List of Salesforce Data Cloud Customers
San Francisco, 94105, CA,
United States
Since 2010, our global team of researchers has been studying Salesforce Data Cloud customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Salesforce Data Cloud for Customer Data Platform from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Salesforce Data Cloud for Customer Data Platform include: American International Group (AIG), a United States based Insurance organisation with 25000 employees and revenues of $47.25 billion, Takeda, a Japan based Life Sciences organisation with 47455 employees and revenues of $30.24 billion, Guidewell, a United States based Insurance organisation with 18000 employees and revenues of $30.00 billion, Highmark Blue Shield, a United States based Insurance organisation with 44000 employees and revenues of $29.40 billion, Adecco Group, a Switzerland based Professional Services organisation with 39000 employees and revenues of $24.00 billion and many others.
Contact us if you need a completed and verified list of companies using Salesforce Data Cloud, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Salesforce Data Cloud customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AAA Washington | Transportation | 536 | $120M | United States | Salesforce | Salesforce Data Cloud | Customer Data Platform | 2024 | n/a |
In 2024 AAA Washington implemented Salesforce Data Cloud as its Customer Data Platform to unify member profiles across roadside assistance, insurance, travel, and membership services. The deployment is centered on using Salesforce Data Cloud together with Agentforce, Salesforce Field Service, and MuleSoft to turn fragmented member records into a single 360 degree profile that supports automated dispatching, member communications, and personalized offers.
The implementation configures Salesforce Data Cloud to ingest structured roadside assistance records and unstructured membership artifacts, with deduplication and identity resolution to create unified member profiles. Agentforce is configured as a digital labor layer that queries Salesforce Data Cloud in real time to interpret natural language member requests, schedule and autonomously dispatch Field Service resources, and trigger SMS updates and Field Service Appointment Assistant tracking for members. Functional capabilities implemented include automated tow dispatch, real time technician work context delivery, member status and remaining benefits display, and contextual cross sell and upsell recommendations surfaced during interactions.
MuleSoft is used to integrate internal applications and feed both structured and unstructured data into Salesforce Data Cloud, preserving source fidelity while removing duplicate customer records. Operational coverage explicitly spans contact center workflows, roadside technician field operations, insurance inquiry handling, travel recommendation workflows, and membership retention functions across AAA Washingtons Pacific Northwest footprint that serves 1.2 million members in Washington and Idaho and handles nearly 1.5 million roadside assistance requests annually. Agentforce and Field Service exchange location, availability, skills, and appointment data to optimize nearest resource selection and technician readiness.
Governance and workflow changes emphasize human plus AI orchestration, with Agentforce taking primary responsibility for routine dispatch and updates while human representatives remain escalations for high priority or safety critical situations. The rollout focuses on using unified profiles to increase personalization and Keep Me Informed performance across member interactions, and it explicitly targets a 5% increase in retention through more timely engagement and relevant offers. Salesforce Data Cloud, Agentforce, Field Service, and MuleSoft together establish a consistent data and operational backbone that centralizes member context, automates routine roadside workflows, and reserves human capacity for complex cases.
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Adecco Group | Professional Services | 39000 | $24.0B | Switzerland | Salesforce | Salesforce Data Cloud | Customer Data Platform | 2024 | n/a |
In 2024 the Adecco Group deployed Salesforce Data Cloud as its Customer Data Platform to scale recruiting operations and candidate support globally. Salesforce Data Cloud is described as the hyperscale data engine built on the Salesforce Platform and was implemented to unify data and metadata from more than 40 disparate systems, enabling an integrated view of candidates and talent supply chain relationships.
The implementation focuses on data consolidation and AI orchestration, providing real time unified profiles, feed consolidation, and the metadata necessary for AI agents to act. Agentforce is paired with Salesforce Data Cloud to automate resume review, generate shortlists, and power 24/7 candidate engagement, augmenting recruiter workflows with automated candidate matching and action recommendations. The deployment emphasizes data accuracy and trusted outputs as the foundation for AI driven actions.
Integrations explicitly include Agentforce and exploration of Slack to embed AI agents in the flow of work, along with other Salesforce applications on the same platform. Operational coverage spans the Adecco Group global talent supply chain and recruiting teams, supporting recruiter and candidate interactions across regions and business functions tied to staffing and workforce delivery. The architecture centers on a centralized Customer Data Platform pattern, with a hyperscale data layer feeding AI orchestration and conversational agent interfaces.
Governance and process restructuring center on integrating data, AI, and cloud services across the company, creating shared building blocks for trusted automation and clearer recruiter workflows, and enabling humans and agents to collaborate on candidate experiences. Reported outcomes in the implementation narrative include scaling a recruitment workforce, filling open roles faster, providing superior experiences for job seekers, continuous 24/7 candidate engagement, and an explicit objective to reduce costs.
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ADP | Professional Services | 67000 | $21.8B | United States | Salesforce | Salesforce Data Cloud | Customer Data Platform | 2019 | n/a |
In 2019 ADP implemented Salesforce Data Cloud as its Customer Data Platform to centralize client data and enable service centric workflows. The deployment aligned Salesforce Data Cloud with Salesforce Customer 360 capabilities to create unified customer profiles and to surface actionable knowledge for ADP service teams.
