Lernen Challenge: UTM URL Generator | Automating Growth Tasks

In growth marketing, generating UTM-tagged URLs is a common task for tracking the effectiveness of different campaigns and channels. You often need to create URLs with varying campaign parameters, such as source, medium, and campaign name, to measure traffic sources accurately in analytics platforms. Automating this process with Python can save time and reduce errors, especially when dealing with multiple combinations.

To tackle this challenge, you will write a script that starts with a base URL and a set of campaign parameters. The script will generate all possible UTM-tagged URLs for every combination of source, medium, and campaign name, then print each one. This approach allows you to quickly produce tracking links for a wide range of marketing efforts.

Consider a situation where you are launching a campaign across several platforms and want to track performance for each combination of source (like facebook or twitter), medium (such as cpc or email), and campaign name (for example, spring_sale or launch). By automating the creation of these URLs, you ensure consistency and efficiency in your workflow.


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# Hardcoded base URL
base_url = "https://www.example.com/landing-page"

# Lists of campaign parameters
sources = ["facebook", "twitter", "linkedin"]
mediums = ["cpc", "email"]
campaign_names = ["spring_sale", "launch"]

# Generate and print all UTM-tagged URLs
for source in sources:
    for medium in mediums:
        for campaign in campaign_names:
            utm_url = (
                f"{base_url}"
                f"?utm_source={source}"
                f"&utm_medium={medium}"
                f"&utm_campaign={campaign}"
            )
            print(utm_url)

This script uses nested loops to iterate through every possible combination of sources, mediums, and campaign names. For each combination, it constructs a URL with the appropriate UTM parameters and prints it. This method ensures that you generate a comprehensive set of tracking links without manual repetition or risk of missing combinations.

By adopting this approach, you can automate a repetitive marketing task, freeing up your time for higher-level strategy and analysis. The script is easily adaptable—just modify the parameter lists to fit your current campaign needs, and you can instantly produce a new set of UTM-tagged URLs for any scenario.

Aufgabe

Swipe to start coding

Write a Python script that:

Defines a hardcoded base URL as a string;
Creates three lists: one for sources, one for mediums, and one for campaign names;
Generates and prints all possible UTM-tagged URLs for every combination of source, medium, and campaign name;
Each printed URL must include the correct UTM parameters: utm_source, utm_medium, and utm_campaign.

Lösung

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Abschnitt 1. Kapitel 5

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Suggested prompts:

Can you explain what UTM parameters are and why they're important?

How can I modify the script to use my own sources, mediums, or campaign names?

Is there a way to export the generated URLs to a file instead of printing them?

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# Hardcoded base URL
base_url = "https://www.example.com/landing-page"

# Lists of campaign parameters
sources = ["facebook", "twitter", "linkedin"]
mediums = ["cpc", "email"]
campaign_names = ["spring_sale", "launch"]

# Generate and print all UTM-tagged URLs
for source in sources:
    for medium in mediums:
        for campaign in campaign_names:
            utm_url = (
                f"{base_url}"
                f"?utm_source={source}"
                f"&utm_medium={medium}"
                f"&utm_campaign={campaign}"
            )
            print(utm_url)