Custom Event & Parameter Tracking Features a flexible, flat event taxonomy allowing unlimited custom events with granular metadata. Utilizes a flexible, parameter-based event model for tracking user interactions. Funnel & Drop-off Analysis Features a highly customizable funnel analysis engine for tracking conversion steps. Allows creation of custom funnel explorations to track user steps and drop-off rates. E-commerce Tracking While exceptionally strong at analyzing the purchase funnel, it requires custom event configuration rather than providing a pre-built retail schema. E-commerce tracking uses a structured schema for complete lifecycle tracking. Identity Resolution Automatically merges anonymous device IDs with authenticated User IDs into a single profile. Utilizes a blended approach prioritizing user-provided IDs, then vendor signals, and device IDs. GDPR / CCPA Compliance Provides data governance tools with PII redaction and automated data deletion APIs. Its compliance features include Consent Mode, IP redaction, and data deletion requests, but full compliance relies heavily on proper implementation by the user. Mobile app analytics Mobile app analytics is a market leader in mobile app measurement, offering deep insights into complex in-app behaviors, lifecycle stages, and version adoption. App tracking is handled natively through deep Firebase integration, providing a unified reporting structure for both web and mobile platforms. Audience Segmentation Develops dynamic behavioral segments for real-time marketing tool integration. Creates specific audience segments that sync with Google Ads automatically. Cookieless Ping / Consent Mode Utilizes Consent Mode to send anonymized data signals when cookie tracking is denied, aiding in measurement gap filling. Path Exploration / User Flows The Pathfinder tool visually maps all possible user journeys branching out from a starting event or converging toward a target goal. The pathing tool visualizes the sequential flow of users through a site or app, starting from a specific event or working backward from a conversion. Cohort & Retention Analysis Advanced cohort capabilities allow teams to group users by complex behavioral triggers and track their long-term retention and engagement decay. The cohort tool enables teams to group users by shared characteristics (like acquisition date) to track retention, engagement, and conversion decay over time. Attribution Modeling Uses data-driven models to distribute conversion credit across marketing touchpoints. Raw Data Export (BigQuery/S3) Routes raw, user-level event streams to external data warehouses via native pipelines. Exports complete, unsampled event data via native integration with Google BigQuery at no additional cost. Native SDKs Extensive native SDKs for iOS, Android, and more, designed for product-centric event streaming. Mobile app measurement is supported through dedicated Firebase SDKs for both iOS and Android environments. It features automatic logging for standard app interactions alongside the ability to define custom events. Data Sampling Control To maintain platform speed during complex queries on large datasets, the system applies data sampling, estimating results based on a subset of data. Proxy Deployment / Custom Domain Through Server-Side Google Tag Manager, businesses can route their tracking data through a first-party server before it reaches the analytics platform. Data Retention Limits Generally retains granular, user-level behavioral data indefinitely for enterprise accounts. Administrators can configure how long user-level and event-level data is stored before it is automatically deleted from the platform's servers. Custom Dashboard Builder Offers dynamic, collaborative workspaces and custom dashboards for product teams. Native dashboard capabilities are limited to customizing standard reports and creating Explorations. For comprehensive, executive-level dashboards, users must rely on the native integration with Looker Studio. Real-time Reporting Live data monitoring provides a snapshot of current active users, their geographic locations, and the events they are triggering within the last 30 minutes. Custom Data Models Utilizes a flexible, event-driven schema, replacing rigid session-based models. Automated Schema Management The native Data integration tool provides robust schema governance, automatically flagging unexpected events and preventing taxonomy bloat. Built-in A/B Testing Integrates with a native Experiment module for analyzing A/B test results using behavioral metrics. Bot Filtering Automated filtering actively excludes traffic originating from known web spiders and bots based on internally maintained lists. This feature operates entirely in the background and cannot be customized or disabled by the user. Anomaly Detection Anomaly Detection automatically highlights statistically significant deviations in event volumes or conversion rates within standard trend charts. Utilizes machine learning to establish baselines and flag deviations in core metrics. Predictive Analytics (Churn/LTV) Predictive models estimate user behavior, forming cohorts with high churn or conversion probabilities. Machine learning models predict future user actions like purchase probability or churn risk. SSO Support Manages secure enterprise access via native SAML 2.0 Single Sign-On. Single Sign-On (SSO) is supported via Google Workspace or Cloud Identity, allowing enterprise teams to centralize authentication and access control. Pre-built Industry Templates The platform offers a basic set of report collections and exploration templates tailored to general use cases, rather than highly specialized industry frameworks. 