Recurflux

Here’s the uncomfortable truth: your “lost MRR” isn’t one problem, it’s a stack of small, boring ones hiding inside a single number.

The three places your MRR actually leaks

When you zoom in, “churn” usually splits into at least three buckets:

People who never activated

Signed up, clicked around, never hit a first value moment, card renews once, then they cancel.

Your dashboard calls it churn. In reality it was an onboarding failure.

People who wanted to stay, but their card failed

Expired cards, insufficient funds, 3DS/auth glitches, random bank fraud flags.

They didn’t choose to leave. Your billing system quietly pushed them out.

People who left because the promise and reality didn’t match

The hero sold “X outcome in 7 days,” the product actually delivers “smaller Y over 4–6 weeks.”

They don’t hate your product; they just bought the wrong story.

Each of those needs a completely different fix, but most analytics tools blend them into one “churn rate” and call it a day.

The failed payments slice you’re pretending not to see

Depending on who you ask, 20–40% of churn in subscription businesses is “involuntary” — failed payments and billing issues, not unhappy customers.

That’s the part that hurts because:

It’s pure infra work (retries, dunning, card updaters), not a big strategy project.

The ROI is instant: you’re recovering revenue you already sold, not buying new customers.

But it’s also the least sexy work, so founders ignore it and keep throwing effort at acquisition.

If you’re not measuring:

Gross charges vs collected cash

% of MRR lost to failed payments this month

Recovery rate within 30 days of first failure

…you don’t actually know how much MRR you “lost” vs how much you just failed to collect.

The “never activated but counted as churn” trap

This one is brutal.

If someone signs up, never uses your core feature, and cancels in month one, they didn’t churn from the product — they bounced during activation.

If you don’t put session/usage data next to churn reasons, you’ll happily ship new features to “fix” people who never really tried the thing you already have.

A simple split:

Cancelled + used core feature at least N times → real churn

Cancelled + never used core feature → activation problem

Same red line on the chart, totally different diagnosis.

How to actually answer “where did our MRR go?”

If you want a real answer instead of a story for investors, here’s a lightweight audit you can run:

Break churn by type

Voluntary vs involuntary (payment failures).

Within voluntary: activated vs never-activated.

Put events in one row

For each cancelled account, show: signup date, first value event, last active date, failure type (if any), cancel reason.

Churn without session/payment context is just vibes.

Quantify each bucket for last 90 days

“X% never activated, Y% payment failures, Z% real voluntary churn after activation.”

Now “lost MRR” has a map.

At that point, you’ll probably discover that a depressing chunk of your “lost MRR” was:

Customers who liked you fine but hit an expired card and never got a decent nudge.

Users who were never onboarded properly.

People who bought the wrong promise.

Where Recurflux fits into this

I’m building Recurflux around this exact problem: not just “your churn is X%,” but “here’s which part is failed payments, which part is activation, and which part is real product fit.”

Concretely, it focuses on the infra slice:

Detects failed and at-risk payments in real time

Runs smart retries based on error codes and timing patterns, instead of just hammering the card

Handles dunning + self-serve card updates so your team isn’t chasing declines

Surfaces “lost but recoverable” MRR as its own queue instead of a sad line on a chart

The goal: make “where did our MRR go?” a question you can actually answer — and then fix — instead of something you shrug about at month end.

If you exported your last 60–90 days of churn + payment failures, would you be able to say confidently what % was activation, what % was failed payments, and what % was real “they chose to leave”?

https://recurflux.com/

Stop the bleeding.

You're under $10k MRR. Payments are failing every month. You have nothing automated in place. And the money is just...leaving.

Not because customers want to leave. Because their card expired. Because they hit a temporary bank block. Because Stripe retried three times on a bad schedule and gave up. The subscription cancelled. You never noticed. They probably didn't either until their account stopped working.

At $5k MRR that's roughly $400 failing every month. About $240 of that is recoverable with the right retry timing and a dunning email sequence. That's not a projection. That's based on actual failure and recovery data across accounts at this MRR range.

$240/month. Sitting there uncollected. Every month you don't have this set up.

I talked to probably 40 founders in this exact position over the past few months. Same answer every time when I asked what they had in place: "Stripe handles retries."

It doesn't. Not really.

Stripe Smart Retries picks a retry time from aggregate data across millions of accounts. It doesn't know your specific failure patterns. It doesn't send a dunning email. It doesn't catch the customer who updated their card three weeks after the decline. It tries a handful of times and quietly cancels the subscription. No alert. No dashboard. No visible number.

