Custom Event & Parameter Tracking The platform offers a highly flexible, parameter-based event model to track any specific user interaction. Instead of traditional category-action-label hierarchies, users define custom event names and append specific key-value parameters. The platform uses a flexible event-based schema that uniquely combines automatic frontend capture (autocapture) with precise custom instrumentation. Users can implement structured custom event tracking using a traditional Category-Action-Name-Value hierarchy to monitor specific interactions. The platform operates on a purely event-driven schema, allowing teams to define limitless custom actions alongside rich, nested metadata properties. The platform uses a flexible event tracking model, allowing users to define custom categories, actions, and names, alongside unlimited custom dimensions. The platform utilizes a highly scalable, custom variable architecture (eVars and props) to track virtually any unique business interaction with extreme granularity. Custom event tracking features an incredibly flexible, flat event taxonomy that allows product teams to define unlimited custom events with highly granular metadata. Funnel & Drop-off Analysis Users can build custom funnel explorations to track sequential user steps and identify drop-off rates across any combination of events. Users can build complex conversion funnels with advanced features like strict step-ordering, time-to-convert metrics, and direct links to session recordings. As a premium plugin, the funnel tool allows businesses to define strict step-by-step conversion paths to identify exact user drop-off points. The platform offers an exceptionally powerful funnel engine, allowing analysts to track complex, multi-step conversions and measure time-to-convert natively. Users can build highly customizable, multi-step funnel reports to analyze user flow and identify precise drop-off points in the conversion journey. Using the Fallout visualization within Workspace, analysts can build highly complex, multi-dimensional funnels that cross different sessions and device types. This conversion analysis feature features one of the most powerful, highly customizable funnel analysis engines on the market, tracking conversion steps across any timeline or sequence. E-commerce Tracking E-commerce tracking provides a dedicated, structured schema for tracking the complete e-commerce lifecycle, from item views and cart additions to final purchases and refunds. While it lacks predefined retail templates, e-commerce workflows can be deeply analyzed using its flexible custom event schema and conversion funnels. The e-commerce framework provides a dedicated, structured e-commerce framework to track complete transaction lifecycles, from product views to cart abandonment and revenue. The e-commerce framework handles e-commerce measurement through its flexible custom event tracking rather than providing rigid, pre-built retail templates. E-commerce tracking includes a dedicated e-commerce module to track product views, cart actions, and completed revenue, ensuring sensitive financial data remains secure. While exceptionally strong at analyzing the purchase funnel, it requires custom event configuration rather than providing a pre-built retail schema. Identity Resolution The platform uses a blended approach, prioritizing user-provided IDs, then vendor signals, and finally device IDs to deduplicate users across devices. The platform handles cross-device tracking by allowing developers to explicitly map anonymous session IDs to authenticated internal user IDs. The identity framework relies heavily on deterministic User IDs set upon login to track users across devices, avoiding the use of opaque third-party data graphs. The platform employs a robust identity management system that seamlessly merges anonymous device history with authenticated user profiles. The platform uses its robust Customer Data Platform (CDP) and identity graphing capabilities to stitch complex cross-device user profiles together. The platform uses a sophisticated ID resolution framework, automatically merging anonymous device IDs with authenticated User IDs into a single profile. GDPR / CCPA Compliance out-of-the-box Its compliance features offers features like Consent Mode, IP redaction, and data deletion requests, but full compliance relies heavily on proper implementation by the user. The platform offers EU data residency and open-source deployment options to ensure strict compliance with global privacy regulations. The platform is specifically engineered for strict data privacy compliance, offering comprehensive data anonymization and user consent management tools. The platform provides comprehensive compliance tools, including a dedicated API to automatically process user data deletion requests. The platform is built natively for absolute privacy compliance, featuring an integrated Consent Manager to strictly govern data collection based on user choices. The vendor provides a comprehensive Privacy Service API, allowing enterprises to manage complex data access and deletion requests across their entire ecosystem. The platform provides robust data governance tools, including strict PII redaction and automated APIs to handle complex data deletion requests. Mobile app analytics App tracking is handled natively through deep Firebase integration, providing a unified reporting structure for both web and mobile platforms. This mobile analytics capability provides robust support for mobile app measurement via dedicated SDKs, unifying mobile behavior, feature flags, and session replays. The app measurement setup is a premier tool for mobile measurement, perfectly tailored to track complex, event-driven behaviors across iOS and Android applications. The platform supports native mobile app tracking via iOS and Android SDKs, fully integrated with its rigorous privacy and consent management framework. App tracking is fully integrated through robust SDKs, offering deep lifecycle reporting and highly specialized mobile conversion metrics. Mobile app analytics is a market leader in mobile app measurement, offering deep insights into complex in-app behaviors, lifecycle stages, and version adoption. Audience Segmentation Users can create highly specific audience segments based on behavior, demographics, and predictive metrics, which seamlessly sync with Google Ads. Users can build highly complex, dynamic behavioral cohorts and instantly use