Google Ads and Amazon Redshift Integration

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Google Ads

Amazon Redshift

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Ads and Amazon Redshift

Create a New Scenario to Connect Google Ads and Amazon Redshift

In the workspace, click the β€œCreate 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 Amazon Redshift will be your first step. To do this, click "Choose an app," find Google Ads or Amazon Redshift, 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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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.

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Connect Google Ads

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Run node once

Add the Amazon Redshift Node

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

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Amazon Redshift

Authenticate Amazon Redshift

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

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Configure the Google Ads and Amazon Redshift 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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Amazon Redshift Oauth 2.0

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The action ID

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Run node once

Set Up the Google Ads and Amazon Redshift 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, Amazon Redshift, 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 β€œRun once” and triggering an event to check if the Google Ads and Amazon Redshift integration works as expected. Depending on your setup, data should flow between Google Ads and Amazon Redshift (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 Amazon Redshift

Google Ads + Amazon Redshift + Google Sheets: Create a report in Google Ads, then insert the data into Amazon Redshift. Finally, add the data to Google Sheets for visualization and weekly reports.

Amazon Redshift + Google Ads + Slack: When new rows are added to Amazon Redshift indicating underperforming Google Ads campaigns (based on conversion data), send a Slack message to the marketing team.

Google Ads and Amazon Redshift 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 Amazon Redshift

Use Amazon Redshift in Latenode to automate data warehousing tasks. Extract, transform, and load (ETL) data from various sources into Redshift without code. Automate reporting, sync data with other apps, or trigger alerts based on data changes. Scale your analytics pipelines using Latenode's flexible, visual workflows and pay-as-you-go pricing.

See how Latenode works

FAQ Google Ads and Amazon Redshift

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

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

Can I automate storing Google Ads spend data in Redshift?

Yes, you can. Latenode enables this with a no-code interface and optional JS. Benefit: optimize ad campaigns by visualizing data for quick, impactful decisions, improving ROI.

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

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

  • Automating data warehousing for Google Ads campaign performance metrics.
  • Creating custom dashboards for real-time Google Ads reporting in Redshift.
  • Triggering alerts based on anomalies in Google Ads data stored in Redshift.
  • Enriching Google Ads data with other data sources within Amazon Redshift.
  • Performing advanced analysis of ad spend and ROI using Redshift's capabilities.

How secure is my Google Ads data when using Latenode?

Latenode employs enterprise-grade security measures, including encryption and access controls, to protect your Google Ads data at all times.

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

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

  • Initial data synchronization may take time depending on the dataset size.
  • Complex data transformations might require custom JavaScript coding.
  • Rate limits imposed by Google Ads and Amazon Redshift still apply.

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