FOR CFOs & FINANCE LEADS

Less tool sprawl on the P&L. More revenue you can attribute.

You approve the growth budget, and nobody can tell you what any given line of it returned. Eight to fifteen tools, an agency retainer, an AI pilot or two — invoices precise to the cent, outcomes described in adjectives. AppDNA is built on the opposite contract: one line item, one pricing driver, and a system where every shipped change carries its own measured lift. The agents watch your funnel, diagnose, and draft the improvements; a named person on your team approves each one; the result lands in an audit trail your next budget review can query.

AppDNA is the App Growth OS for subscription apps; for finance leaders it is the consolidation of the growth stack into one line item priced on paying subscribers — no per-seat and no per-event meters — at $149 a month plus $1.49 for each paying subscriber above the first 100, and that attributes its own impact: every change ships as a controlled experiment with a concurrent control group, a guarded KPI, and a full audit trail.

Free · ~2 minutes · No credit card
01

Five things wrong with the growth budget — and what replaces each one.

18–15 growth tools, each justified only as a bundle
Today

analytics, paywall, messaging, MMP, A/B, attribution, survey, ASO — each seeing one slice of the funnel. Ask which one moved revenue last quarter and you get a meeting, not a number.

On AppDNA

one system across the whole funnel, one line item — and per-experiment measured lift, so the question "what did this return?" has a queryable answer. Consolidation happens on your renewal calendar: zero migration to start, so nothing gets written off on day one.

2The agency invoice versus the outcomes memo
Today

$10–50K/mo (typical), real expertise, real deliverables — and outcomes you can't separate from seasonality, because the recommendations land in someone else's release queue and the learning leaves with the account manager.

On AppDNA

execution ships in days inside your app, every change against a concurrent control, and the learning compounds in Growth Memory — in your workspace, exportable, not in a departing account manager's head.

3Pricing that taxes the growth it's supposed to serve
Today

per-event pricing punishes instrumentation — the more carefully your team measures, the bigger the bill. Per-seat pricing punishes adoption. Both make the cost line grow faster than the results line.

On AppDNA

one driver — paying subscribers. The meter counts people who are already paying you, never free users and never events, so better measurement costs nothing and more adoption of the system is the point, not a surcharge. And it moves with the subscriber base in both directions, which a retainer and a payroll do not.

4The AI line with no ROI attached
Today

industry research puts 95% of AI investments at no measurable ROI — mostly fragments bought without a system, each asking your team to become its operator.

On AppDNA

AI spend sits inside the measurement, not outside it — every agent-drafted, human-approved change ships as an experiment with its own control group. And the cost side is capped by construction: AI allowances are included, top-ups are fixed-price, and in auto-mode hard cost caps are mandatory. No metered mystery line.

5Attribution fog at every review
Today

each ad platform claims the same conversions, the MMP measures clicks, marketing brings a narrative, and the deck says "directionally, it worked."

On AppDNA

experiments are controlled, not observational — part of the traffic always holds the old experience as the comparison, so lift is measured against a concurrent control, not a before/after chart. Procurement signs numbers, not narratives.

02

What it costs, in the only units that matter

the whole invoice is $149 a month plus $1.49 for each paying subscriber above your first 100 — published, not a special quote, and computable to the dollar from a forecast you already produce. The rate is flat rather than graduated, so it does not taper as you scale; what changes is what you are comparing it against, which is the next paragraph.

acquiring a paying subscriber typically costs $30–150 (industry ranges). Industry research (Harvard Business Review) puts acquiring a new customer at roughly 5–25× the cost of retaining one — and retention and monetization are precisely what this system ships. Retention is acquisition at a 90% discount; that's the math we run on.

the comparison that matters is not another tool, it is the team you would otherwise hire. A full in-house growth function is six to ten people at $900K to $1.5M a year, fixed from the day the offers are signed and unchanged in the quarter the app stalls. At 10,000 paying subscribers AppDNA runs about $179K a year — close to one hire, for the function this page describes.

The acquisition check (illustrative math from published pricing and industry CPA ranges — never a promised result): $1.49 a month is $17.88 a year to keep and grow a subscriber you paid $30 to $150 to acquire. We bill in the same unit your acquisition budget already runs on, at a fraction of what that unit already costs you — and unlike a salary, the line falls if the subscriber base does. Run it on your own numbers.

03

A line item that behaves in a forecast

  • there is one plan at $149/mo, so there are no MAU bands to cross — no back-billing, no penalty for growing.
  • counts only paying subscribers the SDK serves that month. Free users cost nothing; the first 100 paying users each month cost nothing; above that it is a flat $1.49 per paying user — 2,500 paying users costs about $3,576 on the meter, $3,725 including the platform fee.
  • per-event fees, setup fees, integration charges, paid support tiers. Every possible charge is printed on /pricing.
  • AI costs, bounded: every plan includes an AI allowance sized so normal operation never touches it; top-ups are fixed-price packs; auto-mode requires hard cost caps you set. The AI line cannot surprise you, structurally.

the line item moves on one number you already project — paying subscribers — it is derivable to the dollar from your own forecast, and it falls if that forecast does. It budgets like infrastructure, not like marketing, and it carries none of a payroll's downward rigidity.

04

What the current stack actually costs — all-in

The honest comparison isn't AppDNA versus zero; it's AppDNA versus what you're already paying: 8–15 tool subscriptions (several per-event or per-seat), an agency retainer at $10–50K/mo (typical), and the coordination time of the people stitching it together. Typical stack-plus-team setups run $600K–$1.6M/yr against AppDNA plus 1–2 people — typical/illustrative figures; assumes published pricing; your numbers will differ. The point isn't a savings promise. It's that the current spend has never been added up in one place — and once it is, the conversation changes.

