Vicomi

Emotion-based Marketing Solutions

Business Software
Non Active, Jan 2020 ceased to operate
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Company Overview

Snapshot

Founded in February 2013 by Eli Ken-Dror, Vicomi operated with 1–10 employees. The company raised $900,000 across one funding round. In January 2015, Vicomi secured funding from Keyrus and Axel Springer SE.

Business overview

Vicomi developed emotion-based solutions for publishers and websites, focusing on enhancing user interaction, engagement, retention, and monetization. The company offered interactive web tools, including a comment platform and its proprietary Feelbacks platform, which allowed publishers to measure user sentiment and leverage human emotions. Operating within the Business Software sector, Vicomi served the media and entertainment industries, specifically targeting publishers and website owners with its marketing and sales solutions.

Strategic signal

In December 2014, Vicomi introduced its innovative approach to user engagement, aiming to replace traditional 'likes' with an emotion scale. This initiative highlighted the company's focus on deeper user sentiment analysis and its potential to redefine how publishers measure and interact with their audience, signaling a strategic move towards more nuanced emotional data in marketing.

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Company Intelligence Q&A

What is Vicomi's primary focus?
Vicomi specializes in providing emotion-based marketing solutions for publishers and websites, aiming to increase user interaction, engagement, retention, and monetization through sentiment analysis.
When was Vicomi founded?
Vicomi was founded in February 2013 by Eli Ken-Dror.
What was a key product offered by Vicomi?
Vicomi offered interactive web tools, including a comment platform and its emotion-based Feelbacks platform, designed to help publishers measure user sentiment.
What was a notable funding event for Vicomi?
In January 2015, Vicomi secured funding from investors Keyrus and Axel Springer SE.
What was Vicomi's strategic approach to user engagement?
In December 2014, Vicomi aimed to replace the traditional 'Like' button with an emotion scale, demonstrating its focus on deeper emotional analytics for user engagement.
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