Overview

Develop and deploy custom optimization algorithms that leverage Scope3’s rich data ecosystem while implementing your unique business logic, attribution models, and performance optimization strategies.
Coming Soon: Detailed documentation on algorithm development framework, data access APIs, and deployment infrastructure for custom optimization solutions.

Custom Algorithm Capabilities

Algorithm Types

  • Custom Bidding Strategies: Implement proprietary bidding logic and optimization rules
  • Attribution Models: Build specialized attribution and measurement frameworks
  • Audience Algorithms: Develop custom audience targeting and expansion strategies
  • Budget Optimization: Create advanced budget allocation and pacing algorithms

Data Access

  • Performance Data: Full access to campaign performance metrics and analytics
  • Signal Data: Integration with all signal types (Scope3, third-party, custom)
  • Inventory Data: Real-time inventory quality and availability information
  • Historical Data: Access to historical campaign and performance data for model training

Development Framework

  • Algorithm SDK: Comprehensive development kit for building custom algorithms
  • Testing Environment: Sandbox environment for algorithm development and validation
  • Performance Benchmarking: Tools for comparing custom algorithms against Scope3 baselines
  • Deployment Pipeline: Streamlined deployment and monitoring infrastructure

Implementation Approaches

API Integration

Build algorithms that integrate with Scope3’s platform via APIs and webhooks for real-time optimization.

Embedded Algorithms

Deploy algorithms directly within Scope3’s infrastructure for maximum performance and integration.

Algorithm Development Patterns

  • Reinforcement Learning: Implement custom RL algorithms using Scope3’s reward signals
  • Multi-Objective Optimization: Balance multiple campaign objectives with custom weighting
  • Ensemble Methods: Combine Scope3 algorithms with proprietary models
  • Transfer Learning: Adapt algorithms across different campaign types and verticals

Performance Optimization

  • Real-time Processing: Low-latency algorithm execution for bid-time decisions
  • Batch Optimization: Periodic algorithm execution for campaign strategy updates
  • Hybrid Approaches: Combination of real-time and batch optimization for optimal performance
  • Scalability Framework: Infrastructure for handling high-volume algorithm execution

Data Integration Patterns

Input Data Sources

  • Campaign Metrics: Performance data, spend, impressions, conversions
  • Signal Intelligence: Processed signal effectiveness and combination insights
  • Inventory Intelligence: Quality scores, availability, and pricing data
  • External Data: Integration with your proprietary data sources and systems

Output Integration

  • Bidding Decisions: Real-time bid optimization and inventory selection
  • Budget Allocation: Dynamic budget distribution across tactics and campaigns
  • Targeting Adjustments: Automated audience and signal optimization
  • Performance Reporting: Custom metrics and KPI calculation

Use Cases

Advanced Attribution

  • Multi-Touch Attribution: Custom attribution models beyond standard approaches
  • Cross-Channel Attribution: Unified attribution across online and offline touchpoints
  • Incrementality Measurement: Sophisticated lift measurement and testing frameworks
  • Custom Conversion Windows: Flexible attribution windows based on business objectives

Specialized Optimization

  • Vertical-Specific Algorithms: Algorithms optimized for specific industries or use cases
  • Brand Safety Algorithms: Custom brand safety and contextual targeting rules
  • Fraud Detection: Proprietary fraud prevention and quality assurance algorithms
  • Competitive Intelligence: Algorithms that incorporate competitive landscape data

Next Steps