ChartMogul
Logentries

Integrate ChartMogul with Logentries

About ChartMogul

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.

About Logentries

Logentries is a log data storage, monitoring, and analytics with centralized search, custom real-time auto-tagging, and easy data navigation.

Popular Use Cases

Amazon Redshift

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Snowflake

ETL all your ChartMogul data to Snowflake

MySql

Move your ChartMogul data to MySQL

Amazon Redshift

Bring all your Logentries data to Amazon Redshift

Google BigQuery

Load your Logentries data to Google BigQuery

Snowflake

ETL all your Logentries data to Snowflake

MySql

Move your Logentries data to MySQL

Integrate ChartMogul With Logentries Today

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ChartMogul's End Points

Plans

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.

Customers

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.

Invoices

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.

Transactions

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.

Subscriptions

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.

Tags

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.

Custom Attributes

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.

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