What the data for this category looks like
Data for this category typically comes from landing page access logs, user heatmaps, form submission data, and ad source parameters. Daily associated documents include landing page plans, tracking requirement documents, AB test reports, and form field lists. Data update rhythm follows a weekly cycle or is adjusted alongside individual marketing campaigns. Core fields include page path, dwell time, form field filling status, and ad channel identifiers. There are no unified fixed units, and matching requires alignment with specific tracking configurations. The most time-consuming analysis steps focus on page path breakdown, form blockage troubleshooting, and experiment result verification. Data anomalies may lead to lead loss, attribution failure, or increased advertising costs.
What constraints these characteristics impose on the "conversation logs and auditing" workflow
Data sources are scattered and linked to multiple types of business documents. This requires conversation logs to simultaneously bind business fields such as landing page path, ad channel, and form status. Storing only general conversation content cannot meet conversion attribution requirements. Data update rhythm adjusts with campaigns, so logs must support archiving and retrieval by campaign cycle to avoid historical data loss from fixed cycles. Core fields have no unified fixed units, so auditing must match the field definitions of the corresponding tracking configuration, and general field templates cannot be directly applied. The most time-consuming analysis steps require logs to support quick filtering and associated queries to reduce troubleshooting duration. Data anomalies may cause serious business losses, so logs must retain complete conversation links including intermediate parameter transfer details, and avoid truncation of key information.
How to set the configuration
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId association storage switch | Enable, bind ad channel identifiers | Based on the category data including ad source parameters, associate conversations with specific delivery channels to complete conversion attribution |
responseChatItemId log binding | Bind landing page path field | Based on the category's core analysis dimension being page path, associate conversation responses with specific landing pages |
detail field output configuration | Output complete form filling status | Based on the category's need to troubleshoot form blockages, retain form field details passed in conversations |
| Log retention period | Set to campaign cycle + 7 days | Based on the category data updating with campaigns, cover the full campaign cycle for retrospective and cross-cycle attribution |
| Log query timeout threshold | 600 seconds | Based on the category's most time-consuming steps being path analysis and troubleshooting, reserve sufficient time for full log retrieval |
| Context history trigger rule | Trigger by campaign node | Based on the category data update rhythm being weekly or campaign cycle, clear history when switching nodes to avoid cross-campaign interference |
Three common configuration errors
- Phenomenon: The front-end conversation interface outputs incomplete content, no error messages appear in logs, and complete content displays after refreshing the page. Cause: The
detailfield is not configured for full output, or the log retention period does not cover the complete conversation link, resulting in intermediate response fragments not being fully stored. - Phenomenon: Unable to associate
chatIdwith corresponding landing page path and ad channel data, unable to complete conversion attribution. Cause: The switch for bindingchatIdto business fields is not enabled, causing conversation logs to be disconnected from the category's core data. - Phenomenon: Historical conversation records remain after executing context clearing operations in the workflow. Cause: The clearing trigger rule is incorrectly set to trigger by conversation turn, instead of being configured by campaign node as required by the category, resulting in cross-campaign data not being cleared.
How to confirm the configuration is correct
- Initiate a simulated landing page conversion conversation. Verify that the log includes
chatId, landing page path, and ad channel identifiers to confirm the association configuration is effective. - Trigger a simulated form blockage scenario. Verify that the
detailfield completely records the form field filling status and abnormal information. - After switching campaign nodes, initiate a new conversation. Verify that historical conversation records have been cleared to confirm the trigger rule configuration is correct.
- Perform a full log retrieval. Confirm that the query does not trigger a timeout to verify that the timeout threshold configuration is reasonable.
The values provided 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.