Head-to-Head

Google Analytics 4 vs Simple Analytics

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Side-by-side feature matrix for these two tools with per-row priority sliders. Adjust weights in the last column to recalculate Platform SCORE instantly.

Full category matrix: Website Analytics

Updated: July 23, 2026

Google Analytics 4 Visit Website ↗	Simple Analytics Visit Website ↗	Priority
Custom Event & Parameter Tracking
Utilizes a flexible, parameter-based event model for tracking user interactions.	Tracks basic occurrences like button clicks using a straightforward JavaScript array.	10
Funnel & Drop-off Analysis
Allows creation of custom funnel explorations to track user steps and drop-off rates.	Basic funnel analysis lacking deep segmentation.	10
E-commerce Tracking
E-commerce tracking uses a structured schema for complete lifecycle tracking.	Offers basic e-commerce tracking for sales and revenue, lacking deep analysis.	10
Identity Resolution
Utilizes a blended approach prioritizing user-provided IDs, then vendor signals, and device IDs.		10
GDPR / CCPA Compliance
Its compliance features include Consent Mode, IP redaction, and data deletion requests, but full compliance relies heavily on proper implementation by the user.	Guarantees privacy compliance by design, eliminating PII collection and cookie banners.	10
Mobile app analytics
App tracking is handled natively through deep Firebase integration, providing a unified reporting structure for both web and mobile platforms.		10
Audience Segmentation
Creates specific audience segments that sync with Google Ads automatically.		10
Cookieless Ping / Consent Mode
Utilizes Consent Mode to send anonymized data signals when cookie tracking is denied, aiding in measurement gap filling.	Measures traffic without tracking individual users or collecting IP addresses.	9
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.		9
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.		9
Attribution Modeling
Uses data-driven models to distribute conversion credit across marketing touchpoints.		9
Raw Data Export (BigQuery/S3)
Exports complete, unsampled event data via native integration with Google BigQuery at no additional cost.	Exports aggregated dashboard metrics via CSV or JSON API, lacking raw user-level data.	9
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.		8
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.		8
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.	The vendor actively encourages bypassing ad-blockers by providing easy-to-use tools for setting up a custom, first-party subdomain.	8
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.	Indefinitely retains anonymized traffic data, free from historical reporting limits.	8
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.		7
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.	Provides basic real-time reporting for quick traffic insights, but lacks depth and customization.	7
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.	Automated traffic filtering maintains a rigorous, server-side exclusion list to automatically block bots and referrer spam, ensuring clean aggregate data.	6
Anomaly Detection
Utilizes machine learning to establish baselines and flag deviations in core metrics.		6
Predictive Analytics (Churn/LTV)
Machine learning models predict future user actions like purchase probability or churn risk.		6
SSO Support
Single Sign-On (SSO) is supported via Google Workspace or Cloud Identity, allowing enterprise teams to centralize authentication and access control.		6
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.		5
Platform SCORE Google Analytics 4 7.5 / 10 Simple Analytics 3.5 / 10

Features	Google Analytics 4 Visit Website ↗	Simple Analytics Visit Website ↗	Your Priority
Custom Event & Parameter Tracking	Utilizes a flexible, parameter-based event model for tracking user interactions.	Tracks basic occurrences like button clicks using a straightforward JavaScript array.	Priority for Custom Event & Parameter Tracking 10 0 10
Funnel & Drop-off Analysis	Allows creation of custom funnel explorations to track user steps and drop-off rates.	Basic funnel analysis lacking deep segmentation.	Priority for Funnel & Drop-off Analysis 10 0 10
E-commerce Tracking	E-commerce tracking uses a structured schema for complete lifecycle tracking.	Offers basic e-commerce tracking for sales and revenue, lacking deep analysis.	Priority for E-commerce Tracking 10 0 10
Identity Resolution	Utilizes a blended approach prioritizing user-provided IDs, then vendor signals, and device IDs.		Priority for Identity Resolution 10 0 10
GDPR / CCPA Compliance	Its compliance features include Consent Mode, IP redaction, and data deletion requests, but full compliance relies heavily on proper implementation by the user.	Guarantees privacy compliance by design, eliminating PII collection and cookie banners.	Priority for GDPR / CCPA Compliance 10 0 10
Mobile app analytics	App tracking is handled natively through deep Firebase integration, providing a unified reporting structure for both web and mobile platforms.		Priority for Mobile app analytics 10 0 10
Audience Segmentation	Creates specific audience segments that sync with Google Ads automatically.		Priority for Audience Segmentation 10 0 10
Cookieless Ping / Consent Mode	Utilizes Consent Mode to send anonymized data signals when cookie tracking is denied, aiding in measurement gap filling.	Measures traffic without tracking individual users or collecting IP addresses.	Priority for Cookieless Ping / Consent Mode 9 0 10
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.		Priority for Path Exploration / User Flows 9 0 10
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.		Priority for Cohort & Retention Analysis 9 0 10
Attribution Modeling	Uses data-driven models to distribute conversion credit across marketing touchpoints.		Priority for Attribution Modeling 9 0 10
Raw Data Export (BigQuery/S3)	Exports complete, unsampled event data via native integration with Google BigQuery at no additional cost.	Exports aggregated dashboard metrics via CSV or JSON API, lacking raw user-level data.	Priority for Raw Data Export (BigQuery/S3) 9 0 10
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.		Priority for Native SDKs 8 0 10
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.		Priority for Data Sampling Control 8 0 10
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.	The vendor actively encourages bypassing ad-blockers by providing easy-to-use tools for setting up a custom, first-party subdomain.	Priority for Proxy Deployment / Custom Domain 8 0 10
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.	Indefinitely retains anonymized traffic data, free from historical reporting limits.	Priority for Data Retention Limits 8 0 10
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.		Priority for Custom Dashboard Builder 7 0 10
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.	Provides basic real-time reporting for quick traffic insights, but lacks depth and customization.	Priority for Real-time Reporting 7 0 10
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.	Automated traffic filtering maintains a rigorous, server-side exclusion list to automatically block bots and referrer spam, ensuring clean aggregate data.	Priority for Bot Filtering 6 0 10
Anomaly Detection	Utilizes machine learning to establish baselines and flag deviations in core metrics.		Priority for Anomaly Detection 6 0 10
Predictive Analytics (Churn/LTV)	Machine learning models predict future user actions like purchase probability or churn risk.		Priority for Predictive Analytics (Churn/LTV) 6 0 10
SSO Support	Single Sign-On (SSO) is supported via Google Workspace or Cloud Identity, allowing enterprise teams to centralize authentication and access control.		Priority for SSO Support 6 0 10
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.		Priority for Pre-built Industry Templates 5 0 10
Platform SCORE	7.5 / 10	3.5 / 10

Make your pick

Google Analytics 4

Google Analytics 4 is an analytics platform providing real-time data and tracking features for monitoring user behavior across websites and applications.

Visit Website ↗ Read Full Review

Simple Analytics

Simple Analytics is a website traffic tracking tool that collects data through cookieless pings, strictly adhering to privacy standards.

Visit Website ↗ Read Full Review