Ayo is the founder of Why Matters, a Shopify agency based in Brighton. With over 20 years of experience in ecommerce, digital marketing, and ROI-driven growth, he has helped hundreds of Shopify brands build, launch, and scale their online stores. Why Matters is a certified Shopify, Klaviyo, and Recharge partner.
The most important Shopify subscription metrics extend far beyond monthly recurring revenue (MRR). To understand whether your subscription programme is truly healthy, you should track monthly recurring revenue, subscription churn rate, customer lifetime value (CLV), average subscription lifetime, failed payment recovery rate, subscription conversion rate and cancellation reasons. Together, these metrics reveal how well you're retaining subscribers, where revenue is leaking and which improvements will have the greatest long-term impact.
Ask most Shopify merchants which subscription metric they monitor most closely and they'll usually answer Monthly Recurring Revenue (MRR).
That's understandable. MRR is easy to understand, easy to report and provides a simple snapshot of how much recurring revenue your subscription programme is generating. The problem is that MRR only tells you where your business is today. It tells you very little about where your subscription programme will be six months from now. Imagine two Shopify stores with identical monthly recurring revenue. Both generate £100,000 in subscription revenue every month. At first glance, both businesses appear equally healthy. However, looking beneath the surface reveals a very different story. One store has:
The other has:
Today, their MRR is identical. In six months' time, it almost certainly won't be. That's because MRR is what analysts call a lagging indicator. It measures the result of everything that has already happened. It doesn't predict what happens next.
The strongest subscription businesses don't wait until revenue declines before taking action.
Instead, they monitor the metrics that influence future recurring revenue. These are known as leading indicators. Examples include:
At Why Matters, we find it helpful to group subscription metrics into three distinct categories.
This makes it much easier to understand how different measurements influence one another and where merchants should focus their improvement efforts.
| Category | Purpose | Core Metrics |
|---|---|---|
| Growth Metrics | Measure how quickly the subscription programme is expanding. | Monthly Recurring Revenue (MRR), Subscription Conversion Rate |
| Retention Metrics | Measure how effectively subscribers are retained over time. | Subscription Churn Rate, Average Subscription Lifetime, Failed Payment Recovery Rate |
| Customer Value Metrics | Measure the long-term commercial value of every subscriber. | Customer Lifetime Value (CLV), Cancellation Reasons |
Notice that only one of these categories focuses primarily on growth. The remaining metrics help explain why growth is happening and whether it's likely to continue. This distinction is important.
Many subscription programmes continue acquiring new customers while quietly becoming less profitable because retention is deteriorating beneath the surface.
Understanding the relationship between these metrics allows merchants to make better decisions before problems become expensive to fix.
One of the biggest misconceptions surrounding subscription analytics is that each metric should be reviewed independently.
In reality, every subscription KPI influences the others. For example:
| Metric Improves | Likely Business Impact |
|---|---|
| Subscription Conversion Rate | More customers become subscribers, increasing MRR. |
| Subscription Churn Falls | Subscribers remain active for longer, increasing MRR and CLV. |
| Average Subscription Lifetime Increases | Customer lifetime value grows without increasing acquisition costs. |
| Failed Payment Recovery Improves | More subscribers remain active, reducing involuntary churn. |
| Cancellation Reasons Are Addressed | Future churn decreases, improving long-term recurring revenue. |
Rather than treating these as isolated KPIs, think of them as a connected system. Improving one often creates positive knock-on effects across several others. That's why successful subscription businesses rarely optimise a single metric in isolation. Instead, they focus on strengthening the entire subscription ecosystem.
Every Shopify subscription business should have a simple dashboard containing the seven metrics that most accurately reflect the health of its recurring revenue programme.
Reviewing these metrics every month provides a far clearer picture than looking at revenue alone.
| Metric | What It Measures | Why It Matters |
|---|---|---|
| Monthly Recurring Revenue (MRR) | Total predictable recurring subscription revenue. | Shows the overall size and growth of your subscription programme. |
| Subscription Churn Rate | The percentage of subscribers who leave each month. | Predicts future recurring revenue and retention performance. |
| Customer Lifetime Value (CLV) | The total value generated by the average subscriber. | Determines sustainable customer acquisition budgets. |
| Average Subscription Lifetime | How long subscribers remain active. | Measures loyalty and onboarding success. |
| Failed Payment Recovery Rate | The percentage of failed payments successfully recovered. | Protects recurring revenue that would otherwise be lost. |
| Subscription Conversion Rate | The percentage of customers choosing a subscription. | Measures how effectively your store converts shoppers into recurring customers. |
| Cancellation Reasons | Why subscribers choose to leave. | Provides actionable insight for reducing future churn. |
These seven metrics form the foundation of an effective subscription analytics strategy.
