A sophisticated AI agent that applies value-based frameworks and behavioral psychology to maximize revenue and conversion through optimized pricing tiers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-pricing-optimizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-pricing-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Pricing Optimizer?
The Pricing Optimizer is a strategic agent designed to act as a virtual pricing consultant for developers and product owners. Within the catalog of Openclaw Skills, this tool stands out by moving beyond simple cost-plus arithmetic to implement data-driven, psychology-informed monetization strategies. It helps businesses identify their unique value metrics and align their price points with the economic value they create for customers.
By utilizing this skill, teams can systematically analyze their competitive positioning and apply advanced tactics such as anchoring, charm pricing, and the decoy effect. As a core part of the Openclaw Skills ecosystem, the Pricing Optimizer ensures that your revenue model is not just a guess, but a calculated engine for growth that balances conversion rates with maximum ARPU.
Pricing Optimizer Use Cases
- Scaling SaaS revenue by transitioning from cost-plus to value-based pricing models.
- Designing multi-tier subscription plans that leverage the decoy effect for higher conversions.
- Auditing current churn and conversion data to identify revenue leakage in existing tiers.
- Conducting competitive gap analysis to position a product as a premium or mid-market leader.
- Calculating the impact of annual discount structures on cash flow and customer lock-in.
How Pricing Optimizer Works
- Data Discovery: The agent initiates a discovery sequence to gather current pricing tiers, target audience segments, and competitor data.
- Economic Analysis: It evaluates the economic value created for the customer compared to the next best alternative.
- Competitive Mapping: The skill maps your product against competitors on a price-vs-feature matrix to identify market opportunities.
- Psychological Layering: It applies behavioral science principles like anchoring and annual billing incentives to the recommended structure.
- Reporting: The agent generates a detailed implementation plan including expected revenue impact and A/B test suggestions.
Pricing Optimizer Setup
To add this capability to your agentic workflow, you can install the associated lead scoring tool via the CLI:
clawhub install afrexai-lead-scorer
Once installed, you can provide your current product metadata and competitive landscape to the Pricing Optimizer to begin the discovery phase. This skill works best when paired with industry-specific context packs available through the Openclaw Skills community.
Pricing Optimizer Data Schema & Taxonomy
The Pricing Optimizer structures its findings into a standardized analysis report that includes the following metadata:
| Component | Description |
|---|---|
| Current State | A snapshot of existing ARPU, conversion rates, and revenue benchmarks. |
| Recommended Tiers | A table detailing Price, Target Segment, and Key Features for each recommended tier. |
| Impact Projections | Quantitative estimates of changes in revenue, conversion, and ARPU. |
| A/B Testing Roadmap | Specific variables to test before a full pricing rollout. |
Pricing Optimizer Advanced Features
- Multi-agent integration with lead-scoring skills to dynamically adjust pricing based on lead quality.
- Support for external revenue calculators to perform real-time financial modeling and projections.
- Automated identification of value metrics to ensure pricing scales with customer success.
- Integration with industry context packs for hyper-localized market analysis within the Openclaw Skills framework.
SKILL.md
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