List of SAS Customer Intelligence Customers
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Since 2010, our global team of researchers has been studying SAS Customer Intelligence 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 SAS Customer Intelligence for Customer 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 SAS Customer Intelligence for Customer Analytics include: MetLife, a United States based Insurance organisation with 45000 employees and revenues of $66.91 billion, Rogers Communications, a Canada based Communications organisation with 24000 employees and revenues of $20.60 billion, Banco Bradesco, a Brazil based Banking and Financial Services organisation with 81657 employees and revenues of $19.19 billion, dm-drogerie markt, a Germany based Retail organisation with 79745 employees and revenues of $14.79 billion, Commerzbank, a Germany based Banking and Financial Services organisation with 37728 employees and revenues of $14.01 billion and many others.
Contact us if you need a completed and verified list of companies using SAS Customer Intelligence, 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 CRM software purchases.
The SAS Customer Intelligence 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 CRM 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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1-800-Flowers.com | Retail | 4000 | $1.8B | United States | SAS Institute | SAS Customer Intelligence | Customer Analytics | 2019 | n/a |
In 2019, 1-800-Flowers.com implemented SAS Customer Intelligence to centralize customer insight and orchestration across its gifting portfolio. SAS Customer Intelligence is deployed as part of the company’s Customer Analytics capability and is positioned to support marketing-led customer engagement and retention activities across brands such as Harry & David and Cheryl’s Cookies.
The implementation emphasizes analytics driven modules, including customer segmentation, campaign management, and predictive analytics powered by the SAS Platform and AI capabilities. SAS Customer Intelligence is used to manage and analyze shopping data, detect emerging buying patterns, and apply consistent analytics methodologies across newly acquired brands to inform creative and targeting strategies.
Operationally the deployment is scoped across the company’s portfolio of gifting brands, integrating shopping and interaction data from web and mobile channels and informing conversational commerce initiatives including chatbots. The approach standardizes data and analytics across brands, enabling shared models and segmentation logic to be reused as brands are added to the business.
Governance and process changes focus on establishing a data driven culture and centralized analytics practices across marketing and merchandising teams, with SAS Customer Intelligence supporting campaign orchestration and customer lifecycle workflows. The project is explicitly linked to improved customer retention and loyalty through more targeted and timely marketing campaigns.
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Ansira | Professional Services | 1700 | $200M | United States | SAS Institute | SAS Customer Intelligence | Customer Analytics | 2019 | n/a |
In 2019 Ansira implemented SAS Customer Intelligence to establish a Customer Analytics capability for CRM driven campaign management and client program execution. The deployment of SAS Customer Intelligence supported Ansira's work designing and implementing CRM solutions and campaign management applications across its professional services engagements.
The implementation focused on campaign orchestration and ad hoc reporting, supplemented by extensive data discovery and profiling work. SAS Customer Intelligence was configured to support data mart design and build, scalable campaign templates, multi-wave campaign sequencing and journey orchestration, and reporting workflows aligned to CRM and marketing operations.
Integrations were built to tighten email channel execution, including direct links to Exact Target and Alterian Email Manager to deploy email campaigns and retrieve response data back into the data mart. The environment also operated alongside campaign platforms used by the organization such as Adobe Campaign ACS ACC and Alterian AMS IMS, with ETL and response ingestion processes feeding unified customer views for downstream analytics.
Operational governance and ongoing support were organized under Ansira's CRM Technical Services and the Campaign Analysts teams, who designed, built, executed and maintained multi-channel and multi-wave campaigns and journeys. The implementation covered programmatic campaign lifecycle management for client accounts including Mitsubishi of North America, Panera Bread, Benihana, Dave and Busters, Purina, Aruba Department of Tourism, Zipcar, La-Z-Boy, Rent-A-Center, Experian Consumer Services, 7-Eleven, Shoe Carnival, Bridgestone and Nebraska Furniture Mart, with governance focused on campaign execution standards, data mart availability and response data reconciliation.
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Banco Bradesco | Banking and Financial Services | 81657 | $19.2B | Brazil | SAS Institute | SAS Customer Intelligence | Customer Analytics | 2016 | n/a |
In 2016, Banco Bradesco implemented SAS Customer Intelligence to establish a Customer Analytics capability for its marketing and campaign operations. The deployment addressed segmentation and scoring, campaign orchestration, and analytics reporting using SAS Customer Intelligence as the central application for customer insight and campaign decisioning.