In the following sections, we'll explore each one in detail, including how to calculate it, what healthy performance looks like and how improving each metric contributes to long-term recurring revenue growth.
Monthly Recurring Revenue, usually shortened to MRR, is often the first number merchants look at when measuring the success of their subscription programme.
For good reason. MRR tells you how much predictable recurring subscription revenue your business generates each month.
Unlike one-time ecommerce sales, MRR provides visibility into future income, making it easier to forecast revenue, manage inventory and plan long-term growth.
If you're serious about building a subscription business, MRR should absolutely be part of your monthly reporting. The important point is that it shouldn't be the only number you monitor.
The simplest way to calculate Monthly Recurring Revenue is:
Monthly Recurring Revenue = Active Subscribers × Average Subscription Value
For example:
| Metric | Example |
|---|---|
| Active subscribers | 2,500 |
| Average monthly subscription value | £32 |
| Monthly Recurring Revenue | £80,000 |
While this calculation is straightforward, it becomes more complex as subscription businesses grow. Subscribers may:
One of the most common reporting mistakes is treating all recurring revenue as though it's growing equally.
In reality, there are two important ways to measure MRR.
| Metric | Definition |
|---|---|
| Gross MRR | Total recurring subscription revenue before accounting for subscriber losses. |
| Net MRR | Recurring revenue after accounting for cancellations, downgrades, upgrades and reactivations. |
Net MRR provides a much more realistic picture of how your subscription programme is performing because it reflects what's actually happening to your subscriber base.
Imagine acquiring £15,000 of new recurring revenue during a month while simultaneously losing £12,000 through cancellations. Your Gross MRR growth appears impressive. Your Net MRR tells a more cautious story. Understanding both figures helps prevent merchants from overestimating the health of their subscription programme.
If MRR tells you how large your subscription programme is today, subscription churn rate tells you how healthy it will be tomorrow.
It's arguably the single most important metric every subscription merchant should monitor. Why? Because every subscriber you retain continues generating recurring revenue month after month without requiring additional acquisition costs. Every subscriber you lose must be replaced simply to stand still. Reducing churn is often the fastest and most profitable way to grow a subscription business.
Subscription churn measures the percentage of subscribers who cancel their subscriptions during a given period.
Most merchants calculate churn monthly because it aligns with recurring billing cycles. A simple formula looks like this:
Monthly Churn Rate = Subscribers Lost During the Month ÷ Subscribers at the Start of the Month × 100
For example:
| Starting Subscribers | Subscribers Lost | Monthly Churn |
|---|---|---|
| 1,500 | 75 | 5% |
That may not sound alarming. After all, losing only five out of every hundred subscribers seems relatively small. Unfortunately, churn compounds over time. Even modest improvements can dramatically change long-term recurring revenue.
Not all churn is created equally.
Understanding why subscribers leave helps determine where your retention efforts should focus.
| Type | Description | Typical Cause |
|---|---|---|
| Voluntary Churn | The customer actively chooses to cancel. | Too much product, cost, changing preferences or dissatisfaction. |
| Involuntary Churn | The subscription ends because payment cannot be processed. | Expired cards, failed payments or banking issues. |
This distinction matters because the solutions are completely different. Voluntary churn usually requires improvements to customer experience, onboarding, product quality or subscription flexibility. Involuntary churn can often be reduced significantly through better payment recovery automation.
As we discussed in our article, Klaviyo Flows Every Shopify Subscription Brand Should Build, a well-designed failed payment recovery sequence can recover subscribers who never intended to leave in the first place.
There's no universal "perfect" churn rate because every subscription category behaves differently.
Products consumed quickly often experience different retention patterns from products purchased less frequently. The table below provides directional guidance rather than strict targets.
| Category | Typical Monthly Churn Range |
|---|---|
| Coffee subscriptions | 3–6% |
| Supplements | 4–7% |
| Skincare | 5–8% |
| Pet food | 3–5% |
Remember, these are broad benchmarks. Your own historical performance is usually a more valuable comparison than an industry average. A business reducing churn from 7% to 5% has achieved meaningful progress, even if another merchant reports lower overall churn.
