Founding pricingFounding rates locked in for apps that start before August 31, 2026.
FOR MARKETING & UA

Less creative churn and attribution fog. More ROAS you can defend.

Your MMP counts installs it can still see. The ad platforms grade their own homework. The revenue lives in a different tool from the spend. AppDNA doesn't pretend to un-break ATT — it changes what you optimize on: the full chain from click to onboarding to paywall to subscription, in the one system that owns all four.

AppDNA is the App Growth OS for subscription apps; for UA teams it is the system that connects paid acquisition to subscription outcomes: campaigns across 9 ad platforms, creative management, web-to-app funnels, and organic social run in the same system that owns the app's onboarding, paywall, and revenue events — so spend decisions are made against trial→paid data instead of install counts.

Free · ~2 minutes · No credit card
01

Five things that eat your week — and how they stop.

1The creative treadmill
Today

dozens of variants a week — briefing, resizing, renaming, uploading, and watching last month's winner fatigue into a loser while the next batch is still in review.

On AppDNA

creative management lives inside the Paid UA module, next to your positioning. Variants are drafted from your ICP & USP module — your actual value props, not a generic hook list — organized by concept, and tracked against funnel outcomes, so you retire fatigued creative on data instead of vibes. You approve everything before it runs.

2SKAN blindness
Today

65%+ of iOS users are untrackable post-ATT (industry research) — you're optimizing a majority-blind channel with tools built for a world that ended in 2021.

On AppDNA

the response isn't a workaround; it's owning the other side of the install. Because AppDNA runs your onboarding, paywall, and revenue events, you see what cohorts do after install — activation, trial starts, subscriptions — even where install-level attribution is fog. You steer on the funnel you fully see, not the click you half-see.

3The "which campaign drove subscriptions?" meeting
Today

AppsFlyer says installs, RevenueCat says revenue, the ad platforms each claim credit for everything, and your deck says "directionally, TikTok."

On AppDNA

one event pipeline reads your MMP and your subscription data next to spend — installs, trials, and trial→paid per campaign in one view. Not a modeling miracle; a plumbing fix. The meeting gets shorter.

4The message-match gap
Today

the ad promises "sleep better in 7 days"; the onboarding opens with an account form. You know the mismatch burns conversion — but the onboarding belongs to another team and another release cycle.

On AppDNA

ads and onboarding live in one system, so you can align the first screen with the ad's promise — and test onboarding variants per campaign concept without a release. Message match becomes an experiment you run, not a request you file.

5Defending the budget to the CFO
Today

quarterly review, one slide, and a ROAS number you can't fully stand behind because you know what the MMP can't see.

On AppDNA

your defense is the funnel, not the model: spend next to trial starts next to subscriptions, per campaign, plus the experiment log showing what you tested and what it moved. And the compounding math is on your side — 10% improvement at each of four funnel stages ≈ 46% MRR (1.1⁴ ≈ 1.46). Budget conversations go better when the funnel data is in the room.

02

When every number disagrees

THURSDAY, BUDGET REVIEW MINUS ONE DAY

Nadia runs paid for a fitness app. Meta's numbers disagree with AppsFlyer's; both disagree with finance. Her best-performing creative fatigued on Tuesday and the replacement batch is stuck in someone's review queue. Tomorrow the CFO will ask which half of the $80K worked, and the honest answer — "the half iOS lets me see" — isn't going on a slide.

One UA lead. Four sources of truth. Zero numbers she'd sign.

THE SAME THURSDAY, ON APPDNA

Nadia opens one view: spend per campaign, and the funnel each campaign fed — trial starts, trial→paid, revenue. The fatigued concept is flagged against its own history; the replacement variants are drafted from her app's positioning, awaiting her approval. Tomorrow's slide is the funnel itself. She'd sign it.

Same UA lead. One system. A number that survives the CFO.

03

The four surfaces your spend flows through — finally in one place.

Paid UA — campaigns across 9 ad platforms.

Plan, run, and read campaigns across 9 ad platforms in one place — with performance shown against funnel outcomes, not platform-reported conversions. The spend decision and the revenue data stop living in different tabs.

Creative management — the variant machine with taste.

A creative library organized by concept and hook, with variants drafted from your ICP & USP module and every asset tracked against the funnel it fed. Volume without the renaming-files-at-midnight part — and nothing runs without your approval.

Web-to-App — the funnel ATT can't fog.

Landing funnels and web checkout that convert the click before the store: web-to-app funnels run at roughly 2× click-to-subscribe versus sending the same click straight to the store (industry research) — the catch is usually data plumbing, which is exactly the part the one-pipeline system absorbs. You get a measurable web step, a payment relationship, and a funnel you control end to end.

Organic Social — the channel that compounds while paid rents.

Pillars, schedules, and analytics for the content side — run from the same positioning as your ads, so organic and paid finally tell the same story. The channel your CFO likes best: the one without an invoice.