Add yours up in three minutes → Growth Stack Cost Calculator /tools/growth-stack-cost-calculator — tools, agency, headcount, itemized. (Email-gated for the breakdown; no call required.)

Consolidation is an outcome, not a precondition — AppDNA reads your existing stack from day one, zero migration, so nothing gets ripped out or written off. You retire subscriptions at their renewals, one defensible decision at a time.

05

Why not just keep what we have?

Fair default — each tool in your stack is genuinely good at its slice, and the stack got the company this far. The comparison worth making is on the four properties a budget owner actually needs:

The current stackAppDNA
What it costsPer-seat and per-event fees across 8–15 tools, each renewing separately, each priced to grow faster than your revenueOne plan: $149/mo plus $1.49 per paying subscriber above the first 100 — a fraction of one growth hire, and it falls if your subscriber base does
What you can attributeEvery platform grades its own homework; nobody owns the blended numberPer-experiment measured lift against concurrent controls, audit-logged — the line item produces its own ROI evidence
What it shipsData and recommendations; execution waits in the engineering queue, where it competes with roadmapChanges live in minutes after a named approver says yes — no release, no ticket, no waiting
What compoundsKnowledge scattered across tools, decks, and an agency's account managerGrowth Memory: every experiment, outcome, and decision in your workspace — exportable, and it never resigns

Keep whatever earns its renewal. The difference is you'll finally have the number that decides.

06

Complete on its own. Compatible with everything you already run.

RevenueCat · Adapty · Firebase · AppsFlyer · Adjust · Amplitude · Mixpanel · Braze · OneSignal

Zero migration, zero write-offs: AppDNA reads billing and events from the stack you've already paid for — consolidation happens at renewals, on your calendar.

07

A note from the founder

“

I sold growth services for a decade, so I know exactly why finance distrusts this category: the invoices are precise and the outcomes are vibes. AppDNA's answer is structural, not rhetorical — every change ships as a controlled experiment with its own control group, so the line item argues for itself at renewal. Or it doesn't, and you'll have the data either way. That's the deal I'd want offered to me.

Michael Synowiec
Michael Synowiec
Founder, AppDNA AI
08

Due diligence, free — before a dollar moves.

Paste your App Store or Google Play link. In about 2 minutes: a Growth Score (0–100), scores across all nine modules, the biggest revenue leak in the funnel, and a 90-day plan. It's a real diagnostic your growth team can be asked hard questions about — a useful internal document for the next budget conversation, whether or not anyone ever buys anything.

09

FAQ

Eight questions finance leads ask us — usually with the invoice structure open on the other screen.

01What stops the system from shipping something that damages revenue mid-quarter?

It can't ship without a named approver on your team — the agents watch, diagnose, and draft; a human says yes. When something does ship, it launches at 10% of traffic with a stop-loss on the revenue metrics you guard: anything that degrades is withdrawn automatically and logged. Think of it as a stop-loss on the P&L metric, enforced in software — bounded downside by construction, not by promise.

02Do we have to write off existing tool contracts to adopt this?

No — zero migration. AppDNA reads from RevenueCat, Adapty, Firebase, AppsFlyer and the rest on day one, so every contract runs its term. It's complete on its own, which means each renewal becomes a genuine decision instead of a hostage situation — the Stack Cost Calculator shows which renewals to question first.

03Engineering time is our most expensive line. What does this consume?

About an hour, once, for the SDK install. After that, growth changes ship with zero App Store releases — and the growth-ticket load engineering carries today (paywall changes, experiment builds, rollback releases) goes away with it. The net engineering effect is negative cost.

04Our revenue and subscriber data would be in this system. Who can see it?

Only you. Workspace isolation is enforced in code, not policy; your data never trains a shared model and is never visible to another customer. Anonymized market patterns flow in to sharpen your recommendations — nothing identifiable ever flows out. Where requirements are stricter, dedicated single-tenant deployment is available as a scoped engagement.

05What should we actually budget at our size?

Published and computable: $149/mo plus $1.49 for each paying subscriber above the first 100, so the number comes straight off your own subscriber forecast. The rate is flat rather than graduated, so budget roughly $1.49 per paying user per month once you are past the free allowance — it does not taper as you scale. There are no bands to cross and no back-billing. Honest exclusion: pre-launch apps with no live monetization funnel should start with the free audit and the content, not a subscription.

06What are the exit terms if it doesn't perform?

Self-serve is month-to-month — cancel any time, export everything: strategies, experiment history with its measured results, Growth Memory. Managed engagements carry the Service Continuity guarantee in the contract — your scope gets delivered, period: if the system ever falls short of agreed standards, we deliver the same work by hand, at the same price, until it doesn't have to. And the free audit means you saw the plan before anything was spent.

07How do we budget the usage (MTPU) line without surprises?

From your own subscriber forecast: the meter counts only paying subscribers the SDK serves that month — the first 100 are free, then $1.49 each, so 2,500 paying users runs about $3,576 on the meter, or $3,725 a month including the platform fee. It's forecastable to the dollar from numbers you already project. Note the rate is flat, not graduated: the per-user cost stays the same as you grow rather than falling. On capitalization: whether any of this is capex is a question for your accountants, not a vendor's marketing page — we'll provide whatever invoice detail they need, and that's as far as we should go.

08Can we lock pricing — annual terms, price protection?

There is no annual prepay today — billing is monthly and fully rolling, because the meter follows paying subscribers month to month. There are no bands to cross, so nothing is ever prorated or back-billed; and where customers signed on earlier published terms, those terms have been honored for their period, in writing. Every possible charge is printed on /pricing — if a line item ever appears that isn't, forward it and we'll be as confused as you.

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