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0
Way below baseline
Now live — 28% off for the first 50 founders
See churn beforeyour billing dashboard does.
DropFix watches every product event, flags the users about to leave, and drafts the win-back email — usually 14 days before your billing dashboard catches on.
No credit card · Setup in 6 minutes · Cancel anytime
$2,615
Avg MRR recovered / mo
14d
Earlier than billing
90+%
Reply rate on AI drafts
Founders shipping with DropFix
OrbitlyHQLedgeraCloudOpsTriggrBrieflyPulseDeskFlowHiveWeavelyOrbitlyHQLedgeraCloudOpsTriggrBrieflyPulseDeskFlowHiveWeavely
THE QUIET CHURN PROBLEM
Users go quiet 14 days before they cancel.
Most founders find out from Stripe — when the MRR has already left. By then, no email, no offer, no good move is left.
app.dropfix.io/dashboardlive
Welcome Back Febin
8 critical signals waiting on action.
Critical state
FJ
Tracked users
0
+128 this week
MRR at risk
$0
8 users critical
Recovered MRR
$0
No actions taken
Health score
At-risk
0%
● Healthy 18%● At-risk 42%
User activity (last 30d)
↓ 38%Recent events
Last activity 6h agoMaya P.
Stopped exporting
2h ago
Arjun M.
Last login was 11d
4h ago
Nila S.
Plan check 3x · idle
6h ago
The Problem
Churn is quiet.
That's why you keep losing it.
By the time the cancel email arrives in your inbox, the user has been drifting for two weeks — and three solvable problems are stacked on top of each other.
01QUIET DRIFT
They drift for 14 days before they cancel.
The decision to leave isn't made on the cancel page — it's made when the daily logins fade and the once-loved features go untouched. By the time billing notices, the choice is already locked in.
Sessions / day
↓ 94% over 12 daysD-12D-9D-6D-3Today
cancel clicked
Drift starts
Day -10
02TOO MUCH NOISE
You have the data. You don't have the hours.
PostHog, Mixpanel, your warehouse, your Stripe dashboard. The signal is in there somewhere. But turning 1.2M events into "Maya is about to leave, here's why" is a full-time job no founder can afford.
⌘
1.2M / dayevents.stream
page_viewed:/pricingfebin@+002ms
session_endmaya@+007ms
invoice_exportedarjun@+011ms
payment_failedfenil@+018ms
feature_skippedachu@+023ms
report_generatednila@+031ms
cancel_intentnila@+034ms
session_startliam@+040ms
1.2M events / day
Which 3 matter right now?
No founder has time to answer.
03WRONG MESSAGE
Even when you find them, you don't know what to say.
Generic "we miss you" emails are deleted in two seconds. A short, specific note about exactly what they stopped doing — that gets a reply. Writing that one-by-one for every at-risk user is the actual work.
✕Generic blast2% reply
“Hey, we miss you! Come back and check out what's new…”
vs
✓DropFix draft38% reply
“Hey Febin — noticed you haven't exported invoices in 12 days. Did Tally take over, or did something break in our flow?”
Generated because
last_seen 12d agoskipped exports ×3/pricing viewed 2×
The Solution
Three layers.
One workflow.
Detection, diagnosis, and recovery — handled together so you act on the right user with the right message before the window closes.
LIVE SIGNAL
last 24h↑ spike
01DETECT
Catch the drift early.
Continuous behavioural baselines. The moment a healthy user trends like a leaver, a signal lands in your dashboard with the why attached.
Health scoreupdated 4s ago
A
Aarav · Pro
88
M
Maya · Free
42
N
Noor · Pro
23
02DIAGNOSE
See who's at risk and why.
Per-user health scoring, not vanity dashboards. You see the at-risk users ranked, the events that flagged them, and what changed.
To: maya@orbitly.io● drafting
Did Tally take over, or did we break it?
Hey Maya — noticed you stopped exporting invoices about two weeks ago. If we broke something in our flow, I'd love 10 minutes to fix it.
✓Sent · reply expected
03RECOVER
Send the right message, fast.
