Subscription metrics monitoring
We continuously watch the key metrics of your subscription model: MRR/ARR, churn, retention, LTV, trial conversion, revenue expansion and contraction. We signal when a metric drops or jumps anomalously — churn rising, renewals failing, new subscriptions falling. So you see a problem early rather than at the end of the quarter. Honestly upfront: this is collecting, computing and alerting on your data, not raising retention and revenue and not managing the subscription.
Subscription metrics monitoring — overview
Subscription metrics monitoring is a service with an initial setup and monthly operation: we connect your subscription data (billing, payment systems, database, analytics), agree on definitions and compute the key metrics — MRR/ARR, new/expansion/contraction/churned revenue, customer and revenue churn, cohort retention, LTV, trial→paid conversion, average check. We present them on a dashboard and send alerts on anomalies relative to the usual level. Honestly about definitions, this is critical: subscription metrics are computed differently (what counts as churn, how to handle pauses/upgrades/refunds, gross vs net) — we fix the definitions together with you, otherwise the numbers will be disputable; there is no 'single correct' formula, consistency matters. Honestly about data: it all depends on source quality — if billing/CRM data is incomplete or dirty, the metrics will be distorted (garbage in, garbage out). Honestly about the essence: this is collecting, computing and alerting, NOT raising retention/revenue and NOT managing the subscription — why churn is rising and what to do is decided by you or your analyst; retention work (product, onboarding, pricing, win-back campaigns) is separate tasks. And honestly: monitoring shows correlations and anomalies, not a proven cause, and does not predict the future — it is observation of the fact, not a forecast. Coverage is the connected sources and agreed metrics; someone must react to an alert. An important boundary: this is metric monitoring, not financial/product consulting, not billing setup and not retention work. If there are very few subscribers, the metrics are statistically noisy and conclusions are premature. Picture this: instead of 'at the end of the quarter we saw churn rose, but why and from when is unclear' you get an alert about churn rising in a cohort and see from which month it started. The base price starts from 14,000 ₽ per month (includes setup and monthly operation; the third-party platform cost, if used, is separate).
Problems we solve
- You see subscription metrics late — at the end of the month/quarter.
- You notice churn growth or renewal failures after the fact.
- MRR/churn numbers are computed differently and are not trusted.
- There is no cohort retention and no anomaly signals.
What's included in the Subscription metrics monitoring service
- Connecting subscription data (billing, payments, database, analytics)
- Agreeing on metric definitions (churn, pauses, upgrades, gross/net)
- Computing MRR/ARR, new/expansion/contraction/churned, LTV, cohort retention
- Trial→paid conversion, average check
- Dashboard and alerts on anomalies relative to normal
- Flagging gaps and discrepancies in data (not billing setup)
- Monthly operation of the monitoring
- An alert channel of your choice (email, messenger, webhook)
What you get
- You see subscription metrics in real time, not at the end of a period
- You notice churn growth, renewal failures, a drop in new ones earlier
- Unified agreed definitions you can trust
- You know where to dig (retention work — separately)
How the work goes: steps
- We clarify the model, metrics, definitions and sources; collect access to billing/data
- We agree on formulas, set up computation, the dashboard and alerts
- We launch operation, review anomalies
Why PDV Expert
- Fixed price and timeline — no surprises on the invoice.
- Report and recommendations in plain language — clear without a technical background.
- In touch at every step and answering questions about the result.
FAQ
Will you reduce churn and raise revenue?
No. Monitoring computes and shows metrics and signals anomalies, but it does not raise retention or manage the subscription. Why churn is rising and what to do is decided by you or an analyst; retention work (product, onboarding, pricing, win-back) is separate tasks.
Why might the numbers differ from mine?
Subscription metrics are computed differently (what counts as churn, how to handle pauses/upgrades/refunds, gross vs net). We fix the definitions together with you; there is no 'single correct' formula, consistency matters. And it all depends on the quality of billing/CRM data.
Is this a forecast?
No. This is observation of the fact and anomalies (correlations), not a proven cause and not a prediction of the future. Monitoring helps notice changes early but does not guarantee the trend will continue the same way.
About the provider
The «Subscription metrics monitoring» service is provided by PDV Expert — a team specialising in «Diagnostics & monitoring». We work under contract and deliver a written report with recommendations.