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Copy a template that combines multiple data sources
A client monitoring dashboard is an interface tool that consolidates data from multiple sources (e.g., CRM systems, customer support platforms, financial software) to track and display key performance indicators (KPIs) (e.g., client satisfaction, response time, account growth), enabling teams to monitor client interactions and performance and create presentations for stakeholders and executives.
Client monitoring dashboards are typically built using flexible tools like Google Looker Studio, Power BI, Google Sheets, or platform-specific solutions to enable high customization and integration of multiple data sources.
An actionable client monitoring dashboard balances context and specificity based on the audience (executives, managers, and analysts) and their use cases.
Executive dashboards for CEOs, COOs, and stakeholders show the overall impact of client relationships. Reviewed weekly, monthly, or quarterly, they include:
Manager dashboards have cross-client views with drill-downs to see performance by client, region, account manager, and service level. They help align teams, define strategies, and include:
Operational dashboards for analysts and account managers have granular, customizable KPIs to solve technical issues. Monitored hourly, daily, or weekly, they cover:
Operational client monitoring dashboards are highly customized, built in flexible tools like Google Sheets or Looker Studio to enable data cleaning, blending, annotations, and integrating multiple sources.
To build a client monitoring dashboard, connect your data sources, choose a template on Looker Studio or Sheets, build your queries by selecting metrics and dimensions, choose charts to visualize your data, customize the dashboard, design and share via link, PDF or email.
Here’s the breakdown:
Define and connect the data sources to bring to your dashboard. Common sources are CRM systems for client data, customer support platforms for service metrics, financial software for revenue and billing data.
To connect your data sources, go to portermetrics.com, choose the data sources to bring to your dashboard.
You can follow these tutorials on connecting your data:
Choose from dozens of client monitoring dashboard templates in Google Sheets or Looker Studio, designed for use cases like client satisfaction tracking, financial analysis, and service delivery monitoring.
Learn to copy Looker Studio templates.
While templates are the starting point. Make them specific for your business or agency. Map your specific metrics, especially custom client interactions, CRM contact data, and all the fields and metrics that you define as "client satisfaction" and "revenue".
Depending on your reporting tool—Google Sheets or Google Looker Studio, pick any of the dozens of templates created by our team and customers to solve your client monitoring use cases, such as client satisfaction tracking, financial analysis, and service delivery monitoring.
Once your dashboard template is downloaded, you may 1)modify it or 2) create a blank page to build it from scratch. Whatever the case, setting up a query always follows these steps:
You can follow these tutorials on adding data to your dashboards
To make your client monitoring dashboards truly white-label you can add logos, colors, fonts, and styling to mirror your brand.
Follow these tutorials to design your client monitoring dashboards:
Share your client monitoring dashboards via links, PDF, schedule emails, and control permissions.
Client monitoring dashboards should include a mix of client satisfaction, engagement, financial, and service delivery metrics and KPIs to fully understand the performance of client interactions towards business goals. They include:
Client satisfaction KPIs measure the quality of client relationships:
Efficiency KPIs compare your service outputs to the cost, including:
Effectiveness KPIs compare the input with the output from one service stage to another
Service and cost KPIs show the bottom-line impact of your client performance:
To analyze these client monitoring KPIs, segment them by: