A strategic modeling tool that estimates how changes in bundle uptake, upsells, or pricing impacts average order value and margin logic.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aov-uplift-simulator
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 aov-uplift-simulator 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 AOV Uplift Simulator?
The AOV Uplift Simulator is a specialized utility within the Openclaw Skills ecosystem designed for ecommerce growth teams and product managers. It moves beyond simple revenue forecasting by integrating margin drag and knock-on effects into offer modeling. By simulating bundle, upsell, and pricing assumptions in a sandbox environment, teams can validate the economic viability of new merchandising tactics before they impact live production environments.
This skill bridges the gap between creative offer brainstorming and hard commercial reality. It ensures that every proposed discount or tiered pricing strategy is pressure-tested against break-even logic, providing a clear economic view that makes high-stakes decisions easier to evaluate and act upon.
AOV Uplift Simulator Use Cases
- Comparing multiple discount or bundle scenarios before a formal launch.
- Validating the economic sustainability of new upsell ideas against margin constraints.
- Pressure-testing merchandising decisions by growth teams to find potential margin leaks.
- Establishing clear go, watch, or no-go logic for scaling promotional offers.
How AOV Uplift Simulator Works
- Define the baseline commercial setup, including current price points and cost structures.
- Input the proposed scenario variables, such as expected attach rates or discount depths.
- Surface the projected upside alongside sensitivity analysis and potential downside risks.
- Identify critical weak points and determine the specific break-even pressure on the margin.
- Generate a formal recommendation to test, revise, or discard the scenario based on commercial data.
AOV Uplift Simulator Setup
To integrate this capability into your agent workflow, ensure your environment is configured for Openclaw Skills and install the simulator via the CLI:
# Navigate to your agent project
cd my-ai-agent
# Install the AOV Uplift Simulator skill
claw install aov-uplift-simulator
Once installed, point the agent to your references/output-template.md to ensure standardized reporting.
AOV Uplift Simulator Data Schema & Taxonomy
The skill organizes its economic modeling using a structured input-to-output mapping to maintain commercial clarity:
| Data Component | Description |
|---|---|
| Core Assumptions | Price, cost of goods sold (COGS), and initial margin data. |
| Scenario Inputs | Variable traffic, conversion rates, and upsell acceptance percentages. |
| Economic Outputs | Baseline vs. Scenario comparisons, including margin/refund assumptions. |
| Risk Taxonomy | Categorization of weak points and sensitivity thresholds. |
| Recommendation | Actionable guidance based on ecommerce economics. |
AOV Uplift Simulator Advanced Features
- Multi-scenario comparison to rank different promotional tactics by margin efficiency.
- Sensitivity analysis to find the 'break point' where a discount destroys profitability.
- Standardized reporting via customizable markdown templates for executive review.
- Support for complex refund and margin drag assumptions in multi-item bundles.
SKILL.md
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