Turn Real-Time Telemetry Into High-Fidelity Customer Intelligence
Elevate cross-channel orchestration. SourceMash delivers world-class Adobe Analytics architecture, data layer engineering, and seamless integration with the Adobe Experience Cloud transforming fragmented data streams into complete operational insights.
Our Advisory Specializations
Three Capabilities. One Omnichannel Insight Hub.
Fragmented user tracking pathways cause poor spending transparency and low tool utilization. SourceMash unifies secure pipeline tags, customized calculated metrics, and real-time behavioral streams into modern executive views.
Practice 01
Enterprise Architecture & Data Tag Governance
Legacy tag deployments relying on bulky, scattered scripts introduce severe application loading lag and cause missing transaction attribution anomalies. SourceMash unifies and deploys streamlined cloud analytics tags using Adobe Experience Platform Data Collection (Adobe Launch) and the modern Adobe Experience Platform Web SDK (alloy.js). We build structured Solution Design References (SDRs) to map dimensions natively across applications.
Adobe Launch Tag Engineering
Structuring reliable web property asset deployments. We write asynchronous rules and custom extension configurations inside Adobe Launch to distribute tracking across complex single-page architectures cleanly.
eVars, props & Context Variable Audits
Optimizing your operational reporting fields. We rebuild unstructured metric schemas, implementing strict contextual rules on edge data variables to align tracking records into coherent insight buckets without data bloat.
Web SDK & Edge Network Migration
Consolidating legacy appMeasurement tracking scripts. We guide complete transitions to unified Adobe Edge Networks, converting multi-vendor server calls into single, privacy-safe payloads to maximize page execution speeds.
Architecture & Tags Core Capabilities
Single Page Application Tracking
Our framework designs utilize custom event hooks to trace route changes inside React, Angular, and Vue setups with total session accuracy.
Dynamic Data Layer Mapping
We link modern object structures programmatically to global standards, ensuring metrics pass accurately across system modifications.
Privacy Consent Controls
We configure tag execution templates to respect Consent management flags, ensuring data handling satisfies rigid global frameworks like GDPR.
Data Insertion API Tunnels
Building secure server-to-server data structures that automatically stream call center completions or brick-and-mortar points sales into indicators.
Practice 02
Analysis Workspace Optimization & Deep Triage
Static dashboard templates hide underlying conversion friction and lower administrative insights visibility. SourceMash crafts high-performance analysis environments inside Adobe Analysis Workspace, building calculated metric fields, attribution panels, and step-through cohort flows to map user trajectories visually.
Calculated Metrics & Segmentation
Engineering complex analytical formulas. We build tailored metric conditions using segment exclusion criteria and sequential timeline parameters to expose high-value buyer personas accurately.
Attortion & Conversional Funnels
Isolating system conversion leaks. We configure multi-touch attribution models (Algorithmic, Participation, Time Decay) inside analytical views, building fallout pathways to track operational dropdown metrics cleanly.
Anomaly Detection & Intelligent Alerts
Automating data forensic warnings. We implement machine-learning based baseline filters that parse trends continuously, triggering instant communication notifications upon structural traffic shifts or drop-off shocks.
Analysis Workspace Core Capabilities
Cohort Engagement Reports
Our workspace maps use custom duration blocks to track active return frequencies across specific sign-up waves systematically.
Real-Time Data Streams
Live performance dashboards update indicators dynamically, keeping engineering groups focused on active behavioral parameters.
Data Warehouse Feeds
We configure high-volume automated raw data streams that export complete variable listings hourly to external warehouse storage arrays.
Virtual Report Suites
Structuring isolated reporting layers across separate regional subsidiaries, enforcing multi-tenant administrative visibility rules safely.
Practice 03
Adobe Experience Platform (AEP) & Customer Journey Analytics
Data stored across isolated cloud systems introduces severe attribution gaps and limits profile depth. SourceMash unifies web telemetry, transactional files, and offline log frameworks natively within the Adobe Experience Platform (AEP). By constructing standard Experience Data Model (XDM) schemas and deploying Customer Journey Analytics (CJA), we handle cross-channel user stitching at scale.
XDM Schema & Data Ingestion Architecture
Configuring standard enterprise data data models. We map incoming application fields into target XDM profile and experience event schemas, establishing reliable ingestion channels via cloud streaming APIs.
