Exacaster
Financials
Estimates*
EUR | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|
Revenues | 3.6m | 4.0m | 4.2m | 3.8m | 5.4m | 7.1m | 7.9m |
% growth | 135 % | 11 % | 4 % | (8 %) | 41 % | 31 % | 12 % |
EBITDA | - | - | <1m | <1m | <1m | <1m | - |
% EBITDA margin | - | - | 6 % | 7 % | 7 % | 11 % | - |
Profit | <1m | - | <1m | <1m | <1m | <1m | - |
% profit margin | 17 % | - | 4 % | 4 % | 6 % | 10 % | - |
R&D budget | 2.0m | - | - | - | - | - | - |
R&D % of revenue | 56 % | - | - | - | - | - | - |
Source: Dealroom estimates
Date | Investors | Amount | Round |
---|---|---|---|
N/A | $150k | Seed | |
$380k | Grant | ||
Total Funding | $530k |
Recent News about Exacaster
EditExacaster is a big data predictive analytics technology company that specializes in helping telecoms and retailers engage more effectively with their customers. Founded in 2011 by experienced marketing and data science practitioners, Exacaster has rapidly grown to become one of the fastest-growing companies in Central Europe. The company operates in the telecommunications and retail markets, providing advanced data management and marketing platforms that enable clients to make data-driven decisions.
Exacaster's business model revolves around offering software solutions that automate marketing campaigns and provide next-best-offer recommendations, which help clients save time and increase revenue. The company generates revenue through subscription fees for its software services and consulting fees for its data science expertise.
Exacaster's clients benefit from the company's deep knowledge of the telecom industry, creative use of the latest data science techniques, and consistent delivery models. The company's solutions have been recognized for their effectiveness, with accolades such as being named among the top 50 technology companies in the region by Deloitte in 2019 and being selected as one of the 1000 fastest-growing companies by Financial Times Statista in 2020.
Keywords: big data, predictive analytics, telecom, retail, customer engagement, data-driven decisions, marketing automation, next-best-offer, Central Europe, machine learning.