That's why founders don't fix it. The loss is silent. Acquisition is loud. There's always something more urgent than a problem you can't see.

And every tool in this space made it worse by starting at $59/month. Which, honestly, is a real ask when you're at $5k MRR and not sure it'll work for you. So founders delay. The $240 keeps not getting collected. Some of those charges age out of the recovery window entirely.

The other thing that bothered me: most tools take a percentage of recovered revenue. 1-3%. Sounds small. But you already paid to acquire that customer. They already subscribed. A payment failure is a billing process problem. I guess what I mean is... taking a cut of the fix just didn't sit right.

So we built a $20/month plan. Flat fee. No percentage. You recover $240, you keep $240.

It's got the retry engine across 18+ decline codes, a 3-step dunning sequence, card expiry monitoring so you catch failures before they happen, and a self-serve payment portal so customers can fix their own card without emailing you.

Up to $10k MRR. One seat.

$20 in. ~$240 out. You break even on the first or second recovered payment.

First thing it does on connect is pull 90 days of historical payment data and show you your actual gap. Your number.

Not industry benchmarks. Because that's the only thing that actually breaks the avoidance pattern — not the price, not the copy. Just making the invisible loss concrete and specific.

If you're under $10k MRR and you've been meaning to deal with this, that's exactly who we built this for.

https://recurflux.com/

you open your dashboard.

MRR: $10,200
Active subs: 127
Churn: 6.2%

looks fine. maybe churn is a little high, but you've seen worse.

then you check stripe logs.

8 payment failures this week. 3 cards expired. 5 more in retry. 2 downgrades that turned into cancels 9 days later.

suddenly that 6.2% has a story. and half of it wasn't people leaving — it was billing breaking quietly in the background.

the invisible half of churn

most dashboards show you one number: total churn.

what they don't show:

• how much was involuntary (failed payments, expired cards, bank declines)

• how much was voluntary (people who clicked cancel and left)

those are completely different problems.

one is a product issue. the other is a billing infrastructure issue.

but because they're lumped into the same metric, founders spend weeks fixing onboarding when the real leak is in stripe's retry queue.

what the split actually looks like

here's what we see when we break it down:

at $10k MRR, typical monthly churn = $600–$1,200

of that:

• 20–40% is involuntary (cards failing, expirations, declines)

• 60–80% is voluntary (conscious cancellations)

so $120–$480/month is leaking through payment infrastructure alone.

over a year: $1,440–$5,760 you could have recovered if you'd caught it in the first 24–48 hours.

most founders never see that breakdown.

stripe already knows. your dashboard doesn't.

stripe fires events for every moment that matters:

• invoice.payment_failed → payment declined

• customer.source.expiring → card expiring in 30 days

• customer.subscription.updated → downgrade (often a pre-cancel)

• payment_method.detached → card removed

it's all logged. all timestamped.

but it lives in webhooks and logs, not dashboards. and after ~30 days, it starts to fade.

so when you look back at last month's churn spike, all you see is the line going down — not the story of what caused it or how much was saveable.

the question most founders can't answer

if your MRR dropped last month:

• how much was failed payments?

• how much was people choosing to leave?

• how many failures could you have recovered if you'd known in time?

if the answer is "i don't know," you're solving churn blind.

what recurflux shows instead

recurflux connects to stripe and surfaces the split your dashboard hides:

• involuntary vs voluntary churn — see the real breakdown

• who's in dunning right now — customer, plan, retry count, time left

• downgrades that became cancels — and how fast it happened

• trials that expired with zero intervention — missed opportunities

instead of "churn was 6.2%," you see:

• "$240 failed in retries"

• "3 downgrades → cancels within 2 weeks"

• "12 trials ended, 0 emails sent"

suddenly the fixes are obvious.

one question

can you tell me right now how much of your churn last month was failed payments vs people choosing to leave?

if not — that's the gap recurflux fills.

https://recurflux.com/

most SaaS founders know their churn rate.

very few can answer a simpler question:

"how much of this churn was people choosing to leave vs payments silently failing?"

stripe already knows that answer.

most dashboards don't.

the part of churn you never see

when churn goes up, the default story is:
“users didn’t get enough value” or “onboarding isn’t good enough.”

but a non‑trivial slice of churn is just:

