Integrate Asana with ChartMogul
Asana allows you to track your team’s work and manage projects clearly and effectively so that your business can stay in sync, hit deadlines, and reach your goals.
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.
Popular Use Cases
Bring all your Asana data to Amazon Redshift
Load your Asana data to Google BigQuery
ETL all your Asana data to Snowflake
Move your Asana data to MySQL
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
Integrate Asana With ChartMogul Today
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Asana's End Points
Manage your Asana projects, creating descriptions, setting due dates, tracking progress, and more. This will help you better understand your team’s productivity and your effectiveness over time.
If you need an important piece of company-wide information, you can search among all tasks in all accounts. This can help you extract big-picture project insights with just a few clicks, allowing you to prepare your data for analytics.
Use these tags to track specific data or understand your progress, monitoring by things like workspace ID, tag notes, and more. This will allow for better, more detailed organizational structures.
A story represents an activity associated with an object in the Asana system. Tracking stories can help you understand your team’s progress, their interactions, and any pain points that they may be experiencing. Use this information to increase things like efficiency and employee satisfaction.
Control and understand the teams within your organization, then use these records for big-picture insights.
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.