Efficient Strategies and Analytics Solutions for Social Media Targeting via Text Mining

Rel8ed.to通过深入的业务数据分析提供对公司的隐藏洞察。我们将北美最大的**公共业务数据存储库与专有算法相结合，在行业、地区和单个**公司级别为客户提供帮助。在线广告系统已经出现，它允许通过组合直接**信息、人口统计、地理和心理特征分析技术来定位用户和细分市场。将这些方法应用于我们独特的数据**存储库，预计与手动广告方法相比，接触率将提高10%-40%。为了创建具有无与伦比的客户定位能力的社交媒体**广告系统，rel8te.to开创了一套基本算法和**方法，为商业营销人员提供潜在客户生成服务。这些在线广告渠道从**我们的数据资产中提取更大的价值，同时为这些服务提供重要的价值主张。但是，还需要进一步改进，以**增强产品的功能。与布罗克大学合作，我们将开发自动化机器学习**技术，以推动对潜在客户生成数据的持续监控和改进。此外，我们还将在多个应用程序环境下对**我们的广告系统进行严格评估，并为持续的产品改进开发分析框架。

rel8ed.to delivers hidden insights about corporations through deep business data analytics. We combine North Americas largest**repository of public business data with proprietary algorithms to assist customers at the industry, regional, and individual**corporation level. Online advertising systems have emerged that allow targeting of users and segments via a combination of direct**information, demographic, geographic, and psychographic profiling techniques. Applying these methods to our unique data**repository is projected to enhance the contact rate by 10-40% over manual methods of advertising. To create a social media**advertising system with unparalleled customer targeting capabilities, rel8ted.to has pioneered a set of base algorithms and**methods to provide lead generation services for business marketers. These online advertising channels extract greater value from**our data assets, while providing a significant value proposition for these services. However, further improvements are needed to**enhance the capabilities of the product. In collaboration with Brock University, we will develop automated machine learning**techniques to drive constant monitoring and improvement of lead generation data. As well, we will conduct rigorous evaluation of**our advertising system on multiple application settings and develop analytical frameworks for continual product refinement.