Trajectory note (🔜 — labeled, kept honest): Where the platform is going: deeper click-level attribution is on the AppDNA roadmap — the goal is spend decisions grounded in the funnel data the system already owns. That part is trajectory, not today's feature list. What runs today is everything above.

04

Why not just the MMP plus an agency?

Keep the MMP — genuinely. Attribution measurement is its job and it's good at it. And a good agency brings real hands and real platform expertise. Here's what the pairing still can't do.

MMP + agencyAppDNA
Sees past the installThe MMP's world largely ends at install/event postbacks; the agency sees the reports you forwardOwns onboarding, paywall, and revenue events — the post-install funnel is home turf
Fixes what it findsThe agency recommends; the onboarding fix goes into someone else's release cycleAd, landing funnel, and first screen are all editable here — message-match tests ship without a release
Keeps the learningCreative learnings live in the agency's deck — and leave with the account managerGrowth Memory keeps every concept, test, and result in your workspace
Cost & alignment$10–50K/mo typical, incentives tied to spend under managementOne system, flat with your plan — its only incentive is your funnel improving

The MMP measures the click. The agency works the platforms. AppDNA owns what happens after the tap — which is where subscriptions are actually won.

05

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

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

Zero migration — and zero turf war. AppDNA reads your MMP and billing data from day one; your attribution setup stays exactly as it is.

06

A note from the founder

UA leads got the rawest deal of the ATT era: the tracking broke, the budgets didn't shrink, and the questions got harder. You can't model your way back to 2020. But you can own the funnel after the tap — and that's a better position than the old one, because that funnel you can actually change.

Michael Synowiec
Michael Synowiec
Founder, AppDNA AI
07

Before the next budget review — see where the funnel leaks.

Paste your App Store or Google Play link. The audit scores your paid UA, web-to-app, and organic modules alongside the six others, finds the biggest leak between click and subscription, and gives you a 90-day plan. Free — and a stronger appendix than any platform-reported ROAS.

08

FAQ

Eight questions UA and marketing people ask — usually right after "wait, it ships changes?"

01Will the system touch our live campaigns and burn spend overnight?

No — every write is approval-gated, including anything campaign-adjacent, and auto-mode is an explicit opt-in with hard cost caps. Changes to in-app surfaces roll out staged from 10% with stop-losses on the metrics you guard. The system's default posture is propose-and-wait, not act-and-apologize.

02We run AppsFlyer, Meta, TikTok, and Google. Does this replace the MMP?

No — AppDNA reads from AppsFlyer (or Adjust) on day one, zero migration. What it adds is the part your MMP can't do: connecting acquisition to what happens after the install — this ad → this onboarding → this paywall → this revenue — and then shipping the fix at whichever stage is leaking. Your attribution setup stays; it finally gets acted on.

03How do we test landing and paywall changes without waiting on engineering?

That's the mechanism: after a one-hour SDK install, paywall, onboarding, and web-to-app funnel changes ship from the console — no release, no review cycle, no ticket. The creative you shipped Tuesday can have a matching paywall test live Wednesday, not in the next sprint.

04Does our CAC and funnel data feed anyone else's benchmarks identifiably?

Never identifiably. Your workspace is isolated in code; your data doesn't train shared models and isn't visible to other customers. The category benchmarks you see are anonymized patterns — you draw from the pool without ever being visible in it.

05Our spend is modest — is this for teams buying serious volume?

It works at both ends, differently. Modest spend: the system makes every installed user worth more (onboarding, paywall, retention), which is what makes higher bids affordable — the post-ATT playbook. Serious volume: it's the connective layer between UA and the in-app funnel that your current tools each see half of. If you're pre-launch with no live funnel, start with the free audit instead.

06If it doesn't move our numbers, what's our exit?

The audit is free and shows the plan before any commitment. Self-serve is month-to-month; the first experiment is live within 14 days of SDK install, so you're judging shipped results, not promises. Leave any time — your experiment history and strategies export with you.

07We ship dozens of creative variants a week. Can it keep up?

That volume is what creative management is built for: variants drafted from your positioning modules, organized by concept and hook, tracked against funnel outcomes so fatigue shows up in data before it shows up in ROAS. The bottleneck it removes isn't ideation — it's the briefing-resizing-renaming-reporting loop around it. You stay the taste; it does the treadmill.

08How do I know an experiment actually caused the lift — not seasonality or a campaign change?

Because experiments here are controlled, not observational: staged rollouts mean part of your traffic always holds the old experience as the comparison, SRM detection flags broken splits before you trust them, and winners are called against guardrail metrics by pre-set criteria. That's incrementality you can defend in the same meeting as the budget — measured lift against a concurrent control, not a before/after chart. Missing your question? Ask us directly — a human replies within one business day.

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

See your biggest leak — free, in about 2 minutes.

Free · ~2 minutes · No credit card
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