LTV for non-montly plans now uses the appropriate amount of ARPU in the calculation. The previous bug was causing LTV on non-monthly plans to be too low. Now: moar money!
LTV for non-montly plans now uses the appropriate amount of ARPU in the calculation. The previous bug was causing LTV on non-monthly plans to be too low. Now: moar money!
Our Plan Comparison feature is now available on these metrics
Avatars next to customer names now use the company logo in the event you have Smart Naming set to Company.
Customers who are moved to an unpaid state in Stripe, as well as customers who’ve been given a 100% off coupon are removed from your active customer count.
We added a plan breakout table to the Cancellations metric. Now you can see which plans are the source of a given months cancellations. Which is both sad and helpful. But definitely sad. Nobody likes cancellations.
Plan breakout tables on the metrics were occasionally having some items fall through the cracks (preventing them from adding up to the same amount as the primary number). Said cracks have been de-cracked and the plan breakouts should match up. Those same cracks were also meant some customers went missing from the “Recent” listing on each metric. We’ve found those customers and promptly put them back in their place.
Added ability to support customers who like to make retroactive changes to their customer’s subscriptions. Added more stringent checking of plan breakouts and their totals. Combined single unicorn tear with some hemlock to protect against strange uses of Stripe.
Dunning now uses a customer’s first name only rather than their full name. Coming soon, randomized honorifics! Your customers will be thrilled when you refer to them as The Honored Master John Smith III.
You can now view six different trendlines on all of your graphs to better understand, wait for it, trends! Trendlines are availble via the snazy new micro-chart-with-a-little-line-through-it icon at the top right of all the main graphs.
Updated the Dunning Retention Rate calculation to be based on the dollar amount recovered as opposed to the conversion rate of the emails themselves.