User Properties

1. understand user behavior and associate patterns with other users
2. segment your audience
3. personalize experiences and messaging copy.

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Core User Properties

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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

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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”)

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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”)

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Account Properties

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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”)

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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 timestamp
• is_verified: Email verification status (e.g., true/false)

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Behavioral Properties

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Engagement Metrics

• login_count: Number of times logged in (e.g., 42)
• last_active_at: Last activity timestamp
• total_sessions: Total number of sessions
• average_session_duration: Average time per session (in minutes)

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Transaction Data

• lifetime_value: Total revenue from user (e.g., 599.99)
• total_purchases: Number of completed purchases
• last_purchase_date: Date of most recent purchase
• average_order_value: Average spending per order
• payment_method: Preferred payment method (e.g., “credit_card”, “paypal”)

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Industry-Specific Properties

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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 IDs
• shipping_addresses: Array of saved delivery addresses
• preferred_payment_methods: Array of saved payment methods
• wishlist_count: Number of items in wishlist
• return_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)

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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 achievements
• preferred_game_modes: Array of favorite modes (e.g., [“battle_royale”, “team_deathmatch”])
• in_game_purchases: Total spent on virtual items
• active_character: Current character/class being used
• win_rate: Percentage of games won
• last_match_played: Timestamp of last game session
• inventory_items: Array of owned virtual items
• friend_count: Number of in-game friends
• preferred_server: Default game server region

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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 order
• delivery_address_count: Number of saved addresses
• order_frequency: How often they order (e.g., “weekly”)
• favorite_restaurants: Array of frequently ordered restaurant IDs
• last_cuisine_ordered: Type of food in last order
• delivery_instructions: Special delivery notes
• meal_preferences: Preferred meal types (e.g., [“lunch”, “dinner”])
• group_order_frequency: How often they place group orders
• review_count: Number of restaurant reviews submitted
• average_rating: Average rating given to restaurants

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Custom Properties

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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

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Example JSON Representation

{  
   "user_id":"usr_5f3a9c2e",  
   "first_name":"Sarah",  
   "last_name":"Parker",  
   "account_type":"business",  
   "plan_name":"enterprise",  
   "created_at":"2023-12-01T08:30:00Z",  
   "last_login_at":"2024-01-26T15:45:22Z",  
   "company_name":"TechCorp Solutions",  
   "role":"Product Manager",  
   "country":"United States",  
   "timezone":"America/Los_Angeles",  
   "lifetime_value":2499.99,  
   "login_count":157,  
   "is_verified":true,  
   "subscription_status":"active",  
   "trial_end_date":"2024-02-15",  
   "marketing_preferences":{  
      "email":true,  
      "sms":false  
   },  
   "feature_usage":{  
      "dashboard":42,  
      "reports":15  
   },  
   "acquisition_source":"google_ads",  
   "last_purchase_date":"2024-01-15",  
   "plan_price":299.99,`
`   "company_size":"100-500",  
   "language":"en-US",  
   "avatar_url":"<https://assets.company.com/avatars/sp.jpg"">"  
}