The People section is RevBridge AI’s Customer Data Platform (CDP). It provides a unified view of all your customers, their behaviors, and their interactions with your brand.Documentation Index
Fetch the complete documentation index at: https://docs.revbridge.ai/llms.txt
Use this file to discover all available pages before exploring further.
Customer Database
Access the customer database from People in the sidebar. Here you’ll see a searchable, filterable list of all customers.Customer List Features
| Feature | Description |
|---|---|
| Search | Find customers by email, name, or phone |
| Filters | Filter by properties, segments, or events |
| Sort | Order by name, date added, last activity, revenue |
| Export | Download customer lists as CSV |
Customer Profiles
Click on any customer to view their full profile. Each profile contains:Identity
Basic information about the customer:- Email: Primary identifier
- Phone: Mobile number for SMS/WhatsApp
- Name: First and last name
- External ID: ID from your e-commerce platform
- Created At: When the customer was first added
Engagement Metrics
Quick stats about the customer’s engagement:| Metric | Description |
|---|---|
| First Seen | Date of first recorded interaction |
| Last Seen | Date of most recent activity |
| Total Events | Cumulative tracked events |
| Total Purchases | Number of completed orders |
| Total Revenue | Lifetime customer value |
Events Timeline
A chronological list of all events tracked for the customer:- Page views
- Product views
- Cart additions
- Purchases
- Email opens/clicks
- Custom events
- Event type
- Timestamp
- Associated properties
Purchase History
For customers synced from Shopify:- Order ID and date
- Products purchased
- Order total
- Fulfillment status
Segment Membership
Lists which audiences the customer belongs to. Useful for understanding how a customer is being targeted.Custom Properties
Any custom attributes stored for the customer:- Tags
- Preferences
- Scores (engagement score, lead score, etc.)
- Any data imported or synced
Adding Customers
Customers can be added to RevBridge AI through several methods:Integration Sync
The most common method. When you connect Shopify:- All existing customers are imported
- New customers are synced automatically
- Customer data stays up-to-date with changes
CSV Import
Upload customer lists manually:Prepare Your CSV
Include columns for email (required), plus any other properties (name, phone, etc.)
Events API
Customers can be created automatically when you send events:Searching and Filtering
Quick Search
Use the search bar to find customers by:- Email address
- Name
- Phone number
Advanced Filters
Click Filters to build complex queries:| Filter Type | Example |
|---|---|
| Property | Total Revenue > $500 |
| Event | Has event "purchase" in last 30 days |
| Segment | In segment "VIP Customers" |
| Date | Created after 2024-01-01 |
Customer Actions
From a customer profile, you can:Add to Segment
Manually add a customer to a static segment:- Click Add to Segment
- Select the target segment
- Confirm
Add Tag
Apply tags for organization:- Click Add Tag
- Enter or select a tag
- Save
View Campaign History
See which campaigns have targeted this customer:- Campaign name
- Send date
- Message status (delivered, opened, clicked)
- Conversion status
Data Privacy
RevBridge AI respects customer privacy:Opt-Out Handling
- Unsubscribed customers are marked and excluded from campaigns
- Opt-outs sync from your e-commerce platform
- Manual unsubscribe is available from the profile
Data Deletion
To delete a customer’s data:- Open the customer profile
- Click Delete Customer
- Confirm deletion
Best Practices
Keep Data Clean
- Regularly review and merge duplicate customers
- Update customer properties when you learn new information
- Remove invalid email addresses that cause bounces
Use Tags Wisely
Tags help you organize customers outside of formal segments:vip- High-value customersinfluencer- Customers with social reachat-risk- Customers showing churn signals
Monitor Customer Health
Review customer engagement metrics to identify:- Highly engaged customers (potential advocates)
- Declining engagement (re-engagement candidates)
- Inactive customers (win-back targets)
