List of Salesforce Marketing Cloud Personalisation Customers
Salesforce
Salesforce Tower 415 Mission Street, 3rd Floor,
San Francisco, 94105, CA,
United States
San Francisco, 94105, CA,
United States
1 415-901-7000
Professional Services
83334
$41.5B
Since 2010, our global team of researchers has been studying Salesforce Marketing Cloud Personalisation customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Salesforce Marketing Cloud Personalisation for Marketing Analytics from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Salesforce Marketing Cloud Personalisation for Marketing Analytics include: LG Electronics South Korea, a South Korea based Manufacturing organisation with 83000 employees and revenues of $64.61 billion, Manulife Bank, a Canada based Banking and Financial Services organisation with 37000 employees and revenues of $53.30 billion, Volvo Cars, a China based Automotive organisation with 42600 employees and revenues of $36.72 billion, Raytheon, a United States based Aerospace and Defense organisation with 52000 employees and revenues of $26.80 billion, J.P. Morgan United Kingdom, a United Kingdom based Banking and Financial Services organisation with 22000 employees and revenues of $23.00 billion and many others.
Contact us if you need a completed and verified list of companies using Salesforce Marketing Cloud Personalisation, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Salesforce Marketing Cloud Personalisation customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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A5 Corp | Professional Services | 250 | $25M | United States | Salesforce | Salesforce Marketing Cloud Personalisation | Marketing Analytics | 2023 | n/a |
In 2023, A5 Corp implemented Salesforce Marketing Cloud Personalisation on their website, establishing a web-focused personalization layer aligned with Marketing Analytics. The deployment is positioned to support marketing and digital experience functions within the professional services firm, using the application to capture session behavior and drive on-site content personalization.
Salesforce Marketing Cloud Personalisation was configured to operate as a real-time decisioning and recommendation engine, with profile building from web behavioral signals, contextual targeting rules, and experience testing workflows. Configuration included content variants, audience segmentation based on behavioral attributes, and event-level instrumentation to inform personalized offers and page compositions.
Operational coverage centers on the corporate website, with the marketing team owning campaign and content governance and running staged rollouts across site areas. Governance and workflow changes emphasize campaign approval, data usage policies for profile-driven personalization, and QA gates for live experiences, while Marketing Analytics is used to surface behavioral insights for ongoing optimization.
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Abrdn Property Income Trust Guernsey | Construction and Real Estate | 10 | $5M | Guernsey | Salesforce | Salesforce Marketing Cloud Personalisation | Marketing Analytics | 2025 | n/a |
In 2025 Abrdn Property Income Trust Guernsey deployed Salesforce Marketing Cloud Personalisation on its corporate website. Salesforce Marketing Cloud Personalisation is being used as a Marketing Analytics application to drive visitor segmentation and deliver personalized web content across investor-facing pages.
The implementation focuses on real-time decisioning, audience segmentation, content personalization templates, and event level tracking consistent with Marketing Analytics workflows. Configuration includes rule-based and behavioral targeting, profile aggregation for recurring visitors, and experimentation capabilities to manage variant content and message sequencing.
Deployment is scoped to the company website and operated by the marketing and digital operations functions within the Guernsey entity. Governance is structured around content templates, targeting rules, and an internal approvals workflow for personalization campaigns, with phased rollouts of targeted experiences and ongoing maintenance by the marketing team.
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Acura USA | Automotive | 1500 | $250M | United States | Salesforce | Salesforce Marketing Cloud Personalisation | Marketing Analytics | 2022 | n/a |
In 2022, Acura USA implemented Salesforce Marketing Cloud Personalisation on its public website as a targeted on-site personalization layer. Salesforce Marketing Cloud Personalisation is used as a Marketing Analytics solution to drive behavioral personalization and content targeting across digital touchpoints, supporting marketing and digital experience functions.
The deployment of Salesforce Marketing Cloud Personalisation was configured to capture visitor behavior and build real-time segments, enable content targeting and recommendations, and support experimentation workflows such as A/B and multivariate testing. Configuration focused on personalization rules, audience segmentation, and real-time decisioning engines typical of Marketing Analytics implementations, with tagging and event collection instrumented on site pages.
Operational scope centers on Acura USA marketing and digital teams, with the solution running on the acuracertified.com website and feeding site-level personalization and campaign execution. Governance is handled through centralized marketing operations processes that control segment definitions, content variants, and rollout windows, while analytics instrumentation ties personalization events back to first-party site analytics and customer data sources for ongoing tuning and attribution.
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Adorama | Retail | 500 | $100M | United States | Salesforce | Salesforce Marketing Cloud Personalisation | Marketing Analytics | 2023 | n/a |
In 2023, Adorama implemented Salesforce Marketing Cloud Personalisation on its public website. The Salesforce Marketing Cloud Personalisation deployment is classified under Marketing Analytics and is positioned to drive personalized commerce experiences on Adorama.com. The implementation reflects a focus on e commerce and marketing functions, aligning personalization with product merchandising and customer engagement workflows.