Win-back drafts written from full event context. You read it, edit it, send it from your inbox. Recovery in under a minute.
How it works
Three steps.
Then it runs itself.
This is the entire setup. After step 3, DropFix watches every session, learns your baselines, and fires a signal the moment something drifts.
index.html
<head>
...
<script
src="https://cdn.dropfix.in/df.js"
data-key="pk_live_••••••"
/>
</head>
// ✓ tracking starts in < 200ms
01SCRIPT · 30 SECONDS
Paste one tag into your <head>.
DropFix loads asynchronously, detects every page view, every interactive click, every fetch — automatically. No manual event tracking. No SDK plumbing.
auth-provider.tsx
// In your root auth provider
useEffect(() => {
if (!user) return
DropFix.identify(user.id, {
name: user.name,
email: user.email,
plan: "growth",
mrr: 49,
})
}, [user?.id])
// ✓ risk scores update in real-time
02IDENTIFY · ONE LINE
Tell DropFix who's logged in.
Call DropFix.identify(user.id) inside your auth provider — works with Clerk, Supabase, NextAuth, Auth0, or your own auth. Every captured event is now linked to a real person, in real time.
dropfix · stripe connect
DDropFix
$Stripe
Connect with Stripe →
Live webhook stream
customer.subscription.updated
0.3sinvoice.payment_failed
0.4scustomer.subscription.trial_ended
0.7s03STRIPE · ONE CLICK
Connect Stripe in one OAuth click.
Zero code. DropFix reads your customer list, trials, and payment status, then routes payment failures into dunning and trial expirations into conversion nudges — automatically.
AFTER STEP 3
DropFix runs on autopilot.
Watching every session. Scoring every user. Firing a signal the second the drift starts. You just act on the alert.
Drift detected
→Score updated
→Draft generated
→You click send
Features
Everything in the box.
None of the bloat.
Detection, drafts, digests, integrations, interceptors. The full churn-recovery loop — built in, on every plan.
10
Built-in
churn signals
Fires in the background. You just act on the alert.
Going cold, trial drop, payment failed, lapsed subscription, pricing-page heat, feature abandonment, session drop, cancel intent, power user, stalled onboarding — all detected from the same script tag.
· going_cold· trial_drop· payment_failed· subscription_lapsed· pricing_revisit· feature_drop· session_drop· cancel_intent· power_user· stalled_onboarding
✦Claude-powered
AI win-back drafts.
Claude writes a short, personal note based on what that user did and stopped doing. You edit it. Send from your inbox via Gmail.
▶ Drafted in 1.4s
Health score
0–100 per user, hourly.
Scored against each user's own baseline — not a generic global average that flatters everyone.
Daily digest
3 users every morning.
Ranked by urgency. Email + in-app. Act in under three minutes from your phone.
1Febin · risk 92
2Maya · risk 84
3Liam · risk 71
Feature heatmap
Retained vs. churned.
Which features do retained users use that churned users skip? MoM delta per feature, scored automatically.
Slack alerts
Critical signals, in your channel.
Cancel intents and payment failures ping Slack the moment they fire. Reply or open the user from your phone.
#churn-alerts· now
DropFix — Maya · risk 92 · open profile
Cancel interceptor
Catch them at the door.
Modal triggers on the cancel click — pause, discount, or talk-to-founder in one tap.
Wait — before you go
Pause
−30%
Chat
Trial lifecycle
Auto-nudges, perfectly timed.
Day 3 setup nudge, day 10 conversion push, day 13 last-chance email. Convert trials without lifting a finger.
D3
D10
D13
$
Stripe Connect
Payment recovery, automated.
OAuth-connect Stripe. Failed-payment events auto-trigger our 3-step dunning sequence — hour 0, 24, and 72.
invoice.payment_failed
0hdunning.gentle_nudge
24hdunning.last_chance
72h✉
Gmail send
Sent from your own inbox.
Win-back drafts go out via Gmail OAuth — so they land in primary, not promotions, and replies come straight to you.
From: founder@grow.app
Did Tally take over, or did we break something?
