Finmarq rebuilds the behavioral triggers between signup and habit. Activation, lifecycle, and retention, rebuilt under one accountable team and measured against your revenue, not vanity opens.
We map every drop off between install and funded account, then quantify the revenue leaking out of each step of the funnel.
We rebuild onboarding and lifecycle sequences around behavioral triggers and real intent signals, not calendar based sends.
Retention loops that stack. Every cohort activates faster and churns slower than the last, compounding LTV over time.
Drag the sliders to your real numbers. This is the same first-pass diagnostic we run in an audit, turned into something you can play with in ten seconds.
We map every drop-off from install to funded account and put a number on each leak — so we know exactly where the revenue is going.
We rebuild onboarding and lifecycle around real behaviour and intent, not calendar sends, starting with the biggest leak first.
Retention loops stack, so each new cohort activates faster and churns slower than the one before it.
Four quick questions. We'll pinpoint the stage most likely bleeding your revenue, and point you to a matching teardown.
Users who install, activate once, and quietly disappear before they ever fund.
Onboarding and lifecycle rebuilt around what each user actually does, not the calendar.
Cohorts that activate faster, churn slower, and compound in value quarter after quarter.
If our rewritten sequences don't outperform your baseline conversion rates within 30 days, we cut your remaining balance in half. Our upside only shows up when yours does — that's the whole deal.
Finmarq is a small team of product, lifecycle, and growth people who have shipped inside fintech companies. We do not run campaigns and hand you a report. We rebuild the machinery that turns a signup into a funded, loyal customer.
A world where fintech teams stop guessing at retention and start engineering it. Where every cohort is worth more than the one before it, and marketing spend finally compounds instead of leaking away.
We measure our work in funded accounts and retained cohorts, never in opens and clicks. If it does not move revenue, it does not count.
We take responsibility for the whole path, from first session to funded, retained account. No hand offs, no finger pointing.
Every change ships as an experiment with a measured result. The cohort data decides what stays, not the loudest voice in the room.
We design retention loops that stack, so growth gets cheaper and steadier over time instead of resetting every quarter.
We work only with fintechs, from seed stage apps finding their first retention curve to scaled platforms defending millions in recurring revenue. Neobanks and wallets, trading and investing apps, lending products, and payments teams.
Our clients are based both in India and around the world. Funnels behave differently across markets, regulations, and payment rails, and we build for that reality rather than around it. Wherever your users are, domestic or international, we help you keep them.
Most agencies sell you a channel. We own the full path from first session to funded, retained account, and we report on revenue, not activity.
We rebuild onboarding around the first value moment. Fewer steps, sharper triggers, faster time to funded.
Behavioral sequences keyed to real intent signals like dormancy, deposit, and drop off, not calendar sends.
High velocity experimentation on the money paths: paywalls, KYC, checkout, upgrade.
Hover or tap any stage to see where the revenue drains out, and exactly how we seal it.
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Illustrative engagements. Client names are anonymized, the mechanics are real, and the numbers reflect measured 90 day cohort deltas.
Three teardowns in depth. Illustrative examples with client names withheld. The mechanics and the measured 90 day cohort deltas are real. Open any one for the full before and after.
A licensed neobank with strong install volume but a shallow retention curve. Users funded once during onboarding, then drifted away inside the first month. We rebuilt the first week around first-transaction intent — and let behaviour, not the calendar, decide every message.
Paid installs were healthy and the funded-during-onboarding rate looked fine on the dashboard. But the retention curve fell off a cliff in week two. The team was sending lifecycle email on a fixed calendar, so a dormant user and a daily power user got the same message on the same day. Nothing in the system reacted to what a user had actually done.
| Metric | Before | After | Delta |
|---|---|---|---|
| D30 retention | 19% | 26% | +38% |
| Second-transaction rate | 38% | 79% | 2.1× |
| Weekly actives (indexed) | 100 | 127 | +27% |
| Messages per active user | 100 | 72 | −28% |
Illustrative engagement. Client anonymized. Figures are measured 90-day cohort deltas.
The win was not more sends. It was sending the right thing the moment intent appeared — and staying quiet the rest of the time.
We'll map where your funnel leaks and what it's costing you, before you commit to anything.
A cross-border trading app spending heavily on installs, but bleeding most of them before a single trade. The activation gap was quietly doubling their real cost per funded user. We shortened the path and built a way back for people who stalled.
