// The delivery model, shown honestly

How we actually deliver. Nothing hidden.

An AI-native app marketing agency is an agency whose production floor is software it built, not a room of people billing hours. AppDNA Agency is that agency for subscription apps: our delivery team is the AppDNA platform — a specialist agent on every growth module, watching the client's funnel data around the clock, diagnosing problems, and drafting the fixes — and senior human strategists direct that team, verify its work, and approve every change before it ships. The volume is done by software; the judgment is done by people. Every experiment, result, and decision is logged in a workspace the client owns, so the delivery is not a black box but an audit trail. That is the difference between an agency that "uses AI tools" and an agency that is AI-native: for us, the platform isn't a tool we use — it's the production line, and the strategists are the people running it.

FreeNo pitch, we listenA real plan in 2 days
Insight Inbox// anonymized client workspace
// ONBOARDING · agent draft#EXP-3187
Reorder step 2 — value before the signup wall
Drop-off at screen 2 is 41%. Draft moves the "aha" demo ahead of signup.
MS
Sharpen the demo copy, then ship at 10% — guard trial-start rate. — Strategist review
ApproveGoverned by your rollout caps + KPI stop-loss
Live at 10% traffic · stop-loss armed
// 01 · THE THING MOST AGENCIES WON'T SHOW YOU

Yes — mostly the platform delivers. That's the strength, not the secret.

Here's the sentence other agencies would bury: most of what gets produced for your app is produced by software. The agents watch your data, diagnose the leaks, and draft the fixes — paywall variants, onboarding flows, store metadata, retention journeys, creatives — continuously, at a volume no human team could match or afford. We're not hiding that behind a stock photo of people at laptops. We're putting it on the page, because it's exactly why the model works: software does the volume and never sleeps, so senior strategists spend their hours on the thing only humans can do — deciding what's worth doing, killing what isn't, and answering for the number. An agency that pretends an army of people drafts the work is either lying or overcharging. We do neither.

Strategy stays human. Execution is automatic.

This is the whole point of an AI-native agency. If the platform weren't doing the volume, you'd be paying agency rates for people to do slowly what software does continuously — which is the model we built AppDNA to replace.

// 02 · WHO DOES WHAT

The agents do the volume. The strategists do the deciding. The line between them is the approval gate.

What platform agents do
always on · the volume
Watch your funnel data around the clock, across all nine modules
Diagnose leaks and anomalies as they appear, not at month-end
Draft the fixes: paywall variants, onboarding flows, store metadata, retention journeys, creatives
Execute approved changes through the SDK — live without an App Store release
Log every experiment, result, and decision into your Growth Memory
What senior strategists do
the hours you pay for
Set and own the strategy — where the growth is, in what order
Decide which experiments are worth running — and which aren't
Verify and approve every change before it ships
Read results, call the outcome, decide what compounds next
Run your reviews and answer for the number

The agents watch, diagnose, and draft; nothing they produce reaches your users until a strategist verifies and approves it — staged rollout from 10% of traffic, KPI stop-loss armed, every change audit-logged. The approval gate is not a formality. It's where a decade of app-growth judgment is applied to every single thing that ships.

This model is the only system that executes across the whole funnel — including inside the app itself. Store page, ads, and creatives are half the funnel; paywalls, onboarding, retention, and win-back live inside the app, and our SDK ships changes there without a release. Store-side tools stop at the store.

// 03 · WHAT HAPPENS BEFORE ANYTHING GOES LIVE

Every change passes through the same gate. Here's exactly what it looks like.

1

The agent drafts

A module's agent spots something in your data — say, a drop-off on the second onboarding screen — and drafts a fix from your own funnel data. It lands as a card in your Insight Inbox: the problem, the proposed change, and the reasoning.

2

The strategist reviews

A senior strategist reads the card, checks it against the strategy and your guardrails, and either sharpens it, kills it, or approves it. This is the judgment you're paying for — the agent proposes, the human decides.

3

You approve (or set it and forget it)

You choose the governance: which changes need your sign-off too, which the strategist can approve alone, rollout caps, and KPI stop-losses. Nothing ships beyond the rules you set.

4

It ships, staged

The approved change goes live through the SDK — no App Store release. It starts at 10% of traffic with a stop-loss armed, so a bad change is caught and withdrawn automatically before it can hurt the number.

5

It logs itself

The change, who approved it, when it shipped, and what it did all land in your workspace's audit trail and Growth Memory. The learning is recorded before the strategist has closed the tab.

Approve like email. The system ships.

// 04 · THE END OF "WHAT DID WE GET THIS MONTH?"

Every change, who approved it, when it shipped, what it did. Open it any afternoon.

A traditional agency's report says "optimizing." Ours can't, because there's no place for a vague answer to hide. Everything that happens for your app is logged in a workspace you own: every experiment the agents drafted, every decision a strategist made, every change that shipped and what it moved.

The Insight Inbox
Every drafted experiment, live and past, with the strategist's decision attached.
The audit trail
Every shipped change: who approved it, when, and its measured effect.
Growth Memory
Every experiment, win or lose, written into institutional knowledge that never resigns.
The playbooks
The strategies we build for your app, living in your workspace, not our drive.
Audit trail// yours to export
changeapproved byeffectPaywall — annual defaultM. Synowiec+6.2% trialOnboarding — reorder step 2Strategist+11% D1Win-back push cadenceStrategistheld (stop-loss)Store screenshots A/BM. Synowiec+3.4% CVR

Fire us and keep everything.

The workspace, the history, and the learnings are yours — written into the contract, not the goodbye email. To our knowledge we are the only full-service subscription-app agency delivered on its own Growth OS — where you keep the workspace, the data, and the playbooks if you leave.

// 05 · WHAT THE FIRST QUARTER ACTUALLY LOOKS LIKE

Audit → plan → live experiments → a weekly shipping rhythm.

Week 1

Discovery & kickoff

It starts with a discovery call — we get deep on your app, your goals, and where the funnel is leaking. No setup asked of you yet; this is the conversation that shapes everything after.

Week 2

The conception

You get a comprehensive Growth Conception: where your funnel leaks, what we'd fix first and why, and a 90-day roadmap. Built in two days, shaped with you until it's yours to keep.

Weeks 2–3

First experiments live

Your workspace is created — yours from day one — and the SDK gets installed in under an hour of engineering time. First experiment live within 14 days of kickoff. The agents draft from your real data, a strategist approves, and it ships staged from 10% of traffic with a stop-loss armed.

Weeks 4–8

The rhythm sets in

Agents draft continuously across your highest-leverage modules; strategists prioritize, verify, and approve; experiments ship weekly. You watch it happen in the Insight Inbox — no waiting for a monthly report.

Weeks 8–11

Compounding

Growth Memory deepens. The system knows your app better each week, and the drafts get sharper because they're grounded in what already worked for you. Monthly strategy review, log open on screen.

Week 12

The compounding review

What Growth Memory learned this quarter, what compounds next, and where the strategist hours are best spent from here. The plan updates itself from evidence, not opinion.

After week twelve, the rhythm continues — and, by design, the strategist hours you need should trend down as your workspace gets smarter, not up. We work ourselves out of the retainer; the system stays.

// 06 · THE REFRAME, STATED PLAINLY

"Mostly the platform delivers" is exactly what you're buying.

Some buyers hear "software does most of it" and wonder what they're paying for. Here's the honest math. A traditional agency charges you agency rates for humans to do — slowly, in six-week cycles — what our platform does continuously. Our model inverