Real-time Charts Docs (Aug 1st update) (#1034)

* Update real-time charts docs

* Add the new charts

* Move unsupported charts section

* Add Active Customers chart

Author: dpannasch

docs/dashboard-and-metrics/charts/real-time-charts.md

@@ -10,7 +10,8 @@ We’re excited to welcome you to the beta of our new real-time Charts. We've re
 - Real-time reporting on almost all charts
 - A new unified subscription model for consistent reporting across stores
 - Improved definitions for existing dimensions like Platform and Country
-- New dimensions to filter and segment by, including custom attributes in the near future
+- New dimensions to filter and segment by, including Custom Attributes & Ad Attribution
+- Brand new charts for Trial Conversion Rate and Active Customers, with more for Paywall metrics coming soon
 
 :::warning Supported stores
 At this time only App Store and Play Store aps are supported in Real-time Charts. Support for Stripe, Roku, and RevenueCat Web Billing is coming soon; with the remaining stores to follow.
@@ -20,43 +21,31 @@ At this time only App Store and Play Store aps are supported in Real-time Charts
 As you explore the beta and have feedback or questions about the experience, [please let us know here](https://form.typeform.com/to/iuAUBGNC).
 :::
 
+## Getting Started
+
+You can access Real-time Charts from your dashboard by toggling `Real-time` on in Charts. Look for the real-time icon next to supported Charts. To see the current version of each chart, simply toggle `Real-time` off.
+
 ## Summary of changes
 
 ### New features
 
 - Charts are now updated in real-time as events occur [Learn more](/dashboard-and-metrics/charts/real-time-charts#real-time-reporting)
 - New filters & segments for deeper analysis [Learn more](/dashboard-and-metrics/charts/real-time-charts#new-and-updated-dimensions)
+- A new Trial Conversion Rate chart for measuring that rate by trial start date cohorts, and segmenting it for more granular analysis [Learn more](/dashboard-and-metrics/charts/trial-conversion-rate-chart)
 
 ### Improvements
 
 - Charts are now defined from a consistent subscription definition that is universal across stores, and allows us to distinctly measure cases like a Product Change or a Resubscription separately from a standard Renewal. [Learn more](/dashboard-and-metrics/charts/real-time-charts#improved-subscription-definition)
 - Refunded transactions no longer cause metrics like Revenue, Conversion to Paying, etc. to change retroactively for complete periods. Instead, transactions that are later refunded are included by default in all charts, and their revenue or conversion (if applicable) is subtracted on the date the refund actually happened. [Learn more](/dashboard-and-metrics/charts/real-time-charts#refund-behavior)
 - The **Platform** dimension now reports a customer's first seen platform, not their last seen platform, to make analyzing acquisition channels easier and to avoid customer dimensions changing over time.
 - The **Country** dimensions now reports the country associated with a customer's app store account (if available), or IP-based location otherwise.
-- The current Trial Conversion chart included any future payment on an App Store subscription as a conversion to paid, even if that conversion did not come from the trial start. Now, only conversions to paid from the trial start are included in this chart.
-
-## Supported charts
-
-- Initial conversion
-- Trial conversion
-- Conversion to paying
-- New customers
-- Realized LTV per customer
-- Realized LTV per paying customer
-- Active Subscriptions
-- Active Subscriptions Movement
-- Active Trials
-- Active Trials Movement
-- ARR
-- MRR
-- MRR Movement
-- Cohort Explorer
+- The current Trial Conversion chart (renamed to the Trial Conversion Funnel) included any future payment on an App Store subscription as a conversion to paid, even if that conversion did not come from the trial start. Now, only conversions to paid from the trial start are included in this chart.
 
