Cxense
An AI-powered Data Management and Intelligent Personalization platform that helped leading publishers and marketers.
| NOK | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 320 % | (5 %) | (11 %) | (4 %) | - |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | (199 %) | (54 %) | (73 %) | (30 %) | (47 %) | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | (224 %) | (71 %) | (165 %) | (63 %) | (79 %) | - |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
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Cxense ASA, established in 2010 by John Markus Lervik, emerged from the founder's extensive background in enterprise search and data management, notably as the co-founder and CEO of Fast Search & Transfer (FAST), which was acquired by Microsoft in 2008. Lervik's experience at FAST and subsequently as a Corporate Vice President at Microsoft shaped the vision for Cxense: to empower publishers and marketers with real-time data analytics and personalization tools. The company's journey includes a significant milestone in 2014 when it was listed on the Oslo Stock Exchange, a move designed to fuel its global expansion and product development. A pivotal moment in its corporate history occurred in 2019 when Cxense was acquired by Piano Software, a firm specializing in subscription and analytics solutions for media companies. This acquisition integrated Cxense's data management and personalization capabilities into Piano's broader suite of tools, aiming to create a more comprehensive platform for digital businesses.
The core of Cxense's business revolves around providing a Data Management Platform (DMP) that enables clients to collect and analyze user data from various sources, such as websites and mobile applications. This technology allows publishers, e-commerce sites, and brands to build detailed user profiles and segment their audiences in real-time. The primary service offerings include personalized content recommendations, targeted advertising, and subscription conversion tools. By leveraging machine learning algorithms, the platform analyzes user behavior to deliver relevant experiences, thereby increasing engagement and monetization opportunities for its clients. The business model is primarily subscription-based, where customers pay for access to the platform's analytics, personalization, and data management functionalities. The target market consists of digital publishers and marketers seeking to optimize user interactions and drive revenue through data-driven strategies.
Keywords: data management platform, personalization, content recommendation, audience segmentation, real-time analytics, ad tech, martech, user engagement, customer data, digital publishing
