Google Analytics 4 (GA4) & Google Tag Manager (GTM) Setup
Clean data is the foundation of profitable marketing decisions. We design, implement, and audit enterprise GA4 properties and Google Tag Manager containers to capture accurate user journeys, e-commerce purchases, and qualified lead interactions.
Reliable Telemetry for Accurate Attribution and Marketing ROI
Making strategic marketing and product decisions based on broken, double-counted, or incomplete analytics data is like navigating in dense fog. The transition from legacy Universal Analytics to Google Analytics 4 (GA4) introduced a fundamentally different event-driven data model that confuses many marketing teams, resulting in missing conversion events, unconfigured funnels, and broken cross-domain tracking.
At Arvis Digital, we engineer enterprise-grade measurement architectures using Google Tag Manager (GTM) and Google Analytics 4. We eliminate tracking gaps by deploying clean dataLayer schemas, robust custom events, and privacy-compliant tracking that withstands modern browser privacy restrictions (Safari ITP, ad-blockers, and third-party cookie phaseouts).
From configuring advanced e-commerce monetization flows to integrating Google Ads enhanced conversions and building automated Looker Studio executive dashboards, our measurement systems ensure every marketing rupee spent can be traced to verifiable business value.
Who This Service Is Engineered For
- Businesses experiencing discrepancies between internal CRM leads and Google Analytics figures
- E-commerce merchants requiring purchase deduplication, dynamic revenue tracking, and checkout funnels
- Marketing teams running multi-channel campaigns (Google, Meta, LinkedIn) lacking unified attribution
- Organizations needing strict compliance with Google Consent Mode v2 and global privacy regulations
Operational & Business Problems We Solve
Missing or Inaccurate Conversion Data
We resolve unrecorded AJAX form submissions, untracked phone calls, and missing WhatsApp inquiries that leave marketing campaigns blind.
Broken E-commerce Purchase Tracking
We implement standardized dataLayer schemas to track view_item, add_to_cart, begin_checkout, and purchase with zero revenue discrepancies.
Spam, Self-Referrals & Cross-Domain Fractures
We clean up referral exclusion lists and configure cross-domain linking so payment gateway redirects (Razorpay, Stripe) do not break original attribution.
Non-Compliance with Consent Mode v2
We deploy Google Consent Mode v2 integrated with your Cookie Banner (CMP) to maintain ad measurement while strictly respecting user privacy choices.
Services & Solutions We Deliver
Explore the specific deliverables and technical competencies we bring to each engagement, customized for your requirements.
Complete GA4 Property & Stream Configuration
Setting up clean GA4 web and app data streams, data retention windows (extended to 14 months), custom dimensions, metrics, and Google Signals activation.
Google Tag Manager (GTM) Container Architecture
Deploying structured, maintainable GTM containers with custom triggers, variables, naming conventions, and version control governance.
Custom Event & Funnel Tracking Implementation
Tracking micro and macro conversions: PDF downloads, video watch milestones, button clicks, tab toggles, and multi-step lead qualification steps.
Enhanced E-commerce Measurement (dataLayer)
Engineering full e-commerce tracking: product impressions, cart updates, promo code usage, shipping selection, and purchase deduplication with transaction IDs.
Google Ads & Media Platform Linking
Linking GA4 with Google Ads, Merchant Center, and Search Console, importing primary conversion actions, and enabling Enhanced Conversions.
Google Consent Mode v2 & CMP Integration
Implementing consent state signals (ad_storage, analytics_storage, ad_user_data, ad_personalization) to safeguard remarketing and audience modeling.
Cross-Domain & Third-Party Gateway Tracking
Configuring clean measurement across multiple subdomains, partner portals, and payment processor redirects without resetting session attribution.
Automated Looker Studio Executive Dashboards
Building intuitive, real-time reporting dashboards that translate complex analytics tables into actionable visual KPIs for executives and stakeholders.
What You Receive
Every project agreement is backed by clear, tangible technical deliverables documented before work begins.
Complete GA4 Property Configuration & Data Stream Setup
Engineered Google Tag Manager (GTM) Web Container
Standardized dataLayer Architecture Specification
Verified Event Tracking for Forms, Buttons, and Downloads
Full E-commerce Tracking Validation (Catalog to Purchase)
Google Consent Mode v2 Integration & Verification
Interactive Looker Studio KPI Dashboard
Comprehensive Measurement Plan & Governance Documentation
Our Disciplined Delivery Approach
A structured, milestone-based methodology ensuring complete visibility, quality assurance, and accountability throughout.
