Pricing Strategy

5.

Advanced Pricing Models

5.1.

Dynamic Pricing Systems

5.1.1.

Real-Time Price Optimization

5.1.1.1.

Demand-Based Adjustments

5.1.1.2.

Supply-Based Adjustments

5.1.1.3.

Market Condition Response

5.1.2.

Algorithmic Pricing

5.1.2.1.

Machine Learning Applications

5.1.2.2.

Automated Price Setting

5.1.2.3.

Predictive Pricing Models

5.1.3.

Surge Pricing Models

5.1.3.1.

Peak Demand Management

5.1.3.2.

Capacity Optimization

5.1.3.3.

Revenue Maximization

5.1.4.

Time-Based Pricing

5.1.4.1.

Peak and Off-Peak Rates

5.1.4.2.

Seasonal Adjustments

5.1.4.3.

Day-of-Week Variations

5.1.5.

Personalized Pricing

5.1.5.1.

Customer Segmentation

5.1.5.2.

Individual Price Optimization

5.1.5.3.

Behavioral Targeting

5.2.

Subscription and Recurring Pricing

5.2.1.

Subscription Model Design

5.2.1.1.

Pricing Tier Structure

5.2.1.2.

Feature Differentiation

5.2.1.3.

5.2.2.

Freemium Strategies

5.2.2.1.

Free Tier Design

5.2.2.2.

Conversion Optimization

5.2.2.3.

Upgrade Triggers

5.2.3.

Usage-Based Pricing

5.2.3.1.

Metered Billing

5.2.3.2.

Pay-Per-Use Models

5.2.3.3.

Consumption Tracking

5.2.4.

Hybrid Pricing Models

5.2.4.1.

Base Plus Usage

5.2.4.2.

Tiered Usage Pricing

5.2.4.3.

Overage Charges

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4. Core Pricing Strategies

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6. Psychological Pricing Techniques