[SAMPLE] Mobile Advertisement Identification database / MAIDs / Audience data / 10B+ profiles / ...

The Gaming Taxonomy contains a broad scope of Gaming related topics, based on the user's browser and mobile app activity through last 30 days.
There are classical Demographic, Game Genre, Title and Studio segments. However, we provide also plenty of specific User Types, which contain e.g. Hardcore Gamers, Big Spenders or Parents of Gamers. There are also audiences categorized by specific Hardware Products and Brands, based on the Intent of these devices' purchase. Moreover, we offer segments for Virtual Reality, interest in Gaming Subscriptions, Payments, Micropayments, Devices and Platforms. We also cover the area of E-sports Enthusiasts and Fandoms Members. In spirit of looking beyond simple game genres, we categorize Games according to their Theme (e.g. Historical), which is definitely important aspects of user experience and purchase decisions. Since Mobile Gaming is a very important part of the Gaming Industry, we distinct special Mobile Gaming segments, which are analogous to the ordinary Gaming segments, with additional categorizations of the Telecommunication Network Providers.

Our data base include millions of profiles divided into popular categories. You can choose which target groups you want to reach. Segments based on users' interests, purchase intentions or demography. Contact us to check all the possibilities: [e-mail]

How you can use our data?

There are two main areas where you can use our data:
• marketers - targeting online campaigns
With our high-quality audience data, you can easily reach specific audiences across the world in programmatic campaigns. Show them personalized ads adjusted to their specific profiles.
• ad tech companies - enriching 1st party data or using our raw data by your own data science team

We are ready for a cookieless era.
We already gather and provide non-cookie ID - for example Universal IDs, CTV IDs or Mobile IDs.

搜集汇总

背景与挑战

背景概述

这是一个移动广告识别数据库（MAIDs）的样本，包含超过100亿条用户档案，基于用户过去30天的浏览器和移动应用活动，提供游戏相关的受众细分数据，涵盖游戏分类、人口统计、用户类型、硬件品牌等多个维度。该数据集特别强调移动游戏细分和无Cookie时代兼容性，适用于营销精准定位和广告技术公司数据丰富化。