List of Adobe Sensei Customers
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Since 2010, our global team of researchers has been studying Adobe Sensei 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 Adobe Sensei 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 Adobe Sensei for Artificial Intelligence Marketing include: Rite Aid, a United States based Retail organisation with 31000 employees and revenues of $23.00 billion, Sky Group, a Comcast Company, a United Kingdom based Media organisation with 34335 employees and revenues of $18.25 billion, Sky, a United Kingdom based Media organisation with 32000 employees and revenues of $18.13 billion, Swisscom, a Switzerland based Communications organisation with 19887 employees and revenues of $13.74 billion, DICK’S Sporting Goods, a United States based Retail organisation with 50000 employees and revenues of $13.00 billion and many others.
Contact us if you need a completed and verified list of companies using Adobe Sensei, 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 Artificial Intelligence software purchases.
The Adobe Sensei 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 Artificial Intelligence 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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DICK’S Sporting Goods | Retail | 50000 | $13.0B | United States | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2021 | n/a |
In 2021, Dicks Merchandising & Supply Chain implemented Adobe Sensei as a Unified AI and ML Platform to centralize real-time personalization and decisioning across its omnichannel footprint. The implementation supports DICK'S Sporting Goods, which reaches more than 150 million athletes through 850 stores and digital channels, with the explicit goal of delivering personalized recommendations both online and in-store.
Adobe Sensei was deployed as the AI layer across the Adobe stack to power recommendations, real-time decisioning, and predictive personalization workflows. The deployment leverages Adobe Sensei alongside Adobe Target for experience optimization, Adobe Campaign for orchestration, Adobe Experience Manager for content delivery, and Adobe Creative Cloud to ensure creative variants map to algorithmic treatment, reflecting a Unified AI and ML Platform approach to customer-facing personalization.
Integration architecture centers on Adobe Real-Time Customer Data Platform as the persistent data layer, with Adobe Customer Journey Analytics and Adobe Analytics providing cross-channel measurement and insight. Adobe Audience Manager is used to build segments that feed Sensei models, while activation flows push personalized experiences to web, mobile app, email, and in-store touchpoints, all governed by customer consent settings and data governance policies. Operational coverage spans eCommerce, analytics, marketing, and store experience teams, with the in-store app and measurement technologies informing model inputs.
Governance and workflow changes included centralizing profile enrichment and campaign orchestration to reduce latency between signal capture and activation, and using Adobe Workfront to coordinate creative and campaign delivery. The faster decisioning enabled by Adobe Sensei reduced response time from hours or a day to seconds for triggering targeted offers and recommendations, and this real-time activation supports the company objective to enhance athlete experiences and help increase the companys sales.
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Epson | Manufacturing | 1500 | $500M | United States | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2017 | x |
In 2017, Epson implemented Adobe Sensei as a Unified AI and ML Platform to power superior experiences for customers across Epson America. The deployment positioned Adobe Sensei as a centralized AI service layer to embed machine learning into customer-facing digital channels and product imaging workflows, with a clear focus on digital content enrichment and online product discovery.
Adobe Sensei was configured to deliver content intelligence, automated asset tagging, personalization engines, image recognition for product imagery, and predictive analytics aligned to Unified AI and ML Platform capabilities. Integration patterns described include API-driven inference calls from web and mobile applications and batch asset enrichment pipelines, while governance emphasized model version control, standardized metadata taxonomies, and staged rollouts managed by Epson America digital experience and marketing teams to operationalize automated personalization and image-based content optimization.
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Georgia-Pacific | Manufacturing | 30000 | $7.5B | United States | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2017 | x |
In 2017, Georgia-Pacific implemented Adobe Sensei to augment its creative technology stack. Adobe Sensei was embedded alongside Adobe Creative Cloud and Adobe Stock to support GP PROs in-house creative marketing team and to centralize AI services for asset intelligence and creative automation. The deployment is categorized as Unified AI and ML Platform and was designed to surface machine assisted capabilities directly within authoring and asset ingestion flows. Architecture focused on service level integration between Adobe Sensei inference services and Creative Cloud authoring pipelines, plus Stock asset metadata ingestion.
