Connectors

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Chartmogul

Chartmogul

Product Analytics

Sync Chartmogul data anywhere.

ChartMogul is an analytics platform to assist you run your subscription business. You get a complete overview of your global subscriber base; MRR, ARPU, ASP, churn and LTV are presented in a beautiful and easy to use dashboard. ChartMogul is a real time reporting and analytics solution for subscription businesses who use Stripe, PayPal, Chargify, Braintree, or Recurly. ChartMogul is an analytics platform to assist you run your subscription business. ChartMogul is a subscription analytics tool that provides real-time reporting on the most critical metrics.

  • Standard
  • Beta
  • 6 streams
Sync Chartmogul dataRead the docs
  • 6Streams
  • 50+Destinations
One connector

Everything Chartmogul can do in Airbyte

  • Sync to your warehouse

    Land 6 Chartmogul tables in 50+ destinations on a schedule you control.

  • One authorization

    Authenticate Chartmogul once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the Chartmogul connector on Cloud, Self-Managed Enterprise.

Sync capabilities

  • Full Refresh SyncSupported
  • Available onCloud, Self-Managed Enterprise
  • Destinations50+ Airbyte connectors
  • Connector version1.1.49

Set up in 10 steps

  1. First, navigate to the Chartmogul source connector page on Airbyte.com.
  2. Click on the "Add Source" button to begin the process of adding your Chartmogul credentials.
  3. Enter a name for your Chartmogul source connector.
  4. Enter your Chartmogul account token in the "API Token" field. You can find your API token in your Chartmogul account settings.
  5. Enter your Chartmogul account secret key in the "Secret Key" field. You can find your secret key in your Chartmogul account settings.
  6. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Chartmogul account.
  7. If the test is successful, click on the "Save" button to save your Chartmogul source connector.
  8. You can now use your Chartmogul source connector to create a new Airbyte pipeline or add it to an existing pipeline.
  9. When creating a pipeline, select your Chartmogul source connector as the source and select the destination connector that you want to use.
  10. Follow the prompts to configure your pipeline and start syncing your data between Chartmogul and your destination.
6 streams

Every table you can sync from Chartmogul

  • Activities

  • CustomerCountDaily

  • CustomerCountWeekly

  • CustomerCountMonthly

  • CustomerCountQuarterly

  • Customers

Authentication

Authenticate Chartmogul once

  • API key

    Your Chartmogul API key. See the docs for info on how to obtain this.

FAQ

Common questions

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What data can you extract from Chartmogul?

Chartmogul's API provides access to a wide range of data related to subscription businesses. The following are the categories of data that can be accessed through Chartmogul's API:

1. Customer data: This includes information about customers such as their name, email address, and billing information.
2. Subscription data: This includes information about the subscription plans that customers have signed up for, including the plan name, price, and billing frequency.
3. Revenue data: This includes information about the revenue generated by the subscription business, including monthly recurring revenue (MRR), annual recurring revenue (ARR), and total revenue.
4. Churn data: This includes information about customer churn, including the number of customers who have cancelled their subscriptions and the reasons for cancellation.
5. Usage data: This includes information about how customers are using the subscription service, including the number of logins, the amount of data used, and the features that are being used.
6. Financial data: This includes information about the financial performance of the subscription business, including expenses, profits, and cash flow.

Overall, Chartmogul's API provides a comprehensive set of data that can be used to analyze and optimize subscription businesses.

How do I transfer data from Chartmogul?

1. First, navigate to the Chartmogul source connector page on Airbyte.com.
2. Click on the "Add Source" button to begin the process of adding your Chartmogul credentials.
3. Enter a name for your Chartmogul source connector.
4. Enter your Chartmogul account token in the "API Token" field. You can find your API token in your Chartmogul account settings.
5. Enter your Chartmogul account secret key in the "Secret Key" field. You can find your secret key in your Chartmogul account settings.
6. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Chartmogul account.
7. If the test is successful, click on the "Save" button to save your Chartmogul source connector.
8. You can now use your Chartmogul source connector to create a new Airbyte pipeline or add it to an existing pipeline.
9. When creating a pipeline, select your Chartmogul source connector as the source and select the destination connector that you want to use.
10. Follow the prompts to configure your pipeline and start syncing your data between Chartmogul and your destination.

What are top ETL tools to transfer data from Chartmogul?

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

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