Enterprise Analytics Consulting
Adobe Analytics Implementation and Optimisation
We deliver end-to-end Adobe Analytics programmes - from solution design and data layer architecture through Adobe Launch configuration, Customer Journey Analytics migration, and Adobe Experience Platform integration. Our certified consultants help enterprise organisations build measurement infrastructure that drives confident, data-informed decisions at scale.
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The Challenge
Fragmented data and ungoverned implementations are costing enterprises millions in misallocated spend
Most enterprise analytics environments accumulate years of ad hoc tracking additions, inconsistent variable usage, and undocumented data layers that prevent reliable analysis. Business teams lose trust in reporting, analysts spend the majority of their time reconciling data rather than generating insights, and marketing investment decisions are made on incomplete attribution models. Without a structured implementation and governance programme, the value of Adobe Analytics licences remains largely unrealised.
Why QuickHire
Why Enterprises Choose QuickHire
Adobe Certified Expertise
Every consultant holds Adobe Certified Expert credentials across Analytics, Launch, and Customer Journey Analytics. Certification is maintained annually and paired with active delivery experience on enterprise programmes.
Solution Design First
We begin every engagement with a rigorous Solution Design Reference workshop that aligns measurement requirements to business KPIs before a single tag is deployed. This prevents the rework that plagues implementations started without documented specifications.
Full Adobe Stack Integration
Our consultants operate across the entire Adobe Experience Cloud - connecting Analytics to AEP, Real-Time CDP, Journey Optimizer, and Target. Integrated programmes deliver cross-channel insights that siloed implementations cannot achieve.
Governance and Compliance by Design
Privacy regulation compliance, role-based access control, and change management workflows are built into the implementation architecture from the outset. We do not treat governance as an afterthought or a separate engagement.
Activation-Ready Analytics
We design reporting suites and data architectures with downstream activation in mind - ensuring that Analytics segments can be pushed to Real-Time CDP, advertising platforms, and personalisation engines without additional transformation work.
Sustained Optimisation Support
Post-launch retainer programmes include quarterly data quality audits, SDR maintenance, new feature enablement, and analytics training for incoming team members. We ensure the implementation remains aligned with evolving business requirements.
Challenges
Common Enterprise Pain Points
Unstructured Data Layer Debt
Legacy implementations often push variables directly from marketing teams without engineering oversight, resulting in inconsistent naming, missing context objects, and breakage on SPA route changes. Resolving this requires coordinated data layer redesign, regression testing across all page templates, and phased Adobe Launch property migration - work that cannot be deferred without compounding measurement errors.
Cross-Device Identity Resolution
Enterprise organisations with authenticated and unauthenticated user states struggle to stitch customer journeys across devices, browsers, and sessions. Adobe Analytics traditional visitor identification relies on cookies that are increasingly blocked, making Customer Journey Analytics and AEP-based identity graphs essential for accurate person-level analysis.
Multi-Brand and Multi-Region Complexity
Global enterprises operating multiple brands or regional sites require a single-property governance model that accommodates local customisation without fragmenting the global data set. Designing report suite hierarchies, virtual report suites, and Launch property inheritance models that satisfy both central governance and local agility demands experienced architecture judgement.
Attribution Model Alignment
Default last-touch attribution in Adobe Analytics frequently misrepresents the contribution of upper-funnel channels, leading to under-investment in awareness and consideration activity. Migrating to algorithmic attribution or building custom attribution models requires clean channel tagging, consistent campaign parameter standards, and executive alignment on the commercial model used for budget decisions.
Stakeholder Adoption and Self-Service Maturity
Even well-implemented Adobe Analytics programmes fail to deliver value when business teams lack the skills to build their own Analysis Workspace reports, create segments, or interpret anomaly alerts. Sustained adoption requires structured training programmes, curated workspace templates, and a defined process for stakeholder analytics requests that encourages independence rather than dependence on a central analytics team.
Our Approach
A structured implementation methodology that delivers trusted data, governed infrastructure, and analytics capabilities that compound over time
Our Adobe Analytics engagements follow a five-phase delivery framework - Discovery, Design, Build, Validate, and Optimise - that transforms fragmented measurement environments into enterprise-grade analytics programmes. Each phase has defined deliverables, stakeholder checkpoints, and quality gates that prevent the common failure modes of rushed implementations. We bring technical depth, business consulting skills, and change management capability together in a single integrated team.
Solution Design and SDR Authoring
We facilitate cross-functional requirement workshops and produce a comprehensive Solution Design Reference that maps every measurement requirement to specific Adobe Analytics variables, ensuring implementation aligns with business intent before development begins.
Data Layer Architecture
We design and document a scalable, framework-agnostic data layer specification aligned to CEDDL standards, with full coverage of SPA routing events, authenticated user states, and product data structures required for e-commerce and content analytics.