Install numbers looked great and the marketing team was hitting its targets. But onboarding asked for everything up front — nine screens of forms and verification before a user could do anything. Most people never reached the first trade, so the acquisition spend was buying installs, not customers.
| Metric | Before | After | Delta |
|---|---|---|---|
| Funded-account conversion | 12% | 41% | 3.4× |
| KYC drop-off | 47% | 28% | −41% |
| Cost per funded user (indexed) | 100 | 67 | −33% |
| Screens to first trade | 9 | 4 | −5 |
| Mid-verification recovery rate | 0% | 18% | +18pp |
Illustrative engagement. Client anonymized. Figures are measured 90-day cohort deltas.
Every field we removed before the first trade paid for itself in funded accounts.
We'll find the exact drop points and what they cost, before you commit to anything.
First-loan conversion was strong, but borrowers rarely came back — so acquisition never paid off. We resequenced the entire post-repayment lifecycle around the next borrow, and stopped treating a repaid loan as the end of the relationship.
The app was good at getting a first loan out the door. The problem came after: once a borrower repaid, the relationship went quiet, and most never took a second loan. With acquisition costs fixed and lifetime value thin, the payback period stretched to almost a year — the unit economics simply didn't close.
| Metric | Before | After | Delta |
|---|---|---|---|
| CAC payback period | 11.0 mo | 8.0 mo | −27% |
| Repeat-borrow rate (90d) | 22% | 29.5% | +34% |
| Revenue per user, 90d (indexed) | 100 | 119 | +19% |
| Post-repayment reactivation | 14% | 23% | +9pp |
Illustrative engagement. Client anonymized. Figures are measured 90-day cohort deltas.
A repaid loan isn't the end of the funnel. Treated as the start of the next one, it's where the economics finally close.
We'll show you where lifetime value is leaking and how to pull payback forward, before you commit to anything.
Practical teardowns on activation, lifecycle, and retention for fintech teams. What actually moves cohort numbers, written by the team that rebuilds these funnels.
Most of the drop off between install and funded account is not a UX bug you can polish away. It is a missing behavioral trigger, a moment where the app went quiet exactly when the user needed a reason to keep going.
Teams tend to treat onboarding as a screen problem. Fewer fields, cleaner copy, a nicer progress bar. Those help at the margin, but they rarely fix the real leak. The users who abandon are not confused, they are unconvinced. Nothing in the flow gave them a concrete reason to take the next irreversible step.
The single highest leverage moment is the first time a user shows real intent, a balance check, a linked account, a quote request. That signal is worth more than any calendar based nudge. Fire your strongest activation prompt off that behavior, not off a fixed day two email. A user who linked a bank account at 11pm should not wait until tomorrow's batch send.
Verification and funding are where intent goes to die. Instead of treating a stalled KYC as a lost user, treat it as a paused one. A recovery track that reaches people the moment they stall, with a one tap path back to exactly where they left off, routinely recovers a double digit share of would be churners.
Funding is not activation. A funded but idle account is still a leak. Tie a first meaningful action, a first trade, a first transfer, a first goal set, to the funding event so the account does not sit still. The faster a user reaches first value, the flatter their retention curve stays.
The pattern across all three: stop sending on the calendar, start sending on behavior. The funnel stops leaking when the app responds to what the user just did.
A day three email, a day seven email, a day fourteen email. Fixed drip schedules are easy to build and easy to reason about, which is exactly why they underperform. They send the same thing to a dormant user and a power user on the same day.
Calendar based lifecycle assumes every user moves through the funnel at the same pace. They do not. The fix is to make the message a function of behavior and state, not elapsed time. Here is the playbook we run.
Define the handful of states that actually matter, installed, activated, funded, habitual, at risk, dormant. Every user sits in exactly one at any moment. Messaging keys off the transition between states, not off a countdown that started at signup.
When a user crosses into a new state, the relevant message should fire close to the event, while intent is still warm. Throttle for fatigue with frequency caps and quiet hours, but let the behavior, not the clock, decide what gets sent and why.
The most valuable send is often the one that catches a user the moment activity falls off, not a week later when they have already moved on. A behavioral dormancy track re engages at the first sign of drift, and it consistently outperforms any fixed win back campaign.
