Personalizing a Dashboard for 200 Users
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Klipfolio
- Google Analytics
- Google Tag Manager
- Microsoft Azure
Tech Stack
- Google Sheets
- SQL
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
- Predictive Quality Analytics
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
The customer is a well-known consumer publisher that operates a network of 200 affiliated content providers. These providers contribute articles and videos for publication on the client's mobile apps and website. The client uses standard Google Analytics reports for tracking its website and mobile apps, and sources additional dashboard data from a Microsoft Azure database. The client needed a way to communicate personalized content performance metrics to each of its content providers, who each required a filtered dashboard view showing only their own key performance indicators (KPIs).
The Challenge
A well-known consumer publisher needed to communicate personalized content performance metrics to their network of 200 affiliated content providers. These affiliated contributors submitted articles and videos for publication on the client’s mobile apps and website, and each contributor needed a filtered dashboard view showing only their KPI charts and graphs in Klipfolio. The team not only needed to put together an effective overall content performance dashboard; they also needed to deliver personalized views of engagement metrics such as page views by user device, user demographics, and top content categories and views to each unique stakeholder. The client had been using standard, outofthebox Google Analytics reports for tracking its website as well as its iOS and Android apps. Additional dashboard data was sourced from the client’s Microsoft Azure database.
The Solution
The team started by implementing Google Tag Manager to simplify the administration of the existing analytics for the customer. This made configuration across the desktop and mobile platforms much easier to manage and provided a solid foundation on which to build the reporting layer. With Tag Manager in place, they customized Google Analytics to capture events, content groupings, and custom dimensions. They also reorganized the account structure for more intuitive Properties and Views. The team then defined the business goals and related KPIs, and designed a layout for the dashboard. They used a Google Sheet as a Data Source for the Klipfolio dashboard, which allowed Klipfolio to filter the data based on the “dimensionN” field. This meant that when a user logged in, the Klips they saw would only contain data that has dimensionN = their unique identifier. The team also provided basic training and documentation to help users take full advantage of the dashboard.
Operational Impact
Quantitative Benefit
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