them to target A/B tests or feature flags. Users can create highly granular custom segments using virtually any available dimension or event, though they apply strictly to historical analysis. Analysts can build complex user cohorts based on detailed behavioral histories and seamlessly export them to external marketing platforms. Analysts can construct highly granular audience segments using complex behavioral and demographic rules, applicable across all historical reports. Analysts can build exceptionally complex, sequential audience segments in real-time, which can be instantly activated across the marketing cloud. Users can create highly dynamic behavioral segments based on intricate combinations of past actions, predicted behaviors, and user properties. Cookieless Ping / Consent Mode This platform utilizes Consent Mode to send anonymized, non-identifiable data signals when users deny cookie tracking. These signals feed into machine learning models to fill measurement gaps rather than tracking individual user journeys. The cookieless setup offers privacy-first, cookieless tracking out of the box, utilizing device fingerprinting and anonymized data to measure traffic without consent banners. Cookieless measurement natively supports fully cookieless tracking mechanisms, ensuring robust data collection while strictly adhering to complex European privacy laws. Path Exploration / User Flows 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. The Paths tool visualizes organic user navigation, allowing teams to map journeys based on pageviews, custom events, or screen names. The platform offers a dedicated premium pathing plugin to visualize sequential user journeys across pages and events. The Flows report visually maps out complex user navigation, revealing exactly what users do immediately before or after a target event. The platform offers a visual User Flow report to analyze sequential navigation patterns and identify how visitors move between specific pages and events. The Flow visualization maps extensive user journeys, allowing analysts to track the sequence of page views, custom variables, or specific user actions. The Pathfinder tool visually maps all possible user journeys branching out from a starting event or converging toward a target goal. Cohort & Retention Analysis The cohort tool enables teams to group users by shared characteristics (like acquisition date) to track retention, engagement, and conversion decay over time. The platform provides robust cohort and retention analysis, allowing teams to group users by complex behavioral triggers over customized timeframes. Available via a premium plugin, this feature allows teams to group users by acquisition date to track long-term retention and engagement decay. Advanced retention reports allow teams to track user loyalty and churn by grouping users based on highly specific behavioral triggers. The cohort reporting feature groups users by their initial acquisition date to measure long-term retention and returning user behavior. The platform provides advanced cohort tables where analysts can track user retention, engagement, or recurring revenue based on highly specific inclusion criteria. Advanced cohort capabilities allow teams to group users by complex behavioral triggers and track their long-term retention and engagement decay. Attribution Modeling The platform uses data-driven, machine learning models to distribute conversion credit across multiple marketing touchpoints in a user's journey. The built-in Multi-Channel Conversion Attribution feature allows users to evaluate campaign performance using various standard attribution models. Multi-channel attribution reports allow marketers to apply various standard models (like First Click or Linear) to understand campaign performance. The platform provides an exceptionally robust Attribution IQ feature, allowing analysts to apply and compare multiple rule-based and algorithmic models retroactively. Raw Data Export (BigQuery/S3) Users can export their complete, unsampled event data seamlessly and at no additional platform cost via a native integration with Google BigQuery. The Data Pipelines feature allows seamless, automated export of raw, unsampled event data to external warehouses like BigQuery or S3. Users can easily export raw, unsampled hit-level data via direct database access or comprehensive APIs without paying premium data-warehousing fees. Enterprise users can automatically route raw, unsampled event streams to modern data warehouses like Snowflake, BigQuery, or Amazon S3. Users can easily export raw, unsampled session and event data via an API or direct integration with cloud data warehouses like BigQuery. The Data Feeds feature provides robust, automated delivery of unsampled, raw event data to enterprise data warehouses or cloud storage environments. Enterprise users can seamlessly route raw, user-level event streams to external data warehouses like Snowflake or Amazon S3 via native pipelines. Native SDKs 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. The platform offers an extensive suite of open-source SDKs for web, mobile, and backend environments, deeply integrated with feature flags and session recording. The platform provides robust, open-source SDKs for a wide array of mobile, web, and server-side environments, ensuring reliable event streaming. Native mobile tracking provides dedicated, privacy-focused SDKs for iOS and Android, allowing for secure tracking of mobile application lifecycles and custom events. The platform offers extensive, highly reliable native SDKs for iOS, Android, and numerous other environments, designed specifically for product-centric event streaming. 