We detected 318 companies using Salesforce Data 360 and 15 customers with upcoming renewal in the next 3 months. The most common industry is Retail (11%) and the most common company size is 51-200 employees (35%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
📊 Who usually uses Salesforce Data 360 and for what use cases?
Source: Analysis of job postings that mention Salesforce Data 360 (using the Bloomberry Jobs API)
Job titles that mention Salesforce Data 360
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Based on an analysis of job titles from postings that mention Salesforce Data 360.
Job Title
Share
Data Engineer
20%
Marketing Automation Specialist
16%
Solutions Architect
12%
Backend Engineer
8%
My analysis shows that Salesforce Data 360 purchasing decisions are driven primarily by technical leaders in marketing operations and data architecture roles. Only 4% of postings are for leadership positions, with the sole Director of Product Management role sitting within Salesforce itself. This suggests that buying decisions happen at the VP or C-suite level in marketing and IT departments, but they're hiring technical implementers rather than additional leaders. These organizations are prioritizing customer data unification and real-time activation capabilities, seeking professionals who can bridge business strategy with technical execution.
Day-to-day users are predominantly data engineers and marketing technologists who configure data streams, build identity resolution rules, create audience segments, and activate data across multiple clouds. I noticed practitioners spending significant time on data ingestion from disparate sources, developing Data Model Objects, writing SQL for calculated insights, and troubleshooting data quality issues. Marketing automation specialists focus on translating engagement strategies into scalable campaigns, managing customer journeys, and optimizing personalization workflows.
The core pain point centers on creating unified customer views from fragmented data sources. Companies repeatedly mention goals like achieving a single comprehensive 360-degree view, enabling personalized experiences across marketing and service, and transforming unified customer data into actionable audiences. One posting emphasized the need to balance platform scalability with marketer usability while meeting enterprise-scale and real-time requirements. Another highlighted architecting data-driven, integrated enterprise platforms that improve customer engagement and operational efficiency through AI-enabled automation.
👥 What types of companies use Salesforce Data 360?
Source: Analysis of Linkedin bios of 318 companies that use Salesforce Data 360
Company Characteristics
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Shows how much more likely Salesforce Data 360 customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Country: Finland
26.2x
Company Size: 10,001+
22.5x
Company Size: 1,001-5,000
16.6x
Funding Stage: Series unknown
16.5x
Industry: Retail
10.7x
Country: Australia
7.1x
I noticed that Salesforce Data 360 attracts an incredibly diverse range of companies across almost every conceivable sector. These aren't concentrated in one industry. Instead, I see nonprofits helping homeless veterans, furniture manufacturers, real estate developers, automotive logistics firms, skincare brands, educational institutions, financial services companies, and everything in between. What they share is operational complexity. They're managing intricate customer relationships, multiple touchpoints, and detailed workflows that require sophisticated data management.
These are predominantly established, mature organizations rather than startups. The employee counts tell the story clearly: most range from 50 to several thousand employees, with many listing 10-plus years of operation. I see companies founded in the 1920s, 1950s, and 1970s alongside those from the early 2000s. Very few show recent venture funding, and those that do are typically Series B or later. These are companies with legacy operations seeking to modernize, not early-stage ventures building from scratch.
🔧 What other technologies do Salesforce Data 360 customers also use?
Source: Analysis of tech stacks from 318 companies that use Salesforce Data 360
Commonly Paired Technologies
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Shows how much more likely Salesforce Data 360 customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Salesforce Data 360 users are predominantly enterprise commerce and digital experience companies running sophisticated, multichannel customer operations. The presence of Agentforce Commerce alongside premium content management and personalization tools like Adobe Experience Cloud and Adobe Experience Manager tells me these are large retailers or B2C brands investing heavily in unified customer experiences across web, mobile, and commerce platforms.
The pairing of Pardot with Data 360 is particularly revealing. These companies aren't just running transactional ecommerce, they're running complex B2B or high-consideration B2C sales cycles where marketing automation and lead nurturing matter. Power Reviews showing up 1,771 times more frequently suggests they're in categories where social proof and user-generated content drive conversions, like consumer electronics, home goods, or fashion. Riskified's presence, despite appearing in only 5 companies, is significant because it's fraud prevention software used by high-volume merchants dealing with substantial transaction risk.
The full stack reveals marketing-led organizations at the enterprise or late growth stage. They've moved beyond basic marketing and sales tools into integrated customer data platforms that can unify behavior across touchpoints. The Adobe suite indicates serious investment in content production and personalization, while Pardot shows they're tracking long customer journeys. These aren't startups experimenting with tools, they're established companies with complex data governance needs and multiple customer touchpoints to orchestrate.
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