Identifying content decay in SEO Fundamentals - Mini Project: Build & Apply

Identifying Content Decay

📖 Scenario: You manage a website with many articles. Over time, some articles lose visitors because their information becomes outdated or less relevant. This is called content decay.To keep your website healthy, you want to find which articles have lost visitors recently so you can update them.

🎯 Goal: You will create a simple data structure to hold article visitor counts over two months. Then, you will identify articles that lost visitors from the first month to the second month. Finally, you will mark those articles as needing updates.

📋 What You'll Learn

Create a dictionary named articles with article titles as keys and their visitor counts for the first month as values.

Create a dictionary named new_visitors with the same article titles as keys and visitor counts for the second month as values.

Create a list named decayed_articles that contains titles of articles where visitors decreased from the first to the second month.

Create a dictionary named update_status that marks each article as true if it has content decay, otherwise false.

💡 Why This Matters

🌍 Real World

Website managers track visitor numbers to keep content fresh and relevant. Identifying content decay helps prioritize updates to maintain or improve search rankings and user engagement.

💼 Career

SEO specialists and content managers use these techniques to monitor website health and improve content strategy.

1

Set up initial article visitor data

Create a dictionary called articles with these exact entries: 'How to Bake Bread': 1200, 'Gardening Tips': 900, 'Travel Guide': 1500, 'Tech News': 2000 representing visitor counts for the first month.

SEO Fundamentals

# Create the dictionary articles with the given visitor counts
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with the exact article titles and visitor numbers.

2

Add visitor data for the second month

Create a dictionary called new_visitors with these exact entries: 'How to Bake Bread': 1100, 'Gardening Tips': 950, 'Travel Guide': 1400, 'Tech News': 2100 representing visitor counts for the second month.

SEO Fundamentals

articles = {
    'How to Bake Bread': 1200,
    'Gardening Tips': 900,
    'Travel Guide': 1500,
    'Tech News': 2000
}
# Create the dictionary new_visitors with the given visitor counts for the second month
# Your code here

Need a hint?

Use a dictionary similar to articles but with the new visitor numbers.

3

Identify articles with content decay

Create a list called decayed_articles that contains article titles where the visitor count in new_visitors is less than in articles. Use a for loop with variables title and old_count to iterate over articles.items().

SEO Fundamentals

articles = {
    'How to Bake Bread': 1200,
    'Gardening Tips': 900,
    'Travel Guide': 1500,
    'Tech News': 2000
}

new_visitors = {
    'How to Bake Bread': 1100,
    'Gardening Tips': 950,
    'Travel Guide': 1400,
    'Tech News': 2100
}

# Create the list decayed_articles with titles where new_visitors is less than articles
# Your code here

Need a hint?

Use a for loop to compare visitor counts and add titles to the list when the count decreased.

4

Mark articles needing updates

Create a dictionary called update_status where each article title from articles is a key. The value should be true if the title is in decayed_articles, otherwise false. Use a dictionary comprehension with title for title in articles.

SEO Fundamentals

articles = {
    'How to Bake Bread': 1200,
    'Gardening Tips': 900,
    'Travel Guide': 1500,
    'Tech News': 2000
}

new_visitors = {
    'How to Bake Bread': 1100,
    'Gardening Tips': 950,
    'Travel Guide': 1400,
    'Tech News': 2100
}

decayed_articles = []
for title, old_count in articles.items():
    if new_visitors[title] < old_count:
        decayed_articles.append(title)

# Create update_status dictionary marking true for decayed articles, false otherwise
# Your code here

Need a hint?

Use a dictionary comprehension to check if each title is in decayed_articles and assign true or false.