Opens and clicks flatter the calendar approach. Tie every send back to a state transition and a cohort outcome, second transaction rate, D30 retention, funded conversion. That is the only scoreboard that reflects revenue.
The win is rarely more sends. It is sending the right thing the moment the user's behavior earns it.
Retention is not a single number you report at the end of the quarter. It is a slope. The question that matters is not what is our D30, it is whether this month's cohort is retaining better than last month's, and why.
A flat retention number tells you where you are. A cohort curve tells you where you are going. Teams that compound treat every cohort as a chance to beat the previous one, and they instrument the funnel so they can actually see whether they did.
Blended retention hides the truth. A great new cohort can be masked by a decaying old one, and vice versa. Always look at retention by cohort over time. That is where you see whether the changes you shipped are actually landing.
A retention loop is any mechanic that makes the next session more likely, a streak, a scheduled deposit, a balance that grows, a notification tied to something the user cares about. Loops compound because each one you add raises the floor for every future cohort, not just the current one.
Not every loop earns its place. Instrument each one against the cohort curve and cut the ones that do not move it. The goal is a small set of loops that each cohort inherits, so activation gets faster and churn gets slower with every batch of new users.
Compounding retention is not one big win. It is a stack of small loops, each one lifting the cohort that comes after it.
Everyone budgets for the ad spend that brings a user to the door. Almost no one budgets for the users that verification quietly loses on the way in, which is where a large share of that spend actually evaporates.
KYC is the one step in a fintech funnel where the product has to ask for effort before it has delivered any value. That trade is hard, and it is where good acquisition goes to die. The fix is not skipping verification, it is sequencing it.
Every field you demand before first value is a chance to lose the user. Move anything not legally required to open the account to after the first meaningful action. Let people in, let them see the point, then collect the rest.
Treat verification as its own funnel. Measure completion field by field, screen by screen, so you know precisely where people stall. The document-upload step is almost always the worst offender, and almost always the least measured.
A user who abandons halfway through KYC is not gone, they are paused. A recovery track that reaches them within the hour, with a one tap path back to exactly where they left off, routinely recovers a double digit share of would-be losses at a fraction of the cost of a fresh install.
The cheapest funded account you will ever get is the one you almost lost at verification and won back.
A muted app is a churned app that hasn't uninstalled yet. Push is the one channel you can lose permanently with a single bad week of sends, and most fintech apps are actively spending that goodwill down.
Every push you send is a withdrawal from a trust account. Send something useful and you top it up. Send noise and the user pays you back by turning notifications off, and once they are off they almost never come back on.
The pushes people keep are the ones about their balance, their deposit, their goal, their bill. The pushes people mute are the ones about you, your feature launch, your promo. Lead with their world, not yours.
Fire off real events, a transaction, a threshold crossed, a goal reached, not a marketing calendar. Then cap frequency hard and respect quiet hours. A relevant push at the right moment beats five scheduled ones every time.
Open rate flatters aggressive sending. The metric that matters is the notification opt-out rate, because every opt-out is a channel you have lost for the life of that user. Watch it like you watch churn.
The goal of a push is not this session. It is keeping the right to send the next one.
Most fintech dashboards track dozens of numbers and steer by none of them. The teams that grow pick one activation moment that predicts retention, and they organise the whole funnel around getting users to it.
An activation metric is not the same as a signup or a login. It is the earliest action that reliably separates users who stay from users who leave. Find it, and you have a north star that every experiment can point at.
Look at your retained users and your churned users, and work backwards to the earliest action where their paths clearly diverge. For a neobank it might be the second transaction, for a trading app the first funded trade. That fork is your activation moment.
A good activation metric is specific and binary, the user did it or they did not, within a defined window. Vague goals like engaged or active cannot be optimised. First deposit completed within seven days can.
Once you have the metric, every onboarding screen, nudge, and lifecycle message should be judged by one question, does it move more users to the activation moment, faster. The numbers that do not serve it are noise you can stop reporting.
You cannot optimise a dashboard. You can optimise a single moment, and let it pull the rest.
Send us where users drop off. We reply with a funnel teardown and a proposal within 2 business days.
Expect a funnel teardown and proposal within 2 business days. Check your inbox.
A short paid audit maps your funnel and puts a number on each leak. You keep the teardown whether or not we go further.
A clear SOW under your NDA: deliverables, metrics, cadence, and price. A deposit mobilises the team.
