YIELD
Surge Pricing for Live Content
Transform static pricing into a dynamic revenue engine. Real-time demand signals drive tier adjustments, premium access gating, and ML-optimized pricing strategies that maximize revenue per viewer.
What is YIELD?
The pricing engine that adapts to demand in real-time
YIELD brings three pricing systems together into a unified dynamic pricing platform: Demand Signal Aggregator collects real-time demand from viewer counts, chat activity, and social signals, Price Optimization Engine uses ML models to find the revenue-maximizing price point for each segment, and Access Control Manager enforces tiered access with dynamic capacity allocation.
Like surge pricing for rideshare but purpose-built for live content, YIELD ensures that high-demand moments command premium prices while maintaining accessible base tiers. The result is higher revenue per event without sacrificing audience reach.
Pricing Engines
Demand Signal Aggregator
Collects and normalizes demand signals from multiple sources into a unified demand score. Viewer count velocity, chat engagement density, social amplification, and search trends are weighted and combined in real-time.
- Multi-source signal aggregation
- Sub-second demand score updates
- Historical demand pattern matching
- Anomaly detection for viral moments
Price Optimization Engine
Machine learning models continuously optimize pricing across tiers. The engine balances revenue maximization with audience retention, ensuring pricing drives revenue without alienating viewers.
- Per-segment willingness-to-pay modeling
- Conversion rate prediction at each price point
- Competitive pricing intelligence
- A/B testing framework for pricing experiments
Access Control Manager
Manages tiered access with dynamic capacity allocation. Premium tiers receive guaranteed bandwidth, priority queue positions, and exclusive interactive features that scale with demand.
- Dynamic capacity allocation per tier
- Priority bandwidth reservation
- Exclusive feature gating by tier
- Seamless upgrade flow during live events
Key Features
Pricing that responds to demand in real-time
Real-Time Demand Signals
Ingest viewer count velocity, chat engagement rate, social media mentions, and geographic demand patterns to build a composite demand score that updates every second during live events.
Dynamic Tier Adjustment
Automatically shift viewers between pricing tiers based on demand signals. As content heats up, premium tiers expand capacity while base tiers introduce upgrade prompts at optimal moments.
Premium Access Gating
Create exclusive access windows for high-demand moments. VIP viewers get guaranteed access to peak events, backstage content, and interactive features with priority bandwidth allocation.
Surge Price Modeling
ML-powered pricing models predict optimal price points for each viewer segment. Models account for willingness to pay, historical conversion rates, and competitive pricing in real-time.
Time-Decay Pricing
Implement countdown-based pricing where access cost decreases as events approach conclusion. Early premium access commands higher prices, driving urgency and early commitment from audiences.
Revenue Optimization Dashboard
Monitor pricing strategy performance with real-time dashboards showing revenue per viewer, tier conversion rates, demand curves, and A/B test results across pricing experiments.
Built For
Dynamic pricing tailored to your business
Live Event Operators
Maximize revenue from concerts, sports, and premium live events. Dynamic pricing ensures peak moments command premium rates while early access and loyalty tiers reward committed audiences.
- Demand-responsive event pricing
- VIP tier with guaranteed premium access
- Early-bird and loyalty pricing rules
- Real-time revenue per viewer tracking
Subscription Platform Operators
Optimize subscription tier pricing with demand intelligence. Identify which content drives upgrades, test pricing experiments, and automatically adjust tier boundaries based on viewer behavior patterns.
- Content-driven tier optimization
- Pricing experiment A/B framework
- Churn-aware pricing adjustments
- Segment-specific pricing strategies
Pricing
YIELD is available as an add-on to any WAVE plan
YIELD pricing scales with your event volume and the pricing engines you activate. All plans include demand signal aggregation, basic tier management, and real-time dashboards.
- Demand Signal Aggregator engine
- Price Optimization Engine with ML models
- Access Control Manager
- A/B pricing experiment framework
- Revenue optimization dashboard
How WAVE Yield compares
Monetize every stream. Every format. Every currency.
| Feature | WAVE | Vimeo OTT | Dacast |
|---|---|---|---|
| Pay-per-view | |||
| Subscriptions | |||
| Server-side ad insertion | |||
| Tipping and donations | |||
| Crypto payments | |||
| Usage-based metering API | |||
| Custom pricing tiers | |||
| Revenue analytics dashboard | |||
| Multi-currency (40+ countries) | |||
| Creator revenue splits |
Ready to maximize revenue per viewer?
See how WAVE YIELD transforms static pricing into a dynamic revenue engine powered by real-time demand