Skio Analytics Definitions & Glossary
Updated
by Tyler Yannes
Metric Name | Definition | Important Context |
Subscription Revenue | Total revenue processed from subscription orders. This total includes subscription revenue from checkout orders, all recurring orders, and 1-time add-ons. | This revenue total excludes taxes, shipping, and discounts. |
Avg. Sub Revenue | This is the AOV of all subscription orders (checkout and recurring) and calculated by the total revenue from all subscription orders divided by the total number of all subscription orders. | This revenue total excludes taxes, shipping, and discounts. |
First-Time Revenue | This is the sum of all revenue from first-time orders (non-recurring orders) in the date range selected. | This revenue total excludes taxes, shipping, and discounts. |
First-Time Avg. Revenue | This is the AOV of checkout orders calculated by the total revenue from checkout orders divided by the total number of checkout orders. | This revenue total excludes taxes, shipping, and discounts. |
Recurring Revenue | The sum of all revenue from recurring subscription orders (excludes checkout) in the date range selected. | This revenue total excludes taxes, shipping, and discounts. |
Recurring Avg. Revenue | This is the AOV of recurring orders calculated by the total revenue from recurring orders divided by the total number of recurring orders. | This revenue total excludes taxes, shipping, and discounts. |
One-time Add-on Revenue | The sum total of all revenue brought in through 1-time add-ons in subscription orders. 1-time add-ons are not recurring subscriptions but products added to a subscription order once, typically via the customer portal or through quick actions. | This revenue total excludes taxes, shipping, and discounts. |
One-Time Avg. Revenue | This is the AOV of all 1-time addons per order with 1-time addons included. This number is calculated by the total revenue from 1-time add-ons divided by the total number of orders with a 1-time addon included. | This revenue total excludes taxes, shipping, and discounts. |
Subscription Orders | Count of all orders that have a subscription product in the order including all checkout orders, mixed cart checkout orders (subscription and 1-time products), and all recurring orders. | |
First-Time Orders | This is the sum of all orders from first-time orders (non-recurring orders) in the date range selected. | |
Recurring Orders | The total number of recurring orders in the date range. Recurring orders are non-checkout orders processed through Skio. | |
One-time Purchase Orders | This is the count of all recurring orders that have a 1-time add-on included in the date range selected. | |
Active Subscriptions | This is the total number of unique subscriptions with an Active status on the last day of the date range selected. This metric excludes subscriptions in dunning. Subscriptions are defined by having a unique subscription ID. Use the Active Products metric to find the count of individual products on subscription and Dunning Subscriptions for subscriptions in dunning. | |
Active Products | This is the number of active, individual products (subscription lines) that are on subscription as on the last day of the date range selected. | This count is representative of each product on subscription in your store and excludes products that are in a subscription in the dunning process. |
Active Subscribers | A count of total Active Subscribers on the last day of the date range filter. This is the total number of unique customers or subscribers and is different from subscriptions and product subscription lines. | |
Activations | This is the count of newly created subscriptions during the date range. | |
Product Activations | This is the count of all new product subscription lines created during this period from new subscriptions created at checkout, splitting subscriptions, creating new subscriptions manually, and adding additional products to an already active subscription. The metric is counting individual product subscription lines created. | |
Subscriber Activations | This is the count of all new customers who were created in the date range that didn’t previously have a subscription. If a subscriber cancelled a subscription and checked out with a new one, they would not count towards a new subscriber since they previously checked out with a subscription. | |
Cancellations | This is the count of all unique subscriptions cancelled during the time period. If a subscription contains multiple subscription lines, the cancellation would only count once since it’s per sub ID. | |
Product Cancellations | This is the count of all subscription lines cancelled during the date range. This count includes all the product subscription lines and is different from cancelled subscriptions; each subscribed product counts as its own product subscription line. | |
Subscriber Cancellations | This is the count of customers who has cancelled all active subscriptions. Customers may have multiple subscriptions, but there can only be 1 customer per store. | |
Dunning Subscriptions | The count of all unique subscriptions that are currently in dunning with at least 1 failed billing attempt as of the last date of the date range selected. | |
Dunning Products | The count of all product subscription lines that are currently in dunning with at least 1 failed billing attempt as of the last date of the date range selected. | |
Dunning Subscribers | The count of all unique subscribers that are currently in dunning with at least 1 failed billing attempt as of the last date of the date range selected. | |
Subs per Subscriber | This is the average number of subscriptions per unique subscriber (the average number of unique sub ids per customer/subscriber). | |
Product per Subscriber | This is the average number of product subscription lines per subscriber (not per subscription, but per unique customer). | |
New Subscriptions | This is the count of newly created subscriptions during the date range. | |
New Products | This is the count of all new product subscription lines created during this period from new subscriptions created at checkout, splitting subscriptions, creating new subscriptions manually, and adding additional products to an already active subscription. The metric is counting individual product subscription lines created. | |
