Looks let you explore and analyze data, and serve as the starting point for building your reports in Metrics. You can save Looks and combine them into a dashboard to get a comprehensive view of your data insights in a visually appealing and organized manner.

Capabilities¶

The following are the capabilities of Looks:

• Build Look report: Allows you to customize reports to fit specific data needs for detailed analysis of key business metrics. Dashboards compile different metric Looks into one snapshot, showing important insights and visuals. You can also create custom reports for critical business metrics, independent of dashboards.

• User-friendly interface: Offers a clear view of the data model and simplifies the organization of tables and attributes into dimensions and measures for in-depth analysis and reporting. You can easily add new dimensions and can also filter and pivot the reports as per your design. 

• Dimensions and Measure filter tables: Streamlines complex analysis and eliminates manual calculations to accelerate data exploration by offering over 300 ready-to-use dimensions and measures.

• Joining data: Provides an option to merge Looks by combining multiple datasets or tables within the Looker platform to analyze relationships, correlations, and trends across diverse datasets.

• Scheduled reporting: Supports scheduling and automation for email distribution of reports, You can choose between image or PDF formats to easily share reports with your team.

Use cases¶

The following are the use cases of Looks:

• Generate a new Look report to precisely track and measure Customer Data Platform (CDP) campaign performance. ensuring that campaign data informs strategic decisions and enhances performance over time. 

• Define and focus on Look reports tied to audience engagement, behavior patterns, and lifecycle stages in various ways, such as revenue, open rate, count of buyers, or number of transactions, to analyze campaign effectiveness.

• Use filters composed of dimension and measure to view specific segments, such as customer acquisition by channel, geographic regions, or stores capture. You can also set date ranges and frequencies to analyze campaign performance over fixed periods, rolling bases, or for year-over-year comparisons.

• Use visualization methods such as bar charts, line graphs, or pie charts to effectively communicate campaign insights. You can also balance data granularity to ensure usefulness and actionability, without overwhelming decision-makers with too much or hiding valuable insights with too little detail. 

• Explore data to align business objectives with organizational KPIs, ensuring campaign relevance and value. You can combine these insights into a dashboard and schedule the receipt of new insights to other departments.

Important considerations¶

• SQL Free Form: You cannot use SQL Free Form queries.

• Data summary: You cannot aggregate rows of data within the user interface.

• Built-in pe-model: You cannot create custom join paths due to the predefined data model.

• User interface limitation: The number of rows and columns that can be displayed in the user interface is restricted.