Founding pricingFounding rates locked in for apps that start before August 31, 2026.
FOR FINTECH & FINANCE APPS

KYC is the law. Losing half your signups to it isn't.

Finance apps run the only funnel with a regulator inside it: identity checks before value, disclosures on every monetization surface, and a compliance review attached to every change. Most teams respond by not changing anything — and the onboarding drop-off, the mistimed premium prompt, and the untouched Q1 cohort quietly pay for the caution. AppDNA is the App Growth OS built for regulated funnels: it reads your activation and upgrade events, proposes the fix, and ships it only after your named approver says yes — staged at 10% of traffic, stop-loss armed, every change audit-logged. Experiments with stop-losses and audit trails aren't a gamble. They're controlled change — the kind compliance already has a word for.

Free · ~2 minutes · No credit card
01
In one paragraph

AppDNA is an App Growth OS for subscription and premium-tier finance apps — an AI system that analyzes the full funnel (store listing to KYC completion to premium upgrade), proposes improvements grounded in finance-category benchmarks and the app's own event history, and, once a named human approves, ships the changes to production devices without an App Store release — every experiment staged, stop-lossed, and audit-logged.

02

The numbers every fintech growth lead is up against

Industry research
65%+ of iOS users are untrackable post-ATT
In a category where acquisition already carries compliance cost per user, paying blind is doubly expensive. The cheapest CAC lever left is the funnel after the install.
Industry research
A typical experiment cycle is 3–6 weeks with 4–6 people
And in finance, every cycle adds a compliance review on top. That's how funnels freeze: not because nobody knows what to test, but because testing costs more than not testing appears to.
Industry research
Tech debt eats 20–40% of IT budgets
The reason the unified customer profile project never finished, and why "we'll build the growth layer ourselves" keeps losing to the core-banking roadmap.
Industry research
The top 10% of apps capture roughly 98% of app-store revenue
In finance the moat is trust — but trust converts through a funnel like everything else, and the leaders are the ones testing theirs.
03

Where fintech apps leak revenue

Four leaks we see in almost every finance funnel

01
KYC is treated as a compliance step — not a conversion funnel.

The checks are non-negotiable; the sequence isn't. Apps that demand documents before showing any value are asking for trust before offering a reason — and the drop-off between "download" and "verified" is usually the biggest leak in the whole funnel, unmeasured because it belongs to compliance, not growth.

On AppDNA: the system maps completion per verification step, proposes re-sequenced flows — value first, documents at the moment of commitment, progress made visible — and ships them natively. Your approver signs off before anything reaches a user; every variant is staged and logged.
02
Experimentation is frozen by the regulator in the room.

Every test feels like risk, so nothing gets tested — and the funnel calcifies around whatever shipped at launch. But the mechanics regulators require are the mechanics good experiments already have: bounded exposure, a defined abort condition, a record of who changed what.

On AppDNA: that's the native shape of every change — approval-gated by a named person, launched at 10% of traffic, stop-loss on the metrics you guard, withdrawn automatically if they degrade, fully audit-logged. Controlled change, documented by default — the system speaks compliance's language because it was built in it.
03
The premium prompt fires on a timer, not a signal.

Blanket upgrade prompts train users to dismiss them. The buying signal in finance is behavioral — the user who adds a second account, sets a savings goal, or deposits a salary is telling you they've moved in. Most apps can see those events and still prompt everyone on day 7, because acting on a signal means a release.

On AppDNA: the system finds your upgrade-predictive behaviors in your own event stream and proposes moving the prompt to that moment — shipped natively, tested at 10%, measured against the blanket baseline it replaces.
04
Q1 arrives and the funnel doesn't notice.

Tax season brings finance apps their highest-intent cohort of the year — users with a job to be done and a deadline. Most apps give them the same onboarding, the same prompts, and the same lifecycle as a random Tuesday signup, and the window closes before the experiment backlog does.