One of the most remarkable characteristics of subscription businesses is how small improvements compound over time.
Imagine two stores. Both begin the year with identical subscriber numbers and acquisition rates. The only difference is monthly churn.
| Store A | Store B | |
|---|---|---|
| Monthly churn | 6% | |
| Monthly churn after optimisation | 4% |
A reduction of just two percentage points may not appear dramatic.
Over the course of twelve months, however, Store B retains significantly more subscribers, generates more recurring revenue and benefits from a much higher customer lifetime value.
This illustrates why retention improvements often deliver a better return on investment than continually increasing advertising spend. Protecting existing subscribers is usually more cost-effective than replacing them. Reducing churn by one or two percentage points doesn't simply improve this month's revenue. It changes the long-term economics of your entire subscription business. Those retained subscribers continue placing recurring orders, recommending your products and increasing customer lifetime value. Small improvements today become substantial competitive advantages over time.
If your churn rate is higher than you'd like, resist the temptation to solve everything at once.
Start by understanding why subscribers are leaving. Look for patterns such as:
The Biggest Shopify Subscription Mistakes Brands Make (And How to Avoid Them)
Many of the retention strategies discussed there directly improve this metric.
If we could improve only one subscription metric for most Shopify merchants, we'd usually start with churn.
Why? Because almost every other metric improves alongside it. Reduce churn and you'll naturally increase:
If churn tells you how quickly you're losing subscribers, Customer Lifetime Value (CLV) tells you how valuable each subscriber becomes over the course of their relationship with your business.
For subscription brands, CLV is one of the most commercially important metrics you can measure. It influences everything from advertising budgets and profitability to product development and long-term growth.
Put simply, the higher your customer lifetime value, the more you can afford to invest in acquiring new subscribers while still building a profitable business.
Customer Lifetime Value estimates the total revenue a subscriber generates before they cancel.
Unlike traditional ecommerce, where customers may buy once and never return, subscription businesses benefit from predictable recurring purchases over an extended period.
That means every additional month a customer remains subscribed increases their lifetime value. A simplified calculation looks like this:
Customer Lifetime Value = Average Subscription Value × Average Subscription Lifetime
For example:
| Metric | Example |
|---|---|
| Average monthly subscription value | £35 |
| Average subscription lifetime | 14 months |
| Customer Lifetime Value | £490 |
This doesn't account for every possible variable, but it provides a useful starting point for understanding the long-term value of your subscribers.
One of the biggest advantages subscription businesses enjoy is the ability to acquire customers based on long-term revenue rather than the value of the first order.
Imagine two ecommerce businesses. The first relies entirely on one-time purchases. The second operates a successful subscription programme. Both spend £60 acquiring a customer. At first glance, that acquisition cost appears identical. However, the economics are completely different.
| One-Time Purchase | Subscription Customer | |
|---|---|---|
| First Order | £40 | £40 |
| Additional Purchases | Occasional | Monthly recurring orders |
| Total Customer Value | Variable | Potentially hundreds of pounds |
Because subscription customers continue purchasing automatically, merchants can often justify higher acquisition costs while remaining profitable. The important word is profitable. You should never spend more acquiring subscribers than they're expected to generate over their lifetime. Understanding CLV allows you to set sustainable acquisition budgets instead of relying on guesswork.
Customer lifetime value and churn are closely connected.
Every month you extend the average subscription lifetime, customer lifetime value increases automatically. Consider two subscribers paying £30 per month.
| Subscriber | Subscription Lifetime | Lifetime Value |
|---|---|---|
| Customer A | 8 months | £240 |
| Customer B | 14 months | £420 |
The products are identical. The pricing is identical. The only difference is retention. This is another reason why reducing churn often delivers such an impressive return on investment. Longer subscriber relationships naturally create more valuable customers.
If customer lifetime value tells you how much revenue each subscriber generates, Average Subscription Lifetime tells you how long they're staying with your business.
It's one of the clearest indicators of customer satisfaction, onboarding quality and the overall health of your subscription programme. The longer subscribers remain active, the more recurring revenue they generate. They also become more familiar with your products, are more likely to recommend your brand and often become your most loyal customers.
