marketing

Marketing-Attribution-Models: Accurate Attribution

Name: Marketing-Attribution-Models: Accurate Attribution
Author: DP6

Get accurate digital marketing attribution with Marketing-Attribution-Models, a Python class for startup founders, with 365 GitHub stars.

365 stars87 forksPythonQuality 9/10Updated 4/28/2026100% free · open source

What it does

Marketing-Attribution-Models is a Python class that helps startup founders accurately attribute the impact of their digital marketing efforts on customer interactions and conversions.

Install / run

pip install git+https://github.com/DP6/Marketing-Attribution-Models.git

When to use it

•You're spending a significant budget on digital marketing and need to understand which channels are driving the most value.
•You're using multiple marketing channels and want to optimize your budget allocation based on data-driven insights.
•You need to measure the return on investment (ROI) of specific marketing campaigns or tactics.

Quick start

1Clone the repository using `git clone https://github.com/DP6/Marketing-Attribution-Models.git`
2Navigate to the project directory using `cd Marketing-Attribution-Models`
3Open the `marketing_attribution.py` file and import the necessary classes and functions
4Create an instance of the `MarketingAttribution` class, passing in your marketing data as a Pandas dataframe
5Call the `run_attribution` method to calculate attribution values for your marketing channels

Ready-to-paste prompt

from marketing_attribution import MarketingAttribution; attribution = MarketingAttribution(df); attribution.run_attribution()

Heads up: Make sure you have Python 3.8 or later installed, as well as the required libraries listed in the `requirements.txt` file, including Pandas and NumPy.

Saves to your device