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NotifyVisitors’ Composable CDP allows you to connect your own data lake via Data Connector and build custom user/event models for analytics, segmentation, and more — all within the platform.
Data Connector – Sources
The Sources feature enables you to securely connect structured external data sources. Go to Settings > Data Connector > Sources to add a source.
A guided 3-step setup helps you:
- Select a source (currently only Amazon Redshift is available)
- Enter connection details (name, type, credentials)
- Complete backend validation
Once everything is verified, the source is successfully added and ready to be used for building models.
Data Connectors – Models
The Models feature lets you map the data synced from your connected sources with NotifyVisitors attributes. Under Data Connector > Models, click Add New Model and follow the 3-step process:
- Choose a source and preview tables
- Define model details (name, type, primary key) and Map identifiers (Same Model or Reference Model) to NotifyVisitors attributes
- Map each column from the source table to a corresponding NotifyVisitors attribute.
Once completed, the model is saved and added to the Models list, ready for use in analytics, segmentation, and more.
Creating Model-Based Segments
To create a segment using your models in NotifyVisitors, navigate to Segments > Create Segment > Query-Based Segment.
Select your preferred data source from the dropdown. With this, you’ll enter the segment creation interface where you can select multiple models, along with attribute-wise filter and group conditions (“Any” or “All”). Lastly, enable Precomputed Segments to auto-sync updates.
Once created such segments can be used to create personalized campaigns in NotifyVisitors.
Analyze Models
To analyze a model, head to the Analytics section of your NotifyVisitors console and choose the Analyse Models option. Here, select your preferred model, along with a date criterion (like the last login or signup date) and attribute filter to observe trends accordingly.
After configuration, click on View Details to see visual trends and attribute-based comparisons, helping you gain actionable insights from your data models.
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