Shopping Ads

# Shopping Ads

Part of [Agent Skills™](https://github.com/itallstartedwithaidea/agent-skills) by [googleadsagent.ai™](https://googleadsagent.ai)

## Description

The Shopping Ads skill delivers end-to-end management of Google Shopping campaigns and Merchant Center product feeds. Shopping ads are the highest-intent ad format in Google's ecosystem — users see the product image, price, and merchant name before clicking, resulting in qualified traffic with strong purchase intent. The difference between mediocre and exceptional Shopping performance almost always comes down to feed quality and campaign structure.

Product feed optimization is the foundation. The skill audits every feed attribute — title, description, product type, Google product category, GTINs, custom labels, images, pricing, availability — against Google's requirements and competitive best practices. Titles are optimized with search-relevant attributes (brand, color, size, material) front-loaded for maximum visibility. Descriptions are enriched with long-tail query-matching terms. Custom labels enable performance-based segmentation (margin tiers, best sellers, seasonal items) that powers intelligent bidding strategies.

Campaign structure extends feed optimization into bid management. The skill designs Shopping campaign architectures using priority settings, custom label segmentation, and negative keyword sculpting to control which products match which queries at what bids. For Standard Shopping, this means tiered campaigns with query-level control. For PMax Shopping, it means asset group segmentation aligned with product performance clusters. Supplemental feeds, competitive pricing intelligence, local inventory ads, and free listings round out the comprehensive Shopping strategy.

## Use When

- User asks about "Shopping ads" or "Shopping campaigns"
- User mentions "product feed" or "Merchant Center"
- User wants to "optimize product titles" or "improve feed quality"
- User asks about "custom labels" or "supplemental feeds"
- User mentions "product disapprovals" or "Merchant Center errors"
- User wants to "improve Shopping ROAS" or "reduce Shopping CPA"
- User asks about "competitive pricing" or "price benchmarks"
- User mentions "local inventory ads" or "free listings"
- User wants to "segment products" by performance

## Architecture

```mermaid
flowchart TD
    A[Merchant Center] --> B[Feed Analysis Engine]

    B --> C[Attribute Audit]
    C --> C1[Title Optimization]
    C --> C2[Description Enrichment]
    C --> C3[Category Mapping]
    C --> C4[Image Quality Check]
    C --> C5[GTIN/MPN Validation]

    B --> D[Custom Label Strategy]
    D --> D1[Label 0: Margin Tier]
    D --> D2[Label 1: Best Sellers]
    D --> D3[Label 2: Seasonality]
    D --> D4[Label 3: Price Range]
    D --> D5[Label 4: New vs Existing]

    B --> E[Competitive Intelligence]
    E --> E1[Price Benchmarks]
    E --> E2[Click Share]
    E --> E3[Impression Share]

    C1 --> F[Optimized Feed]
    C2 --> F
    C3 --> F
    C4 --> F
    C5 --> F
    D1 --> F
    D2 --> F
    D3 --> F
    D4 --> F
    D5 --> F

    F --> G[Campaign Structure]
    G --> G1[Standard Shopping\nPriority Tiers]
    G --> G2[PMax Shopping\nAsset Group Segmentation]

    E1 --> H[Bid Strategy]
    E2 --> H
    E3 --> H
    G1 --> H
    G2 --> H

    H --> I[Performance Monitoring]
    I --> J[Product-Level ROAS]
    I --> K[Query-Level Analysis]
    I --> L[Competitive Position Tracking]
```

## Implementation

Product feed audit and optimization engine:

```javascript
async function auditProductFeed(merchantId) {
  const products = await getMerchantProducts(merchantId);
  const diagnostics = await getFeedDiagnostics(merchantId);

  const audit = {
    totalProducts: products.length,
    activeProducts: products.filter(p => p.status === 'active').le