Joseph Anady's Tier 8: A Playbook for Modern Analytics Setup

Joseph Anady's 14-tier SEO stack includes a detailed framework for data, analytics, and conversion. This Tier 8 playbook outlines the specific steps for implementing GA4, GSC, GTM Server-Side, and Consent Mode v2.

Joseph Anady, founder of ThatDevPro, details a comprehensive 14-tier Engine Optimization stack. Tier 8, focused on Data, Analytics & Conversion, outlines a multi-step implementation for Google Analytics 4 (GA4), Google Search Console (GSC), Google Tag Manager (GTM) Server-Side, and Consent Mode v2. This framework positions first-party data, server-side tracking, and consent management as foundational, not advanced, for any business operating in Google's 2026 privacy-first ecosystem.

The approach emphasizes a closed loop between visibility and revenue, asserting that cookieless tracking and AI-driven personalization necessitate robust data infrastructure. The implementation requires prior completion of Tiers 1-7 of ThatDevPro's stack, indicating a layered, systematic build-out of a website's technical and analytical capabilities. All actions described execute across website pages, server configurations, tracking templates, and supporting infrastructure.

What They Did

Tracking Foundation: GA4 Setup

Anady's framework begins with a detailed GA4 implementation, prioritizing privacy compliance and first-party data collection. The core recommendation is to install GA4 via GTM Server-Side. This method aims to enhance data control and mitigate client-side tracking limitations. Once installed, the setup involves enabling Enhanced Measurement for standard user interactions such as page views, scrolls, outbound clicks, site searches, video engagement, and file downloads. This ensures a baseline understanding of user behavior without additional custom configuration.

Beyond basic tracking, the playbook specifies configuring all recommended events. These include sign_up, login, generate_lead, purchase, and view_item, which are critical for e-commerce and lead generation businesses to measure conversion funnels accurately. Custom dimensions are also a key component, allowing for granular data segmentation. Anady suggests dimensions like content cluster, journey stage, user segment, author, and content type. These dimensions enable deeper analysis of content performance and user progression through the customer journey.

Cross-domain tracking is configured for all owned properties, ensuring a unified view of user behavior across a founder's digital assets. The GA4 setup also includes crucial integrations: linking to Google Search Console for organic search insights, Google Ads for campaign performance, and BigQuery for unsampled data export and SQL-based custom analysis. Finally, Looker Studio dashboards are set up, tailored to specific stakeholder roles such as executive, marketing, SEO, and content teams, ensuring relevant data is accessible to each department.

Google Search Console: Performance Analysis

The framework integrates Google Search Console (GSC) as a primary tool for understanding organic search performance and identifying technical SEO issues. The initial steps involve verifying property ownership and submitting sitemaps to Google. This ensures that Google can effectively crawl and index the website's content. The core of GSC utilization, as outlined, is query and coverage analysis. This involves regularly reviewing search queries that drive traffic, monitoring keyword performance, and identifying opportunities for content optimization.

Coverage analysis focuses on identifying indexing issues, such as pages excluded from Google's index, crawl errors, or pages with warnings. By addressing these issues, founders can ensure their content is discoverable. Anady's approach emphasizes using GSC data to inform content strategy and technical improvements, directly linking search visibility to overall business objectives. This analysis is supported by the framework-gscanalysis.md document within ThatDevPro's internal library, which provides detailed audit rubrics.

Google Tag Manager: Server-Side Implementation

Implementing GTM Server-Side is a central tenet of Anady's Tier 8. This method moves data processing from the user's browser to a cloud server, offering several advantages. It improves data quality by reducing client-side blocking, enhances privacy by allowing for more controlled data transmission, and can improve website performance by offloading some processing. The setup involves creating a GTM Server-Side container and configuring a custom server-side endpoint.

Within the server container, clients are configured to receive data from various sources, such as GA4. Tags are then deployed from the server container to send data to destinations like GA4, Google Ads, or other marketing platforms. This server-side approach allows for greater control over what data is collected and how it is shared, aligning with the privacy-first principles of the framework. It also enables the implementation of advanced tracking scenarios and data transformations before data is sent to its final destination.

Consent Mode v2: Privacy Compliance

Consent Mode v2 is integrated to manage user consent for data collection, particularly in light of evolving privacy regulations. This ensures that tracking respects user choices regarding cookies and personal data. The implementation involves configuring the website's Consent Management Platform (CMP) to interact with Google's Consent Mode API. When a user grants or denies consent, Consent Mode adjusts the behavior of Google tags accordingly.

For instance, if a user denies consent for analytics cookies, GA4 will still send cookieless pings with aggregated, non-identifying data, allowing for some level of measurement while respecting privacy. If consent is granted, full tracking is enabled. This nuanced approach ensures compliance while maximizing data collection within legal boundaries. The framework emphasizes that Consent Mode v2 is crucial for maintaining data integrity and avoiding data loss due to privacy restrictions, especially for EU/EEA users.

What We'd Change

Anady's framework provides a technically sound, comprehensive approach to analytics implementation, particularly for larger organizations or those with significant traffic. However, for early-stage founders or small teams, certain aspects might introduce unnecessary complexity and overhead without a proportional return on investment.

The recommendation for GTM Server-Side, while offering benefits in data quality and privacy, requires a dedicated server environment and additional technical expertise to set up and maintain. For a solo founder validating a product, the immediate value of server-side tracking over a standard client-side GA4 implementation might not justify the increased cost and development time. A simpler, client-side GA4 setup, perhaps with a basic GTM container, could provide sufficient data for initial product-market fit validation and growth experiments.

Similarly, the emphasis on Customer Data Platforms (CDPs) as "table stakes" might be premature for many startups. While CDPs offer powerful data unification, their implementation and ongoing management represent a significant investment. Founders should consider whether their current data volume and complexity truly necessitate a CDP, or if direct integrations and a well-structured GA4 setup can meet their needs initially. The framework's detailed custom dimensions and BigQuery export, while valuable for deep analysis, can also be overkill for a business still defining its core metrics and user segments. Prioritizing a few key conversion events and standard dimensions might be more effective in the early stages.

Landing

Establishing a robust analytics foundation is no longer optional; it is a strategic imperative for any digital business. Anady's Tier 8 framework offers a meticulous blueprint for navigating the complexities of modern data collection, privacy compliance, and performance measurement. While the full extent of its recommendations may best suit established operations, the underlying principles—prioritizing first-party data, understanding user consent, and integrating data sources for a holistic view—remain critical for founders at every stage. Implementing these core tenets ensures that every optimization decision is grounded in reliable data, fostering sustainable growth in a privacy-conscious landscape.

Pull quote: “The core recommendation is to install GA4 via GTM Server-Side.”