Dashboard & Tools
Get help with charts, customer timelines, and anything related to the RevenueCat dashboard.
- 156 Posts
- 282 Replies
I am in the process of implementing the RevenueCat SDK and everything seems to be working well, except I am seeing 30+ ‘New Customers’ displayed on my dashboard. Only I am using any version of the app with the SDK implemented, and I have only been testing with two accounts. If I visit the ‘customers’ area, I only see the two expected Sandbox accounts and nothing else.Why is the New Customers count on the dashboard out of sync with the Customers reports, and why would it be so unexpectedly high?Update: I am currently testing logging in and out of different accounts (my accounts, not Apple IDs) and restoring transactions (resulting in transfer events). I see anonymous RC accounts being created in the webhook event. Presumably that is the reason for the count increasing? Am I doing something wrong to generate so many anonymous accounts?
As can be seen in the screenshot attached, some of the “trial start”s are listed as “unknown” in the country breakdown. We didn’t have that issue before, suddenly it started on March 3rd. We didn’t had a new release or a change in the IAPs etc. The thing is, when a trial is converted to a subscription the country data is available again in the “Active Subscription” charts. How can I fix that?I appreciate any help,Thanks in advance
Hello All, How can i identify a user so that the user gets merged with another one? I Have a case in my app that the user made a purchase and for reasons that we already don't know yet, kept Anonymous. We already identified both users in RC and we would like to merge them so i want to identify RCAnonymousIDxxxxx (The one that has the Entitlement active) to 123456XYZ(his actual user). Doing that he will be able to be premium in our app. Didn't find anything in the Dashboard nor the REST API. How can i do this? Thanks!
ERROR: 🤖‼️ Error fetching offerings - PurchasesError(code=ConfigurationError, underlyingErrorMessage=There's a problem with your configuration. There are no products registered in the RevenueCat dashboard for your offerings.
I have followed the instructions as in docs and my revenue account is connected to Google Play service. I have configured the product, entitlements and offer for my product. When I try to integrate the application, it gives an error message.- ERROR: 🤖‼️ Error fetching offerings - PurchasesError(code=ConfigurationError, underlyingErrorMessage=There's a problem with your configuration. There are no products registered in the RevenueCat dashboard for your offerings.I have configured the product, offer and entitlement as described in the documents. How to troubleshoot this problem?
Hi, I updated the $displayName and $email user attributes using the REST API for all my users. However when I go to the customer view on the dashboard those two fields are displaying empty text fields (screenshot below). I also used the REST API to GET the latest user info and the response says that the attributes have been set (snippet of response below). How do I get this data to show up on the Customer dashboard? This info is vital to our customer support team.
Hi Everyone,I just started using revenue cat for my project, yesterday I migrated my old user data and total customers at the end of the day was around 4 thousand, but in the morning I saw a surge in new customers by 700, though my active subsscriptions and active trials count was the same. Does revenue cat takes time to process some receipts and add the customers later on ? Is there any way I can find out which customers were added during a given time window/ daily basis?
The Revenue Cat pricing plan references MTR: e.g. “Free up to $10k MTR / Plans based on Monthly Tracked Revenue (MTR)”But in the Overview / View Sandbox Data page, there is a metric, MRR (Monthly Recurring Revenue).What is the difference between MRR and MTR?Where can we find MRR for our account?Thanks.
Hey there, I would like to know how to check if all payloads are successfully sent to Adjust?I can see on the individual customer level, but would like to check if all payloads are successfully sent to debug a data discrepancy issue. Thanks!
Hi i am looking for some help with a few questions. The first is that we will be using offerings to manage discount codes across iOS and Android and then tracking the use of those codes throughout the user lifecycle. I have two main questionsAre we able to export the data broken down by offering (I have had a look at the reports and can see that I can segment by offering but as we don’t have any data in there yet i cant see if that data would then be segmented when exported to CSV?? What happens if I remove an offering? I would like to be able to remove an offering so that it doesn’t get returned in the future to the app (and therefore isn’t a valid code) but then also still be able to report on users that are a part of that offering? is this possible? Regards Jon
If running an experiment between two offerings – each containing a subscription product and a lifetime subscription product – do the results of the experiment consider the value of the lifetime product in the calculation of LTV?I see no mention of lifetime product metrics in the table of data and so it’s unclear to me if Lifetime products are factored in to the LTV equation. Therefore, it’s difficult to know if the results of the experiment consider any uptake in sales of a Lifetime product.
These questions are about how churned MRR is calculated in the MRR Movement charts. QUESTION 1 - Billing Retry and Grace PeriodsHow are users who go into billing retry/grace periods categorized during the billing retry and grace periods? Are they placed into the churned MRR bucket, and then back into new MRR when and if their subscription is recovered?Or are they only placed into the churned MRR bucket when the subscription actually cancelled?QUESTION 2 - Reactivation after expirationIf a user’s subscription expires and they then joins again later, is this this considered New MRR?
Hi, I’m wondering how my app's MRR is affected by purchases made using an iOS promotional offer.I have a subscription that I sell discounted for $17, which after one year renews into a $35 subscription.During the first year of the subscription - is my MRR increased with the subscription's full price ($35/12), or by the discounted amount ($17/12)?Is there any view where I can visualize (prove) how the MRR is increased from a purchase?
We exported all our customer data from the revenue cat customer tab. However under the sections first_seen_at, first_purchase, trial_start_at, etc it lists 13 digit numbers such as 1638562638000. How would we go about converting these timestamps into the date of the day?
The documentation includes sample queries for revenue, active trials, and active subscriptions but there are no sample query for churn. How to determine churn as shown in charts? And how to determine the active subscriptions per day that shows a deduction when a user unsubscribes?
I am building a Tip jar in my App which I have configured as a Consumable In App Purchase (IAP) on App Store Connect.At present I have added those consumable IAP as products in my Revenue Cat dashboard with associated product IDAfter going through the docs as well as online tutorials most of them focus on Subscriptions which should be packaged as offers.Even the API that I am using to fetch the products in my app points me in the direction to use offers instead.So I am a bit confused, should I be using offers with each IAP being a separate offer ? or should I continue using my current setup of 3 products with no offers & entitlement ?
I have a customer who signed up for a 7 day trial on 12/20/2021. This is listed correctly in the Customer History in the Customer report. In the same customer report it shows “Trial converts on 2021-12-29”. Why would a 7 day trial go 9 days? In the customer history there is no activity other then :First seen using the app (also on 12/20/2021) Started a trial (12/20/2021) Last opened the app (in last day)Looking at the event data for the Started a trial event the expiration (which should be the conversion) is listed correctly as 1640639521296 which is 12/27/21 - 7 days after trial started.