Measurement Protocol & KPI Alignment
We document all business-critical conversion actions, key user milestones, and reporting requirements into a comprehensive Tracking Plan.
dataLayer Specification & Developer Briefing
We define the custom dataLayer JSON schemas required for your frontend developers or CMS to expose transaction and user context data.
GTM Container Construction & Trigger Configuration
Our certified analytics specialists build out tags, triggers, and variables inside Google Tag Manager, using staging environments for safety.
Cross-Device QA & Real-Time Debugging
We execute test transactions, submit test leads, and verify network payloads using Tag Assistant and GA4 DebugView across mobile and desktop browsers.
Production Publishing & Dashboard Delivery
We publish the GTM version to live production, link downstream advertising channels, and deliver customized Looker Studio reporting dashboards.
Sectors & Audiences We Support
We adapt our strategies and technical implementations to the specific commercial realities of diverse industries.
Businesses experiencing discrepancies between internal CRM leads and Google Analytics figures
Businesses experiencing discrepancies between internal CRM leads and Google Analytics figures
E-commerce merchants requiring purchase deduplication, dynamic revenue tracking, and checkout funnels
E-commerce merchants requiring purchase deduplication, dynamic revenue tracking, and checkout funnels
Marketing teams running multi-channel campaigns
Marketing teams running multi-channel campaigns (Google, Meta, LinkedIn) lacking unified attribution
Organizations needing strict compliance
Organizations needing strict compliance with Google Consent Mode v2 and global privacy regulations
Supported Technologies & Tools
Why Businesses Choose Arvis Digital
100% Trustworthy Marketing Data
Eliminating duplicate hits and unrecorded leads gives your team complete confidence when calculating channel ROI and allocating ad budgets.
Optimized Bidding on Google & Meta Ads
Feeding pristine conversion signals into advertising algorithms improves Smart Bidding efficiency and lowers your cost per acquisition.
Full Compliance with Global Privacy Laws
Consent Mode v2 ensures your tracking respects user preferences while allowing Google to model conversions for users who decline cookies.
Granular Customer Journey Visibility
Track every stage from initial discovery through micro-engagements, checkout friction, and repeat purchases with customized funnel explorations.
Future-Proof Measurement Architecture
Structured GTM containers make adding future marketing pixels, affiliate tags, and tracking scripts effortless without editing website source code.
Executive Clarity via Looker Studio
Replace manual spreadsheet exports with automated real-time dashboards that showcase revenue, leads, and channel efficiency at a glance.
Frequently Asked Questions
Direct answers regarding service scope, technical dependencies, project timelines, and commercial factors.
Why did we need to switch from Universal Analytics to GA4?
Google permanently deprecated legacy Universal Analytics in July 2023. GA4 is built on an event-driven data model designed for a cookieless future, unifying app and web user journeys, offering machine-learning predictive metrics, and providing free BigQuery raw data export. Proper configuration is essential to capture the same level of depth as legacy systems.
Can GTM and GA4 be set up without touching our website code?
A basic pageview tag can be deployed by placing the GTM script in your website header. However, for true commercial value—such as custom form tracking, e-commerce data (product IDs, cart values, transactions), and user state data—a structured dataLayer must be pushed from your site code or CMS. We provide exact, tested code snippets for your developers or handle the CMS integration directly.
What is Google Consent Mode v2 and is it mandatory?
Google Consent Mode v2 is mandatory if you run Google Ads or collect data from users in the European Economic Area (EEA), and it is rapidly becoming standard practice globally. It communicates user cookie consent status to Google tags. Without it, Google Ads will stop building remarketing audiences and cannot accurately model conversions for users who decline tracking.
How do you prevent duplicate purchase tracking in e-commerce stores?
We implement transaction ID validation within GTM and the dataLayer, storing the recorded transaction ID in a temporary browser session variable or using custom JavaScript triggers. If a customer refreshes their "Thank You" order confirmation page or revisits the confirmation link later, GTM blocks the secondary purchase event.
Will Google Tag Manager slow down our website?
No. GTM scripts load asynchronously by default, meaning they execute in parallel without blocking the rendering of your primary HTML, CSS, or images. Furthermore, managing your marketing pixels through a single, audited GTM container prevents code bloat and redundant third-party libraries.
Can you build custom automated reports for our team in Looker Studio?
Yes. As part of our setup, we build customized, interactive Looker Studio dashboards tailored to your business model. You will be able to filter performance by campaign, device, geography, and date range without logging into the complex GA4 interface.
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