• cards expiring

• banks declining

• retries failing in the background

• subscriptions cancelling after the last attempt

no feedback form. no angry email. just subscriptions quietly dropping out of the bottom of stripe.

same number on your churn chart, completely different problem to solve.

stripe is already raising its hand

out of the box, stripe fires events like:

• invoice.payment_failed — payment failed, short window to recover it

• customer.subscription.updated — plan change, including downgrades

• customer.subscription.trial_will_end — trial about to end

• payment_method.detached — card removed

these are basically leak signals.

the issue isn’t that the data doesn’t exist — it’s that it lives in logs and webhooks instead of in the place most founders look every day.

after ~30 days, even that history starts to fade.

why i'm building recurflux

i’m building recurflux because i want one simple thing as a founder:

instead of “churn was 6.2% this month,”
i want:

• “this much was failed payments that could have been recovered,”

• “this much was downgrades that turned into cancels,”

• “these trials died without a single touch.”

recurflux connects to stripe and:

• pulls in as much historical data as the api allows,

• listens to webhooks going forward,

• groups events by customer and subscription so you can see the actual story, not just the outcome.

the goal is not magic retention. it’s visibility: a map of where money is leaking so you can decide how to patch it.

why i think it should pay for itself

recovering a single failed payment at $79/month is $948/year.

if a tool that watches for these leaks costs less than that, it doesn’t need to be a miracle — it just needs to help you notice and save a few of the payments you were already supposed to get.

that’s the bar i’m trying to hit with recurflux.

if yoy want to see your leaks

stripe integration is live and i’m onboarding early teams now.

if you’re running a subscription product on stripe and you don’t have a clear breakdown of:

• involuntary vs voluntary churn

• how much sits in retries

• how downgrades lead into cancellations

you can plug in your account and see what falls out.

if recurflux doesn’t surface at least one meaningful leak or opportunity to save revenue, it’s not doing its job — and you’ll know that quickly.

join here: https://recurflux.com/

most tools cost you money to run. this one recovers it.

if you're doing $10k MRR on a subscription product, you're losing somewhere between $1,500 and $4,000 a month to churn you never see coming. not because your product is bad. because the signals were there and nothing was watching them.

we just shipped stripe integration for recurflux. and what we found when we connected the first accounts was the same thing every time: the data was already there. stripe had been logging it for months. nobody had built anything around it.

what stripe already knows

stripe fires a webhook for everything. payment failed. card declined. subscription downgraded. dispute opened. trial ending in 72 hours. card removed.

it's all timestamped. it's all in the logs. and it expires in 30 days.

the events that actually move the needle:

• invoice.payment_failed - card declined. 48-hour window to recover before they mentally cancel.

• customer.subscription.updated - someone just downgraded. this is not a win. this is a countdown.

• customer.subscription.trial_will_end - trial expires in 3 days. do you have anything firing?

• charge.dispute.created - a chargeback just opened. you'll find out about it later this week, probably.

• payment_method.detached - card removed. they're gone.

all of this is in the stripe docs.most subscription businesses just have nothing built around it.

why saving it matters

stripe keeps 30 days of event history. after that, it's gone.

so when you get a churn spike in june and go looking for why, all stripe shows you is the revenue number dropping. you can't tell if it was involuntary (failed payments, expired cards) or voluntary (people who made a decision to leave).

those need completely different responses.

treating them the same is how founders spend three months redesigning onboarding when the actual problem was a dunning gap.

recurflux pulls your full stripe history the moment you connect, then captures every webhook in real time from that point. not just what happened. the full sequence of events that led to it, tied to the subscription and the customer.

involuntary churn: the money sitting in stripe's retry queue

involuntary churn is failed payments. expired cards. bank flags. the customer didn't decide to leave, billing infrastructure failed silently and nobody noticed.

for most subscription businesses this is 20–40% of all churn. and most of it is recoverable within 48 hours if you know it's happening.

stripe has Smart Retries. they run quietly in the background. you have no visibility into who's mid-dunning, how many attempts have fired, or how close someone is to being dropped.

recurflux surfaces all of that.

the moment invoice.payment_failed fires, you see it, customer name, plan, retry count, time in dunning. you have a window. what you do with it is up to you.

voluntary churn: it almost always leaves tracks

someone made a call to leave. harder to stop. but rarely sudden.

the signal most people miss: a downgrade is a pre-cancel, not a save.

