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
Field | Type | Required | Description |
---|---|---|---|
Field Type Filter | Multi-select | No | Filter by field type (metric/dimension) |
Search Terms | Text | No | Keywords to search field names or descriptions |
Category Filter | Multi-select | No | Filter by field category |
Field Type Options
Type | Description | Use Case |
---|---|---|
Metrics | Measurable values (clicks, revenue) | Performance analysis |
Dimensions | Descriptive attributes (product, date) | Data segmentation |
Both | All available fields | Complete schema discovery |
Field Categories
Category | Description | Example Fields |
---|---|---|
Performance | Traffic and engagement metrics | Clicks, Impressions, CTR |
Financial | Revenue and cost metrics | Revenue, Cost, ROAS |
Product | Product-specific attributes | Product ID, Brand, Category |
Geographic | Location-based dimensions | Country, Region, City |
Temporal | Time-based dimensions | Date, Week, Month |
Campaign | Shopping campaign data | Campaign, Ad Group |
Output
Returns comprehensive field schema information:Field Properties:
Property | Description |
---|---|
field_id | Unique identifier for API usage |
field_name | Human-readable field name |
field_type | Metric or dimension classification |
data_type | Data format (integer, string, currency, date) |
category | Functional grouping |
description | Detailed field explanation |
is_filterable | Can be used in report filters |
is_sortable | Can be used for report sorting |
compatibility | Which reports support this field |
example_values | Sample data for understanding |
Credit Cost
- Cost per run: 0 credits (Free)
Common Workflows
Report Planning: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:Data Exploration
Discover available data points:Report Troubleshooting
Fix report configuration issues:Team Training
Educate team on available data:Field Selection Guide
For Performance Analysis:
Essential metrics:clicks
- Traffic measurementimpressions
- Visibility trackingctr
- Efficiency metricconversions
- Success measurementconversion_rate
- Performance indicator
For Financial Analysis:
Revenue-focused metrics:conversion_value
- Total revenuecost
- Advertising spendroas
- Return on investmentcpc
- Cost efficiencyrevenue_per_click
- Value metric
For Product Analysis:
Product-specific dimensions:product_title
- Product identificationbrand
- Brand performancecategory
- Category analysisproduct_type
- Classificationcondition
- Product condition
For Trend Analysis:
Time-based dimensions:date
- Daily trendsweek
- Weekly patternsmonth
- Monthly comparisonquarter
- Seasonal analysisyear
- 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
- 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
- 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
- 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