Prepare your next client review with a clearer view of subscription revenue. Connect Profitwell through Catchr MCP and ask ChatGPT about MRR, churn, trial conversion and customer records.
For freelancers and agencies supporting subscription businesses, it is a practical way to turn revenue questions into focused analysis and client talking points.
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Use Profitwell revenue metrics to examine business performance, then explore customer records for account-level reporting. Keep these analyses separate unless a supported relationship has been established.
Review Recurring Revenue alongside Existing Recurring Revenue, which represents MRR at the start of the month. Examine New, Converted, Reactivated and Upgraded Recurring Revenue to understand the reported sources of revenue growth.
Add Growth Rate and ARPU to a client review to discuss how recurring revenue and average revenue per user have changed. Compare equivalent periods and avoid adding monthly revenue snapshots together.
Explore Churned Recurring Revenue and distinguish losses from subscription cancellations from losses caused by failed payments. Review Downgraded Recurring Revenue separately to keep reductions in subscription value visible.
Use Revenue Churn Rate and Revenue Retention Rate to frame the results. Future Churn MRR shows revenue that will be lost when currently cancelled users actually churn; keep it separate from revenue already lost.
Explore customer IDs, names, emails, status and total spend, together with creation, activation, churn and update dates. Use these fields to prepare a customer review with the dates and details relevant to your client.
Separately, review Active Customers, Customer Conversion Rate and Converted Recurring Revenue to discuss paying customers and trial conversion. Customer Conversion Rate measures the percentage of trialing customers who converted.
A focused revenue investigation, a recurring client report and a conversational query serve different needs. Choose the method that fits the Profitwell question you need to answer.
Use a report to keep recurring client reviews consistent, and Catchr MCP to explore follow-up questions about Profitwell revenue or customers. Keep account, date and metric definitions explicit so each comparison is easy to check.
Connect Profitwell to Catchr using API-key authentication and select the relevant account. Then connect your AI destination, such as ChatGPT or Claude, through Catchr MCP.
Start with a question about MRR, churn or customer records. Include the client account, reporting dates and the fields you want returned.
Replace the bracketed values with your client account, dates and thresholds. Each prompt asks for supporting figures so you can check the answer before using it in a client discussion.
Using Catchr, compare Profitwell Recurring Revenue, Existing Recurring Revenue, Growth Rate and ARPU for [account] between [baseline period] and [comparison period]. Show New, Converted, Reactivated and Upgraded Recurring Revenue alongside Churned and Downgraded Recurring Revenue. Keep revenue snapshots separate from revenue movements, do not assume the components are additive, and draft three client talking points supported by the returned figures.
Copy promptUsing Catchr, review Profitwell revenue losses for [account] during [start date] to [end date]. Compare Churned Recurring Revenue Cancellations, revenue lost to customers who churned delinquent, and Downgraded Recurring Revenue. Flag reported values above [revenue loss threshold], show Revenue Churn Rate and Revenue Retention Rate, and present Future Churn MRR separately from losses already recorded. Which loss category deserves the next client discussion?
Copy promptUsing Catchr, compare Profitwell Customer Conversion Rate, Converted Recurring Revenue and Active Customers for [account] across [baseline period] and [comparison period]. Show the values and changes, identify whether trial conversion rate and converted MRR moved in the same direction, and list questions to investigate when they differ. Do not infer trial counts or claim a cause from these metrics alone.
Copy promptUsing Catchr, retrieve Profitwell customer records for [account] created between [start date] and [end date], then identify those with Customer Total Spend above [threshold in cents]. Return Customer Id, Customer Status, Customer Created On, Customer Activated On, Customer Churned On and Customer Total Spend, ordered by total spend. Keep spend in cents and flag missing lifecycle dates without inferring customer status from them. Which records should be reviewed first?
Copy promptConnect Profitwell in Catchr using API-key authentication, select the relevant account, and connect ChatGPT through Catchr MCP. Include that account and your reporting dates when asking about recurring revenue, churn or customer records.
Recurring Revenue is the company's MRR. Converted Recurring Revenue is MRR from users who moved from trialing to active. Review it alongside Customer Conversion Rate to compare trial conversion outcomes with their recurring revenue contribution.
Yes. Profitwell provides separate revenue-loss metrics for customers who cancelled and customers who churned because they failed to pay. Compare them for the same period, and show Future Churn MRR separately because it represents revenue that has not yet been lost.
Customer records include identity, status, lifecycle dates and total spend. Revenue metrics support a separate performance analysis. A relationship between these datasets is not established here, so do not assume that account-level MRR or churn can be attributed to individual customers. Customer record date filtering uses creation date; use Customer Churned On explicitly when reviewing churn dates.
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