How to connect Google Ads and Clockify
Create a New Scenario to Connect Google Ads and Clockify
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 Clockify will be your first step. To do this, click "Choose an app," find Google Ads or Clockify, 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 Clockify Node
Next, click the plus (+) icon on the Google Ads node, select Clockify from the list of available apps, and choose the action you need from the list of nodes within Clockify.

Google Ads
⚙

Clockify

Authenticate Clockify
Now, click the Clockify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Clockify settings. Authentication allows you to use Clockify through Latenode.
Configure the Google Ads and Clockify 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 Clockify 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
⚙
AI Anthropic Claude 3
⚙

Clockify
Trigger on Webhook
⚙
Google Ads
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google Ads, Clockify, 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 Clockify integration works as expected. Depending on your setup, data should flow between Google Ads and Clockify (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 Clockify
Google Ads + Clockify + Google Sheets: Create a report in Google Ads to track ad spend. Then, for each campaign, find corresponding time entries in Clockify. Finally, log the ad spend and tracked time data into a new row in Google Sheets to create a consolidated report.
Clockify + Google Ads + Slack: When a new time entry is created in Clockify, find the associated Google Ads campaign. If the tracked time for the campaign exceeds a predefined limit, send a notification to the marketing team in Slack.
Google Ads and Clockify 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.
Similar apps
Related categories

About Clockify
Track work hours in Clockify and automate reporting within Latenode. Log time entries, then trigger automated invoice creation, project updates, or performance dashboards. Centralize time tracking data in your workflows and reduce manual data entry. Use AI tools to analyze time data and optimize project timelines.
Similar apps
Related categories
See how Latenode works
FAQ Google Ads and Clockify
How can I connect my Google Ads account to Clockify using Latenode?
To connect your Google Ads account to Clockify on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Ads and Clockify and click on "Connect".
- Authenticate your Google Ads and Clockify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track ad spend against project time?
Yes! Latenode allows you to automatically track Google Ads spend alongside Clockify time entries, providing cost insights. Leverage no-code blocks and JS steps for custom analysis and scaling.
What types of tasks can I perform by integrating Google Ads with Clockify?
Integrating Google Ads with Clockify allows you to perform various tasks, including:
- Automatically log Google Ads campaign time in Clockify projects.
- Generate reports comparing ad spend to time spent on projects.
- Trigger Clockify time tracking based on Google Ads campaign events.
- Send alerts when ad spend exceeds a set time tracking budget.
- Sync Google Ads conversion data to Clockify for ROI calculation.
Can I use Javascript to transform Google Ads data in Latenode?
Yes, you can use Javascript to transform Google Ads data within Latenode workflows. This allows custom data processing and enhanced integration capabilities.
Are there any limitations to the Google Ads and Clockify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time data syncing depends on the API request limits of Google Ads and Clockify.
- Historical data migration might require custom scripting for large datasets.
- Advanced reporting features require familiarity with data transformation techniques.