We rewrite onboarding and lifecycle around behaviour, biggest leak first, reporting on the cadence you set.
Measured against your baseline. Miss it in 30 days and we cut your remaining balance in half.
We work with least-privilege access to only what the engagement needs, behind your NDA, and can operate inside your own tooling and environments. Nothing leaves your systems without written sign-off.
Yes. We're happy to work under your NDA and master services agreement, or provide our standard Statement of Work. Our baseline terms are published on the Terms page.
Each engagement is scoped in a written SOW — a monthly retainer, a fixed project fee, or a deposit-plus-balance. A non-refundable deposit (currently 40%) mobilises the team; the balance follows on the terms set in the SOW.
On full payment, you own the final deliverables created specifically for you. We retain our pre-existing frameworks and tools, and may use anonymised, aggregated learnings to improve our methods.
We rebuild onboarding and lifecycle within your regulatory constraints (KYC/AML, DPDP, GDPR), never around them, and defer to your compliance team on anything that touches regulated flows.
If our rewritten sequences don't outperform your documented baseline within 30 days of go-live, we cut your remaining balance in half. The deposit is non-refundable. Full detail is on the Terms page.
Rebuilding a fintech funnel means touching sensitive systems. We treat that access the way your own security team would — minimally, transparently, and on paper.
We ask only for the access an engagement genuinely needs — a specific analytics view, a staging environment, a scoped role — never blanket admin. Where you'd rather we work inside your own tooling and accounts, we do.
Data stays in your environment. Nothing is exported, copied, or moved to our side without your explicit written sign-off, and we don't intentionally handle raw personal or financial data when an aggregate will do.
We're glad to sign your NDA and master services agreement before any access is granted. Our baseline terms are on the Terms page if you'd like to see how we operate by default.
When the engagement ends, access is revoked and any working material we held is deleted or returned, on request and by default.
You don't get handed to a junior after the pitch. One accountable owner runs your engagement end to end, and their scoreboard is your funnel revenue.
The person who diagnoses your funnel is the person who rebuilds it and reports on it. No handoffs to a rotating cast, no re-explaining your business every month.
Weekly, fortnightly, or against milestones — you set the rhythm and the format, and you always know what's shipped, what moved, and what's next.
Success is a cohort outcome — activation, retention, funded conversion — tied back to your revenue, not a report full of sends and opens.
Fintech onboarding lives inside real regulation. We rebuild funnels that respect KYC/AML and data-protection rules by design, not as an afterthought.
We streamline the experience around verification — sequencing, copy, recovery — without removing or weakening a control. The goal is fewer drop-offs at KYC, never a lighter KYC.
Lifecycle messaging and data handling are built to your DPDP and GDPR obligations — consent, purpose, and retention respected in how we trigger and target.
Anything that touches a regulated flow goes to your compliance and legal teams for sign-off before it ships. We propose; they approve.
We put our own fee on the line. If the work doesn't beat your baseline, you don't pay full price for it — plainly, and in writing.
Before we start, we document your current baseline for the agreed primary metric in the SOW. We then measure our rewritten sequences against it over the 30 days after go-live. If they don't outperform that baseline, your remaining balance is cut by half.
A non-refundable deposit mobilises the team and is retained in all cases. The guarantee applies to the balance — so a miss means you pay the deposit plus half of what's left, not the full fee. Our upside only shows up when yours does.
The guarantee assumes we can actually do the work: timely access, our recommendations implemented, and enough volume to measure a result. The exact terms and conditions are on the Terms page.
One accountable senior owner, a fixed scope, and a result measured against your revenue. No rotating pods, no vanity reports. Here's exactly how an engagement runs.
We instrument your funnel end to end and read it by cohort, not averages. In the first weeks you get a map of exactly where users drop, what each leak costs, and which fix returns the most — before a line of copy is rewritten.
We rebuild onboarding, activation, and lifecycle around what each user actually does — triggered by behaviour and state, not the calendar. Everything ships as an experiment with a measured result, so the cohort data decides what stays.
We report against your documented baseline on the cadence you set, and stack the loops that work so each cohort activates faster and churns slower than the last. Growth gets cheaper and steadier instead of resetting every quarter.
If our rewritten sequences don't outperform your documented baseline within 30 days of go-live, we cut your remaining balance in half. See the case studies for what that's looked like, or start with a funnel audit.
