Keila
Open-source platform for email campaigns with GDPR compliance, offering segmentation, custom fields, CSV list imports, contact tagging, integration via API, privacy controls, real-time analytics, Docker support, flexible hosting, and managed cloud service.
Cost / License
- Subscription
- Open Source (AGPL-3.0)
Application type
Platforms
- Self-Hosted
- Software as a Service (SaaS)
- Cloudron
Features
Properties
- Privacy focused
Features
- Email template editor
- No Coding Required
- Email Scheduling
- Customer Segmentation
- Ad-free
- WYSIWYG Support
- Import CSV Data
- Form Builder
- Email Analytics
Tags
Keila News & Activities
Recent activities
- Fla updated Keila
- Natterjack565 updated Keila
lidoff added Keila as alternative to Gsender.pro- ultimateownsz liked Keila
Keila information
What is Keila?
Keila is an open-source platform that offers a free alternative to proprietary email marketing services such as Mailchimp and Sendinblue. Originating from Germany, the Keila project operates within the European Union, adhering to its stringent privacy standards.
Keila's features facilitate an effortless transition for users with pre-existing contact lists by allowing for easy CSV file uploads. It offers the ability to add custom data and tags to contacts, which can be used to filter contacts or as merge fields in campaigns. Keila's powerful segmentation tools enable users to create intelligent subsets of their contact lists using either a visual segment editor or a robust query language.
Keila is designed with a strong emphasis on privacy, providing necessary statistics while respecting the privacy of your contacts. It ensures data ownership, promising not to share your data with third parties if you use their managed email newsletter service. The service also provides real-time statistics for your newsletters, including open and click rates. Additionally, it offers an API for integrating your email newsletter with other applications and managing contacts and email campaigns. Keila supports self-hosting, allowing users to operate it on their own servers using the code available on GitHub or the official Docker image.














