Customer engagement - Answers orchestrating customer-centered journeys with marketers as
the guide
Braze supports... - Answers - First-party data management
- Real-time audience segmentation
- Message orchestration
- AI-powered optimization
Liquid - Answers a template language that supports simple to advance personalization use
cases
Canvas - Answers a visual "no-code/drag-and-drop" programming environment + offers AI
testing to measure journey effectiveness
Braze Customer Engagement Stack consists of... - Answers data ingestion -> classification ->
orchestration -> personalization -> action
Data ingestion - Answers bring data into braze (through SDK, API, CSV, partner integration)
Classification - Answers organize customers into meaningful segments
Orchestration - Answers send messages at the perfect time and place
Personalization - Answers tailor message content to each individual consumer
Action - Answers engage with consumers across every channel
SDK - Answers collect data from consumers' devices
- Ongoing data collection
- Import only & requires engineering
API - Answers flexibility import data from other systems
- Ongoing and one-off data collection
- Import/export & requires engineering
CSV - Answers quickly import spreadsheet data
- One-off data imports, completed by hand
- Import only & ready out-of-the-box
, Partner Integration - Answers supercharge your data analytics
- Ongoing data collection
- Import/export
types of data in user profiles: - Answers - attributes
- events
- out-of-the-box data
- standard attributes
- custom events
Attributes - Answers facts about a consumer or devices
Events - Answers actions done by a customer or done to them
Out-of-the-box data (OOTB) - Answers automatically collected by SDK
- Ex: session start/end, device data, geolocation data, message interaction data
- Standardized names
Standard attributes - Answers requires engineering
- Ex: first/last name, phone #, email and push subscription status
- Standardized names
Custom data - Answers requires engineering
- Ex: custom attributes, custom events, purchase events
- Freely named
Data planning - Answers making important decisions about how you will leverage data to meet
your brand's marketing and business goals
Different ways to trigger messages: - Answers - attribute trigger
- action-based trigger
Attribute trigger - Answers when certain status or attribute about a user changes
Action/event-based trigger - Answers send message after certain action/event is completed
What kind of data counts toward the data point allotment? - Answers All data except OOTB