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Plan price increase: Tracking your impact

Track and analyze the financial impact of a subscription price change using Recurly Analytics. Learn how to establish a pre-change MRR baseline, interpret churn dashboards, and measure key revenue and retention KPIs at 30, 60, and 90 days post-migration to evaluate pricing strategy success.

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Tracking your impact

Which Recurly dashboards to watch, what KPIs to monitor, and how to build the baseline that makes your 30/60/90-day comparison meaningful.

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Step zero — build your baseline first

Before any migration runs, export your current subscriber data. Without a pre-change snapshot, you have no way to calculate actual uplift or isolate what changed.

1

Export active subscriptions

Go to Subscriptions → Export and download a CSV of all active subscriptions on the plan(s) being updated. Include unit amount, billing period, and account UUID. This is your pre-change MRR baseline. See Recurly Docs: Subscriptions export.

2

Record your current MRR and subscriber count

Open Analytics → Monthly Recurring Revenue and note total MRR and active subscriber count for the affected plan(s). You'll compare against these numbers at each 30-day checkpoint.

3

Note your current churn rate

Open Analytics → Subscriber Churn Analysis and note your average monthly churn rate for the last 3 months. Any spike above this baseline in the 4 weeks post-change is attributable to the price increase.

Recurly dashboards to watch

Pull these at 30, 60, and 90 days post-change. Note: the MRR Dashboard and MRR by Plan breakout may require Analytics permissions not available on all Recurly plans — contact your CSM if you don't see them.

MRR dashboard

Your primary revenue indicator. Compare month-over-month MRR before and after migration to calculate net uplift. Found under Analytics → Monthly Recurring Revenue.

Primary metric

Subscriber Churn Analysis

Monitor weekly and monthly churn against your pre-change baseline. Weeks 1–4 carry the strongest signal — churn typically peaks in week 2. Found under Analytics → Subscriber Churn Analysis.

Retention signal

MRR by plan

Shows MRR broken down by new, expansion, contraction, and churn. After a price increase, expansion MRR should rise from migrations; watch for contraction or churn MRR from cancellations. Found under Analytics → MRR by Plan.

Cohort breakdown

Subscribers dashboard

Track new subscriptions, cancellations, and renewals for the affected plan by date range. Use this to identify whether cancellation volume spiked after notification or after the effective date. Found under Analytics → Subscribers.

Activity log

KPIs to track at each checkpoint

Pull these numbers at 30, 60, and 90 days and compare against your pre-change baseline. Keep them in a simple spreadsheet alongside the exported CSV.

Your post-change KPI dashboard
  • MRR (affected plan): Target net positive after accounting for any churn-driven MRR loss.
  • Monthly churn rate: Compare to your 3-month pre-change average. An increase above 1–2 percentage points signals a communication or value issue.
  • Weekly cancellations (weeks 1–4): A spike in week 2 is common — watch for it returning to baseline by week 4.
  • Renewal success rate at new price: What percentage of renewals at the new price successfully processed? A drop below your historical rate indicates friction.
  • Support ticket volume: Pricing-related tickets are a proxy for subscriber sentiment. A spike that doesn't normalize by week 3 suggests the communication missed.
  • Net revenue impact: (MRR gained from migrations) minus (MRR lost to churn). This is your bottom-line result.
Separate churn timing from churn cause

Not all churn in the 30 days after a price change is caused by the price change. Compare against your seasonal baseline — if churn typically rises in Q1, account for that before attributing the result to the increase.

Bring your numbers to Office Hours

If you're staring at post-change data and not sure what story it's telling, bring it to a Customer Success Global Office Hours session. Our CSMs can help you interpret the MRR by Plan dashboard, diagnose a churn spike, and figure out whether your price increase is performing as expected.

Register for Office Hours →