generated from coulomb/repo-seed
470 lines
5.7 KiB
Markdown
470 lines
5.7 KiB
Markdown
# Pricing Patterns and Strategies
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Prepared for the `adaptive-pricing` project.
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## Purpose
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This document summarizes common pricing models, pricing strategies, B2B/B2C differences, lifecycle considerations, and implications for building an adaptive pricing framework and implementation platform.
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Canonical terminology lives in `PricingOntology.md`. Adjacent research is prioritized in `PricingResearchRoadmap.md`.
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---
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## 1. Pricing Strategy vs. Pricing Model
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### Pricing Strategy
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Answers:
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> Why should this price exist?
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Considers:
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- Cost floor
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- Value range
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- Market competition
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- Product lifecycle
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- Customer segments
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- Willingness to pay
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- Growth objectives
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- Margin objectives
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- Risk
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### Pricing Model
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Answers:
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> How is the customer charged?
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Examples:
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- Flat rate
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- Per-seat
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- Usage-based
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- Tiered
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- Freemium
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- Enterprise contract
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- Credits
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- Outcome-based
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- Hybrid models
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---
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## 2. Common Pricing Models
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### Flat Rate
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One product, one price.
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Strengths:
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- Simple
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- Easy to communicate
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- Easy to implement
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Weaknesses:
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- Poor segmentation
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- Limited expansion revenue
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- Over- or under-monetization
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---
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### Per-Seat
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Pricing scales with users, employees, agents, or accounts.
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Strengths:
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- Easy budgeting
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- Familiar to enterprise buyers
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Weaknesses:
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- Discourages adoption
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- Weak fit for AI-heavy products
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---
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### Usage-Based
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Customers pay for consumption.
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Examples:
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- API calls
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- Documents
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- Emails
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- Storage
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- Compute
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- Tokens
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Strengths:
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- Aligns revenue with usage
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- Low entry barrier
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Weaknesses:
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- Revenue volatility
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- Requires metering infrastructure
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---
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### Tiered Pricing
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Customers select from packages.
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Examples:
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- Basic
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- Pro
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- Enterprise
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Strengths:
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- Segmentation
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- Upsell paths
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Weaknesses:
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- Packaging complexity
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---
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### Volume Pricing
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Unit price decreases at higher volumes.
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Strengths:
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- Supports large customers
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Weaknesses:
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- Can destroy margins if discounts are not tied to commitments
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---
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### Graduated Pricing
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Each volume band has its own price.
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Strengths:
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- Smooth incentives
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- Fairer than pure volume pricing
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Weaknesses:
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- More complex to explain
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---
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### Stairstep Pricing
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Quantity ranges map to fixed prices.
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Strengths:
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- Predictable billing
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Weaknesses:
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- Threshold effects
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---
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### Package / Credit Pricing
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Customers purchase blocks of units.
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Strengths:
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- Budget control
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- Commitment generation
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Weaknesses:
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- Breakage and accounting complexity
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---
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### Freemium
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Free tier with paid upgrades.
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Strengths:
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- Acquisition
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- Viral growth
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Weaknesses:
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- Infrastructure burden
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- Conversion challenges
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---
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### Trial Models
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Temporary access before purchase.
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Strengths:
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- Reduces uncertainty
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Weaknesses:
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- Abuse potential
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- Activation challenges
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---
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### Enterprise / Custom Pricing
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Negotiated pricing.
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Strengths:
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- Flexible
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- Captures high value
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Weaknesses:
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- Sales overhead
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- Discount sprawl
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---
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### Outcome-Based Pricing
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Customer pays based on achieved outcomes.
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Examples:
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- Revenue generated
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- Cost saved
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- Tickets resolved
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Strengths:
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- Strong value alignment
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Weaknesses:
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- Attribution disputes
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---
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### Hybrid Pricing
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Combination of multiple pricing mechanisms.
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Examples:
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- Subscription + Usage
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- Platform Fee + Transaction Fee
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- Minimum Commitment + Usage
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Strengths:
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- Flexible
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- Increasingly dominant
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Weaknesses:
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- Greater implementation complexity
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---
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## 3. Pricing Strategies
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### Cost-Plus
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Price = Cost + Margin
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Useful for establishing a cost floor.
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---
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### Value-Based
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Price reflects customer value.
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Useful for maximizing economic alignment.
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### Competition-Based
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Price references alternatives in the market.
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Useful for positioning.
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### Penetration Pricing
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Low entry pricing to gain adoption.
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Best suited for:
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- Exploration
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- Introduction
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---
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### Premium / Skimming Pricing
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High initial pricing.
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Best suited for:
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- Strong ROI
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- Low competition
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- Urgent customer pain
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---
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### Good-Better-Best Packaging
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Multiple tiers designed to segment willingness to pay.
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---
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### Dynamic Pricing
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Prices adapt to:
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- Demand
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- Capacity
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- Market conditions
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Requires careful governance and explainability.
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---
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### Personalized Pricing
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Prices vary by customer.
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Benefits:
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- Revenue optimization
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Risks:
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- Trust
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- Fairness
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- Regulation
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---
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### Segmented Pricing
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Different pricing for different customer categories.
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Examples:
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- Individual
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- SMB
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- Enterprise
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- Education
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- Nonprofit
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---
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### Lifecycle Pricing
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Different strategies across:
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1. Exploration
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2. Introduction
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3. Growth
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4. Maturity
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5. Saturation
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6. Decline
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---
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## 4. B2B vs B2C
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### B2B
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Primary concerns:
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- ROI
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- Procurement
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- Predictability
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- SLA
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- Compliance
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- Integration
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Common models:
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- Seat-based
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- Usage-based
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- Enterprise contracts
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- Hybrid models
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---
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### B2C
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Primary concerns:
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- Simplicity
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- Trust
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- Immediate value
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- Easy cancellation
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Common models:
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- Subscription
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- Freemium
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- Family plans
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- In-app purchases
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- Bundles
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---
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## 5. Implications for adaptive-pricing
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Pricing should be represented as composable primitives.
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Examples:
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- Access fee
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- Usage meter
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- Commitment
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- Discount rule
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- Risk adjustment
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- Lifecycle phase
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- Segment rule
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- Boundary condition
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- Payment-provider mapping
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Pricing should be modeled independently from Stripe or other payment providers.
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Payment providers execute pricing artifacts.
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The adaptive-pricing engine owns:
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- Model definition
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- Constraints
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- Simulations
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- Recommendations
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- Explanations
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- Versioning
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---
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## References
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- Stripe Billing Documentation: https://docs.stripe.com/
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- Paddle Pricing Guides: https://www.paddle.com/blog/
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- Chargebee Billing Documentation: https://www.chargebee.com/docs/
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- Reuters coverage on algorithmic pricing regulation: https://www.reuters.com/
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- Research on trial subscriptions: https://arxiv.org/
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- Nature Index article on psychological pricing: https://www.nature.com/ |