Analytics & Intelligence
We build analytics infrastructure that gives enterprise teams a single source of truth for every business decision. From advanced GA4 configurations with custom event tracking to real-time Looker Studio dashboards and BigQuery data warehouses, our implementations capture the data that matters and present it in formats your team will actually use. Every analytics engagement includes proper attribution modeling, cross-platform data unification, and executive reporting frameworks.
Advanced GA4 Setup & Custom Event Architecture
Custom Looker Studio Dashboards & Reports
Server-Side Tagging & Consent-Compliant Tracking
Multi-Touch Attribution Modeling
BigQuery Data Warehouse & SQL Analytics
Cross-Platform Data Unification
Real-Time KPI Dashboards for Executive Teams
Conversion Funnel Analysis & Optimization
Tech Stack
Common Questions
What does an advanced GA4 implementation include?
Our advanced GA4 setups go far beyond the default installation. We design a custom event taxonomy aligned with your business objectives, implement enhanced e-commerce tracking, configure custom dimensions and metrics, set up server-side tagging for data accuracy, build audience segments for remarketing, and create conversion funnels that map to your actual customer journey. We also implement data streams to BigQuery for advanced SQL analysis beyond what the GA4 interface supports.
How do you build dashboards that teams actually use?
Most dashboards fail because they show data without context. We start by interviewing stakeholders to understand the decisions they make weekly and what data would improve those decisions. Then we build role-specific Looker Studio dashboards: executive summaries with trend analysis and KPI scorecards, marketing dashboards with channel performance and attribution, and operational dashboards with real-time metrics. Every visualization answers a specific business question.
Can you unify data from multiple platforms into a single view?
Yes, data unification is a core capability. We use Segment as a customer data platform to collect events from your website, mobile app, CRM, and backend systems into a single data stream. This feeds into BigQuery where we use dbt to model unified customer profiles, marketing attribution, and business metrics. The result is a single source of truth that eliminates data silos and conflicting reports across teams.
How do you handle attribution modeling for enterprise businesses?
We implement multi-touch attribution models that go beyond last-click. Using GA4 data-driven attribution, BigQuery path analysis, and custom modeling, we map the full customer journey across paid, organic, email, and direct channels. For B2B companies with long sales cycles, we integrate CRM data to attribute revenue to marketing touchpoints that occurred weeks or months before the closed deal. This enables accurate ROI calculation by channel and campaign.
What is server-side tagging and why should we implement it?
Server-side tagging routes analytics data through your own server before sending it to platforms like GA4, Meta, and Google Ads. This dramatically improves data accuracy by bypassing ad blockers and browser restrictions that currently prevent 15-30% of client-side events from being captured. It also gives you full control over what data is shared with third parties, ensuring compliance with GDPR and privacy regulations. We deploy server-side containers on Google Cloud or AWS with minimal latency impact.
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