For many Shopify merchants, increasing subscription lifetime by just a few months can have a greater impact on profitability than acquiring hundreds of new subscribers.
Average Subscription Lifetime measures the typical length of time a subscriber remains active before cancelling.
A simplified calculation is:
Average Subscription Lifetime = Total Number of Subscription Months ÷ Total Number of Subscribers
For example:
| Subscriber | Subscription Length |
|---|---|
| Subscriber A | 8 months |
| Subscriber B | 14 months |
| Subscriber C | 20 months |
| Average | 14 months |
This gives you a useful overview of subscriber retention across your business. However, averages don't always tell the full story.
Many subscription businesses rely solely on the average (mean) subscription lifetime.
Unfortunately, averages can sometimes paint a misleading picture. Imagine this scenario.
| Subscribers | Subscription Length |
|---|---|
| 90 subscribers | 6 months |
| 10 subscribers | 48 months |
Those ten exceptionally loyal subscribers significantly increase the average. Most customers, however, still leave after only six months. That's why the median subscription lifetime is often more informative. The median identifies the point at which half your subscribers have already cancelled and half remain active. Because it's less influenced by unusually loyal subscribers, it often provides a more realistic picture of typical customer behaviour. Whenever possible, we recommend reviewing both figures together.
Every subscription category behaves differently.
Products consumed daily tend to create different purchasing habits from products used more occasionally. The table below provides broad directional guidance.
| Subscription Category | Typical Average Lifetime |
|---|---|
| Coffee | 8–14 months |
| Supplements | 10–18 months |
| Skincare | 8–16 months |
| Pet Food | 12–24 months |
These figures should never be treated as strict benchmarks. Product quality, pricing, competition, customer experience and subscription flexibility all influence retention. The most valuable comparison is usually your own historical performance. If your average subscription lifetime increases from nine months to eleven months, that's a significant improvement regardless of industry averages.
Looking at overall subscription lifetime is useful.
Understanding when subscribers leave is even more valuable. Many Shopify subscription businesses discover that cancellations aren't evenly distributed. Instead, they cluster around specific stages of the customer journey. A typical example might look like this.
| Subscription Month | Typical Retention Trend |
|---|---|
| Month 1 | Strong retention while excitement is high. |
| Months 2–3 | The highest cancellation period for many brands. |
| Months 4–6 | Retention stabilises. |
| Months 7+ | Loyal subscribers become increasingly stable. |
If you discover that most cancellations occur during months two and three, that's an important clue.
It suggests your acquisition strategy may be working, but your onboarding experience isn't keeping customers engaged long enough to build lasting habits.
Understanding these drop-off points helps you focus your optimisation efforts where they'll have the greatest impact.
One of the biggest surprises for many Shopify merchants is discovering that subscriber lifetime isn't fixed.
It's influenced by hundreds of small customer experiences. Every reminder email. Every successful payment recovery. Every product swap. Every support interaction. Every opportunity you give subscribers to pause instead of cancelling. Together, these moments shape whether someone remains with your brand for six months or three years. That's why we encourage merchants to think beyond individual campaigns and focus on the entire subscriber journey. Improving subscription lifetime isn't usually about one dramatic change. It's about consistently removing friction from every stage of the customer experience.
Not every cancelled subscription represents a customer choosing to leave.
In fact, some of the easiest revenue to recover comes from subscribers who never intended to cancel at all. Their payment simply failed. Perhaps their bank issued a replacement card. Their payment method expired. Their account reached its spending limit. Or their bank temporarily declined the transaction. These situations create involuntary churn. Unlike voluntary churn, where customers actively decide to cancel, involuntary churn is often highly recoverable. That's why Failed Payment Recovery Rate is one of the highest-return metrics subscription businesses can improve.
Failed Payment Recovery Rate measures the percentage of unsuccessful subscription payments that are eventually recovered.
The calculation is straightforward.
Recovery Rate = Recovered Payments ÷ Total Failed Payments × 100
For example:
| Metric | Example |
|---|---|
| Failed subscription payments | 250 |
| Successfully recovered | 175 |
| Recovery rate | 70% |
Every recovered payment represents a subscriber who continues generating recurring revenue without requiring you to acquire a replacement customer.
