Performance Marketing Analyst
Current- Created dashboards in Looker Studio by integrating and combining data sources with Google Analytics to measure and optimize campaign performance.- Executed queries in AWS Redshift to generate reports and then add to Tableau/Looker Studio, enhancing campaigns performance.- Monitored and resolved services flow errors by conducting queries.- Analyzed events in Google Analytics, such as conversion tracking or potential errors in the conversion flow, to identify drop-off points in conversion funnels and perform retargeting to encourage users to complete the subscription process. Additionally, conducted segmentation and created audiences for remarketing.- Analyzed general KPIs such as churn, billing, CTR%, CPM, CPC, visits, CPA, CVR%, CPL, among others.- Produced scoring reports for campaigns/services/creatives using statistical methods, highlighting the top 5 in each category (considering estimated ARPU, actual ARPU, CVR%, and churn%).- Analyzed profitability KPIs like LTV, ARPU, ROAS (by platform), and ROI, as well as their deviations to calculate optimal CPAs according to the service type.- Forecasted ARPU at the cohort level and compared it with LTV to estimate deviation and calculate the payback period for each service.- Analyzed the placement of each service by acquisition source to optimize investment in the placements with the best performance (depending on campaign objectives: clicks/acquisitions).- Evaluated existing upsells to optimize them within original services, thereby improving the performance of each campaign.Achievements:- Developed reports in Looker Studio that enabled the acquisition team to optimize their data-driven decision-making.- Achieved a 10% (+-3%) reduction in marketing investment due to the generated reports.- Created better-segmented audiences for services, resulting in an increased lifetime value (LTV) of users.