IDFA is Gone, but Is User Tracking Gone Too?IDFA and 3 More Ways to Measure and Personalize In-App User Journeys, CRM and Still Do TargetingFeb 12, 20231Feb 12, 20231
Published inTowards Data ScienceE-Commerce: Who Is Likely to Convert?Signal-based scoring is easier than you think and you don’t need Machine LearningJan 23, 20231Jan 23, 20231
Published inTowards Data ScienceLooking for Power User Journeys in E-commerceGA4 BigQuery SQL + Data Studio SolutionAug 4, 20223Aug 4, 20223
Published inTowards Data ScienceFind Your Power Users Using BigQuery Firebase DataUnderstand user journeys without investing in a third-party toolJul 6, 20223Jul 6, 20223
Published inTowards Data ScienceCustomer Lifetime Value via Retention — in Python, with Pandas and NumpyOn a Subscription Based ExampleNov 8, 2020Nov 8, 2020
Weighted Cohort LifetimeAs a Sum of Cohort Retention, not a Proof but an ExperimentSep 6, 2020Sep 6, 2020
Published inThe StartupEstimating Customer Lifetime Value via Cohort RetentionCLV or LTV as they call itAug 3, 20202Aug 3, 20202
Published inTowards Data ScienceWeb Scraping: A Less Brief Overview of Scrapy and Selenium, Part IIScrapy + Selenium to scrape AirbnbMar 25, 20198Mar 25, 20198
Published inTowards Data ScienceWeb Scraping: A Simple Way to Start (Scrapy and Selenium, Part I)In this post, I am sharing my first experience with web scraping and the tools I have used (Scrapy and Selenium). I hope this piece will…Dec 4, 20181Dec 4, 20181
Published inTowards Data ScienceHierarchical Clustering on Categorical Data in RThis was my first attempt to perform customer clustering on real-life data, and it’s been a valuable experience. While articles and blog…Apr 1, 201818Apr 1, 201818
