What is Sales and Marketing Strategy of SAS Company?

What is the Sales and Marketing Strategy of SAS?

SAS's sales and marketing strategy is key to its leadership in analytics and AI. A major shift involved a strong push into cloud-native analytics with SAS Viya, a move that significantly boosted its market position.

This strategic pivot in 2024 aimed to leverage market opportunities, resulting in a notable 24% increase in SAS Viya sales, with Viya 4 sales alone growing by 56%.

SAS's evolution from an academic project to a global analytics powerhouse showcases a strategic adaptation. Initially serving university agricultural departments, the company now provides comprehensive cloud-enabled AI and analytics solutions to most Fortune 500 companies. In 2024, SAS continued to achieve over $3 billion in annual sales, with regional contributions of 52% from the Americas, 35% from EMEA, and 13% from Asia Pacific. This transformation highlights a successful transition from niche, on-premises software to a broad, cloud-based AI and analytics leader, exemplified by offerings like the SAS BCG Matrix.

SAS primarily employs a direct sales model, focusing on building strategic, long-term relationships with enterprise clients. This approach is augmented by a growing network of partnerships and a significant push towards cloud-based offerings to drive SAS software sales.

Direct Sales Engagement

SAS's direct sales teams are instrumental in engaging large enterprise clients across key sectors like finance, healthcare, and retail. This direct interaction ensures that SAS solutions are tailored to address specific, complex business challenges, a core element of their SAS business strategy.

Cloud-Native Solutions and Omnichannel Integration

The company has strategically shifted its solution ecosystem to be cloud-native, with all offerings now available on the Viya platform. This evolution is reflected in the 16% growth in SAS Managed Cloud Services sales in 2024, demonstrating consistent double-digit cloud growth for five consecutive years.

Strategic Partnerships for Market Expansion

Partnerships are increasingly vital for SAS's global sales efforts and market penetration. These collaborations help SAS reach regions where a substantial in-country presence may not be feasible and integrate SAS capabilities into broader solution ecosystems, supporting SAS customer acquisition.

Academic and Industry Alliances

In 2024, SAS forged over 55 new partnerships with college and university programs globally. These alliances are crucial for talent development and industry credentialing, indirectly supporting the SAS sales strategy by building a future workforce familiar with SAS analytics software sales.

Cloud Agnosticism and Ecosystem Integration

SAS Viya is actively being developed for compatibility with various cloud service providers (CSPs). This includes deployments with Microsoft Azure and, in 2024, with Amazon Web Services (AWS) through a collaboration with Deloitte, with Google Cloud Platform (GCP) anticipated in the near future, likely in 2025. This strategy enhances SAS's go-to-market strategy for cloud solutions.

• SAS Managed Cloud Services sales grew by 16% in 2024.
• This marks the fifth consecutive year of double-digit cloud growth for SAS.
• SAS Viya is progressing towards being fully CSP agnostic.
• Partnerships with Experian embed SAS solutions within advanced analytics environments.
• Over 55 new academic partnerships were established in 2024.

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SAS employs a comprehensive marketing strategy that blends digital and traditional approaches to engage its B2B audience in the analytics and AI sectors. The company prioritizes digital tactics to build brand awareness, generate leads, and ultimately drive software sales.

Digital Marketing Focus

SAS heavily relies on digital channels, including content marketing, search engine optimization (SEO), paid advertising, email marketing, and social media. These digital efforts are crucial for reaching businesses actively seeking analytics and AI solutions.

SEO and Content Marketing

SEO is a cornerstone for increasing online visibility and attracting qualified leads. Content marketing provides valuable insights and establishes thought leadership, supporting lead generation efforts.

Paid Media Strategy

Targeted paid media campaigns on platforms like Google Ads and LinkedIn Ads are used to drive high-intent traffic to SAS's website and specific landing pages.

Data-Driven Personalization

SAS leverages data analytics to segment its customer base and personalize marketing communications. This data-driven approach helps in extending customer data activation and optimizing customer journeys.

AI and Cloud-Native Solutions

The marketing strategy has evolved to emphasize cloud-native AI solutions. SAS introduced new generative AI capabilities for SAS Viya and a developer environment in April 2024, showcasing innovation.

Strategic Acquisitions

The acquisition of Hazy in November 2024 to integrate synthetic data capabilities into SAS Data Maker underscores the company's commitment to AI-driven advancements in marketing and product development.

SAS actively uses events like SAS Innovate 2024 to connect with business leaders and analytics professionals, providing a platform to showcase its latest solutions and discuss industry trends. This approach is integral to their SAS business strategy and understanding the Target Market of SAS. The company's marketing mix is designed to highlight its powerful analytics and AI capabilities, aiming to deliver out-of-the-box insights for marketing organizations and drive SAS revenue growth.

Key Marketing Tactics

SAS's marketing tactics are designed to drive SAS customer acquisition and support SAS software sales through a multi-faceted approach.

• Content marketing and SEO for organic lead generation.
• Paid advertising on platforms like Google and LinkedIn for targeted reach.
• Data-driven personalization to enhance customer engagement.
• Showcasing AI and cloud-native solutions to highlight innovation.
• Leveraging industry events for networking and product demonstrations.
• Strategic acquisitions to bolster AI capabilities.