That's why this metric deserves far more attention than it typically receives.
Every subscription business invests significant time and money acquiring new customers.
You've paid for advertising. You've optimised your product pages. You've refined your subscription offer. You've built onboarding emails. Losing that subscriber because their payment card expired is one of the easiest forms of churn to prevent. Unlike voluntary cancellations, these customers usually haven't changed their opinion about your products. They simply need help completing their payment. That's why improving payment recovery often delivers one of the highest returns on investment of any subscription optimisation project. Rather than spending more money replacing lost subscribers, you're protecting recurring revenue you've already earned.
Recovery rates vary depending on your industry, payment provider and the quality of your recovery process.
The table below provides broad directional benchmarks.
| Recovery Rate | Performance |
|---|---|
| Below 40% | Significant opportunity for improvement. |
| 40–60% | Reasonable performance for many subscription businesses. |
| 60–75% | Strong payment recovery process. |
| Above 75% | Excellent recovery performance. |
These ranges aren't strict targets. Every subscription programme is different. The most important benchmark is your own historical performance.
Improving your recovery rate from 48% to 62% is far more meaningful than comparing yourself to another business with a completely different customer base.
Every subscription programme begins with a simple decision.
Will the customer make a one-time purchase? Or will they subscribe? The percentage of customers who choose the subscription option is known as your Subscription Conversion Rate.
While retention determines long-term success, subscription conversion determines how many customers enter your recurring revenue programme in the first place.
Improving this metric allows you to grow recurring revenue without increasing website traffic. Instead of finding more visitors, you're helping more existing visitors choose subscriptions.
The formula is straightforward.
Subscription Conversion Rate = Subscription Orders ÷ Eligible Orders × 100
For example:
| Metric | Example |
|---|---|
| Eligible product purchases | 2,000 |
| Subscription purchases | 500 |
| Subscription conversion rate | 25% |
Tracking this figure month after month helps you understand whether your product pages and subscription offer are becoming more effective.
Several factors affect whether shoppers decide to subscribe.
Some of the most important include:
Every subscription business is different, but many successful Shopify brands see subscription conversion rates somewhere between 15% and 35% on eligible products.
Some highly optimised brands exceed this, while others intentionally prioritise customer quality over aggressive conversion. Again, focus on improving your own performance rather than comparing yourself with businesses operating in completely different markets.
Numbers tell you what is happening.
Cancellation reasons tell you why it's happening. This is one of the most overlooked subscription metrics in ecommerce. Many merchants spend hours analysing churn percentages without ever investigating the reasons subscribers are actually leaving. Imagine discovering that your monthly churn rate has increased from 4% to 6%. That's useful information. But it doesn't tell you what action to take. Are customers cancelling because:
Without understanding the underlying reasons, reducing churn becomes little more than guesswork. Cancellation reason data turns subscription analytics into actionable business intelligence.
Most subscription metrics are quantitative.
They measure numbers. Revenue. Subscribers. Percentages. Growth. Cancellation reasons are different. They're qualitative. They explain customer behaviour rather than simply measuring it. That's incredibly valuable because merchants can only solve problems they understand. For example, if most subscribers are cancelling because they receive too much product, reducing prices won't solve the issue. Instead, you might introduce:
One of Recharge's most useful features is its built-in cancellation surveys.
Rather than allowing subscribers to disappear without explanation, Recharge gives merchants the opportunity to collect structured feedback during the cancellation process.
Instead of simply recording that a cancellation occurred, you also learn why it happened. This information becomes increasingly valuable as your subscriber base grows because recurring themes quickly begin to emerge. Patterns that would otherwise remain hidden suddenly become obvious.
While every subscription business is different, certain themes appear repeatedly across ecommerce.
| Cancellation Reason | Typical Improvement Opportunity |
|---|---|
| Too much product | Offer flexible delivery frequencies, pause options and skipped deliveries. |
| Too expensive | Improve value communication or introduce different subscription tiers. |
| Wanted something different | Promote product swaps or alternative products. |
| Temporary financial reasons | Encourage pauses rather than permanent cancellations. |
| Product wasn't suitable | Improve product recommendations and onboarding. |
Notice that many of these problems aren't solved with discounts. They're solved by improving the subscription experience. That's why cancellation surveys are so valuable. They help merchants prioritise improvements that genuinely reduce churn rather than relying on assumptions.
