Data Analytics For Direct Marketing Campaigns

Learn to Measure Direct Marketing Success with Statistical Methods in this Course

What you'll learn

Setting up direct marketing campaign for proper measurement

Understand A/B testing

Ensuring statistically significant outcome

Experiment set-up for direct marketing analytics

Requirements

No prerequisite needed. You will learn everything on the course.

Description

Are you eager to enhance your marketing skills and boost your campaign's effectiveness? Join this comprehensive Udemy course and discover how to measure the success of your direct marketing campaigns using proper measurement framework that guarantees statistical significance in your analysis of suceess.This course is a guide to measuring campaign effectiveness with principles of randomized control trials (including A/B test and experiment design). In this course, I'll guide you through the intricacies of conducting randomized control trials for your marketing campaigns. You'll gain valuable insights into the scientific methods that will help you assess the true impact of your marketing efforts. Whether you're a seasoned marketer looking to refine your strategies or a newcomer to the field, this course offers practical knowledge and hands-on techniques to elevate your marketing game.You will learn:1. how to answer negative comments like "Your campaign made no difference. We would have seen the same result without your effort".2. how to guarantee statistical significance in the measurement of campaign effectiveness.3. how to calculate the duration of an experiment (often required in the pilot phase of a campaign), and4. how to set-up a proper measurement framework in all of your direct marketing campaigns

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Direct marketing

Lecture 2 Fundamentals of direct marketing

Lecture 3 Areas of direct marketing

Section 3: Measurement of success (or failure)

Lecture 4 Overview of measurement in direct marketing

Lecture 5 A/B testing (or target-control testing / champion-challenger testing)

Lecture 6 Understanding A/B testing results

Lecture 7 Experiment design for measuring direct marketing campaigns

Lecture 8 Minimum sample size in measurement

Section 4: Graph reading crash course

Lecture 9 Understand patterns and trends in graphs (using real examples)

Marketing professionals in direct marketing space,Data analytics professionals moving into direct marketing space,Beginner data analytics professionals,Product owners,Product managers