- Introduced Multi-Attribute Rating
- Invoice Template Updates
Event-driven architectures are crucial for enabling real-time, personalized product experiences and we believe they are the future of modern B2B SaaS applications. For organizations that are already events-based, we’ve introduced a simpler method to send data to Chargify via our Kafka Inbound Cluster. From there, you can use this data to build complex, value-based pricing models which charge your customers for exactly what they use—linking the value you provide to the invoice they receive.
For more information on streaming data from Kafka-based event pipelines to Chargify for Events-Based Billing, see our documentation here>
Charging based on value is something we believe strongly in and are excited to announce that you can get even more granular with how you price and bill based on events. Previously, it was possible to bill on events and then vary the price based on 2 additional pieces of data (or attributes). This has now been updated to 4.
For example, if you were billing based on messages sent through your platform, you could track "origin", "destination", "message type", and "data size" in addition to configuring different rates for every permutation of those attributes.
Try Events-Based Billing today and see for yourself the sophisticated granularity you can achieve with it. For more information on Events-Based Billing, see our documentation here>
For more information on our Events-Based Billing, see our documentation here>
The new version of the Finance Report is now live and is available for users. We have made several enhancements to the layout of the new report for added detail and clarity. The new report provides:
For more information on the Finance Report, see our documentation here>
The A/R aging report we announced two months ago is now available.
You can now track customers' outstanding balances and credit balances using the Accounts Receivables report. This report tracks customer balances down into invoiced amounts, payments, refunds, prepayment balances, and unapplied credits.
It is also possible to use the Accounts Receivable report to measure outstanding balances and make provisions for doubtful accounts. You can also use this report in tandem with the Revenue Retention report to manage overdue accounts and to identify unpaid invoices that can be paid by allocating existing balances.
For more information on the Accounts Receivable report, see our documentation here>
This flexibility allows you to follow either Cash Basis or Accrual Basis accounting principals through our Chargify to Avalara integration. To turn this on for your environment, reach out to your Customer Success Manager or the Chargify Support team.
For more information on linking your Avalara account, see our documentation here >
It is now possible to filter based on invoice status within the Accounts Receivable Dashboard. This filter is especially useful when working with invoices that are past due or in a 'Collections' status. All filters have also been moved to the top of the dashboard and now filter the results across the entire dashboard.
Refunds and service credits are also now included in the Accounts Receivable Export, fully rounding out the content to include a wholistic view of open A/R.
For more information on the A/R Dashboard and Export, please see our documentation here >
The most recent amount invoiced has now been added to the Subscription report to provide even more detail on the current state of the Subscription at the time of export. This field represents the total amount billed, in cents, of the most recent recurring invoice (does not include mid-period probation invoices). It does not include invoices in a pending status or invoices which have been voided.
For more information on our Subscription Export, see our documentation here >
The MRR Movements Export is a great way to get a detailed view of all MRR changes for a period of time. These movements include new sales (new_business), upgrades (expansion), customers coming out of hold status' (reactivation), customers shrinking (contraction), and customers leaving all together (churn). The Product ID (product_id) and Name (product_name) have now been added to this export to provide more detail around where the MRR movement is occurring.
For morning information on our MRR Movements Export, see our documentation here >