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Author: Jessica Langford

Jessica Langford is the team lead of the Data Science team in the Adobe Global Consulting organization. She has over 5 years of experience in Digital Marketing and over 10 years of statistical experience. Jessica works with clients to use statistical models, data mining techniques, and machine learning algorithms to solve complex digital marketing business questions. Her goal is to help Adobe’s clients understand, organize, and refine their data so they can extract and detect meaningful insights and patterns. Areas of application include optimization and personalization, marketing mix modeling, text mining and sentiment analysis, survey analysis, and regression. Jessica received a Master of Science of Statistics from Brigham Young University and is based out of Lehi, Utah.

Marketing Mix Model for All: Using R for MMM

June 1, 2017 Jessica Langford 4 Comments

Understanding the ROI across all of your paid marketing channels is a top priority for senior-level executives across every industry and every geographical market.  Getting a clear sense of the ROI on each channel allows companies to answer really important questions.  For example: What will happen if I increase my Email spend by 20%? What […]

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Recent Posts

  • Visualizing the Customer Journey with R and Adobe Analytics Data Feeds
  • Amp Up Your A/B Testing Using Raw Analytics Data, Apache Spark, and R
  • How to Setup a Data Lake and Start Making SQL Queries with Adobe Analytics, AWS S3, and Athena
  • Build Your Own Cross-Device Marketing Attribution with Apache Spark and R
  • Attribution Theory: The Two Best Models for Algorithmic Marketing Attribution – Implemented in Apache Spark and R

Recent Comments

  • Trevor Paulsen on Attribution Theory: The Two Best Models for Algorithmic Marketing Attribution – Implemented in Apache Spark and R
  • SHUCHI JAIN on Marketing Mix Model for All: Using R for MMM
  • Casual reader on Amp Up Your A/B Testing Using Raw Analytics Data, Apache Spark, and R
  • Nissanka Wickremasinghe on Attribution Theory: The Two Best Models for Algorithmic Marketing Attribution – Implemented in Apache Spark and R
  • Jared Stevens on Using Adobe Analytics Data Feeds and SQL for Basic Reporting

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