This document is written based on the configuration logic of FastGPT v4.17.0.
What the data for this category looks like
The core users of landing page conversion optimization are growth product teams, front-end operations staff, and ad optimizers. Business data mainly comes from landing page access logs, heatmaps, form data, and ad source parameters. Daily supporting documents include landing page plans, tracking requirements, AB test reports, and form field lists.
Data update frequency is weekly or per single campaign. Core fields include page path, dwell time, form submission status, ad channel identifiers, and others. Field units are mostly seconds, records, and characters. There is no unified fixed aggregation format, and adjustments must be made dynamically based on the tracking rules for each campaign.
What constraints do these characteristics impose on HTTP interfaces and external systems
Since data sources include front-end tracking and back-end logs, HTTP interfaces must support multiple request body formats and authentication rules. Data updates weekly or per campaign, so cache and polling strategies for interfaces must align with business adjustment rhythms to avoid data deviation caused by expired caches.
The tracking requirements and form field lists in documentation require interfaces to support custom parameter passing, so fixed fields alone cannot be used. Additionally, interface failures directly lead to lead loss and inability to attribute data, so complete retry and alert mechanisms must be configured to ensure the stability of data collection and conversion pipelines.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer ${custom system token} | Implements authentication when connecting to external landing page systems, preventing unauthorized access |
variables | {"page_path": "", "form_status": "", "ad_channel": ""} | Matches form fields and ad source parameters for landing page conversion optimization, passing business context |
responseData | Top 5 conversion-related records | The core data volume for landing page conversion optimization is limited; excessive data increases interface load and parsing time |
| Interface timeout threshold | 30–60 seconds | Aligns with the waiting tolerance of landing page users, avoiding lead loss from timeouts |
| Request retry count | 1–2 times | Avoids duplicate submission of form data, complying with business compliance requirements for landing page conversion |
| Request body size limit | 800–1200 KB | Matches the typical size of landing page form data and logs, preventing request truncation |
Three common mistakes
- The symptom is a timeout error when calling the HTTP interface. The cause is that the interface timeout threshold is set too short, failing to match the collection delay of landing page logs.
- The symptom is an
Invalid URLerror returned by the interface. The cause is that the access address of the external system is not configured correctly, and it does not match the data source path rules for landing page conversion optimization. - The symptom is that the interface automatically carries a
Bearertoken, which does not meet the authentication requirements of the external system. The cause is that the generation rules for theAuthorizationparameter are not configured correctly, causing FastGPT to automatically supplement the token.
How to confirm the configuration is correct
- Send a test request, check if the
Authorizationheader correctly carries the custom token, and verify that the authentication process is active. - View the
responseDatareturned by the interface to confirm that it includes the preset business fields, verifying that the data transfer format meets requirements. - Simulate a landing page form submission action to trigger an interface call, check that there are no timeouts or error messages, and confirm that the external system can receive data normally.
- Cross-reference the landing page tracking requirement documentation to confirm that the
variablesparameter passed by the interface fully matches the field list in the documentation.
The values provided here are common starting points and should be measured against the user'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.