We're excited to announce support for non-US multi-currency accounts in Xero. 💼🔥Thanks to this update, customers outside the US will experience much smoother operations and better clarity on your financials within Forecast+. 

Looking ahead, we see many possibilities for further enhancing our multi-currency and regional support. We can't wait to explore these opportunities and bring more value to your experience. 🙌

We are excited to announce several backend improvements we've made to enhance the user experience with Baremetrics. Here's how we've spent our time:

1. Stripe Test Mode Enabled: We've added a new feature that allows you to use Stripe test mode. With this feature, you can import Stripe test data, which will help you create and manage testing accounts with ease. This feature will enhance your ability to test different scenarios and obtain more precise insights when making crucial updates.
2. Enhanced Clearbit Integration: Previously, customers reported inconsistencies with our Clearbit integration. We've taken your feedback into account and have implemented updates to our Clearbit integration to ensure a smoother, more efficient experience. Now, our system will handle Clearbit API calls directly to prevent overloading, improving the overall performance and reliability of the integration. We've also adjusted the number of emails enqueued per sync worker-run, ensuring we're maintaining a healthier communication balance with Clearbit.
3. Updated Shopify Fees for a Clearer Overview: Based on your feedback and our ongoing improvements, we've revised the way Shopify fees are calculated in our tool. Like other providers such as Stripe, Shopify processing fees are now included in the fees metric, providing a more comprehensive view! 🎉
4. Enhanced Invoice Processing for BAC Payments: Building on our previous updates, where we started disregarding invoices in a 'pending' state and ceased creating states for invoices in 'processing', the system will now only flag an invoice as delinquent after more than one payment attempt. 🕵️‍♂️ We believe you'll find this update particularly useful if you're using the BAC system for payments. No more incorrect flags for unpaid invoices while your transaction is simply awaiting approval. This update should make the process smoother and worry-free! 👌

We'll continue refining and expanding our features based on the feedback you provide. Enjoy the latest update and let us know what you think!

We now support Chargebee's Product Catalog 2.0. If you're having trouble with your current Chargebee analytics service, we're here to help you switch over to Baremetrics and get set up. You can add it as a data source to your current account or you can start a new account here. If you are on Chargebee Catalog 1.0, we will continue to support that as well! 

We are thrilled to announce the launch of another new metric on Baremetrics: Average Sales Price (ASP). Our commitment to providing comprehensive analytics for your business growth continues, and with ASP, you get another powerful tool in your arsenal.

What is Average Sales Price (ASP)?

Average Sales Price (ASP) is the average amount a customer pays when they first subscribe to your service or product. Essentially, it’s the average revenue generated per new account. Unlike ARPU (Average Revenue Per User), which encompasses overall revenue, ASP specifically measures revenue from new sales, giving you a clear picture of your initial sales performance.

🌡️ Think of ASP as the thermometer of your sales pool – it tells you the temperature of your initial sales engagements.

Take me to my ASP

So many of you have been asking for it and we've finally released it! 

Net Revenue Retention (NRR) is a metric used to measure the growth or contraction of revenue from existing customers over a specific time frame. It gives insights into how well a company is retaining and expanding its revenue from its existing customer base. Net Revenue Retention considers the impact of both customer churn and upsells/expansions within a specific period. A value greater than 100% indicates revenue growth from existing customers, while a value less than 100% suggests contraction. Here is how it’s calculated:
NRR = 100% − ((Churned MRR - Expansion MRR) ÷ Starting MRR 30 days ago x 100)

Stay tuned for more releases!

When a goal is created and plans change, you may decide to head in a different direction. Having the ability to edit these goals becomes crucial. In the past, you would have needed to create a completely new goal to track improvements. However, we have changed this logic to provide you with the flexibility to edit goals as needed. Start creating goals for your team now:

I've got some exciting news for you. We've listened to your feedback and added a new customer view to Other Revenue right here!

What is Other Revenue, you ask? Well, it's all about those one-off charges and payments that aren't associated with a subscription. We've now organized it by customer and payment, so you can easily track and manage those transactions. The best part is that this is just the beginning - you can expect to see an expansion of support for one-time charges and usage billing shortly. This development will provide customers with even more flexibility and options when it comes to managing their charges! 👀

Have you ever received an error when downloading customer data in our Customers Tab?  Now, when you download customer data, it will be sent directly to your email, which will eliminate the previous timeout error. Keep an eye out as we plan on releasing new customer reports in the near future👀

Have you ever wondered, "Where can I find those cohort tables?" Perhaps you didn't even know they existed! Our Retention Cohort Tables were previously tucked away within the User Churn and Revenue Churn Metrics, but now they have their own dedicated space! No need to worry; if you're accustomed to searching for them in their old spot, they're still available there too. Having both Retention Cohort Tables in one place will also allow you to easily compare the two. Interested in understanding how to use and interpret this data? Check out this article.