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What is SAS Marketing Optimization?

As marketing teams face increasing demands to accomplish more with fewer resources, it becomes challenging to convey their message effectively amid the overwhelming noise of marketing communications to engage a focused audience. While strategies like segmentation, predictive modeling, and thorough testing can boost the effectiveness of customer interactions, they do not capture the full spectrum of daily obstacles that marketers encounter. Marketers must balance conflicting goals from various departments, oversee numerous marketing campaigns, and navigate limitations such as channel capacities, budget management, and compliance with customer outreach regulations. Furthermore, internal conflicts can complicate the situation even more. In a multiproduct organization with multiple campaigns targeting a large customer base, identifying the right campaigns for each individual customer is crucial. An intuitive user interface allows marketers to easily perform what-if analyses, enabling them to determine the best offers for specific customers while also understanding how changes in business constraints could impact outcomes. This functionality not only improves decision-making processes but also significantly streamlines the entire marketing workflow, fostering more efficient collaboration among team members. Ultimately, this approach can lead to more effective marketing strategies that resonate with the intended audience.

What is MixModeler?

A new modeling platform has been developed to help marketing teams, analysts, and agencies analyze the true incremental impacts of their marketing investments across diverse channels. Unlike traditional attribution tools that rely on cookies and concentrate mainly on digital interactions, MixModeler empowers companies to evaluate the effectiveness of offline advertising strategies, including TV, radio, and outdoor campaigns, alongside their digital marketing efforts. This platform combines cutting-edge statistical methods, such as Bayesian inference and regression analysis, with an intuitive interface, allowing users without a data science background to conduct advanced marketing assessments. Users can choose to build their own custom models manually or utilize AI-driven automation, enabling them to quickly pinpoint which marketing activities are producing real business results. Additionally, MixModeler offers a variety of pricing tiers, ranging from free options designed for smaller teams to comprehensive packages suitable for larger enterprises, making high-quality marketing mix modeling accessible to organizations of all sizes. As a result, businesses can significantly improve their strategic decision-making processes and maximize the effectiveness of their marketing strategies. This adaptability ensures that companies can stay ahead in the rapidly evolving marketing landscape.

Media

Media

No images available

Integrations Supported

Acquigo

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/content/dam/SAS/en_us/doc/factsheet/sas-marketing-optimization-101287.pdf

Company Facts

Organization Name

MixModeler

Date Founded

2025

Company Location

United Kingdom

Company Website

mixmodeler.com

Categories and Features

Marketing Analytics

Campaign Management
Predictive Analytics

Categories and Features

Marketing Analytics

Not specified

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