We’ve expanded our analytics capabilities to give you sharper, more actionable insights into why subscribers cancel, when it happens, and what it costs you. This isn’t just about tracking churn - it’s about understanding customer behavior and optimizing retention strategies across the whole subscriber lifecycle.
Key highlights
Separate full subscriber churn from individual subscription cancellations
Understand churn hotspots by checking order-wise churn rate and lost MRR
Identify which products, selling plans, or delivery frequencies are driving higher cancellations
Uncover and track cancellation reasons and their trend over time
See what save actions are working best for each cancellation reason
Key metrics
Feature | Benefit |
Churn overview & trends | Track key subscriber churn and subscription cancellation metrics and how they change over time. |
Product-level cancellations | Identify top products contributing to lost MRR. |
Order-wise cancellations | Understand where in the lifecycle churn happens and its revenue impact. |
Reason-wise cancellations | View and trend real cancellation reasons to drive better retention strategies. |
Frequency & selling plan cancellations | Spot churn-prone delivery intervals and plan types. |
Save metrics | Measure how often cancellation flows are saving customers and which actions work best. |
Monitor and visualize churn trends
Use the Overview and churn trends views together to get both a real-time snapshot and a longer-term view of churn performance.
The Overview section highlights key churn metrics with percentage changes so you can instantly tell whether things are improving or worsening. The Churn trends chart complements this by helping you monitor how subscriber and subscription churn evolve over time.
Track subscriber churn rate and Subscribers lost to see how many customers are churning.
0-day churn contribution to monitor poor acquisition quality.
Upcoming order churn contribution to flag cancellations attributable to upcoming order notifications.
Subscription cancellation rate and Subscriptions cancelled to measure how frequently individual subscriptions are being cancelled.
Orders before cancellation to optimize retention nudges across the subscription journey.
MRR lost via cancellations to measure the revenue impact.
Trend patterns over time, with daily, weekly, or monthly views to detect shifts in behavior tied to campaigns or product changes.
The dashboard distinguishes between subscriber churn and individual subscription cancellations to clarify if you’re losing people or just subscriptions, even if the subscriber remains active.
Cancellation → Overview → Subscriber and subscription churn metrics
Cancellation → Overview → Churn trends
Churn overview
Churn trends graphs
Understand and act on product-level churn
The new Product-wise churn view gives you a complete lens on product-related cancellations - from high-level revenue impact to underlying causes and recovery potential.
From identifying which products contribute most to MRR lost to understanding why customers cancel them, and how effective your retention tactics are - this section brings it all together.
Track churn rate and trends in MRR or quantity across flexible timeframes, per product.
Understand cancellation reasons for top-churned products to guide SKU-level improvements.
Measure cancellation flow effectiveness across products by comparing save rates and attempt volumes.
Diagnose churn at the variant level to detect hidden retention gaps across formats.
Search and filter to focus on specific products and export granular insights for broader retention strategy.
Cancellation → Overview → Product-level churn view
Top 10 products by churned MRR
Products → Churn and retention
Product-wise churn trend
Cancellation reason-wise churn
Cancellation attempts + Save rate
Product variant-wise cancellation data
Understand when cancellations happen in the customer journey
The Order-wise cancellations section breaks down churn based on the number of orders placed before a subscription was cancelled and reveals the underlying reasons for those cancellations.
Identify early churn moments, such as cancellations after the first or second order.
Pinpoint drop-off stages to optimize retention messaging across subscriber journey.
Time interventions more effectively, such as adding loyalty rewards or surprise gifts before common cancellation points.
Understand the financial impact of churn at each order milestone through granular metrics like churn rate and churned MRR-helping you connect behavioral drop-offs to actual revenue loss.
Improve cancellation flows using churn and save data segmented by order completion stage.
Analyze cancellation reasons over time using trend charts that break down top reasons across each order cohort.
Uncover root causes of churn at each lifecycle stage by reviewing cancellation reason data - attempts, churned count, churn rate, MRR impact, and save performance.
Measure effectiveness of save actions by tracking save rate, saved MRR, and the top-performing interventions tied to each reason.
Cancellation → Order-wise cancellations
Order-wise cancellations graph
For a deeper dive, explore the Orders → Churn and retention dashboard to analyze trends by completed orders, churned volume, and revenue impact.
Understand why subscribers cancel
The Reason-wise cancellations chart gives you a clear view of the most common cancellation reasons shared by subscribers.
It pairs with the Reason-wise Cancellation Trend view, which shows how these reasons shift over time - daily, weekly, monthly, quarterly, or yearly.
Visualize top churn drivers such as inventory surplus, pricing concerns, dissatisfaction, or payment failures.
Detect emerging churn signals by tracking how cancellation reasons trend evolves over time.
Understand subscriber intent by breaking down cancellation attempts, churned MRR, save rate, and saved MRR by reason.
Tailor retention flows by aligning messaging, offers, and timing to the most frequent and high-impact cancellation reasons.
Benchmark save effectiveness by identifying which reasons are easiest to recover and which ones need better interventions.
Cancellation → Reason wise cancellations
Reason-wise cancellation distribution
Reason-wise cancellation trend
Identify churn by selling plan and frequency
The Selling plan-wise cancellations and Frequency-wise cancellations views help you uncover how churn varies across different offerings and delivery intervals.
Identify which selling plans are most prone to cancellations and need messaging, benefit structure, or value adjustments.
Spot underperforming plans based on their cancellation rate compared to similar active plans.
Understand cancellation rates across 30-day, 60-day, 90-day and other delivery frequencies.
Detect churn-prone intervals that may signal misaligned expectations or poor fit.
Refine your subscription setup by comparing churn patterns across both frequency and plan-level granularity.
Cancellation → Selling plan-wise cancellations
Cancellation → Frequency-wise cancellations
Selling plan-wise cancellation
Frequency-wise cancellations
Need help?
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If you have any questions or need assistance, feel free to email us at support@loopwork.co or chat with us using the support beacon at the bottom right of your screen.
Regards,
Loop Subscriptions Team 🙂