Configuration emphasized real time behavioral personalization, on site product recommendations, session based profiling, and rule based content targeting, leveraging out of the box recommendation engines and segmentation capabilities common to the product. The implementation included audience segmentation, experience orchestration, and A B experimentation to support iterative optimization of on site content. Data capture was configured to persist session context and profile signals for use in personalization rules.
Technical integration was implemented directly on Adorama.com, ingesting on site event streams and product catalog feeds into Salesforce Marketing Cloud Personalisation for real time decisioning. Operational ownership sits with e commerce and marketing teams responsible for creative content, merchandising rules, and campaign orchestration across the web storefront. The architecture uses client side event capture and server side catalog synchronization to maintain product metadata and inventory context for recommendations.
Governance established a centralized personalization playbook and test governance process to coordinate merchandising, creative, and analytics inputs into Salesforce Marketing Cloud Personalisation. Rollout followed incremental scope, starting with on site recommendation zones and expanding into personalized banners and category pages through staged experiments. Operational workflows emphasize change control for rule updates and shared dashboards for audience definitions.
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Afeela | Automotive | 160 | $67M | Japan | Salesforce | Salesforce Marketing Cloud Personalisation | Marketing Analytics | 2025 | n/a |
In 2025 Afeela deployed Salesforce Marketing Cloud Personalisation on its public website, positioning Salesforce Marketing Cloud Personalisation as the primary Marketing Analytics capability for on‑site behavioral personalization and content decisioning. The initial implementation targets web session level personalization to support marketing and digital customer experience functions.
The configuration leverages core personalization modules including real time decisioning, product and content recommendations, audience segmentation, dynamic content rendering, and experimentation workflows. Event level tracking and profile enrichment feed the personalization engine so segments and decision logic are evaluated at page render time, while campaign configuration and template libraries enable marketing to manage creative variants and targeting rules.
Integration work focused on embedding the personalization client and using server side decision APIs to deliver contextual content on the Afeela website, with front end engineering supporting SDK instrumentation and marketing operations owning segment and campaign setup. Operational coverage centers on the digital marketing and customer experience teams, who manage content, testing plans, and audience definitions, while product engineering and site reliability support implementation stability and latency considerations.
Governance and rollout followed a phased approach with iterative launches, content approval workflows, and experiment governance to validate decision rules before broader activation. Implementation artifacts emphasize runbooks for tag management, decision logic versioning, and operational handoffs between marketing operations and engineering to maintain personalized experiences within the Marketing Analytics capability.
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Insurance | 60 | $5M | United States | Salesforce | Salesforce Marketing Cloud Personalisation | Marketing Analytics | 2023 | n/a |
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Automotive | 10000 | $2.5B | United States | Salesforce | Salesforce Marketing Cloud Personalisation | Marketing Analytics | 2024 | n/a |
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Retail | 3000 | $300M | Poland | Salesforce | Salesforce Marketing Cloud Personalisation | Marketing Analytics | 2025 | n/a |
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Leisure and Hospitality | 500 | $100M | Australia | Salesforce | Salesforce Marketing Cloud Personalisation | Marketing Analytics | 2022 | n/a |
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Professional Services | 55 | $6M | Singapore | Salesforce | Salesforce Marketing Cloud Personalisation | Marketing Analytics | 2023 | n/a |
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Showing 1 to 10 of 321 entries
Buyer Intent: Companies Evaluating Salesforce Marketing Cloud Personalisation
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Salesforce Marketing Cloud Personalisation. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Salesforce Marketing Cloud Personalisation for Marketing Analytics include:
- Zell Print, a United Kingdom based Retail organization with 10 Employees
- Genetrix Technology, a India based Professional Services company with 16 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Salesforce Marketing Cloud Personalisation Coverage
Salesforce Marketing Cloud Personalisation is a Marketing Analytics solution from Salesforce.
Companies worldwide use Salesforce Marketing Cloud Personalisation, from small firms to large enterprises across 21+ industries.
Organizations such as LG Electronics South Korea, Manulife Bank, Volvo Cars, Raytheon and J.P. Morgan United Kingdom are recorded users of
Salesforce Marketing Cloud Personalisation for Marketing Analytics.
Companies using Salesforce Marketing Cloud Personalisation are most concentrated in Manufacturing, Banking and Financial Services and Automotive, with adoption spanning over 21 industries.
Companies using Salesforce Marketing Cloud Personalisation are most concentrated in South Korea, Canada and China, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Salesforce Marketing Cloud Personalisation across Americas, EMEA, and APAC.
Companies using Salesforce Marketing Cloud Personalisation range from small businesses with 0-100 employees - 31.15%, to mid-sized firms with 101-1,000 employees - 35.51%, large organizations with 1,001-10,000 employees - 25.23%, and global enterprises with 10,000+ employees - 8.1%.
Customers of Salesforce Marketing Cloud Personalisation include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Salesforce Marketing Cloud Personalisation customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Marketing Analytics.