Prepare your next client review with ChartMogul subscription data in ChatGPT or Claude through Catchr MCP. Ask about recurring revenue, compare churn rates and examine customer revenue by country.
For freelancers and agencies, it gives revenue reporting a practical starting point: connect the client's ChartMogul account, choose your AI destination and ask a focused question.
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Use ChartMogul revenue metrics for the account-level picture, then explore customer revenue and location fields for a more detailed review. Keep the scope of each question clear so your client report distinguishes overall trends from customer-level breakdowns.
Review Monthly Recurring Revenue (MRR) and Annual Recurring Revenue (ARR) alongside Customer Count. Use MRR Date to compare reported values across your selected period and prepare a concise revenue update.
Compare values at specific dates rather than adding recurring revenue snapshots together. This keeps your report focused on how the revenue base changed.
Compare MRR Churn Rate and Customer Churn Rate to see how revenue churn and customer churn moved over the same period. Add Average Revenue Per Account (ARPA), Average Selling Price (ASP) and Life Time Value (LTV) to broaden the review.
Use these measures to identify questions for the client discussion. A change in churn or account value alone does not establish what caused it.
Explore Customer MRR and Customer ARR with Customer Country or customer address fields such as country, city and state. Compare the geographic distribution of recurring revenue using a consistent location field.
Customer Billing System Type and Customer Lead Created At provide additional customer context. Keep these customer analyses separate from account-level churn trends unless their relationship has been verified.
A focused revenue check, a recurring client report and an AI conversation serve different needs. Choose the method that fits the question you need to answer with ChartMogul data.
Use a report when clients need a consistent view of subscription performance. Use Catchr MCP when you want to explore a ChartMogul question in conversation, then turn the returned figures into clear meeting notes.
Connect ChartMogul to Catchr using API-key authentication and select the relevant account. Choose ChatGPT or Claude through Catchr MCP, then start with a question about MRR, ARR or churn for a defined reporting period.
For customer breakdowns, specify Customer MRR or Customer ARR and the location field you want to use.
Replace the bracketed values with your client's account, reporting dates and thresholds. Each prompt gives you a focused starting point for reviewing subscription performance.
Using Catchr, compare MRR, ARR and Customer Count for ChartMogul account [account] on [start date] and [end date]. Show the reported dates, absolute changes and percentage changes where the starting value is nonzero. Do not sum revenue snapshots. If either date is unavailable, flag it. Draft three factual talking points for a client review.
Copy promptUsing Catchr, review MRR Churn Rate and Customer Churn Rate for ChartMogul account [account] from [start date] to [end date]. List the returned dates where MRR Churn Rate exceeds [percentage threshold], show both churn rates and calculate their percentage-point difference. Summarize the pattern without inferring causes.
Copy promptUsing Catchr, group the available customer records for ChartMogul account [account] by Customer Country. Show total Customer MRR and Customer ARR for each country, rank countries by Customer MRR and calculate their shares of the returned Customer MRR total. Keep missing country values in a separate group and flag missing revenue values.
Copy promptUsing Catchr, compare ARPA, ASP and LTV for ChartMogul account [account] on [start date] and [end date]. Show the values and percentage changes where the starting value is nonzero, and flag any metric whose absolute percentage change exceeds [percentage threshold]. Explain which measures moved together and suggest questions for the client without claiming a cause.
Copy promptConnect ChartMogul in Catchr using API-key authentication, select the relevant account and choose ChatGPT or Claude through Catchr MCP. Start by requesting a small set of metrics, such as MRR and ARR, for explicit dates.
You can ask about MRR, ARR, MRR Churn Rate, Customer Churn Rate, Customer Count, ARPA, ASP and LTV. Customer MRR and Customer ARR support customer-level revenue analysis. Specify whether your question concerns overall account performance or customer records.
Customer revenue analysis can use Customer Country or Customer Address Country alongside Customer MRR and Customer ARR. Choose one country field consistently and keep missing values visible. An account-level churn rate should not be treated as a country-level rate without a verified relationship.
Request values for explicit MRR Dates and compare those snapshots. Do not add MRR or ARR across dates to represent total revenue. Ask the response to identify unavailable dates and missing values before calculating changes.
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