 ## Detailed changes
 
 ### Real-time reporting
 
-Previously, charts refreshed every 2 to 12 hours depending on the dataset. Now, most charts update **in real-time**, providing:
+Previously, charts refreshed every 2 to 12 hours depending on the dataset. Now, almost all charts update **in real-time**, providing:
 
 - **Immediate insights** into app performance
 - **Improved intra-day monitoring** for launches, experiments, or spikes
@@ -81,10 +70,6 @@ As a result of that change, you'll see some differences in the data our real-tim
 
 ### Refund behavior
 
-:::warning In development
-The described refund behaviors for Conversion & LTV charts are in development, and will be supported in the coming days.
-:::
-
 When a payment is refunded, it will be deducted from revenue and conversion (if applicable) on the day the refund occurs. Here's how that will impact various chart types:
 
 - **Revenue**: A purchase will add revenue on the day it occurs. If it's later refunded, it will subtract revenue on the day the refund occurs.
@@ -97,27 +82,40 @@ We've introduced new dimensions for filtering & segmenting, with more coming soo
 
 #### New dimensions
 
-**Available now**
-
-1. Experiment: Filter charts by the experiment & variant that a customer was enrolled in
-
-**Coming soon**
-
-1. App version: Filter & segment charts by the first seen app version of a customer to understand how metrics like conversion rate are impacted by app version
-2. Custom attributes: Filter & segment charts by the latest custom attribute values you've set for a customer, to understand how different segments of your audience behave.
+1. Experiment: Filter & segment charts by the experiment & variant that a customer was enrolled in
+2. App version: Filter & segment charts by the first seen app version of a customer to understand how metrics like conversion rate are impacted by app version
+3. Custom attributes: Filter & segment charts by the latest custom attribute values you've set for a customer, to understand how different segments of your audience behave.
+4. Attribution: Filter & segment charts by the attribution data you send to RevenueCat such as Source, Campaign, Keyword, etc. Some ad attribution integrations such as Apple Search Ads automatically send this data to RevenueCat once enabled, and all ad attribution integrations support optionally sending it through the reserved attributes for ad attribution. [Learn more here.](https://www.revenuecat.com/docs/customers/customer-attributes#attribution-data)
+5. Paywall: Filter & segment charts by the RevenueCat Paywall that a purchase was made from.
 
 #### Updated dimensions
 
 1. Platform: Now refers to the first seen platform of a customer, not their last seen platform, so that metrics like conversion rates and LTV can be segmented by the platform a customer originated on without it changing over time (e.g. if a customer converts on the web and then downloads your iOS app)
 2. Country: Now prioritizes the app store country of a customer or purchase over the customer's IP-based location. In charts which measure purchases, like Active Subscriptions, the app store storefront that the purchase occurred in will be used as the country; while in charts that measure customer cohorts, like Initial Conversion or Realized LTV per Customer, the first seen app store country of the customer will be used.
 
-## Getting Started
+### New charts
 
-You can access Real-time Charts from your dashboard by toggling `Real-time` on in Charts. Look for the real-time icon next to supported Charts. To see the current version of each chart, simply toggle `Real-time` off.
+#### Available now
 
-As you explore the beta and have feedback or questions about the experience, [please let us know here](https://form.typeform.com/to/iuAUBGNC).
+1. Trial Conversion Rate: A new chart to measure the number of trials that started in a given period, and the portion of them that converted to paying customers, so that you can understand how likelihood to pay changes over time and by various dimensions. This differs from the Trial Conversion Funnel in that (1) it is cohorted by trial start date, and (2) focuses just on the conversion from trial to paid, and is therefore segmentable by other dimensions the way our other conversion charts are as well.
+2. Active Customers: A new chart to measure the number of unique customers who were active each day in your app. A "customer" is any user of your app, regardless of whether they've made a purchase, and includes both new customers and existing customers.
+
+#### Coming soon
+
+Paywall conversion, LTV, and abandonment charts for measuring performance of each of your RevenueCat Paywalls.
 
 ## Upcoming changes & improvements
 
 - Real-time charts support App Store & Play Store apps, with additional store support currently in development.
-- Support for custom attributes as a filter & segment is in development, along with app version.
+- Paywall conversion, LTV, and abandonment charts for RevenueCat Paywalls
+
+## Unsupported charts
+
+Nearly all charts support the real-time system, with the exception of:
+
+- Prediction Explorer
+- App Store Refund Requests
+- Play Store Cancel Reasons
+- Customer Center Survey Responses
+
+We'll look to migrate these charts to support real-time reporting in the future as well.