If you notice any issues with your data in Polar, you can always use Custom Reports to quickly investigate how your raw data is pulling into the app. This is a great way to self-investigate your data, apply filters, add breakdowns, and get quick insights into your metrics.

Step 1) Create a Custom Report.

Step 2) Add in the metrics you'd like to investigate using the sidebar. In this example, we're investigating Total Orders.

Step 3) Add a breakdown to see how your data is segmented. Adding a breakdown will pull in an additional column so that you can see how your data is tagged. In this example, we added a "Purchase Type" breakdown to quickly see which orders are New vs. Repeat.

Step 4) Add a filter to further segment your data. Adding a filter will ensure that you only see data in the report that matches the criteria you've set. This is a great way to investigate how your raw data pulls through to Polar.

In this example, we've added a filter for Purchase Type, so that you can only view the repeat products ordered within the date range you have set.

In this example, we've added a separate filter for Product Title. You can use this to only look at products that have a certain title (or than contain a certain word in the title using the "Contains" function).

Step 5) If you'd like to go a step further, you can also create Custom Metrics to filter multiple metrics differently at the same time. Custom Metrics enable you to create filters for a specific metric, and pull multiple metrics into one Custom Report. This article details how to create Custom Metrics.

For example, the Custom Metric below yields all New Total Orders. You can also add additional rules (or groups of rules) to segment these metrics further.

If you have any questions about how your raw data is pulling into Polar (or about how to leverage Custom Report to self-investigate), don't hesitate to reach out to our Support Team via the in-app live chat and we'll be happy to assist.