StrategieInnovation

Revenue Model Flowchart B2C

Decision tree for selecting the right revenue model for B2C business models.

Flowchart
📄 License: CC BY-NC-ND 4.0
📌 Source: Board of Innovation
👥 1–6 people (ideal 3)⏱ 30–60 Min📍 In person / Remote / Async🎛 Facilitation: lowPractitioner heuristic

PURPOSE

B2C business models have different revenue mechanisms than B2B, and the variety of options can be overwhelming. The Revenue Model Flowchart B2C helps you systematically identify the right revenue model for consumer business models. It makes the pros and cons of different monetization approaches tangible and supports strategic decision-making.

HOW TO USE

You answer a series of questions about your B2C business, such as whether the product is physical or digital and whether it is used once or repeatedly. The flowchart guides you to suitable models such as Freemium, Pay-per-Use, Subscription, or Advertising based on your answers. The suggested models are then evaluated for feasibility and strategic fit.

WHAT IT IS

The Revenue Model Flowchart B2C is a decision tree by Board of Innovation for selecting suitable revenue models for consumer business models. It accounts for B2C-specific models such as Freemium, In-App Purchases, Advertising, and Subscription. The tool is designed as a visual flowchart and complements the B2B flowchart from the same provider.

EXAMPLE

Example: You are developing a fitness app and wondering whether to monetize through advertising, freemium, subscription, or in-app purchases. The Revenue Model Flowchart B2C guides you through decision questions: How high is the willingness to pay? How often is the app used? Is the core value ongoing or one-time? In the end, the flowchart shows that a freemium model with a premium subscription is the best fit.

PREREQUISITES

  • Understood usage and payment patterns of the audience

⚠️ WATCH OUT

  • B2C willingness to pay is chronically overestimated
  • Common mistake: Choosing ads or freemium without reach realism

💡 SUCCESS FACTORS

  • Check conversion assumptions against industry benchmarks
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