With Blueshift, you can combine real-time dynamic user-segmentation with hyper-personalized content, to execute campaigns across multiple marketing channels.
Blueshift's Campaign Builder supports the following automated and adhoc campaign types:
| Campaign Type |
Definition |
Key Features |
Example Campaign Types |
Required Components |
| Event Triggered |
Campaign based on a single event that triggers a series of messages spread out over time |
- Runs every time an event occurs
- Can also be triggered through an API call instead of an event
- Create multi-step, multi-channel journeys with complex conditional filters
|
- Welcome Series
- Post Purchase
- Password Reset (API triggered)
- Order Confirmation (API triggered)
|
- Single triggering Event
- Template
- Recommendation algorithm (optional)
- User API Key (API triggered)
- JSON (API triggered)
- Campaign (API triggered)
|
| Segment Triggered |
Campaign based on users entering a segment with multiple conditions (events, attributes, messaging history, etc.) |
- Segment refreshes and evaluates users every 3-5 minutes
- Create multi-step, multi-channel journeys with complex conditional filters
|
- Birthday reminder
- Reactivation
- Engaged/Active Users
|
- Segment based on event, user, messaging, etc.
- Template
- Recommendation algorithm (optional)
|
|
|
Campaigns that are sent on a repeating schedule at a specific time |
- Single touch on a single channel only
|
- Weekly Newsletter
- Top trending products newsletter
|
- Segment based on event, user, messaging, etc.
- Template
- Recommendation algorithm (optional)
|
| One Time |
Campaigns sent once at a specific date and time |
- Single touch on a single channel only
|
- Marketing
- Holiday promotion
|
- Segment based on event, user, messaging, etc.
- Template
- Recommendation algorithm (optional)
|
| Live Content |
Campaigns allows for targeting based on real-time user behavior |
- The website/app marks one or more "slots" on web pages/screens where dynamic content is inserted from Blueshift's Live Content APIs for personalizing the user's experience
|
|
- Segment based on event, user, messaging etc
- Template
- Recommendation algorithm (optional)
- Campaign priority
|
This course is designed to teach fundamental concepts of Blueshift followed by hands on exercises in a simulated Blueshift instance.
