A New-Generation Platform for Website & Digital Experience Analytics

Google Analytics(GA4)

Google Analytics 4 (GA4) is Google’s next-generation analytics platform designed for modern enterprises.
Unlike traditional pageview-based analytics, GA4 is built around users and events, reflecting how people truly interact with websites and digital services today. GA4 goes beyond “traffic reporting” and helps businesses understand:

  • Where users come from
  • What they actually do on websites or apps
  • Which interactions drive real conversions and business value

Google Analytics(GA4)

Core Value: Observe → Understand → Optimize

Observe | Capture behavior comprehensively

Observe | Capture behavior comprehensively

  • Real-time tracking of website and app interactions
  • Monitoring key events and conversions

Understand | Interpret user behavior

Understand | Interpret user behavior

  • Analyze journeys, funnels, and drop-off points
  • Compare sources, content, and audience segments

Optimize | Continuously improve performance

Optimize | Continuously improve performance

  • Optimize content, SEO, and conversion flows with data
  • Support marketing and product decisions

Why Do Enterprises Need Google Analytics (GA4)?

Traffic grows, but conversion performance is unclear

Rising traffic without clear insight into conversion rates and business outcomes makes ROI hard to evaluate.

Lack of a complete user journey view

Fragmented cross-device and cross-channel data prevents a full understanding of the customer journey.

SEO, content, and campaign performance are hard to quantify

Disconnected metrics make it difficult to evaluate and compare performance consistently.

Different teams rely on different reports

Marketing, product, and management teams lack a unified data language, slowing decision-making.

Decisions rely heavily on intuition

Without real-time, actionable insights, strategic decisions are often experience-driven rather than data-driven.

Key trends and anomalies are detected too late

Without real-time visualization, issues are often discovered only in hindsight.

GA4 enables enterprises to operate on a single, unified data foundation for marketing, product, and executive decisions.

GA4 enables enterprises to operate on a single, unified data foundation for marketing, product, and executive decisions.

 

Key Differences Between GA4 and Traditional Analytics

Event-based data model

All interactions—clicks, scrolls, video views, form submissions, purchases—are events, fully customizable to business goals.

User-centric, not session-centric

GA4 reconstructs complete cross-device, cross-channel journeys more accurately.

Built for privacy and a cookieless future

Consent Mode and behavioral modeling maintain analytical value under privacy constraints.

Built-in AI and predictive analytics

GA4 not only analyzes the past but predicts future behavior, such as conversion and churn probability.

Core Features

Core Features

Event & Conversion Tracking 01

A highly flexible event-based data model allows enterprises to define meaningful events and conversions based on real business objectives, rather than relying on fixed metrics.

Lifecycle & Realtime Reporting 02

Track the complete user lifecycle—from acquisition and engagement to retention and revenue—while monitoring key interactions in real time across websites and apps.

Explorations (Advanced Analysis) 03

Supports funnel analysis, path exploration, segment overlap, and cohort comparisons, making it ideal for advanced analysis and executive reporting.

Ecommerce & Content Performance Analysis 04

Measures the actual contribution of products, content, and interactive elements across the user journey to optimize merchandising, content strategy, and conversions.

Audience & Remarketing Management 05

Create high-value, at-risk, or behavior-based audiences and activate them across marketing platforms for precise remarketing and personalization.

2025–2026 GA4 Key Updates

AI Analytics Advisor

AI Analytics Advisor

GA4 has introduced an AI-powered analytics advisor that allows users to ask questions using natural language, such as:

  • Why did the conversion rate drop this week?
  • Which sources deliver the highest-value users?
The system automatically generates key insights and explanations, reducing reliance on specialized analysts and enabling executives to understand data more quickly.

Automated Insights & Anomaly Detection

Automated Insights & Anomaly Detection

GA4 proactively monitors data anomalies, such as:

  • Sudden spikes or drops in traffic
  • Unexpected changes in conversion rates
  • Significant performance differences across specific sources
It also attempts to explain potential causes, helping businesses identify issues in real time rather than through retrospective analysis.

