Eliya's Blog
Application of data science and machine learning on various marketing topics such as digital marketing, enterprise marketing, Marketing Mix Models (MMM), and more.
Marketing Mix Modeling
Marketing Mix Modeling (MMM) is a statistical method for understanding the impact of different marketing channels and other factors, such as seasonality and promotions, on sales.
Marketing Measurement
Marketing measurement is the process of tracking and analyzing the performance of marketing efforts to assess their effectiveness and impact on business goals.
Marketing Data
Marketing data refers to the collection and analysis of information related to customer behaviors, market trends, and campaign performance. It includes data from various sources such as website analytics, social media interactions, customer feedback, and sales performance.
Marketing Spend Optimization
Marketing spend optimization is the process of allocating and adjusting marketing budgets to maximize ROI and overall campaign effectiveness.
Media Mix Modeling
Media mix modeling (MMM) is a data-driven approach used to measure the impact of different marketing channels, like TV, digital, print, and radio, on business outcomes such as sales or conversions. It helps marketers allocate budgets more effectively by identifying which channels drive the most return on investment.
AI Marketing
AI Marketing refers to the use of artificial intelligence technologies, like machine learning, natural language processing, and data analytics, to automate, optimize, and personalize marketing tasks. It helps businesses understand customer behavior, deliver targeted content, improve campaign performance, and make data-driven decisions with minimal manual effort.
