Server-Side Tagging (GCP / AWS)
We migrate and optimize your tag infrastructure to server-side, improving accuracy, reducing load impact.
We architect and deploy server-side tagging infrastructure on GCP and AWS, moving measurement logic off the browser to reduce page load impact, bypass ad-blockers, and extend data lifespan under ITP and privacy restrictions. Our implementations are consent-aware, scalable, and secure, with custom routing, enrichment pipelines, and monitoring that ensure accurate marketing attribution without sacrificing site performance. You gain stable, long-term measurement and full control over data flows to third-party platforms.
Executive Overview
Server‑Side Tagging is a foundational service designed for enterprise organizations that rely on accurate, scalable, and privacy‑compliant data infrastructure. The modern analytics landscape is fragmented across front‑end, backend, server‑side, mobile apps, marketing platforms, cloud warehouses, and BI tooling. Without a unified measurement architecture, teams struggle with inconsistent KPIs, duplicated events, unreliable attribution, and an inability to make confident product or marketing decisions.
Why This Service Matters
Large‑scale enterprise environments generate millions of behavioral, transactional, and system events every day. When this data is not standardized, validated, and architected correctly, it results in operational inefficiency, broken reporting, and poor decision‑making at the leadership level. A robust measurement framework ensures:
- Predictable data pipelines that scale with traffic and functionality.
- Clean, structured event models aligned with business objectives.
- Faster onboarding for analysts, engineers, and marketing teams.
- Lower long‑term maintenance cost through clear ownership and documentation.
What You Get
- A complete technical blueprint for implementation.
- Unified tracking plan with event definitions, parameters, and governance rules.
- System‑to‑system integration mapping (web, mobile, backend, server‑side).
- Documentation tailored for engineering, analytics, and product stakeholders.
- Technical QA workflows covering data integrity and validation.
- Privacy‑compliant measurement guidelines (GDPR/CCPA).
Business Impact
After implementation, organizations typically see reduced analytics errors, improved reporting clarity, faster experimentation cycles, and stronger alignment between growth, BI, and product strategy. Consistent measurement enables leadership to trust KPIs and allocate budget with confidence.
FAQ: Server-Side Tagging
faqs:
- question: “Why move to server-side?” answer: “Higher data reliability (fewer ad-block/ITP losses), better performance and more control over data processing.”
- question: “Which clouds do you support?” answer: “GCP and AWS, with autoscaling and secure configuration aligned to your policies.”
- question: “Will page speed improve?” answer: “Typically yes — less client-side JS and fewer third-party calls in the browser.”
- question: “How do you monitor the server?” answer: “We set up logging, alerts and health checks for tag servers.”
Pozostałe Usługi
Event Taxonomy & Tracking Architecture
We design clean, scalable event taxonomies for web, mobile, and backend systems- aligned across marketing, product, sales, and BI.
Zobacz więcejFull Tracking Implementation (Web, Mobile, Server-Side)
We implement end-to-end tracking using GA4, Adobe, Firebase, Segment and server-side GTM.
Zobacz więcejCDP Architecture & Implementation (Segment, Tealium, mParticle)
We architect and deploy complete CDP setups: Sources, Protocols, Personas, governance and activation.
Zobacz więcejData Quality, Monitoring & Automated QA
We build automated data validation, schema enforcement, and monitoring pipelines that continuously detect and prevent data issues.
Zobacz więcejWarehouse Modeling & ELT Pipelines (BigQuery, Snowflake, dbt)
We design and implement production-grade warehouse models using dbt- including staging, core, and marts layers.
Zobacz więcejEnd-to-End Analytics Ecosystem Architecture
We architect the entire analytics stack: tracking → CDP → pipelines → warehouse → dashboards.
Zobacz więcejConsent & Privacy-Compliant Measurement (OneTrust, Cookiebot)
We implement consent-aware analytics architectures that guarantee compliance (GDPR/CCPA).
Zobacz więcejConversion Funnel Analytics & Optimization
We deliver full-funnel visibility across acquisition, onboarding, activation, and churn.
Zobacz więcejMarketing Attribution & Performance Measurement
We build reliable attribution frameworks and marketing dashboards that connect spend, campaigns and audience behavior.
Zobacz więcejProduct Analytics (Web & Mobile)
We design and implement event schemas, product KPIs, feature tracking, and behavioral analytics.
Zobacz więcejGA4 & Adobe Analytics Engineering
We architect enterprise-grade GA4/Adobe implementations, fix legacy setups, and deliver accurate measurement.
Zobacz więcejSalesforce & CRM Analytics Integration
We connect marketing and product events with CRM and Salesforce data to enable accurate, end-to-end reporting.
Zobacz więcejDashboarding & BI Delivery (Looker, Power BI, Tableau)
We create fast, intuitive dashboards built on governed metrics layers.
Zobacz więcejData Vault Modeling & Enterprise Integration
We design Data Vault–aligned warehouse structures for enterprise environments.
Zobacz więcejIdentity Resolution & Unified Customer Profiles
We unify cross-device and cross-channel customer data into persistent identities.
Zobacz więcejCost Optimization for Data & Warehouse Infrastructure
We optimize query structures, pipelines, storage and compute, ensuring your analytics architecture performs reliably.
Zobacz więcejKPI Frameworks for Marketing, Product, Sales & BI
We establish clear, consistent KPI definitions across teams, replacing conflicting numbers.
Zobacz więcejAnalytics Engineering Advisory & Architecture Review
We review your entire analytics stack, pinpoint technical risks, and deliver a clear, actionable roadmap.
Zobacz więcejOngoing Data Engineering & Analytics Support
We offer continuous support for tracking, CDP, pipelines, dbt models, and dashboards.
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