The implications of the information sector resulted in the creation of many new companies, but also development of certain sectors within existing companies that needed a new strategy for growth and development in the market. Corporations, in order to achieve higher overall level of efficiency and profitability are reaching for additional ways of strengthening individual sectors, i.e. through networking, activating those sectors they consider to have potential for further development. Thus, the information sector became a core activity that offered the potential for companies to explore new directions or even support the strengthening of already existing activities. The sales sector, especially in those corporations with a significant retail component, discovers through the economy of the information sector new sales channels or even new market niches that were previously inaccessible without networking. The operation of the information sector is based on various forms of networking, creating network effects that enable companies to achieve above-average business results, by utilizing the potential of designed activities. This paper analyses the activities of Hrvatska pošta d.d. and how networking has successfully multiplied the potential of that company, creating a new market segment. The traffic variable of the Yellow Click was analyzed using descriptive statistics. In the analysis, the years 2018 to 2022 were taken, so the number of observed years was 5. The table lists the minimum, maximum value, arithmetic mean, median, and value of the first and third quartiles. The mode does not exist on the observed data set. The variation range is the year with the most Yellow Click sales and the year with the least sales. The coefficient of asymmetry α3 is -1.018, which indicates a negative asymmetry of the distribution, while the coefficient of roundness α4 is 1.958, which indicates that the distribution of variables is more elongated than normal, that is, it is less flattened than with a normal distribution. The relationship between the variables yellow click and retail sales was analyzed according to the data from table number 1.6. The data for the year 2022 were excluded from the analysis, so the data from 2018 - 2021 were taken into the analysis, because in 2022 the sales growth trend was interrupted by the yellow click due to the introduction of the covid certificate, so that year was excluded from the analysis of the observed series of data as a clearer insight into the data could be obtained. A regression and correlation analysis of the yellow click turnover and retail turnover variables was carried out.