Companies that use Salesforce Marketing Cloud Personalization

Analyzed and validated by Henley Wing Chiu
All personalization and customer engagement Salesforce Marketing Cloud Personalization

Salesforce Marketing Cloud Personalization We detected 622 customers using Salesforce Marketing Cloud Personalization, 117 companies that churned or ended their trial, and 22 customers with estimated renewals in the next 3 months. The most common industry is Retail (12%) and the most common company size is 1,001-5,000 employees (19%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.

About Salesforce Marketing Cloud Personalization

Salesforce Marketing Cloud Personalization enables businesses to deliver real-time personalized content, offers, and experiences across websites, email, mobile apps, and other channels by leveraging customer data, behavior tracking, and AI-powered machine learning to dynamically adapt interactions for each individual customer throughout their journey.

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
NJIT Hillier College of Architecture and Design 51–200 Higher Education US +31.4% 2025-12-23
CIPD 201–500 Human Resources Services GB +1.8% 2025-12-02
Standard Bank Group 10,001+ Financial Services ZA +4.3% 2025-11-30
Link Logistics 1,001–5,000 Real Estate US +8% 2025-11-28
ClearChoice Dental Implant Centers 1,001–5,000 Hospitals and Health Care US +3.3% 2025-11-21
Merit America 201–500 Professional Training and Coaching US +0.9% 2025-10-31
Pivotal - Subscription by JLR 11–50 Motor Vehicle Manufacturing GB +15.4% 2025-10-25
Feel Good Contacts 11–50 Retail GB +10% 2025-10-22
WoodCrafters 1,001–5,000 Furniture US N/A 2025-10-14
Kitchen Craft 1,001–5,000 Furniture CA N/A 2025-10-13
Pendleton Woolen Mills 501–1,000 Retail Apparel and Fashion US -0.4% 2025-10-07
Via Verde 51–200 Consumer Services PT +24.9% 2025-09-25
Brillux 1,001–5,000 Chemical Manufacturing DE N/A 2025-09-12
UltraCraft Cabinetry 201–500 Wholesale Building Materials US N/A 2025-09-06
StarMark Cabinetry 501–1,000 Building Materials US N/A 2025-09-06
Milwaukee Tool UK 201–500 Manufacturing GB +4.8% 2025-07-26
Boston Scientific 10,001+ Medical Equipment Manufacturing US +11% 2025-07-21
Vax 201–500 Manufacturing GB +14.6% 2025-07-02
MarketiNet 11–50 Advertising Services ES -26.7% 2025-06-25
Johnson/Turner 11–50 Law Practice US 0% 2025-06-17
Showing 1-20 of 622

Market Insights

🏢 Top Industries

Retail 73 (12%)
Financial Services 65 (11%)
Construction 32 (5%)
Banking 29 (5%)
Hospitals and Health Care 26 (4%)

📏 Company Size Distribution

1,001-5,000 employees 120 (19%)
51-200 employees 106 (17%)
201-500 employees 102 (16%)
501-1,000 employees 84 (14%)
10,001+ employees 75 (12%)

📊 Who in an organization decides to buy or use Salesforce Marketing Cloud Personalization?

Source: Analysis of 100 job postings that mention Salesforce Marketing Cloud Personalization

Job titles that mention Salesforce Marketing Cloud Personalization
i
Job Title
Share
Marketing Cloud Developer
28%
Marketing Automation Specialist
15%
Director of Digital Marketing
12%
Salesforce Architect
10%
I noticed that buying decisions for Salesforce Marketing Cloud Personalization sit primarily with marketing and technology leadership. Directors of Digital Marketing, MarTech leaders, and IT Service Managers comprise the decision-maker layer, with roughly 12-15% of postings targeting these strategic roles. They're focused on driving customer engagement, conversion optimization, and delivering personalized experiences across channels. The emphasis on cross-functional collaboration suggests buyers need to align marketing, IT, and data teams around a unified personalization strategy.

