How Can You Connect BigQuery to the Brand Control Center to Receive Zero-Party Data?

As brands increasingly focus on privacy-safe data strategies, having access to structured analytics and engagement insights becomes essential. One of the most effective ways to manage and analyze this data is through cloud-based analytics platforms.

The Brand Control Center allows brands to connect directly with Google BigQuery, enabling secure delivery of zero-party data into their data warehouse for advanced analysis.

This integration allows brands to store, analyze, and activate user engagement insights collected from their community ecosystem, while maintaining full control over data ownership.

What Is BigQuery Integration?

Google BigQuery is a scalable data warehouse solution within Google Cloud designed for structured data storage and analytics.

By connecting BigQuery with the Brand Control Center, brands can:

• Store structured engagement data from the platform
• Analyze community behavior and interactions
• Build dashboards and analytics pipelines
• Integrate insights with other marketing or BI systems

Once connected, Genuin automatically exports zero-party engagement data into the configured dataset.

What Is Zero-Party Data?

Zero-party data refers to information that users intentionally share with a brand.

Unlike third-party tracking or inferred behavioral data, zero-party data is provided directly by the user, making it highly reliable and privacy-friendly.

Examples of zero-party data include:

• User preferences
• Interests and topics followed
• Community participation
• Content engagement
• Voluntary profile information

Because the user knowingly shares this information, it creates a transparent data exchange between brands and consumers.

What Types of Zero-Party Data Are Captured?

The Genuin ecosystem captures several forms of privacy-safe signals.

Implicit User Permissions and Signals

These signals are generated through normal platform interactions.

Examples include:

Device Information

• Device ID (IDFA, UUID, SHA)
• IP Address

Client Data

• Single Sign-On authentication
• Login credentials

User Profile Data

• Birthdate
• Social handles
• Selected interests

Community Engagement Signals

• Communities or groups joined
• Videos viewed or shared
• Content interactions such as Sparks (likes)
• Searches performed inside the platform

Content Interactions

• Posting videos
• Reposting videos with commentary
• Clicking linkouts inside posts

Explicit User Permissions

Some data requires explicit consent from users.

These permissions are requested directly through the application.

Examples include:

• Camera access
• Microphone access
• Location data
• Contact information
• Photo gallery access
• Speech recognition

These permissions are always granted by users voluntarily.

Brand Context Inputs

Brands also contribute contextual signals that shape how content and ads appear.

Examples include:

• Brand assets and categories
• Audience personas
• Content guidelines
• Communities and groups created by the brand
• Content placement configurations

Together, these inputs create a contextual framework for engagement and advertising.

How Do You Configure BigQuery Permissions?

Before connecting BigQuery with the platform, you must configure access within your Google BigQuery environment.

Step 1: Create a Service Account

Open your Google Cloud console.

Create a Service Account that will be used for the integration.

After creating the account, click Edit Permissions.

Step 2: Assign the Required Role

Assign the following role to the service account:

Role: BigQuery Data Editor

This permission allows the integration to create and update tables inside your dataset.

Step 3: Set Permission Conditions

Configure permission conditions as follows.

Condition 1

Service > is > bigquery.googleapis.com

Condition 2

Name > Starts with > projects/<project_name>/<dataset_name>

This ensures that the integration has restricted access only to the intended dataset.

How Do You Connect BigQuery to the Brand Control Center?

Once permissions are configured, you can connect your BigQuery dataset from the Brand Control Center.

Step 1: Log Into the Brand Control Center

Access your platform dashboard and log in to your account.

Step 2: Navigate to Data Sources

Open the following path:

Settings > Data Sources > BigQuery

This section manages all data warehouse integrations.

Step 3: Select the Account Type

You will be asked to choose one of two connection methods.

User Account Connection

For this method:

1. Enter the Dataset ID in the format: project_name.dataset_name
2. Select the data transfer frequency:

• Daily
• Weekly
• Monthly

3. Click Sign in with Google to authorize the connection.

Service Account Connection

If you choose the Service Account method:

1. Upload the JSON authentication file for the service account.
2. Enter the dataset name.
3. Click Connect.

Once authentication is successful, the integration is activated.

What Happens After the Connection Is Established?

When the integration is successfully completed, the system automatically creates a table in your dataset.

Table Name - genuin_data

This table receives structured data from the platform based on the defined schema.

All future engagement data collected through the platform will be delivered to this table according to the configured schedule.

Can You Disconnect BigQuery Later?

Yes. The connection can be disabled at any time.

To disconnect:

1. Open the BigQuery integration settings.
2. Click Disconnect.
3. Confirm the disconnection request.

After disconnection:

• New data will no longer be sent to BigQuery
• Previously exported data remains stored in your dataset

A confirmation notification appears once the process is complete.

How Does Genuin Use Zero-Party Data for Personalization?

The platform uses zero-party signals to power content personalization and contextual advertising without invasive tracking.

Key factors driving personalization include:

• Content Recency: Recent posts and videos appear first in user feeds.
• User Interests: Content aligns with topics users have explicitly or implicitly expressed interest in.
• Community Popularity: Posts receiving high engagement from the community surface more frequently.

This approach ensures that personalization is driven by community activity rather than intrusive user profiling.

How Advertisers Benefit Without Invasive Tracking?

The platform does not directly target individual users with ads.

Instead, advertisers gain contextual access through programmatic ecosystems.

Ad placements can be influenced using IAB-defined macros, which provide contextual metadata such as:

• Content keywords
• Video title and description
• Community category
• Content language
• Content duration
• Producer domain

This metadata allows demand platforms to place contextually relevant advertisements without accessing personal user data.

Building a Privacy-Safe Data Ecosystem

By connecting Google BigQuery with the Brand Control Center, brands gain direct access to valuable engagement insights while maintaining a privacy-first data strategy.

Using zero-party data collected through the Genuin SDK, organizations can:

• Understand community engagement patterns
• Personalize content experiences
• Enable contextual advertising
• Build trusted relationships with their audience

This approach ensures that brands can generate media revenue and deliver meaningful experiences without compromising user privacy or trust.