On AppDNA: seasonal cohorts get their own journeys — onboarding emphasis, upgrade timing, lifecycle cadence — configured from the finance playbooks encoded in the system, shipped without a release, measured per cohort, prepared before the season instead of after it.
04

The modules that matter most for finance

Nine modules in the system. These four do the heavy lifting for finance apps.

Onboarding
KYC completion is the metric.

The system finds where your verification flow loses people — the document wall before the value screen, the permissions stack mid-flow — and ships re-sequenced variants as native flows, each approval-gated and staged. In practice: an onboarding variant that shows the account's value before asking for the passport goes live without a release — and with the change record compliance asks for already written.

Monetization
upgrade timing on behavioral signals.

Thirty paywall templates, price and packaging tests, and the finance-specific part: premium prompts tied to the behaviors that predict upgrades — the second account, the savings goal, the salary deposit — instead of a calendar. Every offer variant is a guarded, reversible, logged experiment.

ASO & Feedback
the listing sells what the reviews doubt.

In finance, the store listing's job is answering the trust objection before it forms — and your reviews say exactly which objection that is. The system mines them, proposes security-forward listing and screenshot messaging, and tests it; there's more diagnosis in 500 reviews than most teams ever extract.

Retention
the lifecycle knows what season it is.

Q1 cohorts, salary-cycle rhythms, dormancy signals — journeys triggered by what users do and when they arrived, not blanket intervals. Push, in-app, and email in one orchestrated system, every send approval-gated and audit-logged.

05

The proof: we've grown a bank before

SERVICES ERA · ~1-YEAR ENGAGEMENT · DELIVERED BY HAND

A digital bank with a capable, secure app — and no real onboarding, no retention strategy, no ASO. Downloads weren't becoming registered users, and acquiring users for a mobile financial product was expensive.

Started with a full app growth audit. Redesigned the first-time user experience from its findings, built a notification and communication strategy, mapped the customer journey, and rebuilt ASO and paid acquisition around the repaired funnel — creative testing and A/B testing throughout.

Delivered as services by the AppDNA team — the practice that became the platform. The platform didn't produce these results; it was built from what did — the audit-first, onboarding-led play above is now the Free Growth Audit and the Onboarding module.

We ran this loop by hand for a decade. AppDNA is the loop, automated.

06
Illustrative scenario

The second-account signal, found and acted on

A fintech app — free tier plus a $9.99 premium — has an upgrade rate stuck at 4% after six manual paywall redesigns. The system's segmentation finds the signal the redesigns kept missing: users who add a second account within their first week are 5× more likely to upgrade. The proposed experiment moves the premium prompt to exactly that moment — right after the add-account screen — instead of the day-7 blanket.

The lifecycle layer adds the seasonal read: Q1 (tax-season) upgraders retain about 60% better in the scenario, so the system leans into upgrade prompts in Q1 and shifts to nurture in Q3. Approved from the Insight Inbox, live at 10% of traffic, stop-loss on upgrade rate and support-contact volume. In the scenario, the upgrade rate reaches 7% — at 2M free users, roughly 60,000 additional premium subscribers — not because the paywall got a seventh redesign, but because the ask finally matched the signal.

This is an illustrative scenario showing how the system works — not a measured customer result.

07

Why not build it in-house?

Fintechs default to building — reasonably. You have real engineering depth, real security requirements, and a culture that distrusts vendors touching the money path. Here's what the build actually costs, honestly:

Build it in-houseAppDNA
Time to value12–24 months, typically (industry research) — config service, native renderers, targeting, stats engine, admin UI, and a compliance model, before the first test shipsSDK installed in under an hour; first experiment live within 14 days
OddsIndustry research: in-house AI builds succeed 22% of the time; buy/partner, 67%The 67% path — plus what no internal build starts with: finance-category benchmarks and 80+ encoded playbooks
Carrying costMaintenance runs 17–30% of build cost annually (Gartner, as cited) — on top of the 20–40% of IT budgets tech debt already eatsOurs to maintain. Your engineers stay on the core product
The compliance surfaceApproval workflows, exposure limits, and change records re-argued internally with every releaseApproval gates, staged rollouts, stop-losses, and the audit trail built in — documented once, reviewable by your compliance team in the docs

Build what makes your product safer and different. The experiment infrastructure is the same for every app — that's why it should be bought.

