How to connect Google Ads and Ocean.io
Create a New Scenario to Connect Google Ads and Ocean.io
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 Ads, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Ads or Ocean.io will be your first step. To do this, click "Choose an app," find Google Ads or Ocean.io, and select the appropriate trigger to start the scenario.

Add the Google Ads Node
Select the Google Ads node from the app selection panel on the right.

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

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Ocean.io
Authenticate Ocean.io
Now, click the Ocean.io node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Ocean.io settings. Authentication allows you to use Ocean.io through Latenode.
Configure the Google Ads and Ocean.io 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 Ads and Ocean.io 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.

JavaScript
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AI Anthropic Claude 3
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Ocean.io
Trigger on Webhook
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Google Ads
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Ads, Ocean.io, 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 Ads and Ocean.io integration works as expected. Depending on your setup, data should flow between Google Ads and Ocean.io (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Ads and Ocean.io
Google Ads + Ocean.io + Slack: When a new lead is generated from a Google Ads campaign, Ocean.io enriches the lead's information. If the lead meets specific criteria, a notification is sent to the sales team in Slack to enable quick follow-up.
Ocean.io + Google Ads + Salesforce: When Ocean.io identifies a qualified lead, the automation adds the lead to a specific Google Ads customer list for retargeting and creates a corresponding lead record in Salesforce for tracking and management.
Google Ads and Ocean.io integration alternatives
About Google Ads
Use Google Ads in Latenode to automate campaign management and reporting. Pull ad performance data, adjust bids based on real-time events, or trigger alerts for budget changes. Combine with other apps to build custom marketing workflows. Latenode's flexibility avoids rigid, pre-built integrations and costly per-step pricing.
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About Ocean.io
Use Ocean.io in Latenode to enrich lead data and target outreach. Identify ideal customer profiles automatically and pass qualified leads into your CRM or sales sequences. Latenode lets you add custom logic, filter leads, and trigger actions based on Ocean.io insights, creating scalable lead gen workflows without code.
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See how Latenode works
FAQ Google Ads and Ocean.io
How can I connect my Google Ads account to Ocean.io using Latenode?
To connect your Google Ads account to Ocean.io on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Ads and click on "Connect".
- Authenticate your Google Ads and Ocean.io accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Ocean.io leads based on Google Ads conversions?
Yes, you can! Latenode allows you to seamlessly update lead information in Ocean.io based on Google Ads conversion data, ensuring your sales team always has the freshest, most relevant lead details.
What types of tasks can I perform by integrating Google Ads with Ocean.io?
Integrating Google Ads with Ocean.io allows you to perform various tasks, including:
- Create new leads in Ocean.io from qualified Google Ads conversions.
- Update lead scores in Ocean.io based on Google Ads campaign interactions.
- Trigger personalized email sequences in Ocean.io for high-performing ad audiences.
- Segment Ocean.io leads using Google Ads demographic data.
- Send Google Ads conversion data to Ocean.io for enhanced reporting.
How can I track Google Ads spend directly within Ocean.io?
Using Latenode, automatically sync Google Ads cost data to Ocean.io for real-time ROI analysis. Enhance your sales insights with accurate ad spend details.
Are there any limitations to the Google Ads and Ocean.io integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google Ads and Ocean.io may affect high-volume data transfers.
- Custom field mapping beyond standard lead attributes requires JavaScript nodes.
- Historical data synchronization may require manual configuration for large datasets.