Begin by thoroughly understanding the data structures in both Chargebee and Convex. Identify the key data types and fields you need to transfer. Document these structures to facilitate accurate mapping between the two systems.

Use Chargebee's native export functionality to extract the necessary data. Navigate to the Chargebee dashboard, and access the required data sections such as subscriptions, invoices, or customer records. Use the export option to download the data in a CSV or JSON format.

Once you have the exported files, open them in a CSV editor or a JSON viewer. Clean and format the data to fit the required structure of Convex. This may involve renaming columns, changing data types, or removing unnecessary fields to align with Convex's requirements.

If you haven't already, set up a Convex environment to receive the data. This involves creating an account and setting up the necessary databases and collections that mirror the structure of the incoming Chargebee data.

Develop a script using a programming language like Python, Node.js, or JavaScript to read the prepared CSV/JSON data and insert it into Convex. Use Convex's APIs to authenticate and perform data insertion operations. Ensure that the script handles errors and logs progress for troubleshooting.

Before executing a full data transfer, run a test using a small sample of your data. Verify that the data is correctly inserted into Convex without any loss or corruption. Check for any discrepancies or errors and adjust your script as necessary.

After successful testing, run the script to transfer the entire dataset from Chargebee to Convex. Monitor the process to ensure successful completion. Once completed, conduct a thorough review of the data in Convex to confirm accuracy and completeness.

By following these steps, you can efficiently move data from Chargebee to Convex without relying on third-party connectors, ensuring control and accuracy throughout the migration process.