Insight Analysis Example

Examples of analyzing metric trends and user behavior.

These are representative analysis examples you can run with the Insight chart.

Product usability

• Want to check your service's recent DAU/WAU/MAU?

  • Query the data for users who triggered Any Event, based on Unique User.

• Want to see the share and details of each OS your users are on at a glance?

  • Select OS name and OS type in the user event properties and run the query.

• Want to see the region, device, gender, and age distribution of users on your service?

  • Select Gender, Device Type, and Age in the user event properties and run the query.

• Want to check the number of projects created and sign-ups over the past month?

  • Select the sign-up completion event and set the period to 30 days.

Product acquisition

• Want to check the number of visits and visitors to your product?

Set the first value in Analysis Items to Count. Add another analysis item and set the second value to User Count.

Setting up visits and visitors

• Want to check product acquisition paths by marketing channel?

  • Set the event you want as the analysis item. In Group by Property, select marketing tracking properties such as utm_source, utm_medium, or utm_resource.

• Want to compare iOS and Android users?

  • Set osName > iPhone and osName > Android as separate user groups.

  • Switching to a horizontal bar chart makes it easy to compare data across groups.

Payment and revenue

• Want to see the payment conversion rate?

  • Set up the case of converting from a homepage visit to a purchase. Select Count for a PV basis and User Count for a UV basis.

  • Select the events that belong in the numerator and denominator of the conversion.

• Want to check order count and revenue at the same time?

Select the purchase completion event. Set the first analysis item to Count. Add another analysis item and set the second value to Sum.

Setting up order count and revenue

• Want to compare users in specific regions?

  • Set Location > Seoul and Location > Gyungi as separate user groups.

  • Switching to a horizontal bar chart makes it easy to compare data across groups.

• Want to check your top-selling products or categories by revenue?

  • Select the product or category property in Group by Property. A pie chart works well for checking the share aggregated over the entire period.

  • Count shows the order count, User Count shows the number of purchasers, and Sum shows revenue.

  • For Sum, select the order amount property such as value or order_amount.