[Adobe Analytics Setup]

Enterprise power for those who need industrial-level data

We plan and implement complete setups of Adobe Analytics and Adobe Experience Platform Tags to build enterprise-grade tracking infrastructures for complex, multi-brand, and multi-market organizations. We work on corporate, large-scale e-commerce, banks, retail, and B2B with intricate sales cycles — with architectures built on eVar, prop, processing rule, and full integration with the Adobe Experience Cloud. One goal only: to transform Adobe Analytics from a complex technical implementation into a measurable, governed intelligence system capable of supporting high-impact business decisions.

Main Objectives

01
ARCHITECTURE AND SOLUTION DESIGN OBJECTIVES
- Design a complete Solution Design Reference (SDR) with eVar, prop, success event, and mapped business questions
- Build structured data layers compliant with XDM (Experience Data Model) for Adobe Experience Platform integration
- Define processing rules and VISTA rules for server-side data enrichment without modifying the site code
- Ensure scalability of the setup to support new brands, markets, and lines of business without structural rework
02
TRACKING IMPLEMENTATION OBJECTIVES
- Implement AppMeasurement with full configuration on pageview, link tracking, and custom business events
- Configure Adobe Experience Platform Tags (formerly Adobe Launch) with firing rules, data elements, and dedicated extensions
- Manage eVar persistence, allocation logic, and expiration to correctly attribute conversions and revenue
- Implement complete e-commerce tracking with product string, checkout funnel, and dedicated revenue attribution
03
WORKSPACE OBJECTIVES AND ADVANCED ANALYSIS
- Build Workspace project for business unit with dedicated freeform table, fallout, flow, and cohort analysis
- Configure reusable segments for audience, user behavior, and strategic conversion paths
- Define custom calculated metrics for business KPIs not available out-of-the-box
- Build executive dashboard with clear visualizations and drill-down for non-technical business owners
04
EXPERIENCE CLOUD INTEGRATION OBJECTIVES
- Integrate Adobe Analytics with Adobe Target for analytics-driven segment-based personalization
- Connect Adobe Audience Manager or Adobe Real-Time CDP for audience sharing and multi-channel activation
- Integrate Adobe Campaign for email, push, SMS orchestration based on analytics behavior
- Synchronize Customer Journey Analytics for unified online and offline cross-channel analysis
05
Data Governance and Quality Objectives
- Implement governance of the data layer with naming conventions, business owner, and structured documentation
- Build structured QA processes on new implementations with validation in dev, stage, and production
- Monitor data quality with automatic alerts on traffic anomalies, missing events, and drops on critical KPIs
- Manage data retention, privacy compliance, and Right to Be Forgotten according to company policy and regulations
06
ENABLEMENT AND TRAINING OBJECTIVES
- Train internal teams on Workspace, Report Builder, and advanced features of Adobe Analytics
- Build updated SDR documentation, accessible and maintained as the company’s single source of truth
- Define intake processes for new tracking requests with priority, validation, and implementation roadmap
- Support internal analytics community with office hours, knowledge sharing, and shared best practices

How do we work?
19ADV’s operational framework
in Performance Marketing

Briefing and definition of requirements

We analyze the business model, target audience, and reference markets — B2C, B2B, and D2C — and define concrete objectives and measurable KPIs: listens, visits, leads, awareness, and cost per acquisition.

Free diagnostic audit

If you are already investing in Spotify Ads, we analyze your account to identify issues and opportunities in campaign structure, segmentation, audiences, and audio and video creatives.

Strategy definition

We build the campaign strategy starting from the objectives not from the available formats and we define the targeting budget, mix of formats and integration with the other active channels

Production and setup

Gestiamo o coordiniamo la produzione degli asset creativi script audio voiceover e video e configuriamo le campagne su Spotify Ad Studio con tracciamento preciso degli obiettivi

Ottimizzazione continua

We monitor performance and constantly optimize exposure frequency, targeting and creativity. No campaign is left running unsupervised.

