Easy Predict Your Sales Conversion With Python

Estimate your conversion marketing campaign via regression analysis without a master degree of machine learning

Photo by Cookie the Pom on Unsplash

Introduction

This project is exploring the real-life problem that any marketing analyst may face day-to-day — campaign optimisation. The questions probably are,

1. Which campaign drive more conversion?
2. Which campaign should I spend more?
3. Which campaign should I cut back on my budget?
4. How can I determine which campaign succeeds?

This project is to see if we measure how each campaign budget makes an impact on conversion.

In this case, the dependent variable is “conversion”, but you can use sales revenue(e-commerce store), numbers of views (for youtube) or numbers of engagement (Social Media), or even website traffic (no. of traffic). The independent variables will be campaigns A, B & C. Generally it can be anything from marketing costs by channels, campaign level, ad group level, or even ad placement.

In this project, I’ll use Python to handle, process, and model data. A few library packages will be used including Pandas, Matplotlib, and SKlearn.