How Zero-Party Data from Genuin’s SDK Powers Brand Communities and Generate Media Revenue
The digital media landscape is increasingly defined by data privacy expectations and personalized user experiences. It’s critical for brands to understand their audiences and monetize their platforms without compromising trust. One approach that’s rapidly gaining traction is the adoption of zero-party data, information that customers intentionally and proactively share. When combined with Genuin’s SDK integrations, zero-party data can power community ecosystems and unlock media revenue streams - without making consumers feel “creeped out” by invasive tracking or data misuse.
What is Zero-Party Data?
Zero-party data is information that a customer actively and willingly shares with a brand. Unlike first-party data (collected through site or app interactions), zero-party data is purposefully provided, often reflecting user preferences, interests, intentions, and feedback.
This kind of data is exceptionally valuable because it represents direct insights into customer motivations and needs, enabling brands to personalize experiences in a transparent, user-controlled way.
Zero-party data differs from traditional data-collection practices because it keeps users firmly in control. Instead of relying on inferred attributes or purchased third-party segments, zero-party data uses explicit and implicit permissions granted directly within the brand ecosystem.
A. Implicit User Permissions & Signals
- Device Information: iDFA (device_id), SHA, UUID, IP Address
- Client Data: Single Sign-On (SSO), login credentials
- User-Generated Profile & Interests: Voluntary details such as birthdate, social handles, and interest selections that personalize their feed
- Community Engagement: Communities joined; videos, groups, profiles, and pages viewed or shared; content “Sparked” (liked); search behavior
- Content Interactions: Posting videos with linkouts, clicking linkouts, reposting content with added thoughts
B. Explicit User Permissions
Where the brand obtains direct permission from users for sensitive access:
- Camera Access
- Microphone Access
- Location Data
- Contact Information
- Photo Gallery Access
- Speech Recognition
C. Brand Context Inputs
- The brand defines assets, categories, topics, personas, and guidelines
- The brand creates communities, groups, and posts
- Placement of community embeds helps shape contextual frameworks for content and ads
Connecting Through Genuin’s SDK
Genuin’s SDK integrates seamlessly across:
- iOS
- Android
- React
- Web
- Flutter
This enables brands to build unified, connected experiences across devices. By collecting and analyzing zero-party data inside these applications, brands gain precise insights into user interests, engagement patterns, and community dynamics.
Personalization Without Overstepping
A common question is:
If the brand doesn’t share additional data with Genuin, how can Genuin enable relevant targeting?
The answer lies in how Genuin processes zero-party data and contextual signals.
A. Advertisers Get Access to Be in Communities
Sponsored communities, groups, and posts benefit from engagement-based context.
Genuin captures contextual interaction data—what users watch, Spark, share, or participate in.
If a group focuses on a specific topic, advertisers can place contextually relevant ads without relying on personal data.
B. Advertisers Can Show Contextually Relevant Programmatic Ads
AdExchanges receive contextual insights via IAB-defined macros, enabling programmatic systems to personalize ads without invading privacy.
Supported custom macros include:
| iAB | Description | Values | Value type |
|---|---|---|---|
| Content Album | Album to which the content belongs | group_name | string |
| Content Keywords | Comma separated list of keywords describing the content | search_query | string |
| Content Production quality | Product quality based on IAB standards | 0 - Unknown; 1 - Professionally Produced; 3 - User Generated (UGC) | integer |
| Content Episode | Episode number | video_name | integer |
| Content Livestream | 0 = not live, 1 = content is live | video_stream_type | integer |
| Content Context | Type of content | 1 - Video (i.e., video file or stream such as Internet TV broadcasts) | integer |
| Content URL | Url of content | video_url | string |
| Content Kwarray | Array of keywords | video_keywords | string array |
| Content Media Rating | Media rating per IQG guidelines | 1 - All Audiences; 2 - Everyone Over Age 12; 3 - Mature Audiences | integer |
| Content Artist | Artist credited with the content | user_name | string |
| Content Producer Domain | Highest level domain of the content producer | White label domain e.g (iheartmedia.begenuin.com) | string |
| Content Genre | Genre that best describes the content | video_description | string |
| Content Series | Content series | group_name | string |
| Content Title | Content Title | video_title | string |
| Content Producer Category | Array of IAB content categories that describe the content producer | community_category | string |
| Content Language | Content language using ISO-639-1-alpha-2. | video_lng | string |
| Content Producer Name | Content producer or originator name | community_name | string |
| Content Season | Content season | group_name | string |
| Content Lang | Content language using IETF BCP 47. | video_lng | string |
| Content Embeddable | Indicator of whether the content is embeddable | 1 - For embed; 0 - white label or SDK | integer |
| Content Channel Name | Channel the content is on | brand_name | string |
| Content Length | Length of content in seconds | video_length | integer |
These macros help programmatic ecosystems deliver contextual and topic-relevant ads without using personal identifiers.
C. User Experience Personalization
Feed personalization is driven by:
- Recency of Content – fresh content surfaces first
- User Interest – aligned with explicit and implicit signals
- Popularity – highly-engaged content rises based on collective patterns
This creates a dynamic but privacy-respecting personalization model.
How Advertisers Benefit Without Intrusion
A key point is that Genuin itself does not perform the ad targeting. Instead, it enables advertisers through AdExchanges with macros - metadata or contextual signals that can be leveraged by downstream Demand-Side Platforms (DSPs) and Supply-Side Platforms (SSPs).
This enables:
Type 1 Access:
Advertisers gain access in relevant brand communities and groups focused on topics, keywords, or contexts that match the advertiser’s desired audience segments.
Type 2 Access:
Advertisers can utilize macros defined by IAB through AdExchanges to programmatically run ads targeting context or topically engaged communities, ensuring relevance without relying on invasive personal identifiers.
No Need for Additional User Data Sharing
Brands do not need to share historical or fresh user-level data with Genuin or advertisers.
Genuin simply provides raw engagement data back to the brand, preserving full transparency and ownership.
This creates a two-way, privacy-respecting model in which:
- Brands maintain data control
- Users retain trust
- Advertisers gain contextual relevance
Building a Privacy-Safe Revenue Model
By focusing on zero-party data and context rather than intrusive tracking, brands can foster vibrant community ecosystems, increase engagement, and drive media revenue. Meanwhile, users enjoy transparency, control, and a genuine value exchange.
In essence, zero-party data powered by Genuin’s SDK framework gives brands a path to build trustworthy, high-engagement communities—ones driven by authenticity, user empowerment, and contextual relevance, rather than opaque data practices that undermine consumer confidence.