What the data for this category looks like
The core daily documents for search ad keyword management include four types: keyword lists, negative keyword tables, bid records, and search term reports. Data mainly comes from search ad backends, search term reports, bidding ranking data, and landing page data, with a daily or weekly update frequency. File fields include keyword text, matching mode, bid amount, negative keyword type, conversion data, and others. Bid amount is measured in yuan. Keyword text length is mostly 1 to 20 characters, with some extended keywords reaching up to 50 characters.
What constraints these characteristics impose on the "workflow orchestration" link
Since data sources are mostly structured files exported from backends, and update frequencies are fixed, workflows must support scheduled triggering or external file receiving triggering modes. Fields differ across documents, so a field mapping link must be configured in the workflow to avoid data reading errors. Meanwhile, keyword expansion, negative keyword filtering, and bid matching adjustment are the most time-consuming links. Workflows must split nodes for execution to avoid single-request timeouts. Additionally, occasional format abnormalities exist in data, so a verification link must be configured to filter invalid records and prevent errors in subsequent links.
How to set the configurations
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
| Trigger timing | Scheduled daily triggering, or triggering after receiving backend exported files | Matches the daily/weekly update frequency of search ad data |
| Single processing volume | 200-500 items per run | Adapts to the single-batch processing scale of search ad data, avoiding node overload |
variables binding scope | Bind field mappings for keyword lists and negative keyword tables | Associate fields across different documents to ensure nodes read target data |
| Single execution timeout | 600 seconds | Covers the time required for batch processing large volumes of keyword data |
| Failure retry count | 2 times | Addresses occasional network fluctuations or format abnormalities in backend exported data |
| Pre-verification switch | Enabled | Filters invalid keyword records to prevent errors in subsequent links |
Three common mistakes
- Symptom: The keyword field bound by
variablesin the workflow is empty, and the node outputs no valid data. Cause: The field correspondence between search term reports and keyword lists was not correctly mapped, causing variables to fail to read target columns. - Symptom: The loop body cannot obtain external variables, and the workflow execution interrupts with a prompt that the variable was not found. Cause: External variables were not configured as globally accessible, causing loop nodes to fail to read context parameters.
- Symptom: Workflow execution times out, returning status code 504. Cause: The number of keyword records processed in a single run exceeds the system limit, and batches were not split for execution.
How to confirm the configuration is complete
- Run a test workflow once, check whether the fields output by each node match the column names of keyword lists and negative keyword tables.
- View workflow logs in FastGPT v4.17.0, confirm that no null values or format errors appear in the parameters bound by
variables. - Simulate batch data import to verify that node execution duration does not exceed the preset timeout threshold.
- Trigger the scheduled task, confirm that the workflow starts automatically according to the daily/weekly update frequency.
The values provided here are common starting points and should be measured 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.