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02 / SEO Analytics / SaaS

SEO Analytics Platform

A Laravel-based analytics platform that brings Google Search Console and GA4 data into one centralized reporting experience with scalable background processing.

Role Full-Stack Developer
Platform Analytics SaaS
Integrations GSC + GA4
Architecture Queue-Based Processing
Laravel PHP GSC GA4 Google APIs BigQuery Queues

Project Overview

The application is designed to centralize SEO and website analytics information from Google Search Console and Google Analytics 4. The architecture supports multiple sites, multiple Google accounts, OAuth authentication, scheduled background data retrieval, daily metric aggregation, and reporting across search queries, pages, countries and devices.

Application SEO Analytics SaaS
Backend Laravel
Data Sources GSC + GA4
Processing Queues / Background Jobs
The Challenge

One source of truth across Google products.

SEO data often exists across multiple Google products, accounts and properties. Turning that information into one useful reporting experience requires more than simply displaying API responses.

01

Multiple Data Sources

Google Search Console and GA4 provide different metrics, dimensions and data structures.

02

Google Authentication

Users need secure OAuth authorization while access tokens must remain usable for future synchronization.

03

Large Data Processing

Analytics data can involve many dates, queries, pages, countries and devices.

04

Useful Reporting

Raw API responses need to be transformed into understandable daily metrics, comparisons and dashboards.

Data Architecture

From Google APIs to actionable reporting.

Queries Pages Countries Devices Metrics
Analytics Dashboard

One reporting experience. Multiple perspectives.

Core Capabilities

Analytics infrastructure built beyond the dashboard.

01 Google OAuth
02 Google Search Console Integration
03 GA4 Integration
04 Multi-Account Architecture
05 Multiple Site Management
06 Queue-Based Processing
07 Daily Metric Aggregation
08 Search Query Reporting
09 Page Performance Reporting
10 Country Analysis
11 Device Analysis
12 BigQuery-Ready Workflows
Data Processing Pipeline

Built to process analytics asynchronously.

1 Scheduled Sync
2 API Request
3 Queue Batch
4 Google API
5 Raw Metrics
6 Transform
7 Aggregate
8 Store
9 Dashboard

API operations should not block dashboard requests.

Large date ranges can be processed separately.

Synchronization can be split into manageable jobs.

Processed data can later power reporting.

Reporting Dimensions

Understand performance from every angle.

Queries

Search terms that generate impressions and clicks.

Pages

Landing-page search performance.

Countries

Geographical performance segmentation.

Devices

Desktop, mobile and tablet distribution.

Engineering Challenges

Problems and how they were solved.

01

Google OAuth & Token Lifecycle

Problem

Google API integrations require authorized access that must continue working beyond the initial login.

Solution

Structure the integration around OAuth authorization and token refresh handling so connected Google accounts can continue synchronizing data.

02

Multiple Google Accounts

Problem

A SaaS analytics application may need to work with multiple connected Google accounts and properties.

Solution

Keep account, site and integration relationships separated so analytics data remains associated with the correct source.

03

API Data Volume

Problem

Search analytics can include large combinations of dates, queries, pages, countries and devices.

Solution

Move synchronization and processing into background jobs rather than performing expensive API operations directly inside dashboard requests.

04

Data Aggregation

Problem

Raw analytics rows are not sufficient for fast, understandable reporting.

Solution

Process data into daily reporting structures that can support metric summaries and comparisons.

05

GSC + GA4 Integration

Problem

Search Console and GA4 represent different parts of website performance.

Solution

Treat them as independent data sources while presenting their useful metrics inside one reporting experience.

Technology Stack

Tools behind the platform.

Laravel Application framework
PHP Backend language
Google OAuth Authentication
Google Search Console API Search data source
Google Analytics 4 Analytics data source
BigQuery Data warehouse ready
Laravel Queues Background processing
MySQL Relational database
Outcome

Search and analytics data, brought into one system.

The platform establishes the foundation for a scalable SEO analytics SaaS by combining Google account connectivity, Search Console reporting, GA4 integration, background data processing and centralized dashboard experiences.

  • Google account connectivity
  • Multi-site architecture
  • GSC reporting
  • GA4 analytics
  • Asynchronous processing
  • Centralized reporting