Skip to main content
MoEngage provides various analysis types suited for different scenarios to evaluate product performance and user interactions with your platform. By utilizing these analysis options, you can implement data-driven customer engagement strategies. The available analysis options include: These tools will help you gather and analyze demographics, preferences, user interactions across various channels, conversion rates, and retention patterns. They will allow you to identify key trends and gain deeper insights into your customer and product needs.

​
Getting Started

At a high level, you will follow these standard steps to perform these analyses. While the specifics may vary based on the case and needs, this provides a general overview of the process to be followed.

​
Choose Events

Select the events or properties for the analysis, either single or multiple. Choose those that will provide the most value for your analysis. These should generally be relevant to your users and app/website. Screenshot 2025-04-08 at 11.48.21 AM.png

​
Define Attributes

Select relevant attributes for your event. Attributes provide context for the events you choose, allowing you to filter specific actions or events further. Screenshot 2025-04-08 at 11.51.20 AM.png

​
Choose Users

Identify the users on whom you want to perform this analysis. These are the individuals who have completed the set of events that you have selected. For more information, refer to Segmentation. Screenshot 2025-04-08 at 11.52.27 AM.png

​
Analysis Options and Duration

MoEngage offers options for count-level and aggregated analysis. These options vary depending on the type of analysis. You will learn more about these options in the analysis types. After selecting the analysis option, you will specify the duration for which you wish to run the analysis.

​
Charts

Charts are the results obtained at the end of an analysis. They visually represent data, making it easier to understand large quantities and their relationships with different data. Each analysis type offers different ways to visualize your query. To give you a general overview, the types of visualization options available are:
  • Line
  • Bar
  • Column
  • Area
  • Pie
  • Choropleth
You can visualize the results in Numerical and Percentage views. 2025-01-23_14-25-34 (1).gif

​
Tables

With charts, the data is also presented in tabular form, arranged in rows and columns. Tables are useful for locating specific information and identifying patterns.

​
Transpose Table

You can transpose the table. This allows you to view and download the table in your preferred format by shifting its vertical and horizontal orientation. 2025-01-23_14-31-49 (1).gif

​
Sorting and Calculation

You can organize the data in the table without external tools. Click the header of any column to sort the table data. The data will be sorted in ascending or descending order. Along with sorting, you can choose the calculation type from the list in the column.
  • Sum
  • Median
  • Average
  • Min
  • Max
For tables with multiple events, you can sort the calculation by clicking the header of the calculation type. This will sort the data in ascending or descending order. In the transpose view, the calculation type row remains fixed while the columns are sortable. 2025-01-23_14-36-36 (1).gif

​
Next Steps