Google Ads and GitLab Integration

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Automatically create GitLab issues from Google Ads performance dips. Latenode's visual editor makes complex alerting logic simple, while JavaScript nodes extend capabilities for advanced analysis and customized responses.

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Google Ads

GitLab

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Ads and GitLab

Create a New Scenario to Connect Google Ads and GitLab

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 GitLab will be your first step. To do this, click "Choose an app," find Google Ads or GitLab, 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.

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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.

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Run node once

Add the GitLab Node

Next, click the plus (+) icon on the Google Ads node, select GitLab from the list of available apps, and choose the action you need from the list of nodes within GitLab.

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Authenticate GitLab

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

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Configure the Google Ads and GitLab Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Google Ads and GitLab 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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Save and Activate the Scenario

After configuring Google Ads, GitLab, 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 GitLab integration works as expected. Depending on your setup, data should flow between Google Ads and GitLab (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 GitLab

Google Ads + Slack: When a Google Ads campaign is updated, a notification is sent to a dedicated Slack channel to inform developers about the changes.

GitLab + Google Ads + Jira: When a GitLab issue linked to a Google Ads campaign is resolved (e.g., closed), a Jira task is created and linked to the campaign for tracking the impact of the resolved issue on the campaign performance.

Google Ads and GitLab 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.

About GitLab

Use GitLab in Latenode to automate CI/CD pipelines and track code changes. Trigger workflows on commit, issue, or merge requests to update project management tools, send notifications, or provision environments. Simplify development workflows with flexible, low-code automation and scale easily via Latenode.

See how Latenode works

FAQ Google Ads and GitLab

How can I connect my Google Ads account to GitLab using Latenode?

To connect your Google Ads account to GitLab 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 GitLab accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate issue creation from Google Ads spend?

Yes, easily! When Google Ads spend hits a threshold, Latenode can automatically create a GitLab issue, notifying your team to review ad performance. Leverage AI-powered analysis for proactive campaign optimization.

What types of tasks can I perform by integrating Google Ads with GitLab?

Integrating Google Ads with GitLab allows you to perform various tasks, including:

  • Automatically creating GitLab issues for low-performing Google Ads campaigns.
  • Posting Google Ads performance reports to a GitLab project's wiki weekly.
  • Triggering code deployments in GitLab based on successful Google Ads campaigns.
  • Tracking Google Ads spend against development milestones in GitLab.
  • Creating new GitLab branches for landing page A/B tests based on Google Ads data.

HowsecureistheGoogleAdsconnectioninLatenode?

Latenode uses secure authentication protocols like OAuth 2.0 to protect your Google Ads data. Connections are encrypted, and sensitive data is handled securely.

Are there any limitations to the Google Ads and GitLab integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Rate limits imposed by Google Ads and GitLab APIs can affect workflow execution.
  • Historical data migration between the two platforms requires custom scripting.
  • Complex reporting scenarios may necessitate JavaScript or AI-assisted data transformation.

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