A/B testing ad variations in Digital Marketing - Mini Project: Build & Apply

A/B Testing Ad Variations

📖 Scenario: You are a digital marketer working for an online store. You want to find out which advertisement version gets more clicks from customers. You have two ad variations, Ad A and Ad B, and you want to compare their performance.

🎯 Goal: Build a simple A/B testing plan by setting up ad data, defining a threshold for success, analyzing click results, and deciding which ad performs better.

📋 What You'll Learn

Create a dictionary called ads with two entries: 'Ad A': 120 and 'Ad B': 150 representing clicks.

Create a variable called success_threshold and set it to 130 clicks.

Create a list called successful_ads that includes ads with clicks greater than or equal to success_threshold.

Create a variable called best_ad that holds the ad with the highest clicks.

💡 Why This Matters

🌍 Real World

Marketers use A/B testing to compare different ad versions and choose the one that performs best to increase sales and engagement.

💼 Career

Understanding A/B testing basics helps digital marketers optimize campaigns and make data-driven decisions.

1

Set up ad click data

Create a dictionary called ads with these exact entries: 'Ad A': 120 and 'Ad B': 150 representing the number of clicks each ad received.

Digital Marketing

# Create the ads dictionary with click counts
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys as ad names and values as clicks.

2

Define success threshold

Create a variable called success_threshold and set it to 130 to represent the minimum clicks needed for an ad to be considered successful.

Digital Marketing

ads = {'Ad A': 120, 'Ad B': 150}
# Set the success threshold for clicks
# Your code here

Need a hint?

Just assign the number 130 to the variable success_threshold.

3

Find successful ads

Create a list called successful_ads that includes the names of ads from ads with clicks greater than or equal to success_threshold. Use a list comprehension with for ad, clicks in ads.items().

Digital Marketing

ads = {'Ad A': 120, 'Ad B': 150}
success_threshold = 130
# Create list of ads meeting or exceeding the threshold
# Your code here

Need a hint?

Use a list comprehension to filter ads by comparing clicks to success_threshold.

4

Identify the best performing ad

Create a variable called best_ad that holds the name of the ad with the highest number of clicks from the ads dictionary. Use the max() function with key=ads.get.

Digital Marketing

ads = {'Ad A': 120, 'Ad B': 150}
success_threshold = 130
successful_ads = [ad for ad, clicks in ads.items() if clicks >= success_threshold]
# Find the ad with the highest clicks
# Your code here

Need a hint?

Use max() on the dictionary keys with key=ads.get to find the ad with the most clicks.