Campaign Targeting Guide

The Rules Engine enables sophisticated campaign targeting through a combination of contextual data points. Here's how to build effective targeting strategies:

Basic Targeting Scenarios

1. Demographic Targeting

{
  "type": "json-logic",
  "id": "young-adult-rule",
  "rule": {
    "and": [
      {">=": [{"var": "environment.user.age"}, 18]},
      {"<=": [{"var": "environment.user.age"}, 34]},
      {"==": [{"var": "environment.user.sex"}, "f"]}
    ]
  }
}

Use cases:

• Fashion campaigns targeting young women
• Educational content for college-age audiences
• First-time homebuyer promotions

2. Device and Platform Targeting

{
  "type": "json-logic",
  "id": "mobile-ios-rule",
  "rule": {
    "and": [
      {"==": [{"var": "environment.device.type"}, "mobile"]},
      {"==": [{"var": "environment.device.os"}, "ios"]},
      {">=": [{"var": "environment.device.osVersion"}, "15.0"]}
    ]
  }
}

Use cases:

• Mobile app promotions
• OS-specific feature announcements
• Device-optimized content delivery

Advanced Targeting Scenarios

1. Weather-Based Contextual Targeting

{
  "type": "json-logic",
  "id": "weather-based-campaign",
  "rule": {
    "or": [
      {
        "and": [
          {"<": [{"var": "environment.weather.temperature"}, 40]},
          {"in": [
            {"var": "environment.weather.condition"},
            ["snow", "sleet", "blizzard"]
          ]}
        ]
      },
      {
        "and": [
          {">": [{"var": "environment.weather.temperature"}, 85]},
          {"==": [{"var": "environment.weather.condition"}, "clear"]}
        ]
      }
    ]
  }
}

Campaign applications:

• Winter clothing promotions during cold weather
• Air conditioner sales during heat waves
• Seasonal beverage promotions
• Weather-appropriate activity suggestions

2. Content-Aware Targeting

{
  "type": "json-logic",
  "id": "sports-content-rule",
  "rule": {
    "or": [
      {
        "some": {
          "in": [{"var": "metadata.categories.iab[*].cat"}, ["IAB17", "IAB17-12", "IAB17-44"]]
        }
      },
      {
        "some": {
          "in": [{"var": "metadata.keywords[*].keyword"}, ["sports", "athlete", "game", "competition"]]
        }
      }
    ]
  }
}

Applications:

• Sports equipment ads during athletic content
• Themed promotions matching content category
• Brand safety filtering
• Content-relevant product placement

3. Behavioral Sequencing

{
  "type": "json-logic",
  "id": "engagement-sequence",
  "rule": {
    "and": [
      {">": [{"var": "environment.user.session.impressions"}, 3]},
      {">": [{"var": "environment.user.session.activations"}, 1]},
      {"<": [{"var": "environment.user.session.errors"}, 1]}
    ]
  }
}

Applications:

• Progressive engagement campaigns
• Multi-step promotional sequences
• User journey optimization
• Conversion funnel targeting

Sophisticated Campaign Strategies

1. Multi-Variable Location Targeting

{
  "type": "json-logic",
  "id": "location-based-campaign",
  "rule": {
    "and": [
      {
        "in": [
          {"var": "environment.user.location.region"},
          ["Northeast", "Mid-Atlantic"]
        ]
      },
      {
        "in": [
          {"var": "environment.time.monthName"},
          ["june", "july", "august"]
        ]
      },
      {
        "in": [
          {"var": "environment.time.dayName"},
          ["saturday", "sunday"]
        ]
      },
      {
        "between": [
          {"var": "environment.time.hour"},
          11, 18
        ]
      }
    ]
  }
}

Applications:

• Regional summer weekend promotions
• Location-specific event marketing
• Time-zone aware campaigns
• Seasonal retail promotions

2. Advanced Audience Segmentation

{
  "type": "json-logic",
  "id": "premium-audience-segment",
  "rule": {
    "and": [
      {
        ">=": [{"var": "environment.user.activity.activityLevel.monthly"}, "high"]
      },
      {
        ">=": [{"var": "environment.user.session.activations"}, 5]
      },
      {
        "some": {
          "in": [{"var": "environment.user.segments[*]"}, ["premium_user", "high_value"]]
        }
      },
      {
        ">=": [{"var": "environment.user.activity.avgSessionDuration"}, 300]
      }
    ]
  }
}

