[SAMPLE] Factori CTV/Cross Device Data-2 Billion+ across the Globe

Our cross-device graph identifies customers across the range of internet-connected devices that they use through their encrypted MAIDs and IP addresses. This aggregated data feed is delivered as a daily feed.

Cross Device/CTV Data Reach:
Our reach data represents the total number of data counts available within various categories and comprises attributes such as unique MAIDs, IP addresses, and so on.

Data Export Methodology:
Since we collect data dynamically, we provide the most updated data and insights via a best-suited method at a suitable interval (daily/weekly/monthly).

Cross-Device/CTV Graph Use Cases:
Consumer Analytics
Determining household-level reach reports and aggregated analysis of household device identities.
Cross-Device Analysis
Cross-device attribution of household consumers and retargeting to gain higher traction.
Sales Forecasting
Analyze consumer behavior to predict sales and monitor the performance of investments
Advertising
Using cross-device graphs to ensure that customers do not receive the same messages and ads on too many platforms as that can bother or alienate them

我们的跨设备图谱通过加密的移动广告标识符（MAID）和IP地址，识别用户在其使用的各类联网设备中的身份。此聚合数据馈送以每日馈送的形式交付。

跨设备/CTV数据触达：
我们的触达数据代表各品类下可用的数据计数总数，包含唯一移动广告标识符（MAID）、IP地址等属性。

数据导出方法：
由于我们动态收集数据，我们会通过最适合的方法，在合适的时间间隔（每日/每周/每月）提供最新的数据和洞察。

跨设备/CTV图谱用例：
消费者分析
确定家庭层面的触达报告及家庭设备身份的聚合分析。
跨设备分析
家庭消费者的跨设备归因及重定向以获得更高的吸引力。
销售预测
分析消费者行为以预测销售并监控投资表现。
广告
利用跨设备图谱确保客户不会在过多平台收到相同的信息和广告，因为这可能会打扰或疏远他们。