Founding pricingFounding rates locked in for apps that start before August 31, 2026.
FOR CRYPTO & WEB3 APPS

You spend the bull market buying users who'll be gone by the time it turns.

Installs surge when the market runs and vanish when it doesn't — and the cohorts those surges bring behave nothing alike. Add KYC standing between install and first value, a compliance team that has to sign off on every word of marketing, and premium tiers pitched to users who haven't added a single asset yet. AppDNA is the App Growth OS built for that reality: its agents read your funnel by cohort and cycle, draft the fixes — KYC-flow experiments, trust-first messaging tests, engagement-timed pro-tier offers — and nothing ships without your approval, with every change on an audit trail your compliance team can actually read.

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

AppDNA is the App Growth OS for subscription apps — an AI system that analyzes the full funnel, proposes improvements, and ships approved changes to production devices without an App Store release. For crypto and web3 apps, it is the system that separates bull-market cohorts from bear-market cohorts instead of averaging them, treats KYC as the activation funnel it really is, times premium-tier offers to engagement depth, and wraps every user-facing change in approval gates and an audit trail — the governance a regulated category actually requires.

02

The numbers behind the build-it-ourselves instinct

Benchmark
In-house AI projects succeed 22% of the time; buying or partnering succeeds 67%
The gap isn't talent — crypto teams have plenty — it's that growth infrastructure is a second full product competing with the one that actually differentiates you.
Benchmark
Time-to-value: 12–24 months in-house, versus 1–3 months for SaaS and 3–6 for a partnership
In a market where the window between cycles decides which cohorts you capture, 12–24 months is a full regime change.
Benchmark
Maintaining self-built systems costs 17–30% of the build cost annually
A permanent tax on the engineers you hired to build custody, execution, and security.
Benchmark
65%+ of iOS users are untrackable by classic attribution post-ATT
When install surges ride the market cycle, knowing which cohorts convert to verified, funded, paying users matters far more than which ad got credit.
03

Where crypto apps leak revenue

Four leaks we see in almost every crypto funnel

01
Bull-market cohorts and bear-market cohorts get the same funnel.

Installs that arrive on a green-candle week are curious, impatient, and gone by the first drawdown. Installs that arrive in a quiet market are fewer, more deliberate, and worth multiples more. Blended metrics average the two into fiction — and the funnel tuned during the last surge quietly misfires for the users you have now.

On AppDNA: cohorts are read against market regime, not just install date — onboarding, messaging cadence, and offers drafted per cohort profile, so the deliberate bear-market user isn't handled with the hype pacing built for the surge. You approve; it ships per segment.
02
KYC is your real onboarding — and nobody instruments it like one.

The distance between install and first verified action is where crypto apps lose the most users, and it's usually a black box: a compliance-mandated sequence nobody dares touch. But order is a growth surface even when requirements aren't — showing the product before demanding documents, explaining why each step exists, saving progress across sessions.

On AppDNA: the onboarding agent instruments every verification step, finds the cliff, and drafts compliant re-orderings and copy fixes — the requirements stay, the abandonment doesn't have to. Every variant is approval-gated, so compliance signs off before anything ships.
03
The messaging leads with excitement in a category that converts on trust.

Users don't hand assets to an app because the copy was thrilling — that's also the copy that makes compliance nervous. What moves conversion in crypto is proof of seriousness: custody model, security posture, audits, who's behind it. Most funnels bury that below the fold and lead with the energy.

On AppDNA: the positioning and paywall agents draft trust-first variants — security proof up front, plain-language custody explanations — and test them against the incumbents. No draft promises returns or performance; every word that ships passed through your approval.
04
The pro tier is offered at install — to a user with an empty watchlist.

Advanced charting, alerts, pro data: real value, wrong moment. A user who hasn't added a third asset has nothing to chart and no reason to upgrade; by the time they do, the offer is a dismissed banner they've learned to ignore.

On AppDNA: the monetization agent maps upgrade offers to engagement depth — assets added, alerts set, sessions charted — and drafts placements at the moments your own data says the tier becomes useful. Approved, shipped at 10% traffic, stop-loss armed.
04

The modules that matter most for crypto

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

Onboarding
KYC as a funnel, not a black box.

Step-level instrumentation of the verification path, drop-off diagnosis, and compliant flow experiments — sequencing and copy, never the requirements themselves. In practice: the document-upload cliff gets a measured fix instead of a shrug.

Positioning & messaging
trust proof, tested.

Custody, security, and credibility messaging drafted and tested as first-class conversion levers — with the guardrail this category demands: nothing performance-adjacent, everything approval-gated, every shipped word on the audit trail.

Monetization
the pro tier at the moment of depth.