The implementation integrated with the bank's SAS and Teradata BI tools for reporting and data warehousing, and relied on extensive SQL and Excel for data preparation and analyst workflows. ETL pipelines were built to ingest customer profiles, event streams, and campaign response data into SAS Customer Intelligence, enabling activation of multi channel campaigns from analytics outputs.
Operational coverage focused on marketing, CRM analytics, and campaign operations, with governance centered on ETL pipeline orchestration, data quality controls, and change control for campaign rules and segmentation models. The SAS Customer Intelligence implementation anchored a data to action flow that linked analytical models to campaign execution through coordinated ETL, BI reporting, and analyst-driven Excel workflows.
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Chubb USA | Insurance | 31000 | $13.0B | United States | SAS Institute | SAS Customer Intelligence | Customer Analytics | 2011 | n/a |
In 2011, Chubb USA implemented SAS Customer Intelligence to establish a Customer Analytics capability supporting marketing and agent enablement. The deployment targeted insurance marketing functions that coordinate with independent insurance agents, addressing the complexity of combining demographic information with historical underwriting and claims data to inform product promotion and cross sell decisions.
The implementation focused on data integration and analytical workflows, using SAS Customer Intelligence for customer segmentation, predictive analytics to identify next logical purchase behavior, and campaign orchestration and reporting for marketers. Configuration emphasized reusable segmentation rules, score generation for propensity models, and centralized dashboards to make analytical outputs consumable for nontechnical users.
Integrations consolidated internal policy, underwriting, and claims data with external demographic data sources, creating a unified data layer to feed SAS Customer Intelligence. Operational coverage centered on the Market Planning and Performance organization and marketing teams, with outputs distributed to channel partners and independent agents to guide acquisition and product suggestion strategies.
Governance established metrics oriented processes and a culture of analytic driven decision making, positioning market data as a shared asset across marketing and agent support functions. Outcomes reported by Chubb include the discovery of new customer segments and the ability to make marketing decisions with greater confidence, reflecting an institutional shift toward analytics led marketing practice.
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Commerzbank | Banking and Financial Services | 37728 | $14.0B | Germany | SAS Institute | SAS Customer Intelligence | Customer Analytics | 2011 | n/a |
Commerzbank implemented SAS Customer Intelligence in 2011 to establish an enterprise Customer Analytics capability supporting marketing and customer relationship management. The deployment of SAS Customer Intelligence was positioned to centralize analytic segmentation, campaign measurement, and customer profiling across the bank's marketing workflows.
The SAS Customer Intelligence implementation was configured around standard Customer Analytics functional areas, including audience segmentation, predictive model scoring, campaign orchestration and response measurement, and operational reporting and dashboards for marketing operations. Data management and customer profile consolidation were core configuration tasks to enable unified analytical views and automated campaign decisioning.
Historically, Commerzbank had deployed CRM solutions such as GoldMine and Siebel and later rolled out third party BlackBerry wireless solutions to deliver Reuters 3000, Bloomberg and FT content to more than 500 users across London and Frankfurt. Within the SAS Customer Intelligence program the platform was positioned to consume CRM and transactional data feeds, supporting cross-channel campaign execution and analytic enrichment while preserving the bank's existing CRM footprints.
Governance emphasis for the rollout centered on marketing operations controls, data quality and customer data governance, and staged campaign approval workflows to operationalize analytic outputs. Implementation narratives indicate configuration-led delivery focused on reproducible campaign orchestration, model management, and reporting rather than point additions to front-line desktop tools.
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Banking and Financial Services | 55290 | $10.6B | Canada | SAS Institute | SAS Customer Intelligence | Customer Analytics | 2021 | n/a |
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Retail | 79745 | $14.8B | Germany | SAS Institute | SAS Customer Intelligence | Customer Analytics | 2018 | n/a |
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Leisure and Hospitality | 11161 | $2.3B | United Kingdom | SAS Institute | SAS Customer Intelligence | Customer Analytics | 2011 | n/a |
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Insurance | 45000 | $66.9B | United States | SAS Institute | SAS Customer Intelligence | Customer Analytics | 2019 | n/a |
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Communications | 24000 | $20.6B | Canada | SAS Institute | SAS Customer Intelligence | Customer Analytics | 2019 | n/a |
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Buyer Intent: Companies Evaluating SAS Customer Intelligence
- Cusmano Agency, a United States based Insurance organization with 10 Employees
- St. David's School, a United States based Education company with 104 Employees
- ORIX, a Japan based Banking and Financial Services organization with 33982 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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