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Use Cases

Leverage AdPreference's intelligent data solutions for your data needs

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Augment Data Attributes

Strengthen your datasets with enriched signals that go beyond the basics. By incorporating device details, app activity, and behavioral indicators, you can build a clearer picture of your audiences and how they interact with the digital world. These enriched layers provide the context needed to refine targeting, personalize messaging, and uncover opportunities that standard data alone cannot reveal.​​

Device-level insights—such as operating system, screen size, or carrier—help you adapt creative formats and optimize media placements across channels. App activity data highlights the types of apps users engage with most, revealing their interests and intent, whether it’s gaming, finance, fitness, or shopping. Behavioral indicators, such as content category interests and mobility trends, give you the power to distinguish casual users from high-value audiences.

With these enriched signals working together, your marketing and analytics strategies gain precision and depth. Instead of broad assumptions, you can segment audiences with confidence, design campaigns tailored to real-world behaviors, and achieve stronger engagement across every touchpoint.

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Enrich CRMs and CDPs

Take your customer records to the next level by overlaying enriched attributes that unlock deeper insights and more actionable strategies. Adding new layers of intelligence—such as demographics, device signals, app usage, or behavioral trends—gives you the power to move beyond surface-level segmentation and build a more complete picture of your audience.

Enriching CRM data with device information like carrier, operating system, or handset type allows marketers to optimize creative formats and delivery methods for specific user groups. Overlaying app activity can reveal whether customers are engaging with shopping platforms, travel tools, or fitness trackers—offering clear intent signals to guide campaign messaging. Behavioral indicators, such as mobility data, make it possible to identify high-value customers, nurture them with personalized offers, and design retention strategies that increase loyalty.

By combining enriched attributes with existing first-party records, businesses can segment audiences with greater precision, deliver relevant experiences at every stage of the lifecycle, and ultimately strengthen the connection between brand and customer.

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Audience Personalization

Build custom audiences that go beyond surface-level demographics by capturing real-world behaviors and intent signals. With enriched data attributes such as time of use, mobility trends, intent signals, and content consumption, you can design segments that accurately reflect how people live, move, and engage online.

A retail brand could create an audience of frequent mobile shopping app users who have shown interest in fashion or accessories, making it easier to serve them personalized promotions across social and programmatic channels. A travel company might target audiences who regularly visit airline or hotel websites, combined with mobility data showing airport check-ins, to deliver timely offers for flights and accommodations. Even financial services can benefit by identifying high-intent audiences who actively consume budgeting or investment content, allowing them to launch more relevant campaigns with tailored messaging.

By designing audiences rooted in real behaviors and intent, marketers gain the precision needed to reach the right people at the right time. The result is smarter targeting, stronger engagement, and campaigns that consistently deliver measurable impact across digital channels.

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Fraud Prevention

Safeguard your campaigns from wasted spend by detecting invalid traffic with telecom-level validation and behavioral intelligence. By tapping into network-level insights and user behavior patterns, our solutions make it easier to identify suspicious activity before it drains your budget.

We are able to verify whether impressions are coming from real, active devices rather than bots or emulators. Behavioral intelligence, such as irregular app usage, unrealistic click patterns, or abnormal session durations, helps flag traffic that doesn’t align with genuine human activity. This dual-layer validation ensures that you’re reaching real people—not fraudulent sources.

Advertisers, networks, and platforms can rely on these safeguards to minimize ad fraud, improve campaign accuracy, and ensure budgets are invested in authentic engagement. The result is greater transparency, stronger ROI, and the confidence that your media strategy is built on trustworthy data.

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Audience Curation

Gain instant access to curated audience segments built for today’s most important marketing channels. Whether you’re running programmatic campaigns, activating on Connected TV (CTV), or extending engagement across devices, our datasets give you the precision and flexibility to reach audiences that matter most.

For example, a streaming service can use curated CTV segments to target households that frequently engage with entertainment apps, ensuring promotions reach viewers already primed for on-demand content. Retailers running programmatic campaigns can tap into audiences defined by shopping category interest, enabling them to serve personalized offers across display, native, and social platforms. Meanwhile, travel brands can leverage cross-device engagement by targeting users who research destinations on mobile and later retarget them on desktop with tailored booking incentives.

By combining accuracy with scale, curated audience segments empower marketers to activate campaigns faster, eliminate guesswork in targeting, and deliver consistent, relevant messages across every channel.

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