when someone moves from your $79 plan to your $29 plan, they are not staying. they're buying time while they decide what's next.

stripe fires customer.subscription.updated at that moment. most founders have nothing hooked to it.

recurflux captures the full sequence: downgrade date, usage drop-off, cancel date.

in hindsight it's always obvious. the window is before the cancel, not after.

we also tie cancellation reasons to subscription history; which plan churns most, at what point in the lifecycle, after what kind of activity.

over time the pattern gets specific enough to act on instead of guess at.

the math

recovering just one failed payment at $79/month is $948 a year.

recurflux costs less than that.

that's what pays for itself means.

early access

stripe integration is live. early access is open now.

apply code EARLY40 to get early 40% off, and 3 months free if you leave a review and refer another founder.

connect your stripe account and see what’s been firing in the background.

if it doesn’t pay for itself, you’ll know in the first week.

join now: https://recurflux.com/

Most Stripe founders are fighting the wrong kind of churn.

They focus on cancellations. The customer clicks cancel and leaves. That is voluntary churn, and yes, it hurts.

But there is another type quietly draining your MRR every month that most founders never even notice. Involuntary churn.

These are payments that fail, get retried silently in the background, and then just stop. No email to the customer. No prompt to update their card. No clear signal in your dashboard. Just revenue that was there last month and is gone now.

And here is the uncomfortable truth. Involuntary churn is often bigger than voluntary churn. And most of it is recoverable.

Let’s look at how you are actually losing customers.

Voluntary churn is when someone decides to leave. Maybe they are unhappy, found an alternative, or no longer see the value. Fixing this takes real work on product, pricing, and positioning.

Involuntary churn is very different. A card declines. Stripe retries the payment a few times in the background. All retries fail. The subscription gets marked past due or cancelled. The customer never gets notified. In many cases, they do not even realize they churned.

Stripe Smart Retries only handles timing of retries. It does not communicate with your customer. There is no email sequence, no card update prompt, no recovery flow, and no option to pause or downgrade before cancellation. Stripe handles payments. Everything around recovery is left to you.

We asked founders to pull their actual numbers instead of guessing.

Here is what we consistently see:

• Around 11 percent of payments fail

• Only about 38 percent of those ocasionally get recovered with default Stripe setup

At 25k MRR, that is roughly 1700 dollars lost every month from failed payments alone. These are customers who likely still wanted your product.

Now add voluntary churn on top. If you are losing another 2 to 3 percent of customers to cancellations, your real churn problem is much larger than what your dashboard suggests.

The good news is that a big part of this is fixable.

A proper setup looks like this:

• Send an email the moment a payment fails explaining what happened

• Follow up a few days later with a direct card update link

• Retry payments when failures are most likely to resolve

• Add a cancellation flow that offers pause or downgrade instead of a hard exit

That last part is underrated. When someone tries to cancel or hits a payment issue, giving them a softer option like pause or downgrade saves a meaningful percentage of customers. It helps with both voluntary and involuntary churn in the same flow.

In most cases, this alone can move recovery from around 38 percent to 70 percent or more, while also reducing avoidable cancellations.

I built Recurflux to handle exactly this. It adds the missing recovery layer on top of Stripe with email sequences, card update flows, smarter retries, and cancellation flows with pause and downgrade options. Not another dashboard. Just the system that actually prevents churn.

Connect your Stripe account at recurflux.com and see your real failure rate, recovery rate, and how much revenue you are losing every month. It takes a few minutes and it is free.

How are you currently handling failed payments and cancellations?

Have you built something yourself, using a tool, or just relying on Stripe defaults?

Or you just blam the product for all churn and keep changing the product?

RevenueCat is great… until you realize how much money it doesn’t recover for you.

If you’ve built a subscription app, you already know this pain.

Cards fail and users disappear. Grace periods end and recovery never happens. Win-back emails go out too late, or not at all. iOS and Android behave differently, which makes everything harder.

And then you’re stuck guessing where the revenue actually went.

We kept running into this ourselves, so we built the missing layer on top of RevenueCat. not a flashy dashboard. Not another analytics tool. just the stuff that helps you actually recover revenue.

