Integrate Recurly with Compose
Recurly is a subscription management service that is designed to provide a variety of billing models to its users - per month, per usage, etc., - and then process recurring charges through those models. Recurly can use data gathered from subscriptions to generate analytics for a company. It also supports integrations with other sales management tools. These can provide users with a more seamless experience and deeper analytic data.
Compose is a MongoDB deployment platform optimized for scale and speed.
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Recurly's End Points
Track data about the status of a customer’s subscription - recurring, new, canceled, etc., - and which plans they are subscribing to. This data can help demonstrate the success or failure of various subscription models and show the most popular time periods to subscribe.
Retrieve data about any purchase or payment processed through Recurly, including the amount of the transaction, customer contact information and the status of the transaction i.e.,whether it is declined, voided, or successful. This data can then be used to provide analytics about the actual revenue being generated by your company.
Gather all of the information related to an invoice that has been sent to a customer, including charges, refunds, credits and discounts. This field also includes the payment history for invoices, which can be used to track trends and help with predictive analysis.
Set up and detail the various plans that your subscriptions use. This field includes data about the plans - how much they costs, what the billing rates are, etc., - and also provides customer data about who is using what plans. This can assist in scoring leads and segmenting your customers by lifecycle stage.
Store all of your data about a customer’s account, including contact information and billing history. You can also use this to track a customer’s current and historical subscription data, which can provide you with insights into your general business performance and help you determine which subscription plans are most profitable.