Lära Introduction to Marketing Automation | Automating Marketing Tasks with Python

Marketing teams often face a variety of repetitive tasks that, while essential, can consume significant amounts of time if performed manually. Some of the most common examples include generating regular campaign performance reports, cleaning and preparing raw data for analysis, and calculating metrics such as click-through rates or return on ad spend. By automating these workflows with Python, you can dramatically increase efficiency, reduce errors, and free up valuable time for more strategic activities.


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import pandas as pd

def generate_campaign_summary():
    data = {
        "Campaign": ["Spring Sale", "Summer Launch", "Holiday Promo"],
        "Impressions": [10000, 15000, 12000],
        "Clicks": [400, 600, 480],
        "Conversions": [40, 90, 50],
        "Spend": [500, 800, 600]
    }
    df = pd.DataFrame(data)
    df["CTR"] = df["Clicks"] / df["Impressions"]
    df["Conversion Rate"] = df["Conversions"] / df["Clicks"]
    df["CPC"] = df["Spend"] / df["Clicks"]

    summary = df[["Campaign", "CTR", "Conversion Rate", "CPC"]]
    print("Campaign Summary Report:")
    print(summary.round(3))

generate_campaign_summary()

This function demonstrates how Python can automate the creation of a campaign summary report. Instead of manually calculating key metrics for each campaign, the function processes the data in seconds, computes click-through rates, conversion rates, and cost per click, and presents the results in a structured format. For marketers, this reduces the repetitive effort of building reports by hand, minimizes the chance of calculation errors, and ensures consistency in reporting. Automating such tasks allows you to focus on interpreting results and planning future strategies, rather than spending time on manual data manipulation.


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import time

# Schedule the summary function to run every 10 seconds (as an example)
for i in range(3):  # Run 3 times for demonstration
    print(f"Run {i+1}:")
    generate_campaign_summary()
    time.sleep(10)

1. What is a key advantage of automating marketing reports?

2. Which Python structure can be used to repeat a task multiple times?

3. Fill in the blank: Automating tasks in Python can help marketers save ______.

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Avsnitt 2. Kapitel 1

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Suggested prompts:

Can you explain how the scheduling works in this example?

How can I customize the report for my own campaign data?

What other marketing tasks can be automated with Python?

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