Email dunning triggered by RevenueCat billing_issue events

Apple-compliant subscription pause portal

Win-back flows on Day 1, 7, and 30 after expiration

Store-aware recovery for App Store vs Play Store

Grace period dashboard so you can see who’s at risk before they lapse

Cancellation reason routing so your copy matches why they left

iOS and Android recovery analytics split

SMS dunning for mobile users

Auto-stop when someone reactivates, so you don’t keep spamming them

Branded payment update portal

90-day backfill when you connect

Full control over templates, timing, and messaging

The goal is simple : Recover revenue you were probably already losing.

If you’re already on RevenueCat, this plugs into your stack here:

https://recurflux.com/for/revenuecat

Most recovery tools were built for Stripe. If you're on Razorpay, you've been watching features that don't apply to you. UPI doesn't exist in those tools. Razorpay's error codes aren't mapped. The retry logic doesn't account for how Razorpay handles halted subscriptions.

So we built the thing that actually works for Razorpay.

Recurflux now connects to Razorpay. When a subscription payment fails, we catch it, classify it, and retry it at the right time. Expired card, insufficient funds, OTP timeout, bank network error, each one gets treated differently because they recover differently.

If retries don't work, here's the part that's specific to India.

We create a Razorpay payment link with UPI enabled and send the customer a recovery email. They tap it, pay through GPay, PhonePe, Paytm, whichever they use, and the subscription continues. No card required. The link stays open for 7 days. We handle the email ourselves so the copy and timing are actually good.

That's the thing no Stripe-native tool gives you. UPI as a recovery path is real in India in a way it isn't anywhere else, and we built around that.

Building this honestly took longer than we planned. Razorpay's webhook payload structure is different from every other processor we've integrated. Their SDK is missing the charge method for subscriptions entirely, so we had to call the raw endpoint directly. Subscription state has to be checked before every retry attempt because their halted state doesn't behave the way you'd expect. We mapped around 50 error codes to build the classifier.

None of it was impossible. It was just a lot of surface area that isn't documented anywhere obvious.

if you're on Razorpay and you've never looked at how many subscription payments are failing silently each month, that's probably the most useful thing you can do in the next 10 minutes. open your dashboard, filter by failed payments in the last 30 days, add them up.

when you're ready to do something about it, connecting Razorpay to Recurflux takes about 10 minutes and requires no code.

recurflux.com

still finding edges in Razorpay's API. if you've built on it and hit things i didn't mention, i'd genuinely like to hear from you.

Every churn tool out there was built for Stripe. You're sitting on a RevenueCat stack, watching failed payments silently kill your MRR, and the best advice you find is "email them manually."

We got tired of seeing that. So we built Recurflux specifically for RevenueCat and we want to be completely honest about what it does and what it doesn't.

Why RevenueCat?

Because no one was here. Stripe users have five options for dunning and recovery. RevenueCat users have basically nothing purpose-built. That felt like a real problem worth solving, so here we are.

What we actually built

Smart dunning sequences that email your at-risk subscribers before they're gone, a compliant subscription pause flow for Apple and Google Play, win-back sequences for users who already churned, and a proper dashboard so you can actually see what's happening,recovered, at-risk, lost, recovery rate.

Rise at $29/mo covers you up to $75k MRR with email dunning on day 1, 3, 7, logo and color customization, win-back sequences, 90-day historical sync, monthly ROI digest, and CSV export.

Surge at $79/mo covers up to $250k MRR and adds 6-touch dunning sequences through day 30, full template editor with A/B testing per step, open and click tracking, SMS dunning, Slack and Zapier alerts, 5 team seats, and API access.

Rule is for $1M+ MRR with custom pricing, BigQuery and Snowflake sync, SSO, a named CSM, and a 99.9% SLA.

What we don't have and why

No smart retries. No card health monitoring. No dispute management.

not because we didn't want to build them, RevenueCat doesn't expose the billing layer in a way that lets us do it. Stripe lets tools hook into retry logic and card data directly. RevenueCat doesn't. We're not going to fake it or overpromise something we can't actually deliver.

Why is the pricing low?

Because if we can't give you the full recovery stack that Stripe users get, we're not going to charge you like we can. simple as that.

$29/mo pays for itself the moment you recover one subscriber. We'd rather earn your trust with honest pricing now and grow with you as the platform opens up more.

