Begin by setting up access to the Intercom API. You will need to create an Intercom Developer App in your Intercom account. This will provide you with the necessary API keys and tokens. Secure these credentials as they will be used to authenticate and fetch data from Intercom.

Decide on a programming language that you are comfortable with, such as Python, Node.js, or Ruby. This language will be used to write a script that interacts with both the Intercom API and the Redis database.

Use the Intercom API to fetch the data you need. This could be user data, conversation data, etc. Use the appropriate API endpoints and ensure that you handle pagination if you need to fetch large datasets. For example, in Python, you can use the `requests` library to make HTTP GET requests to fetch data.

Install a Redis client library for your chosen programming language to interact with your Redis instance. For Python, you can use `redis-py`, for Node.js, you can use `ioredis`, and for Ruby, use `redis-rb`. This library will enable you to connect to and manipulate your Redis database.

Establish a connection to your Redis database using the client library. You will need the Redis server's hostname, port, and optionally a password if authentication is required. Confirm the connection is successful before proceeding to data insertion.

Transform the fetched Intercom data into a format suitable for Redis storage. Redis commonly uses key-value pairs, so you may need to map and flatten JSON data accordingly. For instance, user data could be stored with the user ID as the key and user details as the value.

Use the Redis client library to insert the transformed data into Redis. You can use commands like `SET` or `HMSET` for storing data. Ensure that you handle data types correctly and manage any potential errors during the data insertion process to ensure data integrity.

By following these steps, you can effectively move data from Intercom to Redis without relying on third-party connectors or integrations.