New Product Per Subscriber | This is the average number of product subscription lines per subscriber (not per subscription). | |
Cancelled Subscriptions | This is the count of all unique subscriptions cancelled during the time period. If a subscription contains multiple subscription lines, the cancellation would only count once since it’s per sub ID. | |
Cancelled Product Per Subscriber | This is the count of all subscription lines cancelled during the date range. This count includes all the product subscription lines and is different from cancelled subscriptions; each subscribed product counts as its own product subscription line. | |
Cancelled Product Per Subscriber | This is the average number of product subscription lines per subscriber (not per subscription). | |
Total Subscribers | A count of total Active Subscribers on the last day of the date range filter. This is the total number of unique customers or subscribers and is different from subscriptions and product subscription lines. | |
New Subscribers | This is the count of all new customers who were created in the date range that didn’t previously have a subscription. If a subscriber cancelled a subscription and checked out with a new one, they would not count towards a new subscriber since they previously checked out with a subscription. | |
Cancelled Subscribers | This is the count of customers who has cancelled all active subscriptions. Customers may have multiple subscriptions, but there can only be 1 customer per store. | |
Queued Revenue | The sum of revenue expected for the next 30/90 days, assuming no change in subscriptions. This total includes additional cycles that go beyond just nextBillingDate. | This revenue total excludes taxes, shipping, and discounts. |
Queued Units | The sum of quantity of products expected for the next 30/90 days, assuming no change in subscriptions. | |
Queued Orders | The sum of subscription orders expected for the next 30/90 days, assuming no change in subscriptions. | |
Entered Dunning | The count of all unique subscriptions that entered dunning with at least 1 failed billing attempt in the date range selected. | |
Recovery % | The % of subscriptions that had a failed billing attempt in the date range selected and now has an active subscription status. | |
Recovered Revenue | The estimated revenue recovered from subscriptions that were recovered after failing at least 1 failed billing attempt in the date range selected. | This revenue total excludes taxes, shipping, and discounts. |
Passively Cancelled | The count of subscriptions that were cancelled after reaching their max number of failed billing attempts in the date range selected. | |
Lost Passively % | The % of subscriptions that entered dunning and were cancelled after reaching their max number of failed billing attempts in the date range selected. | |
Lost Revenue (Passively) | The estimated revenue lost from subscriptions that were cancelled after reaching their max number of failed billing attempts in the date range selected. | |
Actively Cancelled | The count of subscriptions that entered dunning and were cancelled manually by the subscriber after at least 1 failed billing attempt in the date range selected | This revenue total excludes taxes, shipping, and discounts. |
Lost Actively % | The % of subscriptions that entered dunning and were cancelled manually by the subscriber before reaching their max number of failed billing attempts in the date range selected. | |
Lost Revenue (Actively) | The estimated revenue lost from subscriptions that entered dunning and were cancelled manually by the subscriber before reaching their max number of failed billing attempts in the date range selected. | This revenue total excludes taxes, shipping, and discounts. |
Still in Dunning | The count of all unique subscriptions that are still in the dunning process with at least 1 failed billing attempt in the date range selected and have yet to reach their max failed billing attempts. | |
Remaining % | The % of subscriptions that are still in the dunning process compared to all subscriptions that entered dunning with at least 1 failed billing attempt in the date range selected and have yet to reach their max failed billing attempts. | |
Pending Revenue | The estimated revenue lost from subscriptions that are still in the dunning process with at least 1 failed billing attempt in the date range selected and have yet to reach their max failed billing attempts | This revenue total excludes taxes, shipping, and discounts. |
Successful Attempts | The total number of successful billing attempts for recurring orders in the date range selected. This total does not include checkout billing attempts. | |
Successful % of Total | This is the percentage of this scorecard's metric out of total metric. | |
Successful Avg Per Day | This is the total number metric divided by the number of days in the date range filter. | |
Failed Attempts | The count of failed billing attempts for recurring orders in the date range selected compared to all billing attempts. This total does not include checkout billing attempts. | |
Failed % of Total | This is the percentage of this scorecard's metric out of total metric. | |
Failed Avg Per Day | This is the total number metric divided by the number of days in the date range filter. | |
Cancel Flow Subscriptions | This is the total number of unique subscriptions that went through cancel flow. This does not double count a subscription that goes through cancel flow more than one time | |
Cancel Flow Saved Subscriptions | This is the total number of unique subscriptions that went through cancel flow and were saved. This does not double count a subscription that goes through cancel flow more than one time. | |
MRR Saved Cancel Flow | Monthly Recurring Revenue (MRR) for subscriptions is calculated by multiplying the subscription price by the frequency of shipments in a month. For example, if a subscription is shipped weekly, then the MRR would be four times the subscription price, as there are four weeks in a month. Similarly, if a subscription is shipped bi-monthly, the MRR would be half the subscription price. | This revenue total excludes taxes, shipping, and discounts. |