If you're on RevenueCat and involuntary churn is eating at you, we'd love for you to try it. And if you've tried other tools that didn't work for your stack, drop a comment, genuinely curious what broke down.

get your ROI for RevenueCat: " https://recurflux.com/resources/revenuecat-churn-calculator "

Stop leaving recovered revenue on the table: " https://recurflux.com/ "

i want to talk about something most SaaS founders only think about after it's already hurting them.

churn.

not just the "my product isn't good enough" kind. all of it. the customer who decided to leave. the customer who got dropped because a card failed. the customer who hit cancel but would have stayed if you'd just asked the right question at the right moment.

subscription revenue leaks from two places and most tools only patch one of them.

recurflux patches both.

two types of churn. one system.

there's voluntary churn -- a customer consciously decides your product isn't worth it anymore and clicks cancel. and there's involuntary churn -- a customer who actually likes your product gets dropped because a payment failed at 3am and nobody caught it.

both are killing your MRR. but they need completely different responses.

most dunning tools only care about failed payments. most retention tools only care about the cancel button. recurflux is the first system built to handle the entire churn surface -- before a payment fails, during a cancellation attempt, and after a customer is already gone.

setup is under 5 minutes. no dev work. once it's live it runs on its own.

the voluntary side: catching customers before they're gone

when someone hits cancel, that moment is not over yet. most SaaS products just... let them go. one confirm dialog and they're out.

recurflux intercepts that moment with a cancellation flow you actually control. pause for a month. drop to a lower plan. get a one-time discount. you build the options, recurflux handles the timing and delivery.

40 to 60% of customers who choose to pause end up resuming their subscription. compare that to 10 to 15% who come back after a full cancellation. that gap is real revenue you're leaving on the table every month.

and for the ones who do cancel anyway, a win-back email sequence fires automatically in the background. some of them come back. most tools don't even try to bring them back.

the involuntary side: revenue that disappears quietly

a payment fails. your processor sends a generic webhook. maybe you send one "update your card" email. customer doesn't see it because it landed in promotions. subscription cancels. you never find out why.

this is happening right now in your billing data. silently.

recurflux handles 30+ failure codes differently because they ARE different problems. an expired card needs different timing than an insufficient funds decline. a suspected fraud block needs different language than a generic bank rejection. smart retries, multi-step dunning over email AND SMS (SMS open rate is 98% vs 20% for email), and a hosted payment portal on your domain where customers can fix it themselves in 30 seconds.

plus card health monitoring watches your active subscriptions for cards about to expire before they fail -- so you're getting ahead of it instead of chasing it.

dispute protection: the part everyone ignores until it's too late

chargebacks sit at the intersection of both churn types. sometimes it's a customer who forgot they subscribed. sometimes it's a failed payment that got retried at the wrong time and they panicked.

either way, if your dispute rate crosses 1%, Visa flags your account. processors freeze payouts, hold reserves, or terminate your merchant account entirely.

recurflux catches pre-dispute alerts from Visa and Mastercard before a chargeback is officially filed. fixes your billing descriptor so customers actually recognize the charge. builds automated dispute responses using your own transaction data. one bad month without this in place can set you back 6 months of growth.

all 13 features

1. Card Health Monitoring

2. Subscription Pause instead of Cancel

3. Dispute Protection

4. SMS Dunning

5. Smart Retry by Failure Type

6. Payment Recovery Emails

7. Hosted Payment Portal

8. Recovery Dashboard

9. 90-Day Historical Sync

10. Checkout Recovery

11. Cancellation Flow Builder

12. Win-Back Email Sequence

13. Web and Mobile Billing -- one recovery system

works across Stripe, Paddle, Razorpay, and RevenueCat. connect any processor in under 60 seconds.

you see everything. you control everything.

recovery runs automatically but nothing is a black box. every failure logged. every email template editable. every retry rule configurable. set your retry window, priority threshold, portal subdomain, accent color. connect Slack for live recovery alerts.

every failed charge shows up in one table with live status -- RECOVERED, RETRYING, AT RISK, or LOST. you know exactly where every dollar stands.

the pricing

all 13 features. one plan. $59 per month.

no per-seat pricing. no feature gating. no "you need enterprise for cancellation flows."

the math works from day one -- if recurflux saves even one $60 subscription a month, it pays for itself. most users see 5 to 20x that in the first 30 days, across both sides of churn.

live in under 5 minutes: recurflux.com

if you're running subscriptions and you're only managing one side of churn, you're flying half blind. your analytics dashboard probably isn't even showing you the full picture of what you're losing.

drop a comment if you want to talk through what your current churn breakdown actually looks like. happy to dig into it.