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.
These instructions will guide you on how to download the data and run the software that analyzes it
Requirements to gather 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
- Navigate to the Sharepoint Folder
- Open the Link titled: "Link to Classification Web App"
- Upload your csv and hit submit
- 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)
- If any errors arise, contact andrewd@accessmarketingcompany.com
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
- Contributor Covenant - Used for the Code of Conduct
- Creative Commons - Used to choose the license
We use Semantic Versioning for versioning. For the versions available, see the tags on this repository.
- Andrew Davis - Software Developer - UncleDrew92
See also the list of contributors who participated in this project.
This project is licensed under the CC0 1.0 Universal Creative Commons License - see the LICENSE.md file for details