German Media Pool

Type

Private equity

Status

Active

Location

Berlin, Germany

Total investments

32

Average round size

18M

Portfolio companies

29

Rounds per year

2.46

Lead investments

7

Follow on index

0.09

Exits

8

Stages of investment
SeedEarly Stage Venture
Areas of investment
E-CommerceInternetRetailMobileAppsMarketingFashionPersonalizationShoppingEmployment

Summary

In 2011 was created German Media Pool, which is appeared as VC. The venture was found in Europe in Germany. The leading representative office of defined VC is situated in the Berlin.

The fund is constantly included in 2-6 deals per year. The important activity for fund was in 2016. Despite it in 2019 the fund had an activity. The common things for fund are deals in the range of 50 - 100 millions dollars. The real fund results show that this VC is 4 percentage points more often commits exit comparing to other companies. Opposing the other organizations, this German Media Pool works on 5 percentage points less the average amount of lead investments. The typical startup value when the investment from German Media Pool is 500 millions - 1 billion dollars. The higher amount of exits for fund were in 2016.

The standard case for the fund is to invest in rounds with 3-4 partakers. Despite the German Media Pool, startups are often financed by Target Global, Mangrove Capital Partners, Felix Capital. The meaningful sponsors for the fund in investment in the same round are RI Digital Ventures, SevenVentures, Heliad Equity Partners. In the next rounds fund is usually obtained by Heliad Equity Partners, Venture Stars, Winklevoss capital.

The current fund was established by Aljoscha Kaplan, Niko Waesche. We also calculated 2 valuable employees in our database.

Among the various public portfolio startups of the fund, we may underline About You, Job Today, twago.com Among the most successful fund investment fields, there are Consulting, Retail. The fund has specific favorite in a number of founders of portfolio startups. When startup sums 1 or 5+ of the founder, the probability for it to get the investment is little. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. For fund there is a match between the location of its establishment and the land of its numerous investments - Germany.

Show more

Investor highlights

Stage focus
Series ASeries B
Geo focus
AlbaniaAustriaBelgiumBosnia and HerzegovinaBulgaria Show 36 more

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
32
Lead investments
7
Exits
8
Rounds per year
2.46
Follow on index
0.09
Investments by industry
  • E-Commerce (13)
  • Retail (5)
  • Internet (4)
  • Marketing (4)
  • Fashion (4)
  • Show 52 more
Investments by region
  • Germany (28)
  • Luxembourg (2)
  • Switzerland (1)
  • United Kingdom (1)
Peak activity year
2016

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
26M
Group Appearance index
0.81
Avg. company exit year
6
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
ABOUT YOU 05 Sep 2016 E-Commerce, Retail, Marketing, Fashion, Personalization, Shopping Seed Germany, Baden-Württemberg, Germany
Aknamed 06 Apr 2020 Supply Chain Management, Health Care, Hospital Early Stage Venture 7M Karnataka, Bengaluru, India
Libify 26 Oct 2016 Hospital, Security Early Stage Venture Munich, Bavaria, Germany

Similar funds

By same location

By same geo focus

By doing lead investments

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.