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AMC Act-On Bot Classification

This software takes in data from the Act-On Data Studio download template "Bot Classification Template" for any number of specified campaigns/messages and predicts the number of bot vs. legitimate actions.

Initially appeared on github.

Getting Started

These instructions will guide you on how to download the data and run the software that analyzes it

Prerequisites

Requirements to gather the data

Downloading the Data

Download the data using the instructions found here: Act-On Data Studio Reporting Example

Follow steps in the section "Email Bot Classification"

Below is a snapshot of what the data should look like. There will be more information not shown in the screenshot

Data Snippet.png

Sending Data to the Classifier

  1. Navigate to the Sharepoint Folder
  2. Open the Link titled: "Link to Classification Web App"
  3. Upload your csv and hit submit
  4. The data will automatically download in a zip file after it is processed (give it up to a few minutes if the file is large)
  5. If any errors arise, contact [email protected]

Analyzing the Results

Classified_Data.csv

1. The classification column indicates a predicted bot vs. human action. 1 indicates a predicted human action and 0 indicates a predicted bot action
2. The index column is the row number from the original csv uploaded
3. All extra information from the download file is included

High_Level_Data.csv

1. Produces data for the categories 'Sent' 'Unique Opens' 'Unique Open Rate' 'Unique Clicks' and 'Unique Click Rate'
2. Separates the data by Message

Built With

Versioning

We use Semantic Versioning for versioning. For the versions available, see the tags on this repository.

Authors

See also the list of contributors who participated in this project.

License

This project is licensed under the CC0 1.0 Universal Creative Commons License - see the LICENSE.md file for details

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