Tableau > 实例探究 > Tableau Takes eteamz to the Major Leagues

Tableau Takes eteamz to the Major Leagues

Tableau Logo
公司规模
1,000+
地区
  • America
国家
  • United States
产品
  • Tableau
技术栈
  • Omniture Web analytics
实施规模
  • Enterprise-wide Deployment
影响指标
  • Customer Satisfaction
  • Revenue Growth
技术
  • 应用基础设施与中间件 - 数据可视化
适用行业
  • Software
适用功能
  • 销售与市场营销
服务
  • 数据科学服务
关于客户
Eteamz is a publishing platform that allows coaches and players to create websites for their teams or leagues. The platform offers two types of memberships: a free 'Basic' membership and a paid 'Plus' membership. The free membership lasts for three weeks, after which users must upgrade to keep their premium features. Eteamz is part of The Active Network, a technology company that provides software as a service for activity and participant management. Their software is used by a variety of customers, including community centers, sports organizations, schools, and businesses.
挑战
Eteamz, a publishing platform for sports teams and leagues, was struggling with understanding conversion rates on their site. They had a wealth of data, but making sense of it was a challenge. They needed a way to consolidate all their data in one place and create multi-dimensional charts. The process of doing this in Excel was time-consuming and inefficient. They wanted to understand the relationship between their free and paid memberships and identify which funnel was generating the most conversions. They also wanted to track and respond to any decline in conversions quickly.
解决方案
Tableau was brought in to help eteamz make sense of their data. They started by analyzing each page in the funnel on a daily basis, calculating the conversion rate, the number of visits to the site, and the number of page views per visit. This analysis revealed that users were making multiple visits and navigating through several pages to find the right information. They then looked into how users moved through the membership levels and found that a significant amount of time was spent on the last page before the transaction, suggesting possible confusion. This data was combined with Omniture Web analytics and other data sources such as eteamz’s marketing notes. They also compared membership confirmations by sport type to identify trends and membership patterns. This information allowed eteamz to create more targeted promotions.
运营影响
  • Eteamz was able to identify and track a decline in conversions quickly, allowing them to focus on improving the process and generate new sales.
  • They were able to identify trends and membership patterns, such as the fact that spring and summer sports bring early peaks in membership. This will allow them to create more targeted promotions in the future.
  • They were able to identify that a significant amount of time was spent on the last page before the transaction, suggesting possible confusion. This insight can be used to improve the user experience and increase conversions.

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