BigData partnership with SDA


Relevant content for increasing the end-user’s loyalty


One of the leading Software Development Agencies (SDA) from the UK contacted us for cooperation on behalf of one of its Clients, who performed activities in the Content Media Market. The end-client successfully launched a platform similar to 9gag and Reddit alongside a mobile application. The Client’s business was focused on enhancing platform monetization by increasing the end-user’s loyalty and willingness to click & go to the partners’ offers. The only way to achieve this was to provide content which would be interesting, relevant and eye-catching for the end-user and could keep him engaged for a prolonged time period. However, currently, the Client seeks ways to extend technological man- and brain-power support and he turned to experts in face of SDA.

Both parties treated this project as crucial and mutually-beneficial. From SDA’s point of view it was challenging because of the scarcity of the Big Data experts market and the level of complexity in finding a solution without attracting external experts. From the Client’s point of view the issue consisted of emerging amounts of the users’ data, as well as a need in developing a strategy-related decision facilitated by grounded analytical results in order to increase the platform growth and market expansion.



Being aware of successful cooperation between Unicsoft and its partners, SDA chose Unicsoft’s service to perform the above task. Moreover, SDA underlined that Unicsoft was chosen in particular due to its robust Big-Data expertise in various domains, and also the company was reflected in a successful track record of collaboration.

The high-level goal was to build a recommendation engine which would use Big-Data analysis and machine learning to analyze individual end-users’ preferences and to help discover new content accordingly.

The project comprised two substantial parts – setting up the dedicated team of experts for continuous collaboration and transforming business needs into added-value solutions, in addition to direct development of the aforementioned. Unicsoft allocated two in-house experts, as well as quickly engaged one pre-interviewed expert from the HR pool. The proposed solution consisted of researching and developing two different Recommending Engines, each of which used different approaches (content-based and user-based).



As a result, SDA met all the deadlines for this Client, having brought the highest level of delivery and technical expertise. Client, respectively, managed to increase its audience monetization crucially (for the first six months after the deployment, click-and-go for partners offers grew by 20% compared to the previous period), whilst the overall audience increased by approximately 8%. As reported by the Client, the breakeven point was reached in five months after investment into the solution. SDA underlined yet another successful project with Unicsoft, and expressed an intention of further cooperation.

TECHNOLOGY & TOOLS: Apache SparkPythonScalaMachine LearningRecomendation engine

Platform: Web