Executive Summary
At Dreamforce 2025, Salesforce Data Cloud was renamed Data 360. However, the buyer profile, deployment patterns, and vendor sales motion did not change, but the list of top companies using it has been recently updated.
So, if you sell anything that touches identity resolution, zero copy federation, AI activation, or agentic workflows, this list can be your target account universe. The framework tells you which tier each account belongs to and how to pitch differently to each.
This list of 50 verified companies running Data Cloud / Data 360 in production is grouped across seven industries. What makes it unique is that it introduces the
Four-Tier Maturity Model that determines which of these accounts are actually buyable for any given vendor.
The Six-Renames Problem (and Why a Fresh Customer List Still Matters)
In six years, Salesforce has renamed its customer data platform six times: Customer 360 Audiences, Salesforce CDP, Marketing Cloud Customer Data Platform, Salesforce Genie, Salesforce Data Cloud, and, as of Dreamforce 2025, Data 360.
The product evolved. The pricing evolved. The buyer did not.
Chief Data Officers, CDP Architects, MarTech Directors, and Heads of Customer Intelligence inside enterprise IT teams have been the same decision-makers approving these purchases since 2020. The accounts buying have also remained largely the same.
What changed is the use case wrapper: from marketing personalization, to unified Customer 360, to Einstein 1 grounding, to the data spine for Agentforce 360.
That permanence is the reason a verified customer list still matters in 2026.
A vendor selling Zero Copy connectors, agentic guardrails, identity resolution alternatives, or unstructured data preparation tooling has a near-identical ICP whether the prospect calls it Data Cloud or Data 360.
The list below, drawn from public Salesforce customer stories, AWS-Salesforce joint case studies, Dreamforce keynote announcements, and Constellation Research citations, captures 50 of the most notable enterprise deployments live as of Q2 2026.
But a list alone is commodity content. Anyone with a search engine can scrape names. The framework that follows is what turns a list into a sales motion.
Key takeaway: The product has had six names in six years. The buyer has had one job description the whole time. Sell to the role, not the rebrand.
The Four-Tier Data Cloud Maturity Model
Across SGS’s tracking of 1,103 verified Salesforce Data Cloud / Data 360 deployments (refreshed every 30 days), one pattern shows up repeatedly: companies on this customer list are not interchangeable buyers. They sit in four distinct operational maturity tiers, and the tier dictates which vendors they will actually engage with.
The tier you target determines your reply rate. Pitching a Tier 4 capability to a Tier 1 account wastes both sides’ time. Pitching a Tier 1 service to a Tier 4 account positions you as five years behind.
Proprietary Insight from SGS Install-Base Intelligence
Of the 1,103 Data Cloud / Data 360 deployments SGS tracks, the distribution skews toward Tier 2 and Tier 3, with Tier 1 and Tier 4 at the edges. Generic Salesforce ecosystem outreach targets Tier 1 by default and misses where the active expansion budget actually lives.
TIER 1
Foundation
21% of deployments
Recently deployed Data Cloud, often less than 12 months in. Use case is typically a single Salesforce cloud (Marketing Cloud or Service Cloud) needing a unified profile layer. Data volume is modest. Buying center is the original Salesforce admin team.
Active spend categories: implementation services, basic identity resolution, change management.
TIER 2
Activation
38% of deployments
Multi-cloud Salesforce footprint. Data Cloud now feeding two or more clouds (Marketing + Service, or Marketing + Commerce). Active expansion into segmentation use cases, look-alike modeling, and paid media activation through Meta, Google, and TikTok integrations. Buying center expands to include MarTech directors and digital marketing leaders.
Active spend categories: activation channels, audience management tools, campaign measurement.
TIER 3
Federation
29% of deployments
Zero Copy connections to Snowflake, Databricks, BigQuery, or Redshift are live. The data warehouse team is now part of the buying conversation. B2B Data Cloud or account-based unified data is in scope. Identity resolution is treated as table stakes. Buying center is now CDO + Head of Data Engineering + MarTech Director.
Active spend categories: data engineering tooling, governance platforms, observability, semantic layers.
TIER 4
Agentic
12% of deployments
Data Cloud is the context layer for Agentforce. AI agents are in production for sales, service, or commerce workflows. Tableau Semantics is being implemented. Intelligent Context features are in pilot. Buying center is CDO + CIO + Head of AI/ML + Chief Customer Officer.
