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Overview

Signals are data points that inform campaign targeting and optimization decisions. The Scope3 platform uses two distinct types of signals to create effective advertising tactics and improve campaign performance.

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Two Types of Signals

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1. Third-Party Signals

External data providers - additional cost applies:
  • Weather Data: Current weather conditions for user location
  • Audience Segments: Demographics and behavioral data from data providers
  • Economic Indicators: Local market conditions, spending patterns
  • Event Data: Local events, sports schedules, cultural activities
  • Contextual Data: Real-time content analysis and sentiment
Third-party signals are coming soon. Contact support@scope3.com for early access and pricing information.

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2. Custom Signals (First-Party Data)

Your own data - no additional cost:
  • CRM Segments: Customer loyalty tiers, purchase history, lifetime value
  • Behavioral Data: Website interactions, app usage patterns
  • Geographic Data: Store locations, service areas, market territories
  • Custom Attributes: Any business-specific targeting parameters
Upload and manage your first-party data through the Custom Signals Platform.

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3. Agent-Managed Signals

Intelligent data retrieval - powered by external signals agents: Signals agents act as a RAG (Retrieval-Augmented Generation) process, intelligently surfacing the most relevant segments from proprietary data catalogs:
  • LiveRamp Integration: Access your LiveRamp audience segments with RampID resolution
  • Optable Integration: Privacy-first data clean room segments (coming soon)
  • Custom Agents: Your own algorithms and data sources via ADCP protocol
Ownership Model: Agents manage segments they create, with complete audit trails of all actions. Multi-Seat Support: Partners can manage segments across multiple brand agent seats with proper access controls. Learn more about Signals Agents and building Custom Agents.

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How Signal RAG Works

Signal Retrieval-Augmented Generation (RAG) is how the platform combines multiple signal types to create optimized targeting tactics:

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The Process

  1. Signal Collection: The platform gathers all available signals for each impression opportunity
    • Custom signals (your first-party data)
    • Third-party signals (when available)
    • Built-in targeting (media quality, viewability predictions)
  2. Context Retrieval: Relevant signals are retrieved based on campaign objectives and targeting criteria
  3. Tactic Generation: AI combines signals to create optimized targeting combinations
    • High-quality inventory + loyal customers + favorable weather
    • Premium content + high completion rates + recent purchasers
  4. Performance Learning: Results feed back into the system to improve future signal combinations

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Developer Benefits

For technical teams, Signal RAG provides:
  • Explainable AI: Understand which signals drove targeting decisions
  • Performance Attribution: Track signal effectiveness across tactics
  • Custom Integration: Add your own signals to the optimization process
  • Real-time Adaptation: Signal combinations adjust based on performance data

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Using Signals in Campaigns

Signals work automatically in campaign optimization, but you can influence their usage:

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In Campaign Prompts

const campaign = await createCampaign({
  brandAgentId: "ba_123",
  name: "Premium Quality Campaign",
  prompt: "Target high_value_customers on premium inventory with strong completion rates",
  budget: { total: 50000, currency: "USD" }
});

// The platform automatically selects relevant signals:
// - Custom: high_value_customers (your first-party data)
// - Built-in: premium_inventory, high_completion_rate targeting
// - Creates optimized tactics combining these signals

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Managing Signals Across Seats

For Partners & Multi-Seat Users: Signals can be filtered and managed across multiple brand agent seats: 
// Discover which seats you can access
await getPartnerSeats();

// List all signals across accessible seats 
await listSignals();
// Each signal includes seat information (seatId, seatName)

// Filter signals by specific seat
await listSignals({ 
  seatId: "seat_abc123" 
});

// Combine seat and regional filtering
await listSignals({ 
  seatId: "seat_abc123",
  region: "americas" 
});
Seat Information: When listing signals, each signal shows:
  • Seat ID: Brand agent identifier that owns the signal
  • Seat Name: Human-readable brand agent name
  • Standard Metadata: Signal name, description, key type, regions, etc.
This enables partners to understand signal deployment across their client accounts and manage targeting at the seat level.

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Performance Analysis

Monitor signal effectiveness through tactic analysis: 
const signalAnalysis = await analyzeTactics({
  campaignId: "camp_123",
  analysisType: "signals"
});

// Returns effectiveness scores for different signal combinations
// helping you understand what drives performance

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Signal Performance Metrics

Effectiveness Score: Primary metric combining conversion rate and cost efficiency
  • High Score (>8.0): Scale up budget allocation
  • Medium Score (5.0-8.0): Monitor performance, optimize where possible
  • Low Score (<5.0): Consider adjusting campaign targeting
Key Performance Indicators:
  • Reach: Total impressions delivered with signal combinations
  • Cost Efficiency: CPM performance relative to quality
  • Conversion Rate: Actions taken per impression
  • Quality Score: Media quality metrics from Scope3 signals

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Next Steps

Custom Signals

Upload Your DataAdd first-party audience segments and custom targeting data to improve campaign performance.

Tactic Analysis

Performance OptimizationUnderstand how signal combinations create high-performing tactics.

Campaign Strategy

Strategic PlanningLearn how to structure campaigns to take advantage of signal optimization.