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Welcome to Datagrid
Welcome to Datagrid
Google Analytics

Google Analytics

Google Analytics is a web analytics service that tracks and reports website traffic. By connecting Google Analytics to Datagrid, you can seamlessly integrate your website data with other business-critical information, enabling enhanced reporting, analysis, and decision-making.

1. How-to

1. Prerequisites

To configure the Google Analytics connector, follow these steps:

  • A Google Analytics account with administrative access.
  • A Google Cloud Project with the Google Analytics API enabled.
  • OAuth 2.0 credentials (Client ID and Client Secret) for your Google Cloud Project.
  • Select the data you want to import into Datagrid

2. Connect

Creating a dataset from the Google Analytics connector involves selecting the specific data you want to import:

  1. Connect Google Analytics App: a. Click on the "+ Create” Button on the top left of the screen. b. Select the "Connect Apps" item. c. Search for the Google Analytics connector from the list. d. Login with your Google account. Google may prompt you to authorize Datagrid's access to your data. Grant the necessary permissions to proceed. e. Click on the “Next” button.
  2. Pick your Data: a. Pick the Google Analytics data you want to include in your dataset (e.g., Sessions, Users, Pageviews). b. Click on the “Start First Import” Button to start syncing your Google Analytics dataset.

3. Set Up a Schedule

Scheduling regular data pulls ensures your Datagrid datasets remain up-to-date with the latest information from Google Analytics:

  1. Navigate to Google Analytics Dataset: a. Go to the left side panel and locate and click on the Google Analytics dataset you created.
  2. Schedule Settings: a. Click on the “...” on the top right of the dataset. b. Click on “Edit Pipeline” to edit your connector's name. c. Click the “Schedule” button on the right, beside the “Import Configuration” button.
  3. Configure Schedule: a. Set the desired frequency for data pulls (e.g., daily, weekly, monthly). b. Specify the time of day for the data pull to occur. c. Specify downtime if needed – when the sync should not happen. d. Click the “Update” button to update the new configuration.

4. Data Access

  • AccountSummaries
  • Accounts
  • Properties
  • ConversionEvents
  • CustomDimensions
  • CustomMetrics
  • DataStreams
  • MeasurementProtocolSecrets
  • FirebaseLinks
  • GoogleAdsLinks
  • KeyEvents
  • AccessBindings
  • AdSenseLinks
  • Audiences
  • BigQueryLinks
  • CalculatedMetrics
  • ChannelGroups
  • EventCreateRules
  • EventEditRules
  • SKAdNetworkConversionValueSchema
  • DisplayVideo360AdvertiserLinkProposals
  • DisplayVideo360AdvertiserLinks
  • ExpandedDataSets
  • RollupPropertySourceLinks
  • SearchAds360Links
  • SubpropertyEventFilters

5. Use Cases

  • Website Performance Monitoring: Track key website metrics such as pageviews, bounce rate, and conversion rate to identify areas for improvement.
  • Marketing Campaign Analysis: Analyze the performance of your marketing campaigns by tracking traffic sources, conversions, and return on ad spend (ROAS).
  • Audience Segmentation: Segment your website audience based on demographics, interests, and behavior to personalize marketing messages and improve engagement.
  • E-commerce Tracking: Track e-commerce transactions, product performance, and customer behavior to optimize your online store and increase sales.

6. FAQ

Q: What is Google Analytics? A: Google Analytics is a web analytics service that tracks and reports website traffic.

Q: What type of data can I import from Google Analytics? A: You can import website traffic data, marketing campaign data, audience data, and e-commerce data.

Q: How often can I schedule data pulls from Google Analytics? A: You can schedule data pulls daily, weekly, or monthly.

7. Support & Additional Resources