We detected 14,731 customers using Salesforce Service Cloud, 59 companies that churned or ended their trial, and 520 customers with estimated renewals in the next 3 months. The most common industry is Software Development (12%) and the most common company size is 51-200 employees (29%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
Note: We can only detect companies that use Salesforce Service Cloud for live-chat/web messaging, Einstein bots, or omni-channel routing (and not customers using it just for case management). We are also unable to detect churned customers for this vendor, only new customers
About Salesforce Service Cloud
Salesforce Service Cloud provides an AI-powered customer service platform that helps businesses manage and resolve customer inquiries across multiple channels including phone, email, chat, and social media through a unified workspace.
📊 Who in an organization decides to buy or use Salesforce Service Cloud?
Source: Analysis of 100 job postings that mention Salesforce Service Cloud
Job titles that mention Salesforce Service Cloud
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Based on an analysis of job titles from postings that mention Salesforce Service Cloud.
Job Title
Share
Director of Customer Support
17%
Senior Director of Customer Support
11%
Director of Customer Service
9%
Head of Customer Operations
6%
My analysis shows that Salesforce Service Cloud buyers are predominantly customer support and service leaders, with Directors of Customer Support (17%), Senior Directors of Customer Support (11%), and Directors of Customer Service (9%) leading purchasing decisions. These executives are focused on scaling global operations, achieving high CSAT scores (consistently 90%+ targets), and integrating AI-powered automation to improve efficiency. They prioritize building multi-tier support models, reducing response times, and driving customer retention through proactive service delivery.
Day-to-day users span a wide range, from frontline customer service representatives and technical support specialists to Customer Success teams, field service technicians, and business analysts. Practitioners use Service Cloud for case management, omnichannel routing, knowledge base development, customer health scoring, and integration with tools like Gainsight, Zendesk, and telephony systems. The platform supports everything from ticket triage and SLA tracking to customer onboarding and complaint resolution workflows.
The recurring pain points center on operational scale and customer experience excellence. Companies seek to "deliver exceptional customer experiences across multiple markets, languages, and channels" while "maintaining strong operational efficiency." They want to "proactively manage leading indicators that drive customer retention" and "transform support into a competitive advantage." Leaders emphasize building "AI-enhanced" and "digital-first experiences" that improve "resolution times, self-service adoption, and overall customer satisfaction" across increasingly complex, global customer bases.
🔧 What other technologies do Salesforce Service Cloud customers also use?
Source: Analysis of tech stacks from 14,731 companies that use Salesforce Service Cloud
Commonly Paired Technologies
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Shows how much more likely Salesforce Service Cloud 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 companies using Salesforce Service Cloud are deeply embedded in the Salesforce ecosystem and operate as mature, enterprise-focused businesses with sophisticated customer experience strategies. The overwhelming correlation with Salesforce CRM and Experience Cloud tells me these aren't companies dabbling with point solutions. They're organizations that have made a strategic commitment to building their entire customer engagement infrastructure on one integrated platform.
The pairing of Service Cloud with Pardot and Adobe Audience Manager reveals a marketing-heavy approach to customer acquisition and retention. These companies are running complex, multi-touch marketing campaigns and using audience segmentation to personalize experiences at scale. When I see Qualtrics appearing 250 times more frequently, it suggests they're obsessed with measuring customer satisfaction and closing the feedback loop between service interactions and business outcomes. The Okta correlation is particularly telling because it indicates these organizations have complex security requirements, likely because they're managing service operations across multiple teams, geographies, or even customer portals.
My analysis shows these are sales-led and marketing-led organizations in the growth or mature stage. They've moved past startup scrappiness and invested heavily in enterprise software to manage increasingly complex customer relationships. The combination of service, sales, marketing automation, and experience platforms suggests they're running full-funnel operations where customer service isn't just a cost center but part of their retention and expansion strategy.
👥 What types of companies is most likely to use Salesforce Service Cloud?
Source: Analysis of Linkedin bios of 14,731 companies that use Salesforce Service Cloud
Company Characteristics
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Shows how much more likely Salesforce Service Cloud 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
Funding Stage: Series D
45.3x
Funding Stage: Series C
27.5x
Funding Stage: Post IPO debt
23.4x
Company Size: 1,001-5,000
8.4x
Country: JP
5.1x
Industry: Fundraising
4.6x
I noticed that Salesforce Service Cloud users span an incredibly diverse range of operations, but they share a common thread: they all manage complex customer relationships at scale. These companies include financial services firms handling thousands of client accounts, healthcare providers coordinating patient care, educational institutions serving student populations, real estate developers managing property portfolios, and manufacturers distributing products through extensive networks. What unites them isn't what they sell, but rather that they all need to track, support, and serve large numbers of end users or clients with varying needs.
These are predominantly established, mature organizations. The employee counts skew heavily toward 200-plus employees, with many exceeding 1,000. Most lack recent funding rounds, suggesting they're profitable and self-sustaining rather than venture-backed startups. Even those with funding history appear to be in late-stage or private equity phases rather than early venture stages.
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