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.
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.
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
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
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
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
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