The implementation emphasized modules common to Customer Data Platform projects, including real time data ingestion, identity resolution, profile unification, segmentation, and a searchable index of FAQ and knowledge article sources to support generative AI queries. Salesforce Data Cloud was configured to ingest ADP FAQ and knowledge article repositories so generative AI could query thousands of articles and produce instant answers to client questions.
Operational scope centered on ADP service teams supporting more than 1 million clients, uniting ADP data and decades of HCM expertise to provide contextual client views and faster response handling. Integrations focused on consolidating enterprise HCM data and customer touchpoint records into Salesforce Data Cloud and Customer 360 to enable cohesive case handling and knowledge retrieval across service workflows.
Governance work included establishing a common customer data model, knowledge indexing standards, and query orchestration to ensure consistent answers for agents. The stated outcome is empowered service teams with the information needed to provide quick, real time responses and to increase employee productivity and efficiency as articulated by ADP and Salesforce.
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American International Group (AIG) | Insurance | 25000 | $47.3B | United States | Salesforce | Salesforce Data Cloud | Customer Data Platform | 2021 | n/a |
In 2021 AIG deployed Salesforce Data Cloud as its Customer Data Platform to centralize customer records for marketing, loyalty and digital engagement workflows. The implementation supported marketing operations and campaign orchestration for AIG’s marketing and business teams while workstreams were executed from Houston during Aug 2019 to Jan 2022, reflecting continuity of operational ownership across agencies and internal stakeholders.
The deployment configured core CDP capabilities including segment creation, activation targets and shared Data Extensions used as entry sources for Journey Builder. Engineers and marketers created segments with filter criteria in the Salesforce Data Cloud Segments folder, provisioned activation targets to Salesforce Marketing Cloud, and populated Data Extensions, while administration settings were used to create Accounts, Data Extensions, Users and Roles for governance.
Integrations were explicitly implemented between Salesforce Data Cloud and Salesforce Marketing Cloud for journey activation, Datorama via the Salesforce Data Cloud API connector and app for analytics ingestion, and downstream use of the Salesforce Data Cloud Object and Query API to access data from Salesforce apps such as Loyalty Management. Technical workstreams included use of AMPscript to surface Data Extension fields in messages, Server Side JavaScript in Automation Studio script activities, SOAP API calls to invoke triggers and create redundant records, and data feeds to support complex automated interactions and campaign activations.
Governance and operational practices centered on role-based administration, unit testing of customizations, QA of data feeds and automations, and a process for urgent off-hours pull and push campaigns to meet stakeholder expectations. The project emphasized cross-agency coordination, platform configuration ownership by marketing operations, and continuous research into automation techniques to improve campaign orchestration using Salesforce Data Cloud as the central Customer Data Platform.
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Amerigroup | Insurance | 10000 | $5.0B | United States | Salesforce | Salesforce Data Cloud | Customer Data Platform | 2020 | n/a |
In 2020 Amerigroup implemented Salesforce Data Cloud as a Customer Data Platform to centralize customer identity and create a unified profile model across insurance operations. The Salesforce Data Cloud deployment was targeted at consolidating customer records and enabling cross-functional access for marketing, sales, and service teams within Amerigroup.
Implementation work included a large scale data migration of more than 200,000 customer records into Salesforce Data Cloud, with the project documenting 99.9% data accuracy on ingestion. Teams configured customer segmentation and analytics capabilities in Salesforce Data Cloud to power targeted audiences and to generate actionable insights for downstream campaigns.
The implementation integrated Salesforce Data Cloud with Sales Cloud, Service Cloud, and multiple third party applications, and extended into Salesforce Marketing Cloud operational tooling. Functional components in use included Journey Builder for multi-step customer journeys, Automation Studio for complex automations, Cloud Pages for responsive landing experiences, and AMPscript and Server Side JavaScript for advanced personalization.
Governance and operationalization emphasized automated triggers, decision splits, wait activities, and scheduled import export workflows to reduce manual interventions. The rollouts emphasized marketing operations and customer engagement workflows, with implemented automated workflows in Marketing Cloud reducing manual data entry errors by 40 percent, and email program metrics reporting a 40 percent increase in click through rates and a 48 percent increase in conversion rates where tracked.
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Manufacturing | 3300 | $2.1B | United Kingdom | Salesforce | Salesforce Data Cloud | Customer Data Platform | 2019 | n/a |
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Manufacturing | 150 | $15M | United States | Salesforce | Salesforce Data Cloud | Customer Data Platform | 2020 | n/a |
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Banking and Financial Services | 3800 | $3.6B | Brazil | Salesforce | Salesforce Data Cloud | Customer Data Platform | 2021 | n/a |
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Aerospace and Defense | 17900 | $8.7B | Canada | Salesforce | Salesforce Data Cloud | Customer Data Platform | 2024 | n/a |
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Banking and Financial Services | 5955 | $2.2B | Brazil | Salesforce | Salesforce Data Cloud | Customer Data Platform | 2021 | n/a |
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Buyer Intent: Companies Evaluating Salesforce Data Cloud
- Asahi Europe & International, a Czech Republic based Consumer Packaged Goods organization with 10430 Employees
- Harvard Bus Schl, a United States based Education company with 8 Employees
- Logius, a Netherlands based Government organization with 650 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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