Integrate ChartMogul with Heroku Connect
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 Heroku Connect
Heroku Connect is a data integration tool that uses bi-directional synchronization between Salesforce and Heroku Postgres to harmonize Postgres data your Salesforce information like contacts, accounts, and custom objects. Heroku connect includes a user-friendly, point-and-click interface so non-tech-savvy users can set up the service in minutes without coding or complicated configuration procedures.
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 Heroku Connect data to Amazon Redshift
Load your Heroku Connect data to Google BigQuery
ETL all your Heroku Connect data to Snowflake
Move your Heroku Connect data to MySQL
Integrate ChartMogul With Heroku Connect 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.
ChartMogul Custom Attributes
Update customer data with ChartMogul 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.
Heroku Connect's End Points
Heroku Connect Synchronization of Apps Across Heroku and Salesforce
Heroku Connect allows you to build apps with open source stacks, natively integrate the apps with Postgres, and directly sync them with Salesforce. By integrating your Salesforce data with Heroku Postgres, it's easy to combine the power of the Lightning Platform with Heroku. Heroku Connect makes the process of building apps that bring your data and processes to your users as easy as coding in SQL.
Heroku Connect External Objects
Heroku Connect External Objects let you make your Heroku Postgres database information available inside your Salesforce deployment. This empowers you to synchronize your information across both platforms as you create, read, update, and delete data. By creating sophisticated applications inside Heroku and making the app data available to your Salesforce processes, you'll present a seamless experience in Salesforce, while all of your data stays inside Heroku Postgres. Moreover, configuring Heroku-Salesforce integrations for data pertaining to apps, sensors, customers, and products is a simple, point-and-click process that doesn't require any coding skills. Heroku External Objects combined with Salesforce Connect makes it easy to create a seamless experience across all of your business systems.
Heroku Connect Data Security Compliance
Heroku Shield Connect supports the development of applications that share sensitive data with Salesforce while complying with the strictest data security standards. Safely integrate CRM data, Protected Health Information (PHI), Personally Identifiable Information (PII), contact information, account data, and custom objects between Heroku apps and Salesforce. Heroku Shield Connect provides an easy pathway for building advanced applications that need to adhere to the most complicated data security regulations, including HIPAA compliance.
Heroku Connect Easy Application Development and Scaling
Through its compatibility with the most popular stacks and programming languages, Heroku Connect facilitates easy application development. Its add-on ecosystem includes your favorite development tools and databases (like New Relic, Mongo, and Redis) so you can use them with the applications you're creating. Through Heroku's proven infrastructure, which currently supports 26 billion daily transactions for massive consumer websites (such as Upworthy and Bonobo) virtually limitless scaling is available for high volume applications.