Chapter 3 How to grow your customer base

These posts are a collection of notes and summaries from the book “How Brands Grow: What marketers don’t know” by professor Byron Sharp. This work is a must read for any marketer. My personal goal when I embarked on this series of posts was to get a deeper understanding of the book and its lessons, and … Read more

Chapter 2 – Growth, Penetration and the Double Jeopardy Law in Marketing

These posts are a collection of notes and summaries from the book “How Brands Grow: What marketers don’t know” by professor Byron Sharp. This work is a must read for any marketer. My personal goal when I embarked on this series of posts was to get a deeper understanding of the book and its lessons, … Read more

Chapter 1 – Marketing and Bloodletting – How Brands Grow

How Brands Grow: What Maketers don't Know - A marketing best seller book

These posts are a collection of notes and summaries from the book “How Brands Grow: What Marketers Don’t Know” by professor Byron Sharp. This work is a must read for any marketer. My personal goal when I embarked on this series of posts was to get a deeper understanding of the book and its lessons, … Read more

London, some updates

Compared to its Italian fratello, uomodellamansarda.com, this blog is a bit mistreated, probably because it’s less about me and more about data. Whoever follows the Italian blog is already updated, more or less on a monthly basis, on what’s going on in my life; nevertheless it is worth doing a recap here as well.  Before … Read more

Python Experience Updates and Forecast for 2021

When you are a self-taught Data Scientist is always hard to assess your progress. You must set some metrics and start monitoring them. In my case I decided to follow the 10.000 hours rule and track them with a Time Tracker. I used the Pomodoro Technique App. In the past week, I wanted to know … Read more

Disney Movies and Box Office Success – Datacamp Project Analysis [Why I think it is wrong] [Code and Notebook Included]

Some weeks ago I created a list of projects that I wanted to build. The goal of the list is to assess how my Data Science and Python knowledge changed during these years. In this list one of the projects key topic is the Linear Regression Model. For this topic I wanted something new from … Read more

Disney Revenue Breakdown ’91-’19 How Disney makes money – Python Code, Plots and Source Data Included [2min read]

Disney Revenues grew incredibly in the last 25 years, but more interestingly revenue streams changed significantly through time. 4 key points impressed me: They increased revenues by 20 billions every 10 years in the last 25 (roughly) How much Movies Revenue Stream decreased in % on the total revenues, from 40% in 1991 to less … Read more

Best Selling Disney Movies from 1935 until 2016 Python Business Analysis – With Code!

Everything started with this DataCamp small project on Linear Regression Analysis: “Disney Movies and Box Office Success“ It was based on a modified dataset from this repository on data.world. The dataset contains 4 csv files with the following information: Disney Movies Revenues Adjusted for Inflation with Movie Titles and Year Release Disney Revenues from movies, … Read more

Retention Rate, why is important and why is a convergent sequence

12/10/2022 Edit: After reading “How Brands Grow” I have now a more rounded position on Retention, but I didn’t want to delete this article. I explained in this post my new thoughts on the topic. Last month I was explaining to a client the importance of (Customer) Retention. In my opinion, after Profits and Gross … Read more