Ronald Lauder Ventures

Total investments

2

Average round size

113M

Portfolio companies

2

Exits

1

Areas of investment
EdTechTrainingEducationMarketplaceAdvertising

Summary

The usual cause for the fund is to invest in rounds with 6-7 partakers. The meaningful sponsors for the fund in investment in the same round are WS Investments, RiverPark Ventures, Richard Parsons.

The fund is constantly included in less than 2 deals per year. The average startup value when the investment from Ronald Lauder Ventures is 10-50 millions dollars. The important activity for fund was in 2014. The usual things for fund are deals in the range of 1 - 5 millions dollars.

Among the most successful fund investment fields, there are Social Media, Internet. Among the most popular portfolio startups of the fund, we may highlight WhoDoYou, Adverator. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund.

Show more

Investments analytics

Analytics

Total investments
2
Lead investments
0
Exits
1
Investments by industry
  • Marketplace (1)
  • Advertising (1)
  • EdTech (1)
  • Training (1)
  • Education (1)
Investments by region
  • United States (2)
Peak activity year
2016
Number of Unicorns
1
Number of Decacorns
1

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
1B
Group Appearance index
1.00
Strategy success index
0.60

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
Addy 01 Sep 2016 Marketplace, Advertising Seed 2M United States, New York
How we get our data

At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).

Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.