Diaz-Bérrio Data Analytics for Marketing

A practical guide to analyzing marketing data using Python
1. Auflage 2024
ISBN: 978-1-80181-383-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 452 Seiten

No detailed description available for "Data Analytics for Marketing".

Autoren/Hrsg.

Diaz-Bérrio, Guilherme

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - What is Marketing Analytics?
- Extracting and Exploring Data with Singer and pandas
- Design Principles and Presenting Results with Streamlit
- Econometrics and Causal Inference with Statsmodels and PyMC
- Forecasting with Prophet, ARIMA, and Other Models Using StatsForecast
- Anomaly Detection with StatsForecast and PyMC
- Customer Insights – Segmentation and RFM
- Customer Lifetime Value with PyMC Marketing
- Customer Survey Analysis
- Conjoint Analysis with pandas and Statsmodels
- Multi-Touch Digital Attribution
- Media Mix Modeling with PyMC Marketing
- Running Experiments with PyMC

Über Autor(innen)

Diaz-Bérrio Guilherme:
Guilherme Diaz-Bérrio is the Head of Marketing Analytics at Kindred Group, one of the 10 largest gambling operators. He helps improve marketing efforts across various platforms. His career started in finance at a hedge fund and moved through the automotive industry at BMW Group and BMW Financial Services, before coming to Kindred Group. He graduated with a degree in economics from ISEG, University of Lisbon, and has additional training in data science and econometrics. He is also the co-founder of Pinemarsh, a data analytics and digital marketing consulting firm.