A measurement tool designed to estimate directional cross-channel lift and marketing spillover using campaign timing and sales data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install spillover-estimator
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 spillover-estimator 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 Spillover Estimator?
Spillover Estimator is a specialized utility within the Openclaw Skills ecosystem that solves the complex problem of cross-channel attribution. Instead of relying on flawed pixel-based tracking, it uses temporal alignment and directional evidence to determine if growth in a source channel—such as TikTok or creator campaigns—is driving measurable lift in downstream channels like Amazon or direct-to-consumer (DTC) storefronts.
This skill is built for operators who need to justify budget allocations across a fragmented commerce landscape. By analyzing source-channel signals alongside downstream performance, it provides a realistic assessment of marketing impact without overclaiming causality, making it a grounded alternative to traditional attribution software.
Spillover Estimator Use Cases
- Evaluating whether a TikTok creator burst resulted in an Amazon sales spike.
- Determining the downstream impact of paid social traffic on organic search volume.
- Comparing marketplace growth against specific promotional windows.
- Planning budget reallocations based on directional channel correlation.
How Spillover Estimator Works
- The user defines the source channel (e.g., TikTok Shop) and the downstream target (e.g., Shopify).
- The skill identifies key change signals and timing bursts within the source channel data.
- It aligns these signals with performance fluctuations in the downstream channel during the same window.
- The system evaluates the correlation to determine if the lift is likely related, weak, or insufficient.
- It generates a directional estimate accompanied by confidence notes and actionable recommendations.
Spillover Estimator Setup
To integrate this capability into your environment, ensure you have the necessary data exports or API access for your commerce platforms. Use the following command to add this to your local Openclaw Skills repository:
openclaw install spillover-estimator
Ensure you have CSV or export access to at least one source channel (Ad platforms, TikTok) and one downstream channel (Amazon, Shopify).
Spillover Estimator Data Schema & Taxonomy
The skill processes data through a structured analysis of timing and magnitude. It organizes findings into the following schema:
| Component | Description |
|---|---|
| Executive Summary | High-level overview of the cross-channel relationship. |
| Spillover Estimate | The calculated directional lift percentage or value. |
| Evidence Blocks | Specific data points or timing alignments supporting the estimate. |
| Confidence & Caveats | A transparency layer detailing data gaps and attribution limits. |
| Action Recommendation | Specific next steps for budget or channel planning. |
Spillover Estimator Advanced Features
- Support for multi-channel downstream tracking to see spillover across an entire ecosystem simultaneously.
- Fallback processing for low-fidelity data such as weekly snapshots or manual screenshots.
- Directional vs. Causal filtering to prevent over-optimistic reporting.
- Exportable findings formatted for direct handoff into channel planning and budget tools.
SKILL.md
Loading
Related Openclaw Skills
PV_25: Risk-Reward Actuary
A precision actuary skill focused on extreme risk-reward calculation and resource maximization with an empathetic core.
MediaIO Image to Image API
A sophisticated image-to-image transformation skill that leverages the Media.io OpenAPI to apply AI-driven style transfers, filters, and creative enhancements.
GLM-OCR Table Recognition
A specialized tool for extracting complex tables from images and PDF documents into clean, editable Markdown format using the ZhiPu GLM-OCR API.
API Translator
A specialized tool that transforms technical API documentation into accurately localized Traditional Chinese using LLM intelligence.
Writing Plans
A methodical framework for decomposing complex AI tasks into actionable, ordered execution steps with built-in verification.
FT Macro Economy Data Skill
A comprehensive data skill providing detailed macroeconomic indicators for China and the United States via a unified CLI interface.
Featured*
