
Echobox
AI-powered content automation for publisher newsletters and social media.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
$6.0m | Debt | ||
Total Funding | 000k |
USD | 2018 | 2019 | 2020 | 2021 | 2023 |
---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 33 % | 50 % | 82 % | - |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Echobox is a technology company that provides AI-driven automation and optimization tools for publishers. The company's platform is designed to help media organizations increase their online traffic and engagement by automating the distribution of content across social media and email newsletters.
Founded in London in 2013 by Antoine Amann, Echobox was created to address the challenges publishers face in the digital landscape. Amann, with a background in journalism at the Financial Times, identified an opportunity to apply machine learning to automate manual and time-consuming processes in the newsroom. This would allow journalists to focus on creating quality content. Marc Fletcher later joined as CTO. The company initially faced the challenge of introducing the concept of automation to a skeptical news industry, requiring significant research and development to build a convincing product.
Echobox's core services, Echobox Social and Echobox Email, use artificial intelligence to analyze real-time and historical data, determining the optimal content, timing, and presentation for posts on platforms like Facebook, X (formerly Twitter), and LinkedIn, as well as for email campaigns. The technology reverse-engineers social media algorithms to maximize reach and can automatically generate posts, suggest hashtags, and perform A/B testing on headlines and images to enhance performance. The platform serves thousands of clients, including prominent names like The Telegraph, Le Monde, and Condé Nast, in over 100 countries.
The business operates on a SaaS model, and while specific pricing is not publicly listed, it is offered on a quote-based plan. The company has secured approximately $9.4 million in funding over several rounds, with investors including Mangrove Capital Partners, LocalGlobe, and Flow Capital.
Keywords: content automation, publisher tools, social media optimization, newsletter automation, artificial intelligence, machine learning, digital publishing, audience engagement, content distribution, traffic optimization, newsroom automation, A/B testing, social media management, email marketing, data science, media technology, SaaS, content strategy, viral prediction