Premium offers timed to engagement signals — watchlist depth, alert usage — instead of install-day banners. Price and packaging tests run guarded, at 10% traffic, reversible.

Paid UA
cycle-aware acquisition.

Spend connected to what cohorts do after install — verification, funding, subscription — not install price alone, in a post-ATT world where 65%+ of iOS users are invisible to classic attribution. Surge weeks stop buying tourists at premium prices.

05
Illustrative scenario

The verification cliff that was actually a sequencing problem

A crypto tracking-and-trading app watches installs triple on a market surge — and verified activations barely move. The workspace lines up what three separate tools couldn't: the drop-off is concentrated at document upload, it's worst among paid-social installs, and the surge cohort abandons at nearly twice the rate of organic users. The requirements can't change. The sequence can.

The proposed experiment: let new users build a watchlist and see the product working before the document request, with a progress-saving verification flow and plain-language copy explaining each step — drafted by the onboarding agent, reviewed by the compliance owner, approved, shipped at 10% traffic with a stop-loss on verification completion. In the scenario, more of the surge cohort reaches verified status because the app earned the document request before making it. Same rules, different order.

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

06

Why not build it in-house?

Your engineers could build this — that's not in question; crypto teams ship harder things before breakfast. The honest comparison is about what the build costs while your actual product competes for the same people:

Building growth infrastructure in-houseAppDNA
Time to value12–24 months typical — roughly one full market cycle before the first experiment shipsSDK installed in under an hour; first experiment live within 14 days
OddsIn-house AI projects succeed 22% of the time vs 67% for buy/partner — and growth tooling is nobody's first love inside a crypto roadmapA system already running in production, with a decade of growth practice encoded — your team approves experiments instead of maintaining pipelines
The permanent taxMaintenance runs 17–30% of build cost annually, paid in the engineers you hired for custody and executionWorks out to cents per paying user; your engineers stay on the product that differentiates you
GovernanceApproval workflows, audit logs, and rollback are a second build on top of the firstApproval gates, staged rollouts, stop-losses, and a full audit trail are the architecture, not an add-on — which is exactly what a regulated category needs on day one

Build the exchange. Buy the growth layer. Your moat was never going to be an internal experimentation pipeline.

07

See your crypto 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, cohort quality, tier timing — benchmarked against apps like yours, plus a 90-day plan. Then one click configures your workspace from it.

Free · ~2 minutes · No credit card · Yours to keep
08

Frequently asked questions

Seven questions crypto and web3 teams ask us — usually with someone from compliance on the call, which is exactly how it should be.

What if the system ships copy that gets us a regulator's letter?+
It can't ship anything without you — every draft the agents produce is approval-gated, so your compliance owner reviews before anything reaches a user, and no draft makes performance or return claims to begin with. Every change that does ship is on a full audit trail: what went live, when, who approved it. For a regulated category, that record is the point.
We already run Amplitude, a paywall tool, and an MMP. Replace them?+
No — AppDNA reads your existing stack from day one, zero migration. What it adds is the chain none of them see alone: this surge campaign → this KYC drop-off → this funded-account rate → this subscription revenue. Over time you decide which subscriptions you still need.
Our engineers are heads-down on custody and execution. How much do we pull them off?+
About an hour, once, for the SDK. After that, onboarding sequences, messaging tests, and tier offers ship from the console with zero App Store releases — growth stops competing with the security roadmap for engineering time.
Our security bar is higher than most — where does our data actually sit?+
Your workspace is isolated in code, not policy; your data never trains a shared model, and nothing identifiable ever flows out. You benefit from anonymized category patterns without your numbers being visible to anyone. For teams that need more, dedicated isolated deployments are available as scoped engagements.
We're a portfolio tracker, not an exchange — is this still for us?+
Yes — the fit test is a subscription funnel with a KPI owner, and tracker-with-premium-tier is squarely it. Benchmarks are matched to your category and revenue band. If you're pre-monetization, start with the free audit and the content; the platform earns its keep once real users flow through a real funnel.
Half our funnel disappears when the market cools. Can any system plan around that?+
No system controls the cycle — what it can do is stop the cycle from corrupting your decisions. Cohorts are read against market regime, so you're not tuning the funnel to surge tourists and wondering why quiet-market users bounce. The playbook for each regime is drafted before it arrives, and Growth Memory keeps what worked last time the market turned.
What if it doesn't work — and what do we keep if we leave?+
Start with the free audit: it names your biggest leak before you spend anything. Then judge shipped experiments, not promises — the first is live within 14 days of SDK install. Month-to-month on self-serve; your strategies, experiment history, and the full audit trail are yours and exportable.

Missing your question? Ask us directly — a human replies within one business day.

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

Free · ~2 minutes · No credit card
AppDNA

Everything your app needs to grow. In one system.

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