Segmentation and personalization in Digital Marketing - Mini Project: Build & Apply

Segmentation and Personalization in Digital Marketing

📖 Scenario: You are working for an online store that wants to improve its marketing by sending personalized emails to customers. To do this, you need to group customers based on their shopping habits and preferences.

🎯 Goal: Build a simple segmentation and personalization plan by creating customer groups, setting criteria for segmentation, applying the segmentation, and defining personalized messages for each group.

📋 What You'll Learn

Create a list of customers with their purchase categories

Define a segmentation criterion based on purchase categories

Group customers according to the criterion

Assign personalized messages to each customer group

💡 Why This Matters

🌍 Real World

Segmentation and personalization help businesses send relevant marketing messages, improving customer engagement and sales.

💼 Career

Marketing professionals use segmentation to target audiences effectively and personalize content to increase conversion rates.

1

Create the customer data list

Create a list called customers with these exact entries: {'name': 'Alice', 'category': 'Books'}, {'name': 'Bob', 'category': 'Electronics'}, {'name': 'Charlie', 'category': 'Books'}, {'name': 'Diana', 'category': 'Clothing'}, and {'name': 'Ethan', 'category': 'Electronics'}.

Digital Marketing

# Create the list of customers with their purchase categories
# Your code here

Need a hint?

Use a list of dictionaries where each dictionary has keys 'name' and 'category'.

2

Define the segmentation criterion

Create a variable called segment_categories that holds a list of the categories 'Books', 'Electronics', and 'Clothing' to use as segmentation criteria.

Digital Marketing

customers = [
    {'name': 'Alice', 'category': 'Books'},
    {'name': 'Bob', 'category': 'Electronics'},
    {'name': 'Charlie', 'category': 'Books'},
    {'name': 'Diana', 'category': 'Clothing'},
    {'name': 'Ethan', 'category': 'Electronics'}
]
# Define the segmentation categories list
# Your code here

Need a hint?

Use a list with the exact category names as strings.

3

Group customers by category

Create a dictionary called groups where each key is a category from segment_categories and the value is a list of customer names who belong to that category. Use a for loop with variables category and group to build this dictionary.

Digital Marketing

customers = [
    {'name': 'Alice', 'category': 'Books'},
    {'name': 'Bob', 'category': 'Electronics'},
    {'name': 'Charlie', 'category': 'Books'},
    {'name': 'Diana', 'category': 'Clothing'},
    {'name': 'Ethan', 'category': 'Electronics'}
]
segment_categories = ['Books', 'Electronics', 'Clothing']
# Create groups dictionary with customer names by category
# Your code here

Need a hint?

Initialize groups with empty lists for each category, then loop through customers to add names to the right list.

4

Assign personalized messages

Create a dictionary called personalized_messages where each key is a category from segment_categories and the value is a personalized message string: 'Books' gets 'Discover new books just for you!', 'Electronics' gets 'Latest gadgets available now!', and 'Clothing' gets 'Trendy styles for your wardrobe.'.

Digital Marketing

customers = [
    {'name': 'Alice', 'category': 'Books'},
    {'name': 'Bob', 'category': 'Electronics'},
    {'name': 'Charlie', 'category': 'Books'},
    {'name': 'Diana', 'category': 'Clothing'},
    {'name': 'Ethan', 'category': 'Electronics'}
]
segment_categories = ['Books', 'Electronics', 'Clothing']
groups = {category: [] for category in segment_categories}
for customer in customers:
    if customer['category'] in groups:
        groups[customer['category']].append(customer['name'])
# Create personalized_messages dictionary with messages for each category
# Your code here

Need a hint?

Use a dictionary with exact keys and message strings as values.