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The List Report Fields node retrieves the complete schema of available metrics and dimensions for Google Merchant Center reporting. Essential for discovering reportable fields and building custom reports. This is an AI-powered node that can understand natural language instructions.

When to Use It

  • Discover available reporting metrics and dimensions
  • Build custom report configurations
  • Understand field definitions and data types
  • Find specific fields for targeted analysis
  • Validate field names before creating reports
  • Explore new reporting capabilities
  • Document available reporting schema

Inputs

FieldTypeRequiredDescription
Field Type FilterMulti-selectNoFilter by field type (metric/dimension)
Search TermsTextNoKeywords to search field names or descriptions
Category FilterMulti-selectNoFilter by field category

Field Type Options

TypeDescriptionUse Case
MetricsMeasurable values (clicks, revenue)Performance analysis
DimensionsDescriptive attributes (product, date)Data segmentation
BothAll available fieldsComplete schema discovery

Field Categories

CategoryDescriptionExample Fields
PerformanceTraffic and engagement metricsClicks, Impressions, CTR
FinancialRevenue and cost metricsRevenue, Cost, ROAS
ProductProduct-specific attributesProduct ID, Brand, Category
GeographicLocation-based dimensionsCountry, Region, City
TemporalTime-based dimensionsDate, Week, Month
CampaignShopping campaign dataCampaign, Ad Group

Output

Returns comprehensive field schema information:
{
  "report_fields": [
    {
      "field_id": "clicks",
      "field_name": "Clicks",
      "field_type": "metric",
      "data_type": "integer",
      "category": "performance",
      "description": "Number of clicks on your products in Shopping ads",
      "is_filterable": true,
      "is_sortable": true,
      "compatibility": ["all_reports"],
      "example_values": ["1234", "5678", "9012"]
    },
    {
      "field_id": "impressions",
      "field_name": "Impressions", 
      "field_type": "metric",
      "data_type": "integer",
      "category": "performance",
      "description": "Number of times your products were shown in Shopping ads",
      "is_filterable": true,
      "is_sortable": true,
      "compatibility": ["all_reports"],
      "example_values": ["12340", "56780", "90120"]
    },
    {
      "field_id": "product_title",
      "field_name": "Product Title",
      "field_type": "dimension",
      "data_type": "string",
      "category": "product",
      "description": "The title of the product as it appears in your product feed",
      "is_filterable": true,
      "is_sortable": true,
      "compatibility": ["product_performance", "shopping_performance"],
      "example_values": ["iPhone 15 Pro", "Samsung Galaxy S24", "Nike Air Max"]
    },
    {
      "field_id": "conversion_value",
      "field_name": "Conversion Value",
      "field_type": "metric",
      "data_type": "currency",
      "category": "financial",
      "description": "Total value of conversions attributed to your products",
      "is_filterable": true,
      "is_sortable": true,
      "compatibility": ["all_reports"],
      "example_values": ["1999.99", "599.50", "299.00"]
    },
    {
      "field_id": "date",
      "field_name": "Date",
      "field_type": "dimension",
      "data_type": "date",
      "category": "temporal",
      "description": "The date for which the data is reported",
      "is_filterable": true,
      "is_sortable": true,
      "compatibility": ["all_reports"],
      "example_values": ["2024-03-15", "2024-03-14", "2024-03-13"]
    }
  ],
  "summary": {
    "total_fields": 5,
    "total_metrics": 3,
    "total_dimensions": 2,
    "categories": {
      "performance": 2,
      "financial": 1,
      "product": 1,
      "temporal": 1
    }
  },
  "field_compatibility": {
    "all_reports": ["clicks", "impressions", "conversion_value", "date"],
    "product_performance": ["product_title"],
    "shopping_performance": ["product_title"]
  }
}

Field Properties:

PropertyDescription
field_idUnique identifier for API usage
field_nameHuman-readable field name
field_typeMetric or dimension classification
data_typeData format (integer, string, currency, date)
categoryFunctional grouping
descriptionDetailed field explanation
is_filterableCan be used in report filters
is_sortableCan be used for report sorting
compatibilityWhich reports support this field
example_valuesSample data for understanding

Credit Cost

  • Cost per run: 0 credits (Free)