Adobe Launch Configuration and Governance
We build structured Adobe Launch property architectures with environment separation, RBAC, approval workflows, and naming conventions that support long-term maintainability by internal teams after consultant handover.
Customer Journey Analytics and AEP Integration
We design and implement CJA connections, data views, and XDM schema mappings that enable cross-channel, cross-device analysis at the person level, with downstream activation pathways to Real-Time CDP and Adobe Journey Optimizer.
Delivery Models
How We Deliver
Single-property Adobe Analytics implementation including SDR, data layer design, Adobe Launch build, and reporting suite configuration for one primary web property.
Multi-brand or multi-region implementation with CJA migration, AEP integration, virtual report suite governance framework, and comprehensive stakeholder training programme.
Ongoing post-launch support including quarterly data quality audits, SDR maintenance, new feature enablement, Sensei AI configuration, and analyst coaching sessions.
Capabilities
Technical Capability Matrix
Engagement Models
How We Engage
Choose the model that fits your programme governance, budget cycle, and team structure.
Our Process
From Discovery to Delivery
Discovery and Stakeholder Alignment
Week 1We conduct structured interviews with business, marketing, and technology stakeholders to document current-state measurement gaps, priority KPIs, and technical constraints that will shape the solution design.
Solution Design and SDR Authoring
Weeks 2-3We produce the Solution Design Reference, data layer specification, and Adobe Launch property architecture plan, reviewed and signed off by all stakeholder groups before development begins.
Data Layer and Launch Build
Weeks 4-6Engineering teams implement the data layer specification while consultants build and configure the Adobe Launch property, rules, data elements, and reporting suite settings in parallel.
QA Validation and UAT
Weeks 7-8Multi-layer QA using Adobe Assurance, Experience Platform Debugger, and automated journey testing validates full variable population coverage before any production deployment.
Launch, Training, and Optimisation
Weeks 9-12Staged production rollout is followed by role-specific training workshops, workspace template creation, and a four-week hypercare period before transition to retainer or self-managed operation.
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Security & Compliance
Enterprise-Grade Security by Default
Governance
Programme Governance
SDR Version Control
The Solution Design Reference is maintained in a version-controlled repository alongside the Adobe Launch property, with all changes peer-reviewed and linked to business requirements or change tickets.
Change Management Workflow
All Adobe Launch property changes follow a defined approval workflow with development, staging, and production environment gates, requiring sign-off from at least two authorised reviewers before production deployment.
Data Quality Monitoring
Automated data quality dashboards in Analysis Workspace surface collection anomalies, missing variable values, and traffic threshold breaches within hours, with Intelligent Alerts routing notifications to responsible team members.
Privacy and Consent Compliance
Consent management integration, IP obfuscation configuration, data retention policies, and Adobe Privacy Service workflows are reviewed quarterly against current regulatory requirements and updated as legislation evolves.
Team Structure
Your Enterprise Team
Our Adobe Analytics delivery teams combine certified Analytics and Launch implementation specialists with AEP integration engineers, analytics strategy consultants, and change management professionals. Teams are sized to programme scope and supplemented with QA automation engineers for high-volume implementations requiring comprehensive journey coverage testing.
Project Lifecycle
From Kickoff to Production
Discovery
Current-state assessment, stakeholder interview summary, measurement requirements register, technical constraint inventory.
Solution Design
Solution Design Reference (SDR), data layer specification, Launch property architecture diagram, reporting suite configuration plan.
Build and Configure
Adobe Launch property with rules and data elements, reporting suite and virtual report suite setup, data layer implementation guidance for engineering teams.
QA and Validation
QA test results report, variable coverage matrix, defect resolution log, stakeholder UAT sign-off documentation.
Launch and Optimise
Production deployment record, training materials and recordings, Analysis Workspace templates, data quality dashboard, quarterly optimisation reports.
Case Studies
Enterprise Outcomes
A global fashion retailer had 43% data loss on SPA page transitions and could not accurately attribute revenue across channels.
We redesigned the data layer for their React storefront, rebuilt the Adobe Launch property with SPA-safe direct call rules, and implemented algorithmic attribution in Customer Journey Analytics.
A wealth management firm needed cross-device customer journey visibility to optimise their seven-step online onboarding funnel.
We implemented CJA with AEP identity stitching, connecting authenticated app sessions to web behaviour and call centre interactions to identify the two funnel steps causing 60% of drop-off.
A digital media group operating 12 brands needed consolidated cross-brand audience reporting without sharing granular brand data between internal teams.
We implemented a global report suite with 12 brand-specific virtual report suites, curated component sets per brand, and a CJA cross-brand workspace for the central strategy team only.
FAQ
Frequently Asked Questions
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