Successful businesses survive by providing personalized service, right from initial contact. However, with customers cycling through different devices throughout the day and new marketing channels and media outlets opening up every day, businesses cannot consider single devices separately from their user. Cross-device identity data identifies individual users across devices with the help of IDs and cross-device graphs.
The two main ways through which cross-device tracking is conducted are deterministic and probabilistic tracking. Deterministic tracking uses personally identifiable information (known as PII) like Facebook profiles and email addresses to connect devices. Meanwhile, probabilistic tracking uses clues gleaned from millions of anonymous data points to connect devices. Examples of these anonymous data points include Wi-Fi networks, screen resolution, and operating systems.
Cross-device data normally contains attributes like email, phone numbers, account usernames, and physical addresses. It also contains IP addresses, online cookies, and device IDs. Essentially, this data covers anything that can link a device to its user.
Companies use cross-device identity data to recognize customers across the range of internet-connected devices that they use. The companies then combine this with behavior, preferences, demographics, and other information for marketing purposes—and not just for targeted ads. Global frequency management, for example, uses cross-device identity data to ensure that customers do not receive the same messages and ads on too many platforms as that can annoy and alienate them.
Additionally, you can use this data for sequential messaging and customer journey modeling. Or put another way, you can send different messages to a single customer through different devices, creating a targeted narrative.
First, you should collect high-quality cross-device identity data from multiple sources, as this diversity guarantees more accurate information. You should also request vendors provide sample datasets for you to test for accuracy, update frequency, and scale of information.
As with many data categories, cross-device identity data comes from many different sources. This in turn makes quality assessment difficult. However, vendors that offer quality data, like the ones on our site, present the data in clear and comprehensive datasets. They should also provide previous customer referrals and sample sets for testing.
Finally, to ensure you know that the vendor uses appropriate sources and data collection methods. This is the best way to ensure you receive reliable data.
Best Practices In Cross-Device And Cross-Channel Identity Measurement
Cross-Device Identity: A Data Scientist Speaks
“Retargeting has been a breakout tactic since marketing made the shift from traditional trial and error programs to real-time programmatic campaigns. With retargeting, marketers could directly target the most promising individual consumers. It introduced a simple, practical way to put programmatic ambitions and valuable customer intent data into action, and drove clearly measurable ROI.”
IAB: A close look at retargeting and the programmatic marketer
The Data Group’s dataset – ‘The Data Group: Mobile Ad IDs USA – 495 million digital devices and 3.5 billion MAID/hashed email pairs’ provides Cross-Device Identity Data, Individual Data, and Identity Data that can be used in
Roq.ad’s dataset – ‘Roq.ad Private Cross-Device Identity GraphIdentity Data for USA, Germany, Poland’ provides Identity Data and Cross-Device Identity Data that can be used in
Roq.ad’s dataset – ‘Roq.ad Public Cross-Device Identity GraphIdentity Data for USA, Germany, Poland’ provides Identity Data and Cross-Device Identity Data that can be used in