Collecting cancellation reasons isn't enough.
The real value comes from acting on what you learn. For example:
| If You Discover... | You Might Improve... |
|---|---|
| Most customers have too much product. | Offer longer delivery intervals by default. |
| Customers struggle with subscription management. | Improve onboarding and customer portal education. |
| Pricing concerns dominate. | Review subscription value, bundles and loyalty rewards. |
| Many customers want more variety. | Introduce product swaps and seasonal recommendations. |
Each insight becomes an opportunity to strengthen your subscription programme. Over time, these incremental improvements reduce churn and increase customer lifetime value.
Cancellation data shouldn't remain inside your reporting dashboard.
It should influence your lifecycle marketing. Imagine two subscribers who both cancel. Subscriber A leaves because they've accumulated too much product. Subscriber B leaves because they're looking for a different flavour. Sending both subscribers the same win-back email makes little sense. Instead, your Klaviyo flows can personalise messaging based on the cancellation reason. For example:
| Cancellation Reason | Win-Back Message |
|---|---|
| Too much product | Highlight pause functionality and flexible delivery schedules. |
| Wanted something different | Introduce new products or recommend product swaps. |
| Too expensive | Remind subscribers about long-term value or exclusive subscriber benefits. |
| Temporary financial reasons | Invite customers back whenever the timing feels right. |
For more detail on building personalised win-back journeys, see:
Together, these resources explain how cancellation insights can directly improve subscriber retention.
One of the biggest differences between average subscription brands and exceptional ones is how they respond to customer feedback.
The best merchants don't see cancellations as failures. They see them as opportunities to learn. Every cancellation contains information. Over time, those individual pieces of feedback combine into a clear picture of what's helping subscribers stay—and what's causing them to leave.
The brands that listen carefully to those signals consistently build stronger subscription programmes than those relying solely on dashboards and percentages.
The seven metrics we've covered form the foundation of a healthy subscription analytics strategy.
However, as your subscription programme grows, you'll benefit from tracking several additional metrics that provide useful context.
These secondary metrics aren't essential for every merchant from day one, but they become increasingly valuable as your subscriber base expands and your reporting becomes more sophisticated.
Think of them as supporting indicators. They rarely replace the core metrics, but they often explain why those metrics are changing.
As subscription programmes mature, merchants naturally become more interested in understanding customer behaviour rather than simply reporting revenue.
Secondary metrics help explain the story behind the numbers. They reveal trends, highlight opportunities and often provide early warning signs before changes appear in your core KPIs. Think of them as supporting characters rather than the stars of your dashboard.
The seven core metrics should remain your primary focus, while these additional measurements provide valuable context as your subscription business continues to grow.
Collecting subscription data is relatively easy.
Turning that data into meaningful business decisions is much harder. One of the biggest mistakes Shopify merchants make is spreading subscription metrics across multiple platforms. Revenue lives in Shopify. Subscription analytics sit inside Recharge. Email engagement is reported in Klaviyo. Marketing performance is tracked elsewhere. The result is fragmented reporting that makes it difficult to understand what's really happening. A subscription dashboard solves this problem by bringing your most important metrics together into a single view. Instead of jumping between platforms, you can review the overall health of your subscription programme in just a few minutes.
We recommend limiting your dashboard to the seven core metrics covered throughout this guide.
Adding dozens of KPIs often creates more confusion than clarity. A simple dashboard might look like this.
| Metric | Current Month | Previous Month | Trend |
|---|---|---|---|
| Monthly Recurring Revenue | £82,000 | £79,500 | ▲ +3.1% |
| Subscription Churn Rate | 4.2% | 4.8% | ▼ Improving |
| Customer Lifetime Value | £465 | £448 | ▲ Improving |
| Average Subscription Lifetime | 15.1 months | 14.4 months | ▲ Improving |
| Failed Payment Recovery Rate | 68% | 63% | ▲ Improving |
| Subscription Conversion Rate | 23% | 21% | ▲ Improving |
| Top Cancellation Reason | Too much product | Too much product | No change |
By displaying current performance alongside historical trends, it's much easier to identify whether your subscription programme is moving in the right direction.
One of the first questions merchants ask after calculating their subscription metrics is:
"Are these numbers good?"
