List of AI Marketing OS Customers
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Since 2010, our global team of researchers has been studying AI Marketing OS 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 AI Marketing OS for Artificial Intelligence Marketing 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 AI Marketing OS for Artificial Intelligence Marketing include: Thermo Fisher Scientific, a United States based Life Sciences organisation with 125000 employees and revenues of $42.88 billion, Lenovo China, a China based Manufacturing organisation with 41700 employees and revenues of $15.20 billion, Juniper Networks, a United States based Professional Services organisation with 10901 employees and revenues of $5.30 billion and many others.
Contact us if you need a completed and verified list of companies using AI Marketing OS, 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 AI Marketing OS 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 | Insight Source |
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Juniper Networks | Professional Services | 10901 | $5.3B | United States | Copy.ai | AI Marketing OS | Artificial Intelligence Marketing | 2024 | n/a | In 2024, Juniper Networks deployed AI Marketing OS, Apps Category "", to power personalized go to market and sales enablement workflows across Sales and Marketing in North America with subsequent global adoption. The deployment relied on Copy.ai capabilities to automate personalized outreach content and to operationalize account focused GTM messaging for field and inside sales teams. The implementation centralized personalized content generation, sequence scripting, and playbook orchestration using the AI Marketing OS to drive meeting generation and outbound effectiveness. Copy.ai materials attribute a roughly 5x increase in meetings to the platform's personalized GTM capabilities, and module usage such as Prospecting Cockpit and ABM is inferred to support targeted account level messaging and prospect prioritization. Operational coverage emphasized Sales and Marketing functions, with workflows embedded into existing GTM and sales enablement processes across North America and extended globally. Configuration work focused on templated personalization, campaign orchestration, and enablement content libraries that sales teams could apply to prospecting and account based engagement. Governance included standardized content review and sales enablement oversight to maintain messaging quality and to socialize AI generated assets into rep workflows. Ongoing monitoring was used to track meeting generation and outbound effectiveness as primary operational signals reported by Copy.ai materials. | |
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Lenovo China | Manufacturing | 41700 | $15.2B | China | Copy.ai | AI Marketing OS | Artificial Intelligence Marketing | 2024 | n/a | In 2024, Lenovo China implemented AI Marketing OS, Category . The Global Digital Experience team used Copy.ai to automate marketing content workflows and scale SEO, event, and social assets across its marketing organization, aligning the application with enterprise content operations and campaign production pipelines. The deployment emphasized Content Creation and Workflow Automation capabilities within AI Marketing OS, using template-based content generation, automated asset varianting, and workflow orchestration to standardize campaign copy, event materials, and social creative production. Configuration work focused on content templates, role-aware approval steps, and automation rules for SEO-aware copy iteration and scheduling, enabling repeatable content flows across campaigns. Operational control remained with the Global Digital Experience team, which governed content pipelines, approval workflows, and publishing cadence to marketing channels and events. Lenovo reported approximately $16M in annual savings in vendor communications tied to the Copy.ai powered AI Marketing OS deployment, reflecting material operational cost savings from scaled automation and reduced manual content production. | |
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Thermo Fisher Scientific | Life Sciences | 125000 | $42.9B | United States | Copy.ai | AI Marketing OS | Artificial Intelligence Marketing | 2024 | n/a | In 2024, Thermo Fisher Scientific implemented AI Marketing OS, Apps Category , to support marketing and content operations at regional and global scale. The company appears as an enterprise customer on Copy.ai's platform site, indicating deployment is oriented to enterprise marketing workflows across multiple business units. Module usage is inferred from Copy.ai published use cases, with primary emphasis on Content Creation and Translation & Localization capabilities within AI Marketing OS. These inferred functional areas suggest configuration for templated content generation, automated copy variants, and localization workflows to feed regional marketing channels, consistent with typical AI Marketing OS capabilities. Integration details and implementation partner information have not been publicly disclosed. Operational coverage is likely focused on global and regional marketing and content operations teams, with the AI Marketing OS positioned to support centralized content pipelines and localization orchestration across markets. Thermo Fisher Scientific AI Marketing OS configuration, governance model, and rollout cadence have not been detailed in public sources, and specific outcomes or performance metrics were not disclosed. Public evidence supports the relationship and inferred module usage, while governance, workflow restructuring, and integration architecture remain unspecified. |
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