Cross-Device Measurement Explained: What publishers Need to Know

Welcome to cross-device measurement, a crucial tool in understanding user behavior across multiple devices. As you dive into this field, you’ll learn to navigate the complexities of identifying individuals without relying solely on cookies, optimizing your marketing strategy.

The Basics

Cross-device measurement involves tracking and analyzing how users interact with your content or ads across different devices such as smartphones, tablets, and desktops. As users increasingly shift between devices, traditional cookie-based tracking becomes less effective. Enter cross-device methodologies, which use deterministic and probabilistic methods to match user identities across platforms. Deterministic approaches rely on user login data to create a definitive match, often utilized by walled gardens like Facebook and Google. Probabilistic methods, on the other hand, leverage algorithms and pattern recognition to estimate user identities based on shared characteristics like IP addresses and device IDs. Cross-device measurement is pivotal in allocating budgets more effectively and refining targeting strategies by providing a holistic view of the customer journey. For instance, with a proper setup, you can determine if a user saw an ad on their phone and later completed a purchase on their laptop, ensuring that each advertising dollar is maximized.

1. Choose Your Tools: Start by selecting a cross-device measurement tool that suits your needs. Popular options include Google Analytics, Adobe Analytics, and various DMPs such as BlueKai. Each offers unique strengths, such as ease of integration or advanced machine learning algorithms.
2. Integrate Across Platforms: Ensure your chosen tool is integrated with all platforms where your ads and content are present. This might involve working with SDKs for mobile apps or tags for websites.
3. Utilize Deterministic Data: Wherever possible, leverage deterministic data by encouraging logins across devices. This provides the most accurate cross-device identification.
4. Analyze Probabilistic Matches: Use probabilistic methods to fill in gaps where deterministic data isn’t available. This will help you create a more complete user journey, though with an understanding of potential inaccuracies.
5. Refine Targeting and Attribution: Use the insights gained from cross-device measurement to refine your targeting strategies and adjust your attribution models, often shifting from last-click to more holistic models.
6. Monitor and Optimize: Regularly review your cross-device tracking data, looking for patterns and opportunities to optimize your campaigns. This might involve A/B testing different messaging across devices or reallocating budget based on performance.

Terms You’ll Hear

Deterministic Matching	Uses definitive data like login information to identify users across devices.
Probabilistic Matching	Employs algorithms to match users based on shared attributes like IP addresses.
Device ID	A unique identifier for a mobile device used in cross-device tracking.
Walled Garden	A closed ecosystem where the platform controls access and data, often providing deterministic matches.
Attribution Model	A rule or set of rules determining how credit for conversions is assigned to touchpoints in conversion paths.

Where to Go From Here

Once you’ve grasped the basics, delve deeper by exploring advanced cross-device measurement platforms like The Trade Desk or LiveRamp, which offer sophisticated integrations and analytics. Consider obtaining certifications or attending workshops focused on cross-device marketing to enhance your skill set. Stay up-to-date with industry trends by following key publications and thought leaders in digital marketing. Engage with communities, whether on social media or forums, to exchange insights with peers. As you become more proficient, experiment with integrating cross-device insights into more strategic decisions, such as real-time bidding strategies or personalized retargeting campaigns.