In today's business environment, data analysis has become a key factor in successfully running marketing campaigns. Considering the large amounts of data that marketers collect, there is a greater need for automation of data processing and visualization of results. A particular challenge is the integration of data from multiple platforms for an overall view of the performance of marketing efforts. In this paper, data collection, processing and visualization will be carried out using the Python programming language, Django framework, PostgreSQL and the Grafana platform. The purpose of the analysis is to create a customized report that will serve marketing experts to analyze the characteristics of the target market, existing campaigns and keywords. Additionally, the up to now manual process of processing conversion data from customer relationship management software Pipedrive for transfer to the Google Ads advertising platform will now be automated. Pipedrive and Google Sheets application programming interfaces (Pipedrive API and Google Sheets API) will be used to retrieve the necessary data using the official documentation. The collected data refers to user registrations for a trial period of using the Determ software, software that enables users to monitor and analyze mentions of their brand, product, relevant person in their organization or an event on the Internet. Part of the collected data refers to user registrations for the Demo call, as a result of the change in the sales process and stages of the sales funnel of the company Determ. Both types of registrations analysed in this paper come through paid media and through set landing pages. The paper reveals conclusions about the target market and conversions resulting from advertising efforts.