- understand user behavior and associate patterns with other users
- segment your audience
- personalize experiences and messaging copy.
Core User Properties
Identification Properties
user_id: Unique identifier for the user (e.g., “usr_12345”)anonymous_id: Temporary identifier for users before they sign up (e.g., “anon_789xyz”)notification_token: Notification token of the user for push
Profile Information
full_name: Complete name (e.g., “John Doe”)username: Chosen username (e.g., “johndoe123”)language: Preferred language (e.g., “en-US”)timezone: User’s timezone (e.g., “America/New_York”)
Demographics
gender: User’s gender (e.g., “female”, “male”, “non-binary”)country: Country of residence (e.g., “United States”)city: City of residence (e.g., “San Francisco”)
Account Properties
Subscription Data
plan_name: Current subscription plan (e.g., “premium”, “basic”, “enterprise”)plan_price: Price of current plan (e.g., 99.99)billing_interval: Billing frequency (e.g., “monthly”, “annual”)trial_end_date: When free trial expires (e.g., “2024-02-15”)subscription_status: Current status (e.g., “active”, “canceled”, “past_due”)
Account Status
account_type: Type of account (e.g., “individual”, “business”)account_status: Current standing (e.g., “active”, “suspended”, “deleted”)created_at: Account creation date (e.g., “2023-01-15T10:30:00Z”)last_login_at: Most recent login timestampis_verified: Email verification status (e.g., true/false)
Behavioral Properties
Engagement Metrics
login_count: Number of times logged in (e.g., 42)last_active_at: Last activity timestamptotal_sessions: Total number of sessionsaverage_session_duration: Average time per session (in minutes)
Transaction Data
lifetime_value: Total revenue from user (e.g., 599.99)total_purchases: Number of completed purchaseslast_purchase_date: Date of most recent purchaseaverage_order_value: Average spending per orderpayment_method: Preferred payment method (e.g., “credit_card”, “paypal”)
Industry-Specific Properties
E-commerce Properties
cart_value: Current shopping cart total (e.g., 129.99)abandoned_cart_count: Number of abandoned carts (e.g., 3)favorite_categories: Array of preferred shopping categories (e.g., [“electronics”, “fashion”])last_viewed_products: Array of recently viewed product IDsshipping_addresses: Array of saved delivery addressespreferred_payment_methods: Array of saved payment methodswishlist_count: Number of items in wishlistreturn_rate: Percentage of returned items (e.g., 2.5)average_order_frequency: Days between purchases (e.g., 45)loyalty_points: Current reward points balance (e.g., 500)vip_tier: Loyalty program level (e.g., “gold”, “platinum”)lifetime_value: (users total lifetime value)currency: (users transaction currency)
Gaming Properties
player_level: Current game level (e.g., 42)total_playtime: Time spent in game (in hours)current_rank: Competitive ranking (e.g., “diamond”)achievement_count: Number of completed achievementspreferred_game_modes: Array of favorite modes (e.g., [“battle_royale”, “team_deathmatch”])in_game_purchases: Total spent on virtual itemsactive_character: Current character/class being usedwin_rate: Percentage of games wonlast_match_played: Timestamp of last game sessioninventory_items: Array of owned virtual itemsfriend_count: Number of in-game friendspreferred_server: Default game server region
Food Delivery Properties
dietary_preferences: Array of dietary requirements (e.g., [“vegetarian”, “gluten-free”])favorite_cuisines: Array of preferred cuisine types (e.g., [“italian”, “thai”])average_order_size: Typical number of items per orderdelivery_address_count: Number of saved addressesorder_frequency: How often they order (e.g., “weekly”)favorite_restaurants: Array of frequently ordered restaurant IDslast_cuisine_ordered: Type of food in last orderdelivery_instructions: Special delivery notesmeal_preferences: Preferred meal types (e.g., [“lunch”, “dinner”])group_order_frequency: How often they place group ordersreview_count: Number of restaurant reviews submittedaverage_rating: Average rating given to restaurants
Custom Properties
Marketing Data
acquisition_source: How user found you (e.g., “google_ads”, “referral”)acquisition_campaign: Specific campaign (e.g., “summer_2024”)email_subscription: Newsletter status (e.g., true/false)marketing_preferences: JSON object with communication preferences