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.
Five things that eat your week — and how they stop.
When every number disagrees
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.
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.
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.
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 + agency | AppDNA | |
|---|---|---|
| Sees past the install | The MMP's world largely ends at install/event postbacks; the agency sees the reports you forward | Owns onboarding, paywall, and revenue events — the post-install funnel is home turf |
| Fixes what it finds | The agency recommends; the onboarding fix goes into someone else's release cycle | Ad, landing funnel, and first screen are all editable here — message-match tests ship without a release |
| Keeps the learning | Creative learnings live in the agency's deck — and leave with the account manager | Growth Memory keeps every concept, test, and result in your workspace |
| Cost & alignment | $10–50K/mo typical, incentives tied to spend under management | One 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.
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.
A note from the founder
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.
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.