Customer Journey Analytics (CJA) Setup
Bypassing legacy data suite limitations completely. We implement CJA workspaces that run direct SQL-like queries over un-sampled multi-channel storage layers, allowing cross-system analysis across offline and digital paths natively.
Real-Time CDP Segmentation
Activating customer profile pools dynamically. We configure responsive audience criteria that monitor behavior streams, pushing segments out to marketing engines like Adobe Target inside short-lived execution windows.
The Architecture Leap: Transitioning to Web SDK and CJA.
Traditional analytics frameworks execute several multi-vendor scripts inside browsers, expanding application resource bloat and fragmenting data records into independent, disconnected suites. The modern Adobe Web SDK (alloy.js) replaces this model completely bundling cross-component requests into single, streamlined tracking frames passed directly to centralized Edge Networks. SourceMash engineers this migration blueprint, routing metrics cleanly onto the Adobe Experience Platform to fuel Customer Journey Analytics. This strategy bypasses legacy reporting restrictions, eliminates processing rules clutter, and unifies cross-channel analysis within an audit-ready single source of truth.
Request a Migration Feasibility Review iconAEP & Journey Analytics Core Capabilities
Graph Stitching Engines
AEP identity layers dynamically link temporary web cookies with authenticated user account tokens to resolve identities across systems.
Un-sampled SQL Queries
CJA components process queries directly across full historical event sets, avoiding data compression issues completely.
Retroactive Variable Edits
Data Views allow managers to adapt variable configurations or modify attribution rules retroactively without re-ingesting datasets.
Customer AI Attribution
Built-in machine learning models calculate conversion probability scores, identifying churn risk patterns automatically.
Our Adobe Analytics & Implementation Methodology
A low-risk, blueprint-driven engineering lifecycle focused on defining business variables, deployment tracking, and optimizing reports safely.
Business Discovery & SDR Blueprinting
We map your enterprise goals, operational reporting requirements, and tracking metrics, building a unified Solution Design Reference (SDR) sheet that details eVars, props, and success events explicitly.
Data Layer Alignment & Launch Configuration
We implement clean data layer object formats natively inside your application setups, building robust event rules inside Adobe Launch to capture visitor parameters accurately on every user interaction.
Web SDK Transformation & Edge Datastreaming
We migrate legacy AppMeasurement scripts onto the lightweight AEP Web SDK framework, setting up edge datastream configurations to route session actions to Adobe repositories smoothly.
Analysis Workspace Panel & Filter Engineering
We build highly tailored workspaces inside the analytics center, organizing calculated metrics, setting up advanced attribution matrices, and engineering scannable fallout reports for business teams.
XDM Schema Architecture & CJA Connection
We build scalable Experience Data Model (XDM) schemas inside the Adobe Experience Platform, establishing multi-source data storage connection pools to track cross-channel behaviors seamlessly via CJA.
Validation Audits & User Adoption Retainers
Production release. We execute comprehensive data comparison checks against back-end transactional logs, deliver user onboarding labs, and track reporting metrics continuously under support retainers.
Adobe Experience Cloud Integration Matrix
We integrate and tune the complete Adobe enterprise data catalog alongside your current corporate data layers and execution systems.
Certified Adobe Experience Cloud Consultants
Our analytical engineering consultants maintain top platform credentials directly from Adobe, ensuring elite configuration quality.
Latest from SourceMash
Perspectives, research, and practical guidance from our enterprise technology experts.
Endorsed by Analytics Leaders
Trusted by chief data officers and enterprise digital executives discover how SourceMash accelerates platform performance and secures tracking guardrails.
SourceMash over-hauled our analytics tracking architecture completely. They migrated our unorganized legacy variables into a clean AEP Web SDK framework, recovering cross-channel attribution parameters while boosting page execution benchmarks significantly.
The custom calculated metrics and attribution models that SourceMash configured inside our Analysis Workspace panels have completely transformed our tracking visibility. We now analyze campaign performance maps in seconds, with server-side processing handling indicators cleanly.
SourceMash's technical knowledge of XDM schemas and Customer Journey Analytics is exceptional. They connected our offline retail points-of-sale data streams with live web actions smoothly, delivering an accurate single source of truth across customer milestones.