Givsly has expanded its AI-powered Values-Based Audiences solution into political advertising, giving campaigns and political media buyers a way to segment audiences around values, issues and behavioral signals rather than relying exclusively on traditional demographic characteristics.

The solution uses a vector-based methodology to create audience segments from values, inferred motivations and behavioral signals. Givsly says the audiences are modeled at the ZIP code level using aggregated community-level signals rather than individual voter files.

The approach is designed to help political campaigns identify differences in what communities prioritize. More than 150 tracked values, issues and cultural signals can be used to develop audience segments, including interests related to healthcare, education policy, public safety, attitudes toward AI, green mandates, energy dominance and civic engagement.

Rather than assigning characteristics to individual voters, the platform statistically models communities and develops representative profiles from observed patterns. Campaigns can then layer these modeled audiences over their own voter files, turnout models or CRM data.

This creates a hybrid targeting approach in which aggregated audience intelligence is combined with campaign-specific data. Givsly says the model can help media buyers identify communities where particular issue priorities are more prominent and potentially focus advertising on audiences more receptive to specific messages.

The expansion also brings Values-Based Audiences into programmatic advertising supply. Givsly says the political advertising segments are currently available through select partners, including OpenX and Index Exchange via Index Marketplaces, ahead of a broader rollout.

The move comes as political campaigns, PACs and political advertising agencies increase their use of data and AI for campaign planning and media activation. For these organizations, the challenge is increasingly about finding additional signals that can complement established targeting factors such as age, party registration and past turnout.

The privacy implications of political audience targeting also remain important. Givsly says its offering uses aggregated and modeled signals rather than individually identifiable voter data. The distinction allows the company to position its audience segments as community-level intelligence that can be layered onto campaign-owned targeting information.

For programmatic buyers, the availability of these segments through supply-side partners adds another dimension to the proposition. Index Exchange and OpenX characterize the offering as a way to bring values and issue signals closer to the media supply and incorporate them into programmatic strategies.

Market Landscape

Political advertising has traditionally relied heavily on demographic, geographic and voter-related data. AI-based audience modeling introduces another layer by attempting to identify communities according to shared values and issue priorities.

Givsly's approach focuses on ZIP-code-level modeling rather than individual voter classification. This positions the technology between broad geographic targeting and individualized voter-data strategies, while allowing campaign-owned data to be layered onto the modeled audience.

Strategic Outlook

The expansion illustrates how AI-driven audience intelligence is moving beyond conventional commercial marketing applications into political advertising. Values and issue signals can provide campaigns with an additional way to organize media strategies around message relevance.

For advertisers and agencies, access through OpenX and Index Exchange could make these signals more usable within programmatic workflows. The key strategic consideration will be how effectively modeled community-level signals complement campaign data while maintaining the aggregated approach described by Givsly.

Top Insights

• Givsly expanded Values-Based Audiences into political advertising.
• The solution uses AI modeling and a vector methodology.
• Audiences are modeled at the ZIP code level.
• More than 150 values, issues and cultural signals are tracked.
• Campaigns can layer their own voter files, turnout models or CRM data onto the audience segments.
• The audiences are available through select partners including OpenX and Index Exchange.

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