Implementing web or mobile analytics involves several steps, starting with creating a tracking plan and manual tagging, followed by data collection and analysis, and finally reviewing results to iterate the process. This traditional method is often slow and inefficient due to bottlenecks in manual tagging and waiting for data, which are resource-intensive and inflexible. Two primary solutions to improve this process are tag managers and autocapture. Tag managers simplify tagging by reducing engineering involvement but still require manual intervention and do not resolve all associated issues. In contrast, autocapture solutions automatically collect all user interactions, eliminating the need for manual tagging and enabling more agile analytics by focusing on defining events and performing queries after data collection. While tag managers offer incremental improvements, autocapture provides a more comprehensive solution by enhancing throughput and flexibility in analytics, thus better aligning with fast-paced business environments.