five

Streaming Services Personas

收藏
Snowflake2025-05-24 更新2025-05-25 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZT0ZIX6LBT
下载链接
链接失效反馈
官方服务:
资源简介:
Our users subscribe to an average of 3.9 streaming services, of which the vast majority are paid. This insight inspired the creation of targetable persona audiences by using billions of first-party proprietary data (e.g., telecommunications, apps, devices, advertising, surveys) to create distinct streaming habits and preferences for marketers. Whether driving subscriber growth, building brand loyalty, or reducing churn, these personas help you cut through the noise and deliver results. Historically, we delivered a conversion lift from 55% to over 2x for leading subscription streaming brands. Here’s a look at the four personas that will fuel your brand: 1. **Home-centered Enthusiasts** are often in households with children, are more price—and promotion-sensitive, and have a high daily watch time.  2. **Premium Streamers** enjoy various content across many paid services and devices, often during the morning hours and evening at home after work for these professionals.  3. **On-demand Viewers** enjoy various genres, and time is essential for these self-employed professionals and students, who consume paid content in the morning and late at night, at home and away.  4. **Opportunistic Watchers** primarily subscribe to free streaming services and consume content via smartphone during commutes or casual downtime.
提供机构:
TextNow
创建时间:
2025-05-16
原始信息汇总

Streaming Services Personas 数据集概述

数据集基本信息

  • 提供商: TextNow
  • 试用信息: 30天免费试用
  • 数据刷新频率: 每周
  • 云区域可用性:
    • AWS: 亚太地区(雅加达、孟买、大阪、首尔)等48个区域

数据集描述

  • 用途: 基于用户对流媒体服务偏好的用户画像分析
  • 数据来源: 数十亿条第一方专有数据(包括电信、应用程序、设备、广告、调查等)
  • 用户画像分类:
    1. 家庭中心爱好者: 多子女家庭,对价格和促销敏感,每日观看时间长
    2. 高端流媒体用户: 订阅多种付费服务,主要在早晨和工作后晚间观看
    3. 按需观看者: 自雇人士和学生,在早晨和深夜观看多种类型的付费内容
    4. 机会主义观看者: 主要订阅免费流媒体服务,通勤时通过智能手机观看

业务需求

  • 个性化客户体验: 通过精准定位用户画像,提高转化率和投资回报率
  • 应用场景: 推动用户增长、建立品牌忠诚度、减少用户流失

数据字典

  • 表名: STREAMING_SERVICES
  • 字段:
    • USER_ID (Varchar)
    • PERSONA (Varchar)

使用示例

sql SELECT DISTINCT PERSONA FROM PERSONAS.STREAMING_SERVICES;

相关数据集

  • Digital Payments Personas: 基于用户支付服务偏好的用户画像
  • Fast Food Personas: 基于快餐偏好的用户画像

联系方式

  • 销售: support@textnow.com
  • 技术支持: data.engineering@textnow.com
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作