Active spend categories: agent observability, prompt safety, agent orchestration, unstructured data prep, voice and conversational AI tooling.
Why This Matters
A vendor selling agent observability tools should never waste outreach on Tier 1 accounts. A vendor selling implementation services should never pitch Tier 4 accounts as net-new. The right tier means the right pitch and a 3 to 5x lift in reply rates compared to generic Salesforce ecosystem targeting.
Want the tier breakdown for your ICP?
See how the 1,103 verified Data Cloud accounts split across your target industries and geographies.
The 50 Most Notable Companies Using Salesforce Data Cloud / Data 360 in 2026
The list below is grouped by industry and tagged with the maturity tier and primary use case.
Sources
Publicly documented Salesforce customer stories, Dreamforce 2024 and 2025 announcements, Salesforce earnings call references (Pfizer, Marriott, U.S. Army cited in Q2 FY2026 results), AWS-Salesforce joint case studies, and Constellation Research’s coverage of Agentforce deployments.
Financial Services and Insurance
- Bank of America (Tier 3): Unified risk profiles and cross-product personalization across 213,000+ employees globally.
- Guidewell (Tier 2): US-based insurance organization with 18,000+ employees using Data Cloud for member data unification.
- Highmark Blue Shield (Tier 2): 44,000+ employees, healthcare insurance use case for unified member experience.
- 1-800Accountant (Tier 4): Agentforce + Data Cloud autonomously resolved 70% of chat engagements during 2025 tax week.
- VentureCrowd (Tier 4): Australia’s leading investment platform, used Agentforce 360 to cut deployment cycles by 75%.
Life Sciences, Healthcare, and Pharma
- Pfizer (Tier 4): Cited by Salesforce in Q2 FY2026 as a leading agentic enterprise customer.
- Takeda (Tier 3): Japan-based, 47,000+ employees, $30B+ revenue. Life sciences customer 360 use case.
- UChicago Medicine (Tier 4): Implementing Agentforce for Health on the Data Cloud foundation for non-clinical workflows.
- Transcend (Tier 4): Telehealth provider unifying patient data across Health Cloud and Data Cloud for AI-assisted scheduling.
- Alpine Intel (Tier 4): Insurance claims platform using Data Cloud + Agentforce for adjuster productivity.
Retail, Consumer Goods, and Luxury
- L’Oréal (Tier 3): France-based, 87,000+ employees. Global beauty consumer 360 across the brand portfolio.
- Gucci (Tier 3): Italy-based luxury retail, 18,000+ employees. Clienteling and customer 360 across stores.
- PUMA (Tier 3): Germany-based, 20,000+ employees. Global retail and loyalty customer 360.
- Hershey (Tier 2): US-based CPG, 19,000+ employees. Omnichannel consumer data unification.
- Saks (Tier 4): Named by Salesforce as an early Agentforce explorer building on the Data Cloud foundation.
- Williams-Sonoma (Tier 3): Multi-brand retail using Data Cloud for unified customer activation across home and lifestyle brands.
Travel, Hospitality, and Transportation
- Marriott (Tier 4): Cited by Salesforce in Q2 FY2026 results as a flagship agentic enterprise transformation.
- Air India (Tier 3): Uses Data Cloud + Sales Cloud + Service Cloud + Tableau for passenger experience and AI-powered service.
- Heathrow Airport (Tier 3): UK-based, 6,800+ employees. Passenger experience and traveler data unification.
- JetBlue (Tier 2): US-based transportation, 23,000+ employees. Active Data Cloud expansion.
- Adecco Group (Tier 4): Switzerland-based, 39,000+ employees. Recruiter productivity via Data Cloud-grounded Agentforce.
You’re seeing 50. We track 1,103.
The other 1,053 verified deployments, including 7,215 decision-maker contacts with role, module, and Zero Copy stack data are in the SGS verified database.
Automotive and Manufacturing
- Ford Motor Company (Tier 3): US-based, 177,000+ employees. Dealer and consumer data unification.
- Toyota (Tier 2): Confirmed Salesforce ecosystem customer, Data Cloud use case for dealer experience.
- Hino Motors (Tier 2): Japan-based commercial vehicle manufacturer, customer service and dealer Data Cloud deployment.
Media, Entertainment, and Sports
- Formula 1 (Tier 4): UK-based, 600+ employees. 80% faster response times with Agentforce pulling from Data Cloud across 700M+ fan audience.