Reporting and analysis

Periodic reports with the metrics that really matter: real coverage, ad completion frequency, traffic generated and cost per result, no vanity metrics, just useful data

Adobe Analytics Setup Campaign

Methodological approach

Solution Design Reference (SDR) as a central deliverable with business questions, eVar, prop, event mapped
Iterative implementation via Adobe Experience Platform Tags with QA in dev, stage, and structured production
Data layer governance shared between marketing, IT, development, and analytics teams with approval processes
Documentation maintained as a living document with versioning, ownership, and change management processes

Adobe Analytics services available

Complete Adobe Analytics setup with SDR, AppMeasurement, Experience Platform Tags, and processing rule
Migration from other analytics platforms to Adobe with metric mapping, historical reconstruction, and validation
Integration of Adobe Experience Cloud with Target, Audience Manager, Campaign, and Customer Journey Analytics
Training internal teams, setup governance, and continuous support with dedicated SLAs for enterprise environments

Integrated technology stack

Adobe Analytics, Adobe Experience Platform Tags (formerly Launch), AppMeasurement, and Adobe Customer Journey Analytics
Adobe Target, Adobe Audience Manager, Adobe Real-Time CDP, and Adobe Campaign for cross-channel activation
Integration with enterprise CRM (Salesforce, Microsoft Dynamics, SAP) and enterprise-level marketing automation
Corporate data warehouse, BigQuery, and Snowflake for export, custom models, and advanced cross-source analysis

Frequently Asked Questions about Adobe Analytics

Depends on the scale, complexity, and analytics maturity of the organization. GA4 is the standard choice for most companies, with affordable costs and native integration into the Google stack. Adobe Analytics is the choice for enterprise organizations with needs for flexibility, governance, and complex integration: large retail, banks, telcos, multinationals. The difference lies in the cost, setup complexity, and actual return on investment — for medium-sized organizations, GA4 is almost always the most reasonable choice.

For a complete enterprise implementation — SDR, development, Experience Cloud integration, team training — the typical timeframe is 3-6 months, involving multiple teams (marketing, IT, development, legal, analytics). It is a structured project, not a technical setup. Simpler implementations (single brand, site without complex e-commerce) require 6-10 weeks. The timelines mainly depend on the internal maturity of the data layer and development processes.

La SDR è il documento che definisce ogni eVar, prop, success event di Adobe Analytics collegandolo a una business question e a un business owner. È il single source of truth dell’implementazione: senza SDR aggiornata l’implementazione diventa ingestibile in pochi mesi. Lavoriamo sulla SDR come deliverable centrale e la manteniamo come living document con versionamento, ownership e processi di change management strutturati.

Yes, but the role is evolving. Adobe is pushing towards Customer Journey Analytics (CJA) as the natural evolution of Adobe Analytics for online and offline cross-channel analysis. For new enterprise implementations, it often makes sense to evaluate a hybrid AA + CJA architecture, with Adobe Experience Platform as the shared data foundation. For existing implementations, Adobe Analytics remains supported and functional, with a gradual migration to CJA that can be planned in the medium term.

Con structured intake, prioritization, and approval processes. Every new tracking request goes through a formalized process: business request → SDR validation → data layer development → Experience Platform Tags implementation → QA in stage → production deployment → documentation. Without this flow, even the best setup degenerates into chaos in 12-18 months. Governance is the difference between an enterprise investment that produces value and one that becomes technical debt.

Tecnicamente sì, strategicamente è un’operazione delicata. Lo storico di Adobe Analytics resta accessibile in lettura per il periodo di licenza pagato; il nuovo storico parte da zero su GA4. Le metriche non sono direttamente comparabili — modelli di attribuzione, definizioni di sessione, gestione conversioni sono diversi. Il passaggio va pianificato con periodo di doppia implementazione (3-6 mesi) per validare discrepanze, mappare KPI e formare i team sulle nuove logiche di analisi.

[Adobe Analytics Setup]

Enterprise power for those who need industrial-level data

ARCHITECTURE AND SOLUTION DESIGN OBJECTIVES

TRACKING IMPLEMENTATION OBJECTIVES

WORKSPACE OBJECTIVES AND ADVANCED ANALYSIS

EXPERIENCE CLOUD INTEGRATION OBJECTIVES

Data Governance and Quality Objectives

ENABLEMENT AND TRAINING OBJECTIVES

Adobe Analytics Setup Campaign

Methodological approach

Adobe Analytics services available

Integrated technology stack

Frequently Asked Questions about Adobe Analytics

Adobe Analytics or Google Analytics 4 — which one to choose?

How long does it take to implement Adobe Analytics in an enterprise organization?

What is the Solution Design Reference and why is it central?

Is Adobe Analytics still relevant with the evolution of Adobe Experience Platform and CJA?

How is governance managed in an Adobe Analytics enterprise setup?

Can I switch from Adobe Analytics to GA4 without losing data?