Unify Commerce and Customer Data with Salesforce Data Cloud
We help commerce businesses implement Salesforce Data Cloud for e-commerce, connecting customer, order, service, marketing, and behavioural data into unified customer profiles that power real-time segmentation, personalisation, and AI readiness.
The Challenge
Your Customer Data Exists Everywhere, and Nowhere Useful
Commerce businesses collect enormous amounts of customer data, but it lives in fragments. E-commerce platforms hold order and browsing data. Salesforce holds CRM and service data. Marketing platforms hold campaign engagement. Support tools hold customer issues. Without a unified customer view, businesses struggle to personalise experiences, segment customers accurately, automate journeys, or apply AI effectively.
Organisations use an average of 1,061 apps to run their business, but only 29% of those apps are integrated.
Order and Browsing Data
E-commerce platforms hold order history and browsing behaviour, isolated from every other customer touchpoint.
CRM and Service Records
Salesforce holds CRM and service data separately from commerce activity, so support context never reaches marketing or sales.
Campaign Engagement
Marketing platforms hold email and campaign engagement data that rarely makes it back into the customer record.
Customer Issues
Support tools hold customer issues in isolation, cut off from the purchase and marketing history that gives them context.
Our Solution
From Fragmented Commerce Data to Connected Customer Intelligence
We map data sources, define identity resolution rules, build unified customer profiles, and activate customer data across commerce, CRM, marketing, and service workflows. Data Cloud talks to other Salesforce clouds natively, so a unified profile is immediately visible everywhere it's needed.
Data Cloud Readiness Assessment
Audit current data sources, quality, systems, and business goals before any architecture decisions.
Data Architecture & Source Mapping
Design the data model, define source connectors, and map what data flows from each system into Data Cloud.
Identity Resolution Rules
Define matching and merging rules that determine how customer records across systems are resolved into one profile.
Data Ingestion & Mapping
Connect source systems, ingest data, and map fields into the unified data model, validating quality at each stage.
Unified Profile Build & Validation
Build unified customer profiles and validate profile completeness, accuracy, and identity resolution results.
Segmentation Setup
Build the initial audience segments against agreed commerce use cases - retention, churn, VIP, repeat purchase.
Activation & Integration
Connect unified profiles and segments to Marketing Cloud journeys, Service Cloud agents, Commerce Cloud, and Agentforce.
Measurement & Optimisation
Track agreed KPIs - profile completeness, segment performance, personalisation lift, retention rate - and optimise continuously.
Salesforce Data Cloud Setup Services
Six Salesforce Data Cloud Implementation Services for Commerce Businesses
Commerce Use Cases
Where Unified Customer Data Creates Measurable Commerce Value
Data Sources We Connect
Every Customer Data Source Unified Into One Profile
Salesforce Commerce Cloud
Shopify / Shopify Plus
Adobe Commerce
BigCommerce
WooCommerce
Sales Cloud
Service Cloud
Marketing Cloud
Experience Cloud
ERP systems
OMS platforms
Loyalty platforms
POS systems
Subscription platforms
Marketing automation
Web analytics
Support systems
Data warehouses (Snowflake, Databricks, BigQuery - via zero-copy)
Third-party data sources
Why Innovadel
Commerce-First Data Cloud Consulting, Not Abstract Data Architecture
Commerce-First Data Thinking
We implement Data Cloud around ecommerce goals - repeat purchase, retention, personalisation, and AI readiness - not generic data consolidation projects.
Cross-Platform Integration Experience
We connect Data Cloud to Shopify, Adobe Commerce, Salesforce Commerce Cloud, OMS, ERP, loyalty, and marketing platforms - not just the Salesforce ecosystem.
Identity Resolution Expertise
The hardest part of any CDP project. We design identity rules that actually work across real-world messy data, not just clean demo environments.