- Spotify (Tier 3): Sweden-based, 9,800+ employees. Listener personalization and cross-platform activation.
- Yahoo! (Tier 4): Agentforce + Data Cloud resolves 25,000 customer FAQs monthly.
- Wiley (Tier 4): Educational publishing, named as an early Agentforce builder.
- Grupo Globo (Tier 4): Brazilian media group, 22% retention rate increase from Agentforce on Data Cloud foundation.
- OpenTable (Tier 4): Restaurant reservation platform building Agentforce experiences on Data Cloud.
Technology, SaaS, and Telecommunications
- HubSpot (Tier 3): US-based SaaS, 7,000+ employees. B2B customer intelligence embedded in the Salesforce ecosystem.
- Indeed (Tier 4): Job marketplace using Agentforce on Data Cloud to autonomously handle employer verification.
- ADP (Tier 3): US-based professional services, 65,000+ employees, $20B+ revenue. HR data unification.
- Nokia (Tier 2): Telecom equipment, multi-cloud Salesforce deployment with Data Cloud activation.
- Workday (Tier 3): Confirmed Data Cloud + Salesforce ecosystem customer for go-to-market intelligence.
Government, Education, and Non-Profit
- U.S. Army (Tier 4): Cited by Salesforce in Q2 FY2026 as a major agentic enterprise customer.
- Singapore Institute of Management (Tier 1): Education sector deployment, unified student lifecycle.
- Test-Achats (Tier 1): Belgium-based non-profit, foundational Data Cloud deployment.
Additional Notable Enterprise Deployments
- Honeywell (Tier 3): Industrial conglomerate, multi-cloud Salesforce footprint with Data Cloud activation.
- AT&T (Tier 3): Telecom giant, customer experience unification on Data Cloud.
- Vodafone (Tier 3): Global telecom, Data Cloud powering customer service personalization.
- Philips (Tier 3): Healthcare technology, B2B account intelligence on Data Cloud.
- Schneider Electric (Tier 3): Energy management, unified customer and partner data.
- Kraft Heinz (Tier 2): CPG, omnichannel consumer data activation.
- Mondelez International (Tier 2): CPG, consumer 360 across global brand portfolio.
- Johnson Controls (Tier 2): Building technology, customer service unification.
- Siemens (Tier 3): Industrial technology, B2B account-based data unification.
- Lufthansa (Tier 2): Aviation, passenger experience and loyalty data activation.
- DBS Bank (Tier 3): Singapore-based banking, customer 360 and AI-readiness layer.
- Bionic (Tier 4): UK SME-focused energy supplier, named by Salesforce as a model agentic enterprise customer.
How to Use This List by Industry, Tier, and Vendor Type
A 50-company list is interesting. A 50-company list filtered through your specific go-to-market is actionable. Here is how the four most common vendor types should read this list.
If you sell agent observability, prompt safety, or agentic AI tooling
Filter for Tier 4 only. That is the 12% of the universe where Agentforce is in production and the buying team is actively budgeting for guardrails.
Names like Marriott, Pfizer, U.S. Army, Saks, Wiley, OpenTable, 1-800Accountant, Alpine Intel, Bionic, and VentureCrowd are your immediate ICP. The mid-market and enterprise Tier 4 accounts not on this list are the larger universe.
If you sell Zero Copy connectors, federation tooling, or data engineering infrastructure
Filter for Tier 3. Snowflake, Databricks, BigQuery, and Redshift adoption pairs naturally here.
Bank of America, L’Oréal, Ford, Spotify, ADP, HubSpot, Heathrow are your reference accounts. Your pitch lives in the integration depth, not the customer experience layer.
If you sell identity resolution, CDP migration, or activation tooling
Filter for Tier 2. This is the largest segment (38%). Accounts are actively expanding from a single-cloud deployment into multi-cloud activation.
JetBlue, Hershey, Toyota, Kraft Heinz, Mondelez, Johnson Controls, Lufthansa fit cleanly. Your pitch is about velocity to activation and channel breadth.
If you sell implementation services, change management, or training
Filter for Tier 1. Foundation-stage accounts are still learning the platform.
Singapore Institute of Management, Test-Achats and the long tail of foundational deployments need partner muscle. Your pitch is about reducing implementation risk, not advanced features.
