Alright, let's get started by creating a collection in Adalo to store your real-time data. This could be anything from user inputs to sensor readings or even chat messages.

1. Head over to the Database tab.
2. Click on "Add Collection" to whip up a new data collection.
3. Define the fields in the collection based on the type of data you're planning to handle.

If your real-time data is coming from an external source or an API, here's what you need to do:

1. Navigate to the "Integrations" tab in your Adalo project.
2. Select the option to add a new external collection.
3. Enter the API details, including Endpoints, Headers, and Authentication keys.
4. Map the fields from the API response to the fields in your Adalo collection.

For those real-time updates, Web Sockets might be the way to go. If your API supports Web Sockets:

1. Include Web Socket integration in the API setup.
2. Make sure the Web Socket updates the Adalo collection in real-time by sending and receiving data through the established Web Socket.

Now, let's use Adalo's built-in functions to display your data:

1. Drag and drop the necessary components (like lists, forms, etc.) onto your app screen.
2. Bind these components to your Adalo collection.
3. Ensure that the data displayed is sourced from your real-time updated collection.

1. Use Adalo's actions to trigger real-time data updates. For instance, if you have a chat application:
       - Set up form submissions to add new messages to the collection.
       - Use visibility rules and automatic refresh options to keep the UI updated.
2. If you're using external APIs, make sure triggers are set up to listen to Web Socket events and refresh data.

1. Run the app preview to check if the real-time data is being correctly updated and displayed.
2. Debug any issues related to data rendering and API integration.
3. Ensure real-time interactions (like chat messages or live sensor updates) show up without needing a manual refresh.

Optimize your app for handling real-time data:

1. Test for latency and ensure that Web Socket connections are reliable.
2. Monitor the app’s performance concerning real-time data update frequency.
3. Adjust data fetch intervals and limit the amount of data being processed in real-time if performance issues arise.

For a better user experience, make sure that the data is smoothly accessible and immediately reflected in the UI. This minimizes wait times and delivers a snappier interface.