Discord Server Analytics: Track Revenue, Growth and Churn

Four metrics determine the health of your paid Discord community:

• Monthly Recurring Revenue (MRR): Your total monthly subscription revenue. This number tells you whether your business is growing, flat, or declining.
• Churn rate: The percentage of subscribers who cancel each month. Below 5% is excellent. Above 10% means you have a retention problem that needs immediate attention.
• Lifetime Value (LTV): The average total revenue a subscriber generates before canceling. Higher LTV means each new subscriber is worth more, letting you invest more in growth.
• Conversion rate: The percentage of sales page visitors who subscribe. Industry average for subscription products is 2-5%.

DoorFee tracks all of these metrics automatically. Your analytics dashboard shows real-time data with comparisons to previous periods so you can spot trends early.

The dashboard breaks down data by time period (daily, weekly, monthly, yearly) and by server if you manage multiple communities. You can see at a glance whether your MRR is trending up, your churn is stable, and your conversion rate is healthy.

Revenue charts show gross revenue, net revenue (after refunds and chargebacks), and growth rate over time. Subscriber charts show new subscribers, cancellations, and net subscriber change for each period.

Revenue forecasting uses your current subscriber data and churn patterns to project future revenue. This helps you plan investments in content, marketing, and team hiring.

If your current MRR is $5,000 with 4% monthly churn and you're adding 30 new subscribers per month at $29 average, a simple spreadsheet projection shows you when you'll hit $10K MRR and what happens if churn increases or acquisition slows down.

Use forecasts to stress-test scenarios. What if you raise prices by $10 and lose 15% of subscribers? What if you launch an affiliate program and acquisition doubles? Forecasts help you make decisions based on data rather than gut feeling.

Cohort analysis groups subscribers by when they joined and tracks how long they stay. A cohort heatmap shows you which groups of subscribers retain best and which churn faster.

This reveals trends you can't see in aggregate metrics. If subscribers who joined in January have 90% 3-month retention but February's group only has 70%, something changed. Maybe you raised prices, content quality shifted, or a marketing channel brought lower-quality leads.

You can build cohort heatmaps in a spreadsheet using your subscriber data. Look for patterns: do subscribers from specific acquisition channels retain better? Do members who joined during a sale churn faster? Use these insights to double down on your best-performing channels.

Watch for subscribers who show signs of disengagement before they cancel. Warning signals include declining activity in your server, payment failures, and approaching subscription anniversaries (a common cancel point).

When you notice a member pulling back, take proactive action: reach out personally, offer a special perk, or address any issues they might be having. Preventing even a few cancellations per month compounds significantly over a year.

Combine your retention observations with cohort analysis to build a retention playbook. If 3-month subscribers are highest risk, create a milestone reward at that point. If members from paid ads churn faster, adjust your ad targeting or onboarding experience.