expanly-scoring-model

Assign three-tier priority scores to products for advertising campaigns.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Expanly/expanly-claude-code-agents --skill expanly-scoring-model
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: expanly-scoring-model
Source: https://github.com/Expanly/expanly-claude-code-agents/tree/main/plugins/expanly-scoring-model/skills/expanly-scoring-model
Command: npx skills add https://github.com/Expanly/expanly-claude-code-agents --skill expanly-scoring-model

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Expanly scoring models provide a structured approach to assign priority scores to products for advertising campaigns, ensuring optimal budget allocation and improved ROAS while handling variant vs product level scoring and dynamic remarketing needs.

Core Features & Use Cases

  • Three-tier priority system (0/1/2) with exclusion, default, and inclusion rules.
  • Snapshot-based architecture and product-variant aggregation for robust historical analysis.
  • Custom labels for cross-channel dynamic remarketing campaigns and scalable bid strategies.
  • Use Case: A retailer with thousands of SKUs can score products at the product level and propagate scores to all variants for consistent ad delivery.

Quick Start

Start by reviewing the scoring rules, architecture docs, and integration guidelines to implement a scoring model for your catalog.

Frequently Asked Questions about expanly-scoring-model

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assign priority scores to products for dynamic remarketing campaigns?

Product scoring for advertising applies a three-tier priority system (0/1/2) with exclusion, default, and inclusion rules to manage budget allocation and improve ROAS across dynamic remarketing campaigns.

What is the best way to handle variant aggregation when scoring products for ad bidding?

Variant aggregation handles scoring at the product level and propagates those scores to all variants, ensuring consistent ad delivery for retailers with thousands of SKUs.

How do custom labels work with product scoring for cross-channel remarketing?

Custom labels map product priority scores to cross-channel dynamic remarketing campaigns, enabling scalable bid strategies and consistent advertising delivery across networks.

Can I use snapshot-based architecture for historical product score analysis?

Snapshot-based architecture captures product state over time, providing robust historical analysis for dynamic remarketing and reliable score tracking across advertising campaigns.

Does product scoring support stock overrides for advertising campaigns?

Stock overrides are supported within the product scoring rules, allowing you to adjust priority scores and exclude out-of-stock items from dynamic remarketing campaigns.