We work inside fintechs, so we work the way your security and procurement teams expect. Here's how we handle access, data, and the paperwork.
We're glad to sign your NDA and master services agreement before any access is granted, or provide our standard SOW. Nothing about your product or data leaves the engagement without written sign-off.
We ask only for the specific access an engagement needs, scoped to the tools and data in play, and time-boxed to the work. Access is revoked when the engagement ends.
We work inside your tools wherever possible. We don't export or retain customer data beyond what a task requires, and we don't build shadow copies of your user base.
A single senior owner runs the engagement and is your point of contact for any security or data question — not a rotating pod with unclear responsibility.
We build within the constraints your compliance team sets — KYC, consent, and messaging rules included — rather than around them. Read the Terms for our operating defaults.
Need us in your vendor-review process, or a data-processing agreement and security questionnaire completed? We're happy to — just reach out and we'll turn it around.
NDA, DPA, security questionnaire, or a vendor-onboarding form — send it over and we'll complete it.
This page describes how we operate by default. Specific certifications, subprocessor lists, and formal agreements are provided on request as part of your procurement process.
The checklists and definitions we use on real engagements. Free, no email wall. Want the deep-dive playbooks? Ask and we'll send them.
The funnel and retention terms we use, in plain language.
The share of new users who reach a defined first-value moment — a first transfer, trade, deposit, or goal. The single most predictive early metric of whether a user sticks.
The share of a cohort still active 1, 7, or 30 days after signup. Reading retention by cohort (not a blended average) is the only way to see whether your product is actually improving over time.
A group of users bucketed by when they joined (e.g. "March signups"). Following cohorts over time reveals whether each new group activates faster and churns slower than the last.
The rate at which active users stop being active over a period. In fintech it often hides as "funded once, never returned" rather than an explicit cancellation.
The fully-loaded cost to acquire one customer. When activation leaks, your effective CAC per funded user quietly climbs even if ad costs hold flat.
How long it takes the revenue from a customer to repay what you spent to acquire them. Thin repeat behaviour stretches payback; better retention pulls it forward.
The total value a customer generates over their relationship with you. Retention is the biggest lever on LTV — small monthly retention gains compound into large LTV gains.
Average revenue per user over a period. Multiply it by your active-user curve to size what a retention improvement is actually worth — which is exactly what the compounding simulator does.
The sequence of emails, push, and in-app prompts that move a user from signup to habit. Done well it fires on behaviour and state; done badly it fires on a fixed calendar.
Dormancy is the moment a user's activity drops below their own baseline. A reactivation track that catches it in real time beats any scheduled win-back.
The single countable event that best predicts long-term retention. Naming it — and pointing the whole funnel at it — is often the highest-leverage decision a team makes.
See what a retention improvement is worth on your numbers, or get a tailored read on where your funnel leaks.
A better activation and retention rate doesn't add up — it compounds. Every cohort starts higher and decays slower than the last. Move the sliders to your numbers and watch the gap widen.
A simplified cohort model for illustration: each cohort activates at your rate, then retains at your monthly rate. Real funnels vary — this shows the shape of compounding, not a quote.
Neobanks and wallets rarely have an install problem — they have a retention cliff. We rebuild the first week around first-transaction intent so a funded account becomes a weekly habit.
The first deposit is treated as the finish line, so most users never make a second transaction.
A dormant user and a power user get the same email on the same day, so retention decays cohort over cohort.
A funded user opens the app and sees no obvious next action tied to their stage.
Good first-loan conversion isn't the problem — thin repeat behaviour is. We resequence the entire post-repayment lifecycle around the next borrow, so acquisition finally pays back.
Once a borrower repays, the conversation goes quiet and most never take a second loan.
The users most likely to borrow again get no recognition of their track record.
Thin repeat behaviour means every cohort takes far too long to become profitable.
Heavy install spend means nothing if users bleed out before their first trade. We collapse the path to first value and recover the people who stall mid-verification.
Long KYC across many screens blocks the first trade with data that could have waited.
A user who quits halfway through verification is simply gone — nothing reaches them.
As the activation gap widens, real CAC climbs even while install costs hold flat.
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Field notes on fintech activation, lifecycle, and retention — the same thinking behind our teardowns. Occasional, no fluff, unsubscribe anytime.