Applications:

• Premium product promotions
• Loyalty program targeting
• High-value customer campaigns
• Engagement-based offers

3. Contextual Moment Targeting

{
  "type": "json-logic",
  "id": "contextual-moment",
  "rule": {
    "and": [
      {
        "between": [
          {"var": "moment.start"},
          300000, 600000
        ]
      },
      {
        ">=": [{"var": "environment.media.duration"}, 1200000]
      },
      {
        "some": {
          "in": [{"var": "metadata.keywords[*].keyword"}, ["climax", "excitement", "tension"]]
        }
      }
    ]
  }
}

Applications:

• Mid-content engagement points
• Dramatic moment targeting
• Strategic ad placement
• Content-aware interruptions

Campaign Optimization Techniques

1. A/B Testing Setup

{
  "type": "json-logic",
  "id": "ab-test-segment",
  "rule": {
    "and": [
      {"==": [
        {"mod": [{"var": "environment.user.id"}, 2]},
        0
      ]},
      // Other targeting criteria
      {"==": [{"var": "environment.device.type"}, "mobile"]}
    ]
  }
}

Best practices:

• Create control and test groups
• Isolate variables for testing
• Monitor performance metrics
• Implement gradual rollouts

2. Frequency Capping

{
  "type": "json-logic",
  "id": "frequency-cap",
  "rule": {
    "and": [
      {"<": [{"var": "environment.user.session.impressions"}, 5]},
      {">": [
        {"var": "environment.user.activity.lastActionTime"},
        {"date": "-1 hour"}
      ]}
    ]
  }
}

Applications:

• Prevent ad fatigue
• Optimize engagement rates
• Manage user experience
• Control campaign pacing

3. Performance-Based Targeting

{
  "type": "json-logic",
  "id": "performance-optimization",
  "rule": {
    "and": [
      {">": [{"var": "environment.user.activity.interactionFrequency"}, 0.15]},
      {">=": [{"var": "environment.user.session.actions"}, 1]},
      {"<=": [{"var": "environment.user.session.errors"}, 2]}
    ]
  }
}

Optimization strategies:

• Target high-performing segments
• Adjust based on engagement metrics
• Optimize for conversion rates
• Scale successful campaigns

Industry-Specific Campaign Examples

1. Retail

{
  "type": "json-logic",
  "id": "retail-promotion",
  "rule": {
    "and": [
      {"in": [{"var": "environment.time.localHoliday"}, ["black_friday", "cyber_monday"]]},
      {">=": [{"var": "environment.user.session.impressions"}, 2]},
      {"exists": {"var": "environment.user.interests.shopping"}}
    ]
  }
}

2. Entertainment

{
  "type": "json-logic",
  "id": "entertainment-targeting",
  "rule": {
    "and": [
      {"in": [{"var": "environment.media.genre"}, ["action", "adventure"]]},
      {">=": [{"var": "moment.start"}, 300000]},
      {"exists": {"var": "metadata.keywords[*].keyword"}}
    ]
  }
}

3. Financial Services

{
  "type": "json-logic",
  "id": "financial-targeting",
  "rule": {
    "and": [
      {">=": [{"var": "environment.user.age"}, 25]},
      {"<=": [{"var": "environment.user.age"}, 45]},
      {"in": [{"var": "metadata.categories.iab[*].cat"}, ["IAB13", "IAB13-1"]]}
    ]
  }
}

Best Practices for Campaign Management

1. Rule Organization

   • Group related rules logically
   • Use consistent naming conventions
   • Document rule purposes
   • Maintain rule dependencies

2. Performance Optimization

   • Monitor rule evaluation time
   • Optimize complex conditions
   • Use appropriate targeting granularity
   • Cache frequently used contexts

3. Testing and Validation

   • Test rules with sample contexts
   • Verify rule combinations
   • Monitor campaign performance
   • Implement gradual rollouts

4. Maintenance and Updates

   • Regular rule reviews
   • Performance analysis
   • Update targeting criteria
   • Archive inactive rules