Data Analytics
4min
AIQ's Analytics section gives your team the power to analyze custom audiences, segment sales to uncover key performance insights, develop data-driven customer personas, and more.
Audiences are at the core of data analytics. Without an audience to analyze there will be no data to observe. The audience builder is an imperative part of data segmentation and can be used to get detailed insight into your business operations.
- Predicted rank: machine learning predictions on future performance of product, category, or brand
- Predicted order value: machine learning predictions on average order value from individuals within the audience being analyzed
- Predicted lifetime value: machine learning predictions on the lifetime value of individuals within the audience being analzyed
- Staff insights: tab showing how your staff are performing at the retail level
- Data analytics becomes more refined as more data is digested so much like flower, let it bloom to see all the beauty inside
- Data analytics can be a powerful tool when deciding how to segment audiences and who to send campaigns to
- Data analytics can be used in inventory planning using our predictive analytics tool to see what product you need to scale up or down on
- In the left-hand navigation bar, click Data Analytics then click Analytics
- Select an audience by clicking on the Audience(s) analyzing field. For a high level analysis of all your customers, select All tracked users but this can be used to analyze any audience in the system. Optional: select a specific date range and compare against another date range which will product a side-by-side comparison
- Click Run Analysis to generate the report. If you edit the audience or date range, be sure to click Run Analysis again to produce a new report
Updated 02 Oct 2024
Did this page help you?