Activation-Oriented Delivery
We don't stop at unified profiles. Every implementation is scoped through to activation, connecting intelligence to the workflows and channels that create commercial outcomes.
Agentforce & AI Readiness
Data Cloud is the required foundation for Agentforce AI agents. We build implementations that are ready for AI, not ones that need rearchitecting later.
Measurable Outcomes
Every engagement runs against pre-agreed KPIs - profile completeness, segment performance, personalisation lift, and repeat purchase rate - not implementation milestones.
Engagement Models
Choose How You Want to Start With Salesforce Data Cloud
Data Cloud Readiness Assessment
A structured review of your data sources, quality, systems, and activation goals, defining what a Data Cloud implementation should deliver before any commitment to build.
Data Mapping Workshop
A focused working session mapping your disconnected customer data sources and defining the identity resolution and profile architecture needed for unification.
Data Cloud Implementation
End-to-end Salesforce Data Cloud implementation services, from source mapping and identity resolution through unified profiles, segmentation, and activation workflows.
AI Readiness Engagement
A focused engagement preparing your Data Cloud implementation for Agentforce AI agents, personalisation at scale, and AI-driven journey orchestration.
FAQs
Common questions
What is the difference between Salesforce Data Cloud and Data 360?
They are the same product. Salesforce rebranded Data Cloud to Data 360 at Dreamforce in October 2025 to reflect its position as the data foundation for the Agentforce 360 platform. The underlying product, licensing, integrations, and data model are unchanged. Agentforce and Data 360 combined ARR reached $3.4 billion, up over 200% year-over-year, as of Q1 FY27.
How does Salesforce Data Cloud help ecommerce businesses?
Data Cloud unifies fragmented ecommerce data - order history from Shopify, CRM records from Salesforce, campaign engagement from Marketing Cloud, and service history from Service Cloud - into one real-time customer profile. This unified profile powers personalisation, segmentation, AI orchestration, and every Agentforce agent that interacts with your customers.
Does Salesforce Data Cloud replace a data warehouse?
No. Data Cloud is a CDP designed for real-time customer profile unification and activation, not analytical batch processing. In 2026, Data Cloud's zero-copy architecture lets it query external data warehouses like Snowflake, Databricks, or BigQuery in place, without physically moving data. The two platforms complement each other rather than compete.
What is zero-copy architecture in Salesforce Data Cloud?
Zero-copy architecture allows Data Cloud to query data stored in external systems - Snowflake, AWS, Azure, Databricks, BigQuery - without physically copying it into Salesforce. In Q1 FY27, 35 trillion records were processed via zero-copy, up 277% year-over-year. This cuts storage costs, eliminates sync lag, and removes a major barrier to adoption for enterprise commerce teams.
How long does Salesforce Data Cloud implementation take?
A focused implementation for a single use case typically takes 8-12 weeks. A broader implementation covering multiple data sources, identity resolution, segmentation, and multi-cloud activation runs 12-20 weeks. Budget roughly 40% of the project for the data engineering side and 60% for stakeholder alignment, identity rules, and activation contracts.
Which commerce platforms does Salesforce Data Cloud integrate with?
Salesforce Data Cloud integrates natively with Salesforce Commerce Cloud, and via connectors and APIs with Shopify, Shopify Plus, Adobe Commerce, BigCommerce, WooCommerce, and custom ecommerce platforms, plus ERP, OMS, loyalty, analytics, and marketing platforms.
Is Salesforce Data Cloud the same as a CDP?
Yes. Salesforce Data Cloud (Data 360) is a customer data platform that ingests customer data from multiple sources, resolves identities, creates unified profiles, enables real-time segmentation, and activates data across downstream systems. Unlike a CRM or a data warehouse, a CDP is built to serve real-time customer-facing decisions.
Ready to Make Commerce Data Work for You in Real Time?
Talk to Innovadel about a Salesforce Data Cloud implementation that turns fragmented commerce data into real-time personalisation and AI-powered decisioning.