Configured capabilities emphasized automated metadata enrichment, AI driven asset tagging and search, content aware recommendations and creative assistance features consistent with Adobe Sensei. Operational scope was concentrated on marketing and brand management functions within GP PRO, with integration points into digital asset workflows to improve asset discovery and reuse in campaign production. Governance workstreams established metadata standards, tagging taxonomies and approval checkpoints to operationalize machine generated metadata within creative production. The narrative centers on Adobe Sensei, Unified AI and ML Platform, Georgia-Pacific and its creative marketing function.
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redtag.ca | Professional Services | 1400 | $200M | Canada | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2017 | x |
In 2017, redtag.ca implemented Adobe Sensei as part of an Adobe Experience Cloud deployment to bring machine learning into its customer experience stack, using Artificial Intelligence Marketing capabilities to create smarter, more targeted experiences that help drive conversion and encourage brand engagement. The implementation centers on Adobe Sensei as the AI inference layer embedded in Experience Cloud workflows, aligning the application with marketing and commerce business functions at redtag.ca.
The deployment focused on category-aligned capabilities including automated audience segmentation, predictive scoring, real-time personalization, and content optimization. Adobe Sensei was configured to surface recommendations and predictive insights into campaign decisioning and site experience orchestration, pairing model-driven personalization with existing digital experience modules in the Experience Cloud.
Architecturally the solution is implemented as a cloud hosted SaaS stack with Adobe Sensei providing machine learning models and inference integrated into front-end personalization and backend marketing workflows. Operational coverage emphasized digital marketing and e-commerce touchpoints, with AI outputs feeding targeting, promotional treatments, and experience variants across the online storefront and campaign execution flows.
Governance was organized through centralized marketing operations, with model validation, audience governance, and staged experimentation used to control rollout and measure behavioral lift. The implementation narrative ties redtag.ca, Adobe Sensei, Artificial Intelligence Marketing, and Adobe Experience Cloud directly to ongoing efforts to improve targeting, conversion, and brand engagement.
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Rite Aid | Retail | 31000 | $23.0B | United States | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2018 | n/a |
In 2018, Rite Aid deployed Adobe Sensei as part of a broader Adobe Experience Cloud rollout, embedding machine learning capabilities into the retailer's customer engagement stack. Adobe Sensei is positioned within the Artificial Intelligence Marketing context to drive automated segmentation and content activation across channels.
Rite Aid implemented a full stack of Adobe Experience Cloud solutions including analytics, personalization, web content management, advertising and e-commerce tools, with Adobe Analytics providing the behavioral data foundation. Adobe Sensei is used to build rich customer segments, score propensity signals, and trigger personalized content such as medication reminders and customized promotional offers based on individual preferences and shopping journey stage.
The deployment was designed to stitch together Riteaid.com, the mobile app, retail stores, in-store pharmacy services and fulfillment services so real time data can be collected and analyzed across desktop web, mobile and in-store touchpoints. Integrations emphasize customer profile unification, cross channel event streaming into Adobe Analytics, and content delivery orchestration so personalization decisions made by Adobe Sensei can be executed at point of interaction.
Governance centered on centralized segmentation and content activation workflows, with operational ownership spanning merchandising, digital marketing, pharmacy services and fulfillment operations. The implementation explicitly aims to break down friction between online and in-store experience and to provide pharmacists with deeper customer insights to support clinical services and value based care, while scaling personalized experiences to millions of customers.
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Media | 32000 | $18.1B | United Kingdom | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2017 | n/a |
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Media | 34335 | $18.3B | United Kingdom | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2016 | n/a |
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Communications | 19887 | $13.7B | Switzerland | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2017 | x |
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Retail | 6500 | $5.2B | United States | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2020 | n/a |
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Buyer Intent: Companies Evaluating Adobe Sensei
- Indian Institute Of Management–Bangalore, a India based Education organization with 5000 Employees
- Op2mise.ai, a United Kingdom based Professional Services company with 25 Employees
- De Key, a Netherlands based Construction and Real Estate organization with 200 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
| Indian Institute Of Management–Bangalore | Education | 5000 | $600M | India | 2025-05-25 | |
| Op2mise.ai | Professional Services | 25 | $2M | United Kingdom | 2024-10-22 | |
| De Key | Construction and Real Estate | 200 | $22M | Netherlands | 2024-06-01 |