The single most expensive mistake
Pitching the same value proposition to all four tiers. A Tier 4 buyer rolls their eyes at implementation services. A Tier 1 buyer panics at agent observability. The maturity tier is the most underweighted variable in CDP-adjacent outbound.
Why Generic Salesforce Customer Lists Fail Against This Audience
Most “companies using Salesforce” lists aggregate every Salesforce customer regardless of which clouds they run. That works for vendors selling broad CRM-adjacent services. It fails completely for anyone selling into the CDP buyer.
A Marketing Cloud user is not a Data Cloud user. A Service Cloud admin is not a CDP Architect. A Sales Cloud power user is not a Chief Data Officer.
The roles, budgets, and KPIs do not overlap. When a vendor selling Zero Copy federation reaches out to a Pardot administrator, the response rate craters because the message landed in the wrong inbox.
This is why SGS maintains a separate verified database for Salesforce Data Cloud customers and tracks 70+ data fields per record, including the specific Data Cloud modules deployed, adjacent data warehouses connected via Zero Copy, and Agentforce activation status. The same buyer permanence that makes the six renames irrelevant is what makes role-specific verification valuable.
For broader Salesforce ecosystem targeting, the Salesforce CRM users list covers the full footprint. For CDP-specific outreach, the Data Cloud / Data 360 list is the right starting point, paired with the technology users list for adjacent stack signals like Snowflake, Tableau, and AWS.
How to Get a Verified Salesforce Data Cloud Customer List for Your Pipeline
The 50 names above are public. The other 1,053 deployments SGS tracks are not. They sit inside a verified contacts database refreshed every 30 days, segmented by industry, geography, deployment maturity tier, modules in use, and adjacent stack signals.
For B2B vendors selling into this audience, the value of a verified list is not the names. It is the role-level accuracy. Reaching the actual CDP Architect inside Heathrow, the actual Chief Data Officer inside Ford, the actual Head of MarTech inside L’Oréal: that is what moves reply rates from 1% to 4%. Generic firmographic outreach hits assistants and gatekeepers. Verified role-level data hits decision-makers.
The Salesforce Data Cloud users list from SGS is built for vendors whose product extends, integrates with, or competes against Data Cloud. It includes 1,103 verified deployments, 7,215 decision-maker contacts, GDPR / CCPA / CAN-SPAM / CASL compliance, 97% email deliverability, and CRM-ready exports for Salesforce, HubSpot, Marketo, and Pardot.
If your team is currently trying to filter a generic Salesforce list down to Data Cloud users by guessing from job titles, you are losing 60% of your real ICP and chasing 60% noise. The verified list closes that gap.
Ready to See the Real Data?
Request a free sample of the Salesforce Data Cloud customers list and see exactly how role-level accuracy and module-level segmentation change the math on your outbound campaigns.
Frequently Asked Questions
Q.How many companies use Salesforce Data Cloud (now Data 360) in 2026?
SGS tracks 1,103 verified Salesforce Data Cloud / Data 360 deployments globally, with 7,215 decision-maker contacts. The named 50 in this article are public-source confirmed. The remaining 1,053 are in the verified database.
Q.Did Salesforce really rename Data Cloud to Data 360?
Yes. Salesforce announced the rename at Dreamforce 2025, formalizing it as part of the Agentforce 360 umbrella. The product, buyer profile, and underlying technology remained the same. This is the sixth name change since the platform launched as Customer 360 Audiences in 2020.
Q.Which industries dominate Salesforce Data Cloud adoption?
Technology and SaaS lead at 28% of deployments, followed by Financial Services (19%), Retail and E-commerce (15%), Healthcare and Life Sciences (12%), Media and Marketing (10%), and Manufacturing (8%). The remaining 8% spans cross-functional enterprise use cases.
Q.What is the Four-Tier Maturity Model and why does it matter for B2B vendors?
The Four-Tier Maturity Model segments Salesforce Data Cloud accounts by deployment maturity: Foundation, Activation, Federation, and Agentic. Each tier has a different buying center, different budget priorities, and different competitive context. Vendors that pitch the wrong tier waste outreach. Vendors that match their value proposition to the right tier see 3 to 5x lift in reply rates.
Q.Where can I get a verified contact list of Salesforce Data Cloud customers?
A verified Salesforce Data Cloud customers list is available from Span Global Services with 1,103 deployments, 7,215 decision-maker contacts, 30-day refresh cycles, and 97% email deliverability. Request a free sample through the SGS contact page.
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