</>
App model
Your event taxonomy, AI-named.
One CLI command. Claude scans your source, names every interactive element, you approve.
invoice_exported96%
team_invited92%
report_generated88%
Weekly recap
Your Monday founder email.
Every Monday at 9am: MRR pulse, health snapshot, signals fired, win-backs sent, what to do this week. 60-second read.
Mon · 9:02am↑ +$294
MRR up $294. 7 signals fired. 3 win-backs sent.
User notes
Context that survives signals.
Pin a note on any user — “asked about SAML”, “tried to cancel in Mar, kept after discount”. Stays attached forever.
Maya · 2 weeks ago
Asked about Tally export — said she'd revisit if we shipped CSV batch. Watch invoice_exported next month.
Pricing
Pricing that doesn't hide.
Start free, upgrade when you outgrow the limits. The first 50 founders get 28% off Growth and Scale — locked in for life.
Now live · 47 founder slots left at launch price
What's included
- Up to 100 tracked users
- 3 AI win-back drafts / month
- All 9 churn signals included
- Per-user health scoring (0–100)
- Daily digest + weekly summary email
- Feature heatmap + cohort analytics
- Stripe Connect — payment failure recovery
- Auto event tracking + AI naming (CLI)
Most popular · 28% launch discount
What's included
- Everything in Starter, plus:
- Up to 500 tracked users
- 50 AI win-back drafts / month
- Slack alerts on critical signals
- Gmail integration — send from your inbox
- Trial lifecycle automation (D3 / D10 / D13)
- Cancel-intent detection & interceptor
- Email + community support
What's included
- Everything in Growth, plus:
- Up to 2,000 tracked users
- Unlimited AI win-back drafts
- Cancel reasons board for retros
- Custom signal thresholds
- Audit log + exportable history
- Priority support — same-day reply
- Founder onboarding call (30 min)
✓14-day free trial✓No credit card to start✓Cancel anytime, keep your data
Compare
Why founders pick DropFix
over the rest.
PostHog and Gainsight are great for analytics teams. DropFix is built for solo founders who need answers, not dashboards.
Loved by founders
Founders are saying
the quiet part out loud.
From the Reddit threads where indie SaaS founders argued about how to actually fix churn. They kept landing on the same answer: it's not the email — it's knowing who and when.
This is exactly it. The emails are the easy part — most founders can write a good check-in message. The hard part is knowing that James went quiet on day 8, that Sarah's payment failed yesterday, that Tom signed up 12 days ago and never touched the core feature. That's the layer that's missing.
A
u/Affectionate_Soup746
rvia Reddit
The real moat isn't the copy — it's knowing who needs help and when to reach them. Simple, relevant emails consistently beat fancy automations.
M
u/Motor-Ad2119
rvia Reddit
Copy is not the hard part. The timing is. If you send it based on weak signals like last login only, it can get noisy fast. Core feature usage — the missed aha moment — that's the real signal here.
A
u/Altruistic_Cream4771
rvia Reddit
The timing is the whole product here. Anyone can write these three emails in an hour, but knowing exactly which user to send which one to and when is the actual hard problem.
F
u/freeloader24
rvia Reddit
We tried last login first, response rate was terrible because loads of our inactive users had kept the app open in a tab for weeks. Switching to real event data more than doubled replies.
C
u/curious_dax
rvia Reddit
Failed-payment email timing matters a lot. Hour 0, hour 24, and hour 72 with different tones — card issue, gentle nudge, we'll pause your account tomorrow — recovers meaningfully more than a single email.
C
u/Crescitaly
rvia Reddit · SaaS advisor
FAQ
Questions
founders ask.
Something not answered here? Email hello@dropfix.in — we reply within 24 hours.
Start 14-day free trial
No credit card · Cancel anytime
Any unique user ID that has ever called DropFix.identify() in your app. Anonymous visitors and page views are not counted. Free covers 100 identified users, Growth 500, Scale 2,000.
Your users are trying to tell you something. Let DropFix listen for you.
Start free, set up in minutes, and only pay as you grow.