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SAS positions itself as a premier, dependable provider of analytics and AI software, distinguishing itself through its profound statistical background, dedication to innovation, and a focus on delivering practical, trustworthy AI solutions.

Core Brand Message: 'The Power to Know'

SAS emphasizes its ability to empower organizations by managing, analyzing, and visualizing data to uncover insights and facilitate informed decision-making.

Commitment to Innovation and R&D

The company consistently invests a significant portion of its revenue into research and development, historically exceeding industry averages for software companies.

Target Audience Appeal

SAS appeals to large enterprises and government agencies with its robust, scalable, and secure analytical capabilities, recognized globally for innovation.

Analyst Validation in 2024

SAS was consistently recognized as a leader in AI, machine learning, customer intelligence, risk, fraud, and security intelligence by major analysts.

SAS maintains brand consistency across all platforms, including its website, online communities, and global events, adapting its offerings to market shifts, particularly in cloud and AI. A strategic investment of an additional $1 billion into AI applications for banking, healthcare, and insurance, announced in May 2023, highlights its dedication to leading technological advancements and meeting evolving client needs. This focus on continuous evolution is a key aspect of the Growth Strategy of SAS.

Industry Leadership

SAS is the only vendor named a leader in four key AI analyst evaluations, including IDC MarketScape, The Forrester Wave, and Gartner Magic Quadrant for Data Science and Machine Learning.

Pragmatic AI Solutions

The company differentiates itself by offering trustworthy and practical AI solutions, leveraging its deep statistical heritage.

Scalability and Security

SAS provides robust, scalable, and secure analytical capabilities, a key selling proposition for its enterprise and government clients.

Adaptability to Market Trends

SAS actively responds to market dynamics by evolving its offerings, especially in the cloud and AI sectors, to meet changing customer demands.

Strategic AI Investment

The company's commitment to AI is demonstrated by a $1 billion investment over three years in AI applications for key industries.

Global Recognition

SAS is recognized internationally for its innovative technology and its contributions to social innovation projects.

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Key campaigns are central to the company's SAS sales strategy and SAS marketing strategy, driving significant revenue growth and brand evolution. These initiatives focus on showcasing the power of their analytics and AI solutions to a broad audience.

SAS Viya Cloud-Native Analytics Platform Campaign

This campaign centers on modernizing organizations with a fast, productive, and cost-effective data and AI platform in the cloud. It emphasizes speed, productivity, and cost reduction to accelerate the data and AI lifecycle.

AI Capabilities Investment and Launch

A strategic focus on AI, including a $1 billion investment over three years, aims to embed AI into existing offerings and launch new platforms. This includes SAS Viya Workbench and SAS Data Maker, enhancing AI model development and synthetic data generation.

The SAS Viya campaign has been instrumental in the company's recent brand evolution and growth, highlighting its commitment to cloud-native analytics. This initiative targets organizations looking to modernize their data and AI infrastructure, promising enhanced speed, productivity, and cost-effectiveness. The campaign leverages a multi-channel approach, including prominent presence at industry conferences like SAS Innovate, robust digital marketing efforts, strategic analyst relations, and the dissemination of valuable thought leadership content. The impact is evident in the 24% growth in SAS Viya sales in 2024, with Viya 4 sales alone surging by 56%. A significant endorsement came in 2024 when His Majesty's Revenue & Customs (HMRC) in the UK adopted SAS Viya with SAS Managed Cloud Services for its native fraud management solution. Further substantiating the platform's value, a 2024 Futurum Group study revealed that teams utilizing Viya are over 4x more productive than those using alternative tools, and a 2023 study indicated Viya is 30x faster than competing commercial and non-commercial alternatives, underscoring its efficiency and cost-saving benefits. This campaign is a cornerstone of the SAS sales strategy and SAS marketing strategy, directly contributing to SAS revenue growth.

SAS Viya: Driving Productivity

Teams using SAS Viya demonstrate significantly higher productivity, with studies showing them to be over 4x more productive than users of other analytics tools.

Viya's Speed Advantage

SAS Viya offers a substantial speed advantage, being up to 30x faster than commercial and non-commercial alternatives, accelerating data and AI processes.

AI Investment for Industry Solutions

The company's commitment to AI is underscored by a $1 billion investment over three years, targeting advancements in banking, healthcare, and insurance sectors.

New AI Development Tools

The launch of SAS Viya Workbench and SAS Data Maker in 2024 provides dedicated environments for AI model building and synthetic data generation, respectively.

Synthetic Data Capabilities Boost

The acquisition of Hazy in November 2024 significantly enhanced SAS's synthetic data capabilities, aligning with its pragmatic AI solutions strategy.

Industry Recognition in AI

These AI-focused initiatives have led to the company being recognized as a leader in multiple AI analyst evaluations throughout 2024.

Key Campaign Objectives and Outcomes

The company's SAS business strategy is heavily influenced by its key marketing campaigns, which are designed to drive SAS customer acquisition and SAS revenue growth. These campaigns effectively communicate the value proposition of their advanced analytics and AI solutions to enterprise clients, contributing to their strong position in the Competitors Landscape of SAS.

• Modernizing organizations through cloud-native analytics.
• Enhancing productivity and reducing costs for data and AI initiatives.
• Accelerating the data and AI lifecycle for faster outcomes.
• Embedding advanced AI capabilities into industry-specific solutions.
• Expanding synthetic data generation and model building tools.

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