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\nContents  \n01  \nIntroduction to Google Analytics Reporting  \n02  \nWhen to Use What Reporting Section  \n04  \nReports Marketing Objective Deep Dives  \n06  \nExplore Marketing Objective Deep Dives  \n13  \nGoogle Analytics Reporting Case Studies  \n14  \nCommon Questions & Reporting Gotchas  \n01  \nIntroduction to Google Analytics Reporting  \n● Overview of core GA reporting experiences (Reports, Explore, Advertising, Data API, BigQuery)  \n● Understand why data looks different across GA reporting surfaces  \n● Review how scopes work in GA  \nProprietary + Confidential  \nGA offers a diverse set of reporting tools to cater to various needs and levels of expertise  \nLet's explore the five key reporting experiences:  \n\n|  |  Purpose: |  Key Features: |  Ideal for: |\n| --- | --- | --- | --- |\n| \u003Cbr>Reports | Provides a quick and user-friendly way to gain insights into your data and core | Pre-built and custom reports,\u003Cbr>easy-to-understand visualizations, real-time data, and basic filtering options. | \u003Cbr>Routine monitoring, high-level overviews, and sharing with stakeholders who need readily accessible data. |\n| \u003Cbr>Explore | Enables you to go beyond standard metricsand perform deeper analysis, create custom visualizations and segments, identify hidden patterns and trends in user behavior, and answer specific questions about your data. This includes building complex funnels, conducting cohort analyses, and exploring\u003Cbr>user paths. | Flexible drag-and-drop interface, powerful filtering and segmentation, cohort analysis, funnel visualization, path exploration, and custom report creation. | Answering complex questions, uncovering user behavior patterns, and performing\u003Cbr>ad-hoc analysis. |\n| \u003Cbr>Advertising | Focuses specifically on analyzing the performance of your advertising campaigns. It allows you to understand how your advertising efforts drive conversions and revenue, optimize your ad spend and targeting strategies, and ultimately measure the return on your advertising investment. | Integration with Google Ads and other advertising platforms, attribution modeling, cross-channel performance\u003Cbr>analysis, and conversion tracking. | Understanding campaign effectiveness, optimizing ad spend, and measuring ROI. |\n| \u003Cbr>Data API | Grants programmatic access to your GA data, opening up a world of possibilities for custom integrations and applications. This allows you to automate data extraction and reporting, integrate GA data with other marketing tools and systems, and build custom dashboards tailored to your specific needs. | Flexible data retrieval, automation capabilities, integration with other systems, and advanced\u003Cbr>data analysis. | Automating reporting and integrating GA data with other tools. |\n| \u003Cbr>BigQuery Export | Enables you to export raw, unsampled GA data to BigQuery, Google's powerful data warehouse. This unlocks the ability to perform large-scale analysis, complex queries, and data manipulation. You can combine GA data with other data sources, build custom machine learning models, and gain a truly comprehensive view of your business.\u003Cbr>| Access to complete datasets, powerful querying capabilities, data integration, and advanced analytics. | Complex analysis, custom attribution modeling, and combining GA data with other data sources.\u003Cbr>|\n\nIntroduction to Google Analytics Reporting  \nProprietary + Confidential  \nWhy does data look different between Reports, Explore, Data API & BigQuery?  \nThis table outlines key differences between Reporting platforms that contribute to differences in data.  \n|  | \u003Cbr>REPORT |  |  | EXPORT |  |\n| --- | --- | --- | --- | --- | --- |\n|  | Reports | Explore | Advertising | Data API | BigQuery |\n| Data Scope | Session and User-level data | Event, Session, User, and Item level data | Event-level data | Event, Session, User, and Item level data | Raw ","cbCaiigx3mYXDk58","https://ap.wps.com/l/cbCaiigx3mYXDk58","pdf",8187695,77,"English","# Introduction to Google Analytics Reporting\n## Overview of core GA reporting experiences\n## Why data looks different across reporting surfaces\n## Comparison by data scope, sampling, and attribution","[{\"question\":\"How does sampling affect Google Analytics data in reporting tools?\",\"answer\":\"Sampling occurs when the number of events returned during an exploration exceeds limits for the property type, so Analytics uses a representative sample instead of full data in those cases.\"}]","GA Reporting Playbook - October 2025 | PDF",1789264443,27]