Common Workflows

Report Planning:
[List Report Fields] → [Select Relevant Fields] → [Plan Report Structure] → [Build Custom Report]
Field Discovery:
[List Report Fields] → [Search by Keywords] → [Review Field Definitions] → [Document Schema]
Report Validation:
[List Report Fields] → [Validate Field Names] → [Check Compatibility] → [Fix Report Configuration]
Schema Documentation:
[List Report Fields] → [Export Field List] → [Generate Documentation] → [Share with Team]

Field Categories

Performance Metrics

Traffic and engagement measurements:
  • Clicks: Product clicks in Shopping ads
  • Impressions: Times products were shown
  • CTR: Click-through rate percentage
  • Position: Average ad position
  • View-through Conversions: Indirect conversions

Financial Metrics

Revenue and cost measurements:
  • Conversion Value: Total conversion revenue
  • Cost: Total advertising cost
  • CPC: Cost per click
  • ROAS: Return on ad spend
  • Revenue: Total sales revenue

Product Dimensions

Product-specific attributes:
  • Product ID: Unique product identifier
  • Product Title: Product name
  • Brand: Product brand/manufacturer
  • Category: Product category
  • Product Type: Your product classification

Geographic Dimensions

Location-based segmentation:
  • Country: Country where ad was shown
  • Region: Geographic region
  • City: City location
  • Metro Area: Metropolitan area

Temporal Dimensions

Time-based analysis:
  • Date: Daily breakdown
  • Week: Weekly aggregation
  • Month: Monthly view
  • Quarter: Quarterly analysis
  • Year: Annual comparison

Use Cases

Custom Report Building

Design targeted analysis reports:
- Search for performance metrics
- Find relevant product dimensions
- Check field compatibility
- Build optimized report structure

Data Exploration

Discover available data points:
- Browse all available fields
- Understand data types and formats
- Explore new reporting capabilities
- Plan advanced analysis workflows

Report Troubleshooting

Fix report configuration issues:
- Validate field names and IDs
- Check field compatibility
- Understand filtering limitations
- Resolve data type conflicts

Team Training

Educate team on available data:
- Generate field documentation
- Share field definitions and examples
- Explain reporting capabilities
- Standardize field usage across team

Field Selection Guide

For Performance Analysis:

Essential metrics:
  • clicks - Traffic measurement
  • impressions - Visibility tracking
  • ctr - Efficiency metric
  • conversions - Success measurement
  • conversion_rate - Performance indicator

For Financial Analysis:

Revenue-focused metrics:
  • conversion_value - Total revenue
  • cost - Advertising spend
  • roas - Return on investment
  • cpc - Cost efficiency
  • revenue_per_click - Value metric

For Product Analysis:

Product-specific dimensions:
  • product_title - Product identification
  • brand - Brand performance
  • category - Category analysis
  • product_type - Classification
  • condition - Product condition

For Trend Analysis:

Time-based dimensions:
  • date - Daily trends
  • week - Weekly patterns
  • month - Monthly comparison
  • quarter - Seasonal analysis
  • year - Annual trends

Search and Filter Tips

Effective Search Strategies:

  • Use specific keywords related to your analysis needs
  • Search by category to find related fields
  • Look for field descriptions to understand data meaning
  • Check compatibility before using fields in reports

Common Search Terms:

  • “conversion” - Find all conversion-related metrics
  • “product” - Discover product attribute dimensions
  • “cost” - Locate financial metrics
  • “date” - Find temporal dimensions
  • “brand” - Identify brand-related fields

Filter Applications:

  • Filter by metric type for performance analysis
  • Filter by dimension type for segmentation
  • Filter by category for focused discovery
  • Filter by compatibility for specific report types

Tips

Field Discovery:
  • Explore regularly - new fields are added periodically
  • Use search function to quickly find relevant fields
  • Read descriptions carefully to understand data meaning
  • Note compatibility requirements for report building
Report Planning:
  • Start with key metrics then add supporting dimensions
  • Check field compatibility before finalizing report structure
  • Consider data types when planning filters and calculations
  • Document field choices for team consistency
Best Practices:
  • Use field IDs in API calls for consistency
  • Validate field availability before building automated reports
  • Keep field lists updated as new fields become available
  • Share field knowledge across your team
Integration Strategy:
  • Reference field schema when building reports
  • Use for report validation and troubleshooting
  • Combine with actual reporting for complete workflows
  • Document field usage for future reference
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