Data-driven budget allocation in Digital Marketing - Mini Project: Build & Apply

Data-driven budget allocation

📖 Scenario: You are managing a digital marketing campaign for a small business. You have data on the performance of different marketing channels and want to allocate the monthly budget based on this data to maximize returns.

🎯 Goal: Build a simple data-driven budget allocation plan that uses channel performance data to decide how much budget each channel should get.

📋 What You'll Learn

Create a dictionary with marketing channels and their current monthly spend

Add a variable for total monthly budget available

Calculate the allocation percentage for each channel based on performance scores

Adjust the budget allocation for each channel accordingly

💡 Why This Matters

🌍 Real World

Marketing managers use data-driven budget allocation to spend money efficiently on channels that perform better.

💼 Career

Understanding how to allocate budgets based on performance data is a key skill for digital marketing analysts and campaign managers.

1

Create the initial marketing spend data

Create a dictionary called channel_spend with these exact entries: 'Social Media': 1200, 'Email': 800, 'Search Ads': 1500, 'Affiliate': 500

Digital Marketing

# Create the channel_spend dictionary with exact values
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with the given channel names as keys and their spend as values.

2

Add total monthly budget variable

Create a variable called total_budget and set it to 5000 to represent the total monthly marketing budget available.

Digital Marketing

channel_spend = {
    'Social Media': 1200,
    'Email': 800,
    'Search Ads': 1500,
    'Affiliate': 500
}
# Create total_budget variable and set it to 5000
# Your code here

Need a hint?

Just assign the number 5000 to the variable total_budget.

3

Calculate allocation percentages based on performance

Create a dictionary called performance_scores with these exact entries: 'Social Media': 0.8, 'Email': 0.6, 'Search Ads': 0.9, 'Affiliate': 0.4. Then create a dictionary called allocation_percentages where each channel's percentage is its performance score divided by the sum of all scores.

Digital Marketing

channel_spend = {
    'Social Media': 1200,
    'Email': 800,
    'Search Ads': 1500,
    'Affiliate': 500
}
total_budget = 5000
# Create performance_scores dictionary with exact values
# Calculate allocation_percentages dictionary based on performance_scores
# Your code here

Need a hint?

Use a dictionary comprehension to divide each performance score by the total sum of scores.

4

Calculate final budget allocation per channel

Create a dictionary called final_allocation where each channel's budget is its allocation percentage multiplied by total_budget. Use a dictionary comprehension with allocation_percentages.items().

Digital Marketing

channel_spend = {
    'Social Media': 1200,
    'Email': 800,
    'Search Ads': 1500,
    'Affiliate': 500
}
total_budget = 5000
performance_scores = {
    'Social Media': 0.8,
    'Email': 0.6,
    'Search Ads': 0.9,
    'Affiliate': 0.4
}
total_score = sum(performance_scores.values())
allocation_percentages = {channel: score / total_score for channel, score in performance_scores.items()}
# Calculate final_allocation dictionary with budget per channel
# Your code here

Need a hint?

Multiply each allocation percentage by total_budget inside a dictionary comprehension.