What This Category’s Data Looks Like
The data used for in-feed ad creative testing typically comes from ad delivery platforms, internal asset libraries, user interaction data, and conversion data. Daily deliverable documents include creative scripts, asset test sheets, delivery data reports, and iteration checklists. Fields covered include asset type, copy length, delivery time slot, click-through rate, conversion cost, and more. Units include impressions, yuan, characters, hours, and others. Data update cycles follow daily or weekly schedules. Core test data is synced daily. Iteration records are summarized and archived weekly.
Constraints Imposed on Forms and Interactions by These Characteristics
Since data sources are scattered and update cycles are short, connect to external business systems (such as asset libraries, ad delivery platforms) to obtain the latest data. Form nodes only collect input information to avoid using outdated test assets. Split and display multiple document types via external business systems or subsequent workflow nodes. Organize displays into chunks: creative scripts, asset configuration, test variables, and data reporting. This reduces filling complexity. Implement targeted validation rules via external business systems or subsequent workflow nodes. Examples include validating copy length and asset format compliance. Test results directly affect delivery effectiveness. Submission validation and exception handling logic must be implemented via external business systems or subsequent workflow nodes. Cover common issues such as empty fields and format errors to reduce subsequent delivery risks.
How to Configure
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form Input Node formInput | Test example: Select 3 fields from in-feed ad creative testing fields as required inputs; actual fields are determined per task | This node collects user input; required items missing require checking interaction status to avoid subsequent nodes failing to receive complete input |
User Selection Node userSelect | Test example: Set 2 business options, check corresponding branches one by one | This node handles user selection; queries and filtering of in-feed ad creative testing related records must be implemented via subsequent interfaces or external systems |
| Post-Submission Field Passing | Test example: Prepare 10 in-feed ad creative testing input samples, covering complete filling, missing required items, and canceled operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields; result thresholds are determined per actual task |
| External Implementation Item: Form Validation Trigger Timing | Must be implemented separately by external systems; validation logic is implemented by external business systems or subsequent nodes, set to trigger before submission | Intercept non-compliant input in time to avoid invalid test submissions |
| External Implementation Item: Maximum Character Count for Copy Input | Must be implemented separately by external systems; 800–1200 characters | Matches the copy display limit of external in-feed ad platforms; validation logic is implemented by external systems or subsequent nodes |
| External Implementation Item: Batch Submission Threshold | Must be implemented separately by external systems; no more than 20 test groups per submission | Batch submission logic is handled by external business systems or subsequent nodes, adapts to the number of variable combinations in daily testing, avoids data processing overload |
Three Common Mistakes
- After submitting a form related to in-feed ad creative testing, subsequent nodes fail to receive complete fields. Compare required items, actual submission content, and node output mappings one by one, then check subsequent interface returns; existing symptoms alone cannot determine the root cause.
- After submitting a form related to in-feed ad creative testing, subsequent nodes fail to receive complete fields. Compare required items, actual submission content, and node output mappings one by one, then check subsequent interface returns; existing symptoms alone cannot determine the root cause.
- The phenomenon is workflow execution timeout or interruption. Verification steps: Check workflow running logs to confirm the timeout node and time consumption, check the response duration of external system interfaces.
How to Confirm Configuration is Correct
- Confirm that external business systems have transferred asset data to the workflow, and the
userSelectnode can load corresponding options. - Verify that the configuration items of the
userSelectnode correctly associate external incoming asset data, and no abnormal prompts appear after submission. - Submit a test form, and check whether external validation logic or subsequent nodes trigger corresponding prompts when input does not meet requirements.
- Check the batch submission configuration of external business systems or subsequent nodes, and confirm that the number of test groups per submission matches the actual needs of daily testing.
This configuration is based on the form node rules for FastGPT v4.17.0. The values provided are common starting points and should be evaluated against the reader’s own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.