedIn Profile

About Eesh

advertising services, marketing & advertising, accessories, fashion, formal wear, shopping, women's clothing

Eesh's Tech Stack

Decision Makers at Eesh

1 contact

Anurita Chandola

Founder

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3 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

Google Analytics signals active web measurement. Privacy-focused analytics alternatives, conversion optimization, and A/B testing platforms are relevant pitches.

Eesh's Position in the StackWho Database

• Eesh 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).
• 22,781 companies in Texas are in the StackWho database.
• 56,565 marketing & advertising companies are in the 1-10 employee range (same size as Eesh).

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 Eesh use?

Eesh uses Google Analytics, YouTube, Nginx. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Eesh?

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

What industry is Eesh in?

Eesh operates in the marketing & advertising industry, headquartered in Houston, Texas, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Eesh's contact data?

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