Incrementality testing in Digital Marketing - Mini Project: Build & Apply

Incrementality Testing in Digital Marketing

📖 Scenario: You work as a digital marketer for an online store. Your manager wants to understand if a recent advertising campaign actually increased sales or if sales would have happened anyway. To find out, you will set up a simple incrementality test.

🎯 Goal: Build a step-by-step plan to conduct an incrementality test by creating groups, setting a baseline, measuring results, and concluding the campaign's impact.

📋 What You'll Learn

Create two groups: a control group and a test group

Set a baseline sales number for comparison

Calculate the difference in sales between test and control groups

Conclude if the campaign caused an increase in sales

💡 Why This Matters

🌍 Real World

Incrementality testing helps marketers understand if their campaigns truly drive extra sales or actions beyond what would have happened anyway.

💼 Career

Digital marketers, analysts, and campaign managers use incrementality testing to optimize advertising budgets and improve campaign effectiveness.

1

Create Customer Groups

Create two lists called control_group and test_group. Add these exact customer IDs to control_group: 101, 102, 103. Add these exact customer IDs to test_group: 201, 202, 203.

Digital Marketing

# Create control_group and test_group lists with specified customer IDs
# Your code here

Need a hint?

Use square brackets to create lists and separate customer IDs with commas.

2

Set Baseline Sales

Create a variable called baseline_sales and set it to the exact value 1500. This represents sales before the campaign.

Digital Marketing

control_group = [101, 102, 103]
test_group = [201, 202, 203]
# Set baseline_sales to 1500
# Your code here

Need a hint?

Use a simple assignment to create the baseline_sales variable.

3

Calculate Sales Difference

Create two variables: control_sales with value 1400 and test_sales with value 1800. Then create a variable called incremental_sales that calculates the difference between test_sales and control_sales.

Digital Marketing

control_group = [101, 102, 103]
test_group = [201, 202, 203]
baseline_sales = 1500
# Define control_sales and test_sales, then calculate incremental_sales
# Your code here

Need a hint?

Subtract control_sales from test_sales to find incremental_sales.

4

Conclude Campaign Impact

Create a variable called campaign_effect and set it to True if incremental_sales is greater than zero, otherwise False. Use an if-else statement.

Digital Marketing

control_group = [101, 102, 103]
test_group = [201, 202, 203]
baseline_sales = 1500
control_sales = 1400
test_sales = 1800
incremental_sales = test_sales - control_sales
# Set campaign_effect to True if incremental_sales > 0, else False
# Your code here

Need a hint?

Use a simple if-else to assign True or False based on incremental_sales.