How to connect Google Cloud Speech-To-Text and Facebook Conversions
Create a New Scenario to Connect Google Cloud Speech-To-Text and Facebook Conversions
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud Speech-To-Text, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Speech-To-Text or Facebook Conversions will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Facebook Conversions, and select the appropriate trigger to start the scenario.

Add the Google Cloud Speech-To-Text Node
Select the Google Cloud Speech-To-Text node from the app selection panel on the right.

Google Cloud Speech-To-Text
Configure the Google Cloud Speech-To-Text
Click on the Google Cloud Speech-To-Text node to configure it. You can modify the Google Cloud Speech-To-Text URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Facebook Conversions Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Facebook Conversions from the list of available apps, and choose the action you need from the list of nodes within Facebook Conversions.

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Authenticate Facebook Conversions
Now, click the Facebook Conversions node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Facebook Conversions settings. Authentication allows you to use Facebook Conversions through Latenode.
Configure the Google Cloud Speech-To-Text and Facebook Conversions Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud Speech-To-Text and Facebook Conversions Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Facebook Conversions
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Facebook Conversions, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Cloud Speech-To-Text and Facebook Conversions integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Facebook Conversions (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Speech-To-Text and Facebook Conversions
Google Cloud Speech-To-Text + Facebook Conversions + Google Ads: Analyze audio from customer calls using Google Cloud Speech-To-Text, then send offline conversions to Google Ads and Facebook Conversions to improve ad targeting based on call feedback.
Typeform + Google Cloud Speech-To-Text + Facebook Conversions: When a new submission is received in Typeform, transcribe the audio responses using Google Cloud Speech-To-Text, and then send the transcribed data as an event to Facebook Conversions to optimize audience targeting.
Google Cloud Speech-To-Text and Facebook Conversions integration alternatives
About Google Cloud Speech-To-Text
Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.
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About Facebook Conversions
Use Facebook Conversions in Latenode to automate ad campaign optimization. Track results, update audiences, and manage bids based on real-time data – all within automated workflows. React to events and trigger actions across any integrated app for higher ROI. Scale personalized marketing without complex code.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Facebook Conversions
How can I connect my Google Cloud Speech-To-Text account to Facebook Conversions using Latenode?
To connect your Google Cloud Speech-To-Text account to Facebook Conversions on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Speech-To-Text and click on "Connect".
- Authenticate your Google Cloud Speech-To-Text and Facebook Conversions accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track ad conversions from voice searches?
Yes, you can! Latenode enables this by connecting voice data to Facebook Conversions, helping measure campaign effectiveness, and optimize ad spend based on spoken keywords.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Facebook Conversions?
Integrating Google Cloud Speech-To-Text with Facebook Conversions allows you to perform various tasks, including:
- Log voice search keywords as Facebook conversion events.
- Trigger custom audiences based on spoken phrases.
- Analyze voice data to improve ad targeting on Facebook.
- Attribute conversions to specific voice search campaigns.
- Create personalized ad experiences based on voice input.
How does Latenode handle large Google Cloud Speech-To-Text files?
Latenode efficiently processes large files using optimized streaming and serverless functions, ensuring scalability and reliable Google Cloud Speech-To-Text data flow.
Are there any limitations to the Google Cloud Speech-To-Text and Facebook Conversions integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time transcription is subject to Google Cloud Speech-To-Text's processing speed.
- Custom audience updates on Facebook have processing delays.
- Data privacy regulations must be adhered to when handling voice data.