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 Administrators can configure how long user-level and event-level data is stored before it is automatically deleted from the platform's servers. Data retention policies are flexible, with standard cloud plans offering 1 to 7 years of retention, and self-hosted instances providing limitless storage. Organizations have absolute control over their data retention policies, with the ability to store granular historical data indefinitely if legally permissible. Standard enterprise contracts allow for five years of data retention, providing robust historical depth for long-term product analysis. Enterprise clients have extensive control over data retention policies, with options to retain raw data for 25 months or longer, depending on the contract. Enterprise contracts govern customizable data retention periods, typically ranging from 25 to 37 months, though extended retention is available for historical analysis. The platform generally retains granular, user-level behavioral data indefinitely, supporting multi-year historical analysis for enterprise accounts. Custom Dashboard Builder 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. Dashboards are highly customizable, collaborative workspaces that support SQL queries, Markdown text, and embedded session recordings. The platform features a highly modular, drag-and-drop dashboard builder, allowing users to consolidate numerous reports into a single unified view. Users can build interactive, highly shareable "Boards" that consolidate multiple reports, metrics, and text blocks into a single view. The analytics interface features a flexible, widget-based dashboard builder, allowing teams to construct personalized views of critical business KPIs. Analysis Workspace serves as a highly advanced, drag-and-drop environment for building dynamic, interactive dashboards and deep custom reports. The platform offers dynamic, collaborative workspaces and custom dashboards tailored for cross-functional product and growth teams. 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. The platform offers an exceptionally detailed live view, providing a continuous, unsampled stream of individual visitor actions as they occur. Real-time dashboards provide immediate, live visibility into active visitor counts, their geographic locations, and the specific events they are triggering. Real-time reporting delivers up-to-the-minute data on traffic and custom events, though it requires specific configuration for the metrics to be monitored live. Custom Data Models Custom data modeling operates entirely on an event-driven schema, allowing for unlimited custom event definitions rather than relying on rigid session tracking. The data model fundamentally replaces rigid session-based tracking with an open, event-driven schema tailored to unique product workflows. The data model operates on a profoundly flexible, variable-driven schema, allowing data architects to design a bespoke analytics structure from the ground up. This schema design relies on a flat, highly flexible event-driven schema, completely replacing rigid session-based web analytics models. Automated Schema Management The Data Management feature provides a centralized dictionary to verify, annotate, and govern custom events and properties across the organization. The native Lexicon feature acts as a central data dictionary, allowing administrators to manage, govern, and validate the event tracking schema. The native Data integration tool provides robust schema governance, automatically flagging unexpected events and preventing taxonomy bloat. Built-in A/B Testing The experimentation framework uniquely integrates A/B testing and multivariate experimentation directly into the analytics platform alongside feature flags and session replay. Built-in A/B testing provides an integrated A/B testing framework to run experiments directly within the analytics platform, avoiding third-party data discrepancies. This testing capability tightly integrates with external A/B testing platforms, providing deep behavioral analysis of experiment results natively within the dashboard. Built-in A/B testing tightly integrates with a native Experiment module, allowing teams to analyze A/B test results using deep 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. The filtering system automatically filters known spam and bot traffic based on an internal list, maintaining basic data accuracy without manual configuration. Bot filtering utilizes an automated exclusion system based on established bot libraries, keeping analytics data clean without requiring complex manual rules. Automated traffic filtering offers a multi-layered bot filtering system, combining IAB list exclusions with the ability to define highly customized rules for specific traffic anomalies. Anomaly Detection The platform utilizes machine learning to automatically establish baselines and flag statistically significant deviations in core metrics like traffic or revenue. Anomaly detection automatically highlights statistical outliers in event trends and correlates them directly with qualitative session recordings. The platform includes automated anomaly detection on core metric charts, visually highlighting unexpected spikes or drops in event volume. The detection engine uses proprietary statistical modeling to automatically identify and flag significant deviations in data trends across both standard and custom metrics. Anomaly Detection automatically highlights statistically significant deviations in event volumes or conversion rates within standard trend charts. Predictive Analytics (Churn/LTV) Machine learning models automatically predict future user actions, such as purchase probability or churn risk, based on historical behavior patterns. The Signal report identifies which specific user behaviors and actions correlate most strongly with long-term retention or conversion. Advanced machine learning algorithms provide predictive modeling, churn analysis, and intelligent alerts natively within the reporting interface. Machine learning models predict future user behavior, automatically generating cohorts of users with high probabilities of churn or conversion. SSO Support Single Sign-On (SSO) is supported via Google Workspace or Cloud Identity, allowing enterprise teams to centralize authentication and access control. Secure access is managed through native SAML 2.0 Single Sign-On, allowing seamless integration with corporate identity providers like Okta or Azure AD. Enterprise authentication is supported through premium plugins, enabling integration with LDAP, SAML, and major SSO providers. Secure enterprise access is centrally managed via SAML 2.0 Single Sign-On, integrating with major identity providers like Okta and Azure AD. The platform provides robust enterprise security with native support for SAML 2.0 Single Sign-On, integrating smoothly with major identity providers. Enterprise-grade Single Sign-On (SSO) is centrally managed through the Adobe Admin Console, supporting seamless SAML 2.0 integrations. Secure enterprise access is managed through native SAML 2.0 Single Sign-On, integrating directly with major identity management providers. 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.