Programmatic Video AdsAutomated Video Advertising
Leverage real-time bidding, advanced targeting, and machine learning optimization to maximize video advertising performance and ROI.
Real-Time Bidding Dashboard
• Real-time bidding optimization
• Advanced audience targeting
• Fraud detection & prevention
• Cross-device campaign management
Programmatic Features
Real-Time Bidding (RTB)
Automated auction-based buying of video ad inventory in real-time
- • Optimal price discovery
- • Instant campaign optimization
- • Reduced manual intervention
- • Scale across multiple exchanges
- • Machine learning bid algorithms
- • Historical performance data
- • Real-time performance feedback
- • Predictive modeling
Advanced Targeting
Precision audience targeting using first and third-party data
- • Higher engagement rates
- • Improved conversion rates
- • Reduced wasted impressions
- • Better ROI performance
- • Lookalike audience modeling
- • Behavioral pattern analysis
- • Cross-device identity resolution
- • Dynamic audience expansion
Dynamic Creative Optimization
Automated testing and optimization of video creative elements
- • Improved creative performance
- • Reduced production costs
- • Faster time to market
- • Data-driven creative decisions
- • A/B testing automation
- • Creative element analysis
- • Performance prediction models
- • Automated creative generation
Cross-Device Tracking
Unified user journey tracking across all devices and platforms
- • Complete user journey view
- • Improved attribution
- • Reduced frequency capping issues
- • Better campaign optimization
- • Probabilistic matching algorithms
- • Deterministic ID linking
- • Privacy-compliant tracking
- • Cross-platform attribution
Advanced Targeting Capabilities
Demographic Targeting
Target users based on age, gender, income, education, and lifestyle
- • Age ranges (18-24, 25-34, 35-44, 45-54, 55+)
- • Gender (Male, Female, Non-binary)
- • Household income brackets
- • Education levels
- • Marital status and family size
Behavioral Targeting
Target based on user actions, interests, and online behavior patterns
- • Purchase history and intent
- • Website browsing behavior
- • Content consumption patterns
- • Search query analysis
- • App usage and engagement
Contextual Targeting
Target based on content context, keywords, and page categories
- • Page content analysis
- • Keyword relevance scoring
- • Content category classification
- • Brand safety verification
- • Sentiment analysis
Geographic Targeting
Location-based targeting from country level to specific coordinates
- • Country, state, city targeting
- • ZIP code and postal code
- • Radius targeting around locations
- • DMA and Nielsen regions
- • Custom geographic boundaries
Device & Technology
Target specific devices, operating systems, and connection types
- • Device type (mobile, tablet, desktop, CTV)
- • Operating system and version
- • Browser type and version
- • Connection speed and type
- • Screen size and resolution
Temporal Targeting
Time-based targeting for optimal campaign delivery timing
- • Day of week and time of day
- • Seasonal and holiday targeting
- • User timezone optimization
- • Peak engagement windows
- • Event-based timing
Bidding Strategies
Cost Per Mille (CPM)
Bid based on cost per thousand impressions
- • Predictable costs
- • Maximum reach potential
- • Brand exposure focus
- • Simple campaign setup
- • No performance guarantee
- • Requires viewability optimization
- • May not drive direct actions
- • Quality varies by inventory
Cost Per View (CPV)
Pay only when video is viewed according to defined criteria
- • Pay for actual views
- • Engagement-focused
- • Better ROI control
- • Quality traffic
- • Higher CPMs
- • Limited inventory
- • View definition variations
- • Platform dependencies
Cost Per Click (CPC)
Bid based on clicks and user interactions
- • Performance-based pricing
- • Traffic generation focus
- • Measurable engagement
- • ROI optimization
- • Click fraud risks
- • Quality vs quantity balance
- • Landing page optimization required
- • Conversion tracking needed
Cost Per Acquisition (CPA)
Pay only when specific conversion actions are completed
- • Performance guarantee
- • ROI optimization
- • Risk mitigation
- • Clear attribution
- • Higher initial costs
- • Limited scale
- • Attribution complexity
- • Conversion tracking requirements
Optimization Techniques
Machine Learning Optimization
AI-powered algorithms that continuously optimize campaign performance
- • Neural network bid optimization
- • Predictive audience modeling
- • Creative performance prediction
- • Automated budget allocation
- • 35% improvement in campaign performance
- • Reduced manual optimization time
- • Real-time decision making
- • Scalable optimization across campaigns
- • Minimum 1000 impressions for learning
- • Conversion tracking implementation
- • Historical performance data
- • Quality training datasets
Frequency Optimization
Optimal ad frequency management to maximize impact while avoiding fatigue
- • Cross-device frequency capping
- • Dynamic frequency adjustment
- • Audience fatigue detection
- • Optimal frequency modeling
- • 25% reduction in wasted impressions
- • Improved user experience
- • Higher engagement rates
- • Better brand perception
- • Cross-device user identification
- • Engagement tracking
- • Brand lift measurement
- • User feedback data
Creative Rotation & Testing
Automated creative testing and rotation for optimal performance
- • A/B testing automation
- • Creative element analysis
- • Performance-based rotation
- • Dynamic creative assembly
- • 40% improvement in creative performance
- • Reduced creative fatigue
- • Data-driven creative decisions
- • Faster creative optimization
- • Multiple creative variations
- • Performance tracking setup
- • Statistical significance thresholds
- • Creative asset library
Dayparting Optimization
Time-based campaign optimization for maximum efficiency
- • Hourly performance analysis
- • Timezone-aware optimization
- • Seasonal adjustment algorithms
- • Peak performance identification
- • 30% improvement in cost efficiency
- • Better audience targeting
- • Reduced competition during off-peak
- • Improved campaign ROI
- • Historical time-based performance
- • Audience activity patterns
- • Competitive landscape data
- • Business objective alignment
Fraud Prevention
Pre-Bid Filtering
Real-time traffic quality assessment before bid submission
- • IP reputation analysis
- • Device fingerprint verification
- • Traffic pattern analysis
- • Behavioral anomaly detection
- • Prevents wasted ad spend
- • Improves campaign performance
- • Protects brand reputation
- • Ensures quality traffic
Post-Impression Analysis
Detailed analysis of delivered impressions for fraud detection
- • Viewability measurement
- • Engagement pattern analysis
- • Geographic anomaly detection
- • Time-based fraud indicators
- • Comprehensive fraud detection
- • Detailed reporting and insights
- • Continuous learning and improvement
- • Refund and credit processing
Third-Party Verification
Independent verification through certified fraud detection partners
- • Real-time verification pixels
- • Independent measurement
- • Cross-verification protocols
- • Standardized reporting
- • Industry-standard verification
- • Independent validation
- • Comprehensive fraud protection
- • Transparent reporting
Technical Specifications
💡 Pro Tip
Combine multiple targeting parameters and use machine learning optimization for best performance. Start with broader targeting and let AI narrow down to optimal audiences.
Key Features
RTB Integration
Performance Metrics
Completion Rate
CTR
Viewability
Cost Efficiency
Scale Your Video Advertising with Programmatic Technology
Leverage AI-powered optimization, real-time bidding, and advanced targeting to maximize your video advertising ROI.