08

See your finance app's Growth Score

Paste your App Store or Google Play link. In about 2 minutes: your Growth Score (0–100), scores across all nine modules, your biggest funnel leak — verification drop-off, upgrade timing, listing trust messaging — benchmarked against apps like yours, plus a 90-day plan. The audit needs no SDK, no data connection, and no access to customer data — your public listing and a short set of questions. Nothing for a security review to review.

Free · ~2 minutes · No credit card · Yours to keep
09

Frequently asked questions

Eight questions finance app teams ask us — usually with someone from compliance on the call, which is exactly where we'd want them.

What if the system ships a change to a regulated surface — pricing display, disclosures, a paywall?+
It can't ship without you: every change is approval-gated by a named person on your team, launches at 10% of traffic, and carries a stop-loss on the metrics you guard. Anything that degrades is withdrawn automatically; rollback is instant; every state change is audit-logged with who approved it and when. It's your change-management policy, enforced in software — tighter than build → submit → hope.
We run our own data platform plus RevenueCat and Amplitude. What has to move?+
Nothing — AppDNA reads your existing stack from day one, zero migration. What it adds is the layer none of those tools ships: the cross-funnel view (did the re-sequenced KYC flow move upgrades?) and the execution. Consolidation, if it ever happens, happens on your renewal calendar — your call, your pace.
Our mobile team is consumed by the core-banking roadmap. What does this cost them?+
About an hour, once, for the SDK. After that, onboarding variants, upgrade prompts, and lifecycle journeys ship from the console with zero App Store releases — growth stops competing with the core roadmap for the same engineers. Your security team can review the SDK and the safety model in the docs first; they're public.
Our data is financial data. Where does it live, and who trains on it?+
Your workspace is isolated — enforced in code, not policy. Your data never trains a shared model and is never visible to another customer; you benefit from anonymized category patterns, and nothing identifiable ever flows out. For stricter requirements, dedicated single-tenant deployment with your keys and your SSO is available as a scoped engagement.
We're a regulated bank, not a fitness app. Is a growth system even built for us?+
This one was — the team's longest services-era engagement was a bank (Aion Bank, on this page), and the platform's safety model is compliance-shaped by design: approval gates, bounded exposure, automatic abort, full change record. Honest exclusions still apply: if you have no subscription or premium tier and no live monetization funnel, start with the free audit and the content instead.
If it doesn't perform — or procurement says unwind it — what do we keep?+
Everything you built: strategies, documents, benchmarks, and the full experiment history with its audit trail — exportable. The SDK deactivates by configuration; your app keeps running in its last approved state, no emergency release. And you'll have seen the plan before paying anything: the audit is free, and the first experiment is live within 14 days of install, so you judge shipped results, not promises.
Can compliance review every change before it ships — and prove the review happened later?+
Yes — that's the default, not a configuration. Every change sits in the Insight Inbox until a named approver acts; approvals, rollout stages, stop-loss events, and rollbacks are all logged with timestamps and actors. When the auditor asks "what changed on the paywall in March and who authorized it," the answer is a query, not an archaeology project.
Does the SDK touch account or transaction data?+
It doesn't need to. The SDK renders growth surfaces — onboarding flows, paywalls, messages, surveys — from server-side configuration, and works on the funnel events you choose to instrument or connect from your existing analytics. What flows where is documented in the data schema in the docs, written for your security review; scoping the event set is your decision, made once, in the open.

Missing your question? Ask us directly — a human replies within one business day. Compliance teams welcome; send the questionnaire.

See your app's biggest leak — free, in 2 minutes.

Free · ~2 minutes · No credit card
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