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    Marketing Intelligence and Performance Optimization
    UBC Sauder School of Business

    Marketing Intelligence and Performance Optimization

    UBC Sauder School of Business, Vancouver
    HomeMarketing & SalesUBC Sauder School of BusinessMarketing Intelligence and Performance Optimization
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    About This Program

    Marketing intelligence (MI) combines marketing and customer analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations make better data-driven decisions. Using MI, organizations can optimize their marketing and customer performance by maintaining a competitive advantage and achieving organizational goals and objectives. This course focuses on continuous improvement opportunities to optimize marketing and customer initiatives.

    Why UBC Sauder School of Business?

    Anchored in Vancouver β€” one of the most internationally connected cities in North America β€” UBC Sauder sits at the intersection of Pacific Rim commerce, Indigenous business leadership, and sustainability-oriented management thinking. For senior professionals who need more than an Atlantic or European perspective on global business, Sauder offers something genuinely harder to find: rigorous Canadian academia with an Asia-Pacific orientation baked into the curriculum, not bolted on.

    Your Profile

    • Marketing professionals seeking to apply data-driven methods to campaign and customer performance decisions.
    • Business analysts and data practitioners working in marketing or customer analytics functions.
    • Digital marketing managers responsible for measuring and improving marketing ROI across channels.

    Benefits

    • Define marketing intelligence concepts and apply them to organizational decision-making.
    • Design and interpret A/B tests to measure the value of marketing experiments.
    • Distinguish between AI, machine learning, and deep learning as they apply to marketing analytics.
    • Build a data governance model to support responsible marketing analytics practices.

    What You'll Learn

    • Define marketing intelligence concepts, challenges, and considerations.
    • Describe experimentation and demonstrate the value of A/B Testing.
    • Optimize marketing activities to better achieve organizational objectives and competitive advantage.
    • Explain the role and differences between artificial intelligence, machine learning, and deep learning.
    • Understand the differences between predictive and prescriptive analytics and how these are used.
    • Describe governance practices and create a data governance model.

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

    2. 2

      Compare programs

      Use Gradia's comparison tool to evaluate up to 3 programs side-by-side on fees, duration, format, and accreditation.

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    3. 3

      Contact the school

      Send a message directly to UBC Sauder School of Business via Gradia to request a brochure or speak with an admissions advisor.

    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

    5. 5

      Submit your application

      Apply directly through UBC Sauder School of Business's official application portal.

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