The hands-on users are predominantly technical practitioners. Marketing Cloud Developers and Personalization Specialists make up 43% of roles, working daily to configure campaigns, build dynamic content, design customer journeys, and implement real-time behavioral tracking. These practitioners write JavaScript and AMPscript, integrate APIs, manage data feeds and identity resolution, and deploy A/B tests. They bridge marketing strategy and technical execution, translating business requirements into personalized web experiences, email campaigns, and omnichannel journeys.

The pain points reveal companies struggling to move from generic marketing to true personalization at scale. Organizations want to deliver "real-time, 1:1 customer experiences" and create "seamless, relevant, and high-performing digital experiences." Multiple postings emphasize the need to "optimize conversion paths" and "drive measurable improvements in customer journeys." Companies are also working to unify fragmented data sources, with frequent mentions of integrating Marketing Cloud Personalization with CDPs, Data Cloud, and Commerce platforms to achieve "unified customer profiles" and "actionable insights across all touchpoints."

🔧 What other technologies do Salesforce Marketing Cloud Personalization customers also use?

Source: Analysis of tech stacks from 622 companies that use Salesforce Marketing Cloud Personalization

Commonly Paired Technologies
i
Technology
Likelihood
396.2x
318.1x
285.0x
121.5x
110.2x
98.2x
I noticed that Salesforce Marketing Cloud Personalization users are enterprise-scale companies running sophisticated digital operations with serious investments in performance, security, and customer experience. The presence of tools like Akamai, Dynatrace, and Datadog Real User Monitoring tells me these are high-traffic digital properties where milliseconds matter and uptime is critical. This isn't software for small businesses experimenting with personalization. These are major organizations treating their digital presence as mission-critical infrastructure.

The pairing with OneTrust Consent Management Platform appearing 98 times more often is particularly revealing. Companies need consent management when they're collecting substantial customer data across multiple touchpoints and operating under strict privacy regulations. Combined with Salesforce Marketing Cloud Personalization, this suggests these businesses are creating individualized experiences at scale while managing complex compliance requirements. The Dynatrace and Datadog combinations reinforce this picture. When you're personalizing content for millions of visitors, you need real-time monitoring to ensure those personalized experiences actually load quickly and work properly.

My analysis shows these are marketing-led enterprises at mature growth stages. The heavy Salesforce ecosystem adoption, with both Marketing Cloud and Service Cloud appearing alongside personalization tools, indicates companies that have already committed deeply to a unified customer data strategy. They're not testing channels independently. They're orchestrating experiences across marketing, service, and sales with integrated data flowing between systems. The infrastructure investments in CDNs and monitoring tools suggest they've moved past product-market fit and are optimizing at scale.

👥 What types of companies is most likely to use Salesforce Marketing Cloud Personalization?

Source: Analysis of Linkedin bios of 622 companies that use Salesforce Marketing Cloud Personalization

Company Characteristics
i
Trait
Likelihood
Company Size: 1,001-5,000
10.5x
Industry: Retail
7.3x
Country: AU
5.0x
Company Size: 501-1,000
4.7x
Industry: Financial Services
3.4x
Company Size: 201-500
2.3x
I noticed that Salesforce Marketing Cloud Personalization users span an incredibly diverse range of sectors, but they share a common thread: they're consumer-facing businesses with direct customer relationships. These companies sell everything from contact lenses and dental implants to vacation homes and car subscriptions. What unites them is that they're moving physical products, services, or experiences to end consumers, whether that's Royal Enfield selling motorcycles in India, Lilly Pulitzer selling resort wear, or Dogtopia providing dog daycare. Many are retailers, financial services providers, healthcare companies, or brands in automotive, travel, and home improvement sectors.

These are predominantly mature, established enterprises. The employee counts tell the story: I see multiple companies with 1,000+ employees, several with 10,000+, and many describing decades or even centuries of history (CIPD mentions "over years," Pendleton references "six generations of family ownership since 1863"). While there are some smaller players in the 50-200 employee range, the dominant pattern is large organizations with extensive physical footprints, multiple locations, and established market presence.

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