// AI-NATIVE AGENCYAgencies promise results. We publish ours — with the era labeled.
Every number below is verified against one claims register we share with the AppDNA platform. Where a result came from a decade of hands-on services work, it says so. Where a result comes from the AI-native engagements running now, it publishes when it's measured — not before.
We ran this loop by hand for a decade. AppDNA is the loop, automated.
AppDNA Agency is an AI-native app marketing agency — senior human strategists directing an AI execution platform, with every engagement running in a workspace the client owns. Its published results come in two clearly labeled eras: the services era, when the AppDNA team delivered growth engagements by hand across ten years and roughly 300 apps, and the platform era, in which managed engagements run on the AppDNA Growth OS and publish their measured results here as they complete.
Ten years of running the loop manually — the results the method earned.
Before the platform existed, this agency was the delivery mechanism: audit the funnel, find the biggest leak, ship the fix, measure, keep what works. These engagements — each roughly a year long — are that method at work, by hand.
The play: audit-first, onboarding-led — funnel repair before acquisition spend.
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.
Delivered as services by the AppDNA team — the practice that became the platform.
How the same play runs today: the audit is instant and free, the onboarding variants are drafted by the system from your drop-off data, a senior strategist reviews them, and you approve what ships — without an App Store release.
The play: the retention journey — a designed flow for every lifecycle stage.
A global brand's app with no structured retention flow, and a reputation problem: an average rating of 2.0, about 25 App Store reviews a week — 60% of them 1-star.
Rebuilt the first-time user experience, created a customer journey map, and designed a tailored flow for every retention period — activation, long-term retention, win-back. Then rebuilt the reputation flow so satisfied users were actually asked, and unhappy ones were helped first.
Delivered as services by the AppDNA team — the practice that became the platform.
How the same play runs today: the retention and feedback agents watch every lifecycle stage continuously and draft the journey changes; the strategist sets the sequence; you approve. What took a year of manual iteration ships in weekly cycles.
The play: ASO and paid UA run as one system instead of two budgets.
An established mobile-games publisher overpaying for downloads: no ASO strategy, high CPI, low ROAS, and store pages that didn't convert.
Audit first, then an ASO strategy built on keyword and conversion optimization, custom product pages per user cohort, creative testing for paid campaigns — and, critically, ASO and paid UA aligned so they reinforced each other instead of cannibalizing keywords.
Delivered as services by the AppDNA team — the practice that became the platform.
How the same play runs today: the ASO and paid UA agents share one data pipeline by architecture — the keyword cannibalization we untangled by hand for Homa is now something the system is structurally unable to miss.
The play: ASO plus a reputation-management loop — rankings and ratings rising together.
A calorie-counter app (Kalorické tabulky) fighting for visibility on competitive health & fitness keywords across six markets — and carrying a store rating that capped conversion before users ever reached the paywall.
Ran continuous ASO — keyword research, monthly metadata iterations, and A/B tests on screenshots and preview video. Then built a reputation loop: detect a user's happy moment, ask for the rating then, intercept negative feedback before it reached the store, and route complaints into the product roadmap so the fixes compounded.
Delivered as services by the AppDNA team — the practice that became the platform.
How the same play runs today: the ASO and reputation agents run this loop continuously — the system watches ranking and review signals together, drafts metadata and rating-prompt changes, and the strategist approves what ships.
The play: ASO conversion testing — store-listing variants that lift installs on both stores.
Eastern Europe's fashion e-commerce leader — 80,000 products from 300+ brands — with a store presence that under-converted the traffic it already earned.
Mapped the search landscape with keyword-theme research, then tested short-description variants — the line that drives both Google Play rankings and listing conversion — against the control, learned which messaging lifted installs, and rolled the winners across iOS and Android.
Delivered as services by the AppDNA team — the practice that became the platform.
How the same play runs today: the ASO agents run listing optimization continuously — keyword mapping and description tests are drafted from live store data, and the strategist approves what ships.
The play: funnel first, then fuel — the full method end to end.
The client wanted more downloads. The analysis said otherwise: acquisition costs were high because the funnel underneath was broken — downloads weren't becoming registrations or subscribers. Scaling spend would have scaled the waste.
Fixed the funnel first — sign-in timing, personalization length, paywall placement and design, pricing options, trials, onboarding discounts — then rebuilt acquisition on top: an ASO overhaul, redesigned store creatives, restructured paid campaigns, and fraud elimination in affiliate traffic.
Delivered as services by the AppDNA team. Client name withheld under NDA — the numbers are theirs; the method is ours.
How the same play runs today: the same full-funnel method runs continuously — the agents watch sign-in, paywall, and pricing surfaces together, and the strategist sequences the fixes in the order that compounds.
Six engagements, one pattern: funnel first, then fuel. That pattern is now the operating logic of every managed engagement — the audit finds the leak, the agents draft the fix, the strategist directs, you approve, and Growth Memory keeps the learning in your workspace.
Managed engagements are running on the platform now. Their results publish here as they complete.
Every managed client runs in their own AppDNA workspace, with an agreed success metric tracked from day one and every experiment logged in Growth Memory. We publish measured results, with the client's approval, under the same standard as everything above. These early platform-era engagements are under NDA, so the numbers are real and the names are withheld.
Scaled onboarding experimentation from 2 to 20 tests per quarter. Faster learning compounded through the funnel.
Identified user cohorts on the platform, then served each cohort dedicated ads, onboarding, paywall, emails and pushes.
Built one coherent funnel across the whole journey, replacing disconnected point tactics.
Want your app to be one of these cards? Managed Growth runs at $250/hour plus your platform plan, with example engagements from $1,500/mo — and everything we build stays in your workspace.
See Managed Growth →
Every result on this page started the same way: someone looked at the funnel honestly.
Book a call and you leave with a Growth Conception — a comprehensive plan for growing your live app, free, in two days, yours to keep either way. Or start with the free instant audit and see your biggest leak in about two minutes.
When an agency shows you numbers.
By people — and we label it that way on every card. The named cases above come from the services era: ten years of engagements the AppDNA team delivered by hand, the practice that became the platform. Today's engagements run differently — the platform's agents execute, senior strategists direct, and you approve everything — and their measured results publish in the platform-era section as they complete. We never let one era borrow the other's numbers.
Missing your question? Ask us directly — a human replies within one business day.