Integrate ChartMogul with Appsee
ChartMogul can turn new and existing business intelligence data into valuable analytics that companies can use to improve their market performance. ChartMogul can take subscriber data - both created within ChartMogul and imported from other data sources - and generate visualized analytics for a variety of metrics that SaaS companies care about.
Appsee enables mobile app publishers and developers to track, understand and improve the user experience in their apps, and act on insights delivered by our SaaS platform.
Popular Use Cases
Bring all your ChartMogul data to Amazon Redshift
Load your ChartMogul data to Google BigQuery
ETL all your ChartMogul data to Snowflake
Move your ChartMogul data to MySQL
Bring all your Appsee data to Amazon Redshift
Load your Appsee data to Google BigQuery
ETL all your Appsee data to Snowflake
Move your Appsee data to MySQL
Integrate ChartMogul With Appsee Today
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ChartMogul's End Points
Gather data about your subscription plans - like the subscription IDs, names, billing intervals, and the number of intervals that are charged at once - to evaluate the performance of each plan. This will help you better understand the effectiveness of your plans so that you can determine which ones are more or less successful as a whole.
Create, retrieve, or update data for new or imported customers in ChartMogul. This allows you to see important customer contact details, customer IDs, and valuable performance data including a customer’s MRR, ARR, and industry sector. You can then use that data to better segment your customers, which can provide more accurate and specific information about your business performance.
Import invoice data for customers that you are tracking through ChartMogul, including customer IDs, dates of purchase, transactions, and any relevant line items. Then, use ChartMogul to create subscription data for those customers and use that data to track more specific revenue data, both in ChartMogul and in your other data sources.
Track payments or refunds made on an invoice to see the transaction ID, type of transaction, transaction date, and whether or not the transaction was successful. This can help you get more accurate analytics from your invoice data. It can also indicate when there is an unusually high number of refunds, which could signal a problem worth addressing.
Get a list of subscriptions that ChartMogul has automatically generated from invoice data. This endpoint returns several IDs - including subscription IDs, customer IDs, plan IDs, and data source IDs - that will help you to more easily track and integrate data between any of those parameters to create deeper, more accurate business analytics.
Use tags to track terms that are associated with a customer so that you can segment or monitor them more specifically. For example, you could tag a particular customer as “high priority,” “returning” or anything else that is relevant to your business, and then retrieve a list of customers who have been tagged with those attributes in order to analyze them as a segment.
Update customer data with custom attributes that are more specific to the needs of your company. This can include both tags as well as more complex custom attributes. Then, track those attributes in ChartMogul to get analytics that are focused on your particular business concerns.
Appsee's End Points
Track a variety of data related to events that happened during user sessions, such as the number of total events in a given period, the properties associated with those events and the number of occurrences of a specific property. This endpoint can also be used to signal when an event occurrence might warrant further examination of the video recording to see when and why it occurred.
Monitor how users interact with your screens, including how many times a screen was accessed, what types of gestures were used, and what screen was accessed next. This can give you a broader view of how your users interact with your app. Use this information to gauge the effectiveness of your screen designs and know which features are being used more or less frequently.
Get analytics data for your app, including the number of users that accessed it and the number of sessions that occurred. This data can be filtered by a set of parameters, including country, date, OS, device, and session duration.
Request data about a user’s session, which can be filtered by things like user ID, included events, device type and screen. Appsee will return any pertinent data and include information like the video URL, crashes that occurred and any other events that occurred during the session.
Retrieve data about your conversion funnels and sort it by parameters, including date range, app version, device and platform. Then, Appsee will return a list of steps in the funnel, along with how many users accessed that step and what their completion percentage was.