It's a reasonable question. Unfortunately, there's rarely a universal answer. Subscription performance varies depending on:
Likewise, an established subscription programme with tens of thousands of subscribers will naturally report different metrics from a business that's only been operating for six months.
That's why benchmarks should always be viewed as directional guidance rather than fixed targets.
The table below provides broad reference points for many Shopify subscription businesses.
| Metric | Developing Programme | Mature Programme |
|---|---|---|
| Monthly Churn | 5–8% | 3–5% |
| Failed Payment Recovery | 40–60% | 60–75% |
| Subscription Conversion Rate | 10–20% | 20–35% |
| Average Subscription Lifetime | 8–12 months | 12–24 months |
| Customer Lifetime Value | Growing steadily | Consistently increasing |
| MRR Growth | Positive month-over-month | Sustainable long-term growth |
Remember, these figures aren't goals in themselves. They simply provide useful context.
Many merchants spend too much time comparing themselves with businesses operating in completely different industries.
A healthier approach is comparing your performance against your own historical data. Ask questions such as:
One simple way to monitor performance is assigning each metric a status.
| Metric | Green | Amber | Red |
|---|---|---|---|
| MRR Growth | Growing consistently | Flat | Declining |
| Churn Rate | Improving | Stable | Increasing |
| CLV | Increasing | Flat | Declining |
| Subscription Lifetime | Increasing | Stable | Declining |
| Payment Recovery | Improving | Stable | Declining |
| Subscription Conversion | Increasing | Stable | Declining |
| Cancellation Reasons | Known and reducing | Mixed trends | Unknown or worsening |
A scorecard like this makes it easy to identify where your attention should be focused during your monthly review meeting.
There isn't a single metric that matters more than every other.
However, churn rate often has the greatest influence because improving retention naturally increases customer lifetime value, subscription lifetime and recurring revenue.
Most Shopify merchants benefit from a monthly strategic review supported by weekly monitoring of key metrics such as churn, payment recovery and subscription conversion.
Larger subscription programmes may review these figures even more frequently.
Shopify provides valuable ecommerce reporting, but subscription-specific insights such as churn, payment recovery, pauses and cancellation reasons typically come from your subscription platform, such as Recharge.
Many merchants combine data from Shopify, Recharge and Klaviyo into a single dashboard.
There isn't a universal benchmark.
Many healthy subscription businesses aim for monthly churn somewhere around 3–5%, although acceptable levels vary depending on industry, pricing and customer behaviour.
Focus on continuous improvement rather than chasing arbitrary targets.
Customer lifetime value helps determine how much you can sustainably invest in acquiring new subscribers.
Increasing CLV also improves profitability because every customer generates more revenue over the course of their relationship with your business.
Where possible, use your subscription platform to collect cancellation reasons automatically during the cancellation journey.
Structured feedback is generally more reliable than attempting to gather information after subscribers have already left.
Successful subscription businesses aren't built by watching a single revenue chart.
They're built by understanding the behaviours that drive long-term customer relationships. The seven core metrics covered in this guide give Shopify merchants a practical framework for measuring subscription health:
Monthly Recurring Revenue
Subscription Churn Rate
Customer Lifetime Value
Average Subscription Lifetime
Failed Payment Recovery Rate
Subscription Conversion Rate
Cancellation Reasons Together, these metrics help answer the questions every subscription business should be asking:
Are we growing sustainably?
Are subscribers staying longer?
Are customers becoming more valuable over time?
Are we identifying problems before they become expensive?
Rather than treating analytics as a reporting exercise, use them as a decision-making tool. Review your dashboard consistently. Look for trends rather than isolated numbers. Experiment with improvements. Measure the results. Then repeat the process.
Over time, those small, data-driven improvements compound into stronger customer relationships, higher recurring revenue and a more resilient Shopify subscription business.
We've worked with subscription merchants who were convinced they needed more traffic, larger advertising budgets or a complete redesign of their Shopify store.
In reality, the biggest opportunities often lay hidden inside the data they already had. A small improvement in churn. A better payment recovery sequence. A stronger onboarding journey. A more compelling subscription offer. Individually, none of these changes seems revolutionary. Collectively, they can transform the economics of a subscription business. That's why we believe the most successful subscription brands aren't necessarily the ones with the biggest marketing budgets. They're the ones that measure the right things, learn from the results and continually improve the subscriber experience.