Predictive Analytics & Future Metrics

Predictive Analytics & Future Metrics

By 2025–2026, GA4’s predictive capabilities have matured and now support:

  • Purchase probability prediction
  • Churn risk assessment
  • Forecasted revenue and potential value
This transforms GA4 from a reporting tool into a strategic enabler for planning and budgeting.

Advertising & Cost Data Integration (Cross-platform ROI)

Advertising & Cost Data Integration (Cross-platform ROI)

GA4 integrates cost data from both Google and non-Google advertising platforms, allowing enterprises to:

  • Compare true ROI across platforms
  • Evaluate cross-channel investment performance
  • Move beyond impressions and clicks alone
For enterprises, this represents a key step toward data-driven marketing governance.

Integration Value with CMS, SEO & GEO

CMS × GA4

Transforms content management into a data-driven content optimization platform.

SEO × GA4

Evaluates the quality of organic traffic, not just rankings or volume.

GEO × GA4

Measures user behavior from AI-driven and emerging search channels.

Typical Use Cases

Corporate Websites

Corporate Websites 01

Analyze content performance, CTAs, and form conversions to validate the effectiveness of website revamps and content strategies.

E-commerce Platforms

E-commerce Platforms 02

Track the entire purchase journey, identify key conversion and drop-off points, and optimize revenue and conversion rates.

B2B Enterprises

B2B Enterprises 03

Evaluate lead sources and engagement quality to understand prospect interaction paths prior to conversion.

Multi-market / Multilingual Websites

Multi-market / Multilingual Websites 04

Consistently compare traffic, engagement, and conversion performance across markets and languages to support regional operations.

Executive Decision Support

Executive Decision Support 05

Leverage a unified data foundation to quickly assess overall digital performance and guide resource allocation and strategic decisions.

Frequently Asked Questions (FAQ)

Q1: Is Google Analytics (GA4) free? Do enterprises still need implementation services?

GA4 itself is free. However, to accurately measure key behaviors, conversions, and multi-site data, enterprises typically require professional planning for event models, reporting structures, and system integrations to unlock real value.

Q2: What are the fundamental differences between GA4 and Universal Analytics?

GA4 is built around users and events rather than sessions, making it better suited for cross-device and cross-channel analysis, with native support for privacy compliance and predictive analytics.

Q3: Is GA4 suitable for mid-sized, large, or multi-market enterprises?

Yes. GA4 supports multi-site, multilingual, and cross-market analysis and can be paired with GA 360 to meet high-traffic and enterprise governance requirements.

Q4: Can GA4 be used to analyze content and SEO performance?

Yes. GA4 measures not only organic traffic volume but also engagement depth and conversion quality, helping enterprises identify which content and keywords drive real business value.

Q5: Does GA4 comply with privacy regulations?

GA4 includes built-in Consent Mode and data modeling capabilities to help enterprises adapt to privacy regulations and browser limitations while maintaining analytical usability.

Q6: How long does a typical GA4 implementation take?

Timelines vary by organization size and requirements. Implementations are usually phased—starting with core tracking and reports, followed by deeper event design, analysis, and optimization.

Why Choose LeadsTech for Google Analytics Implementation?

KPI-driven GA4 Architecture Design

Events and conversions are designed around real business KPIs, ensuring insights—not just raw data—drive decisions.

Analytics Integrated with CMS & Digital Experience

We help enterprises measure content, interactions, and conversions so data directly supports content optimization and experience improvement.

Cross-department, Decision-ready Insights

Marketing, IT, and leadership teams operate on a shared data framework, improving alignment and decision efficiency.

Enterprise Implementation Experience & Ongoing Optimization

With proven experience across large-scale and complex websites, we provide end-to-end support—from initial setup to continuous optimization—ensuring scalability and long-term maintainability.

Success Case Studies

Tourism Promotion Official Website Development & Analytics

In the tourism promotion website project, LeadsTech implemented GA4 and redesigned the user interaction and conversion tracking framework. The solution enabled the client to clearly understand the performance of different content and campaigns, and to compare results across multiple markets and languages—making data a core driver of website operations and promotional decision-making.

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Online Forms Design & Behavioral Analytics Integration

In another engagement, we deeply integrated GA4 with an online form workflow to accurately track form views, completions, and submissions. This helped the client identify critical drop-off points and continuously optimize both form experience and conversion efficiency.

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