10 Questions Your Paddle Dashboard Can't Answer About Retention

Paddle's reporting - plus the free ProfitWell Metrics it acquired - gives you a clean read on MRR, churn, and a handful of top-line numbers. For a lot of founders, that's the first real visibility they've had into their subscription business, and it's genuinely useful.

But headline numbers answer "what happened" without answering "why," "for whom," or "is this sustainable." The questions below are the ones that actually separate healthy growth from growth that's quietly masking a retention or revenue-quality problem - and none of them are something you can pull directly from Paddle's dashboard.

1. Compare retention of customers who signed up in Q1 vs Q2

This is a basic cohort comparison - retention curves for one signup cohort plotted against another - but Paddle's dashboard shows aggregate churn over time, not cohort-by-cohort retention curves you can compare side by side. Without this view, you can't tell whether a pricing change, an onboarding tweak, or a new acquisition channel introduced between quarters actually helped or hurt retention.

This is exactly what cohort analysis is built to answer, and it's one of the clearest ways to see whether product and go-to-market changes are working before enough time has passed for it to show up in blended churn.

2. Do customers on annual plans retain better than monthly?

Paddle reports churn as a blended figure. It doesn't natively split retention curves by billing cycle, even though annual and monthly customers behave in structurally different ways - annual customers only face a cancellation decision once a year, while monthly customers face one every 30 days.

Knowing the actual gap between the two - not just assuming annual is "obviously" stickier - tells you how much to invest in nudging monthly customers toward annual billing, and whether an annual discount would pay for itself in reduced churn.

3. What's the average lifetime value of customers by signup month?

LTV isn't static - it drifts as your product, pricing, and target customer change over time. A cohort that signed up six months ago under an older pricing page or a different marketing channel can have meaningfully different LTV than customers signing up today, but Paddle's dashboard reports LTV (where it reports it at all) as a single current figure, not broken out by acquisition month.

Tracking LTV by signup month is how you catch cohort quality declining - or improving - well before it's obvious in overall revenue.

4. Show me customers who downgraded in the last 90 days

Downgrades are quiet revenue loss. A customer who drops from your $199 plan to your $49 plan hasn't churned, so they don't show up in any churn report - but you've lost 75% of that account's revenue with no alert anywhere. Paddle's dashboard tracks subscription changes at the individual-customer level if you look them up one by one, but there's no aggregated "who downgraded and when" view.

Left unmonitored, downgrades can offset a meaningful chunk of new revenue growth while your top-line churn number stays flat and gives no indication anything is wrong.

5. What percentage of my MRR comes from my top 10 customers?

Revenue concentration is invisible in a standard MRR chart - $50,000 in MRR looks identical whether it's spread across 500 customers or sitting mostly in 8 accounts, but the risk profile of those two businesses is completely different. Paddle doesn't calculate or surface concentration anywhere in its reporting.

This number matters most at exactly the moments you're least likely to check it manually - during a strong growth quarter, when a few large accounts can be doing the heavy lifting while looking, from the outside, like broad-based demand. See our full breakdown of revenue concentration risk and what level is actually dangerous.

6. How much of my MRR growth last month came from new customers vs expansion vs reactivation?

A single "MRR went up 12%" figure hides three very different growth engines: brand-new customers, existing customers expanding (upgrades, seat additions), and reactivated churned customers coming back. Paddle shows you the net result, not the composition. Growth that's mostly new-customer driven has a different risk profile - and requires different investment - than growth that's mostly expansion from an already-engaged base.

This breakdown, often shown as an MRR movement or waterfall view, is one of the fastest ways to understand what's actually working in your go-to-market.

7. What's my net revenue after refunds by month this year?

Paddle's headline MRR figures are gross, not net of refunds. If refund volume is trending up - a common early signal of a pricing mismatch, a feature that overpromised, or a specific plan attracting the wrong buyer - it can be completely invisible in a gross MRR chart that keeps climbing.

Pulling refunds out as their own monthly trend line, separate from the gross number, is the only way to catch this before it becomes large enough to show up in net revenue itself.

8. Which plan generates the most refunds relative to its revenue?

Total refund dollars alone can be misleading - your highest-revenue plan will often also have the highest absolute refund amount simply by virtue of volume. What actually matters is the refund rate per plan: refunds as a percentage of that plan's revenue. A lower-volume plan with a disproportionately high refund rate is flagging a real quality problem (mismatched expectations, a confusing upgrade path, unclear pricing) that a plan-blind refund total completely hides.

9. Which cohort has the best 12-month retention curve so far?

Beyond comparing two specific quarters, the broader question - which signup cohort, across your full history, has retained the best over its first year - requires plotting every cohort's retention curve against each other and finding the best performer. This is standard cohort-analysis work, but it's not something Paddle's dashboard does at all; at most you get an aggregate churn trend line.

Identifying your best-retaining cohort and understanding what was different about how they were acquired or onboarded is one of the most direct ways to replicate what's working.

10. How does LTV differ between customers acquired on annual vs monthly plans?

Beyond just retention, the full LTV gap between annual and monthly customers - factoring in both how long they stay and how much they pay - determines how much CAC you can justify spending to acquire each type. Paddle doesn't calculate LTV by segment; ProfitWell Metrics gives an overall LTV estimate at best.

If annual customers carry meaningfully higher LTV, it changes how aggressively you should be willing to discount to convert monthly customers to annual billing.

Why Paddle Can't Answer These (and What Can)

Paddle - and ProfitWell Metrics by extension - was built to handle billing, tax compliance, and give founders a clean read on top-line health, not to run cohort and revenue-quality analysis across every dimension of your customer base. That's a deliberate scope decision, not a shortcoming, but it does mean these questions need a dedicated analytics layer to answer.

Chartsy connects to Paddle (and Stripe, if you run both) and answers exactly these kinds of retention and revenue-quality questions in plain English. You can ask:

"Compare retention for customers who signed up in Q1 vs Q2"
"What percentage of my MRR comes from my top 10 customers?"
"Show me customers who downgraded in the last 90 days"
"How much of my MRR growth came from new customers vs expansion last month?"

Connect Paddle and get these answers in seconds →

Frequently Asked Questions

Does ProfitWell Metrics do cohort analysis? ProfitWell Metrics (included free with Paddle) focuses on headline MRR, churn, and growth metrics rather than cohort-by-cohort retention curves or segment-level breakdowns. For cohort comparisons, LTV by signup month, or concentration analysis, you need a dedicated analytics layer on top of it.

What's the difference between churn and downgrades? Churn is a customer canceling entirely. A downgrade is a customer staying subscribed but moving to a lower-priced plan. Downgrades don't appear in churn calculations at all, which means significant revenue loss from downgrades can go completely unnoticed if you only track churn.

Why does revenue concentration matter if my MRR is growing? Growing MRR can still mask increasing dependency on a small number of large accounts. If your top 10 customers represent a growing share of total MRR even as revenue climbs, the business is becoming more fragile - not less - even though the topline trend looks healthy.

How is net revenue different from the MRR Paddle shows me? Paddle's standard MRR figures are gross - they don't subtract refunds. Net revenue accounts for refunds issued in the same period, which can meaningfully differ from gross MRR if refund volume is elevated on any particular plan or in any particular month.

Should I compare cohorts by signup quarter or signup month? Both are useful at different resolutions. Quarterly comparisons smooth out noise and are good for spotting broader trends tied to major changes (pricing, positioning). Monthly cohorts give more precision for catching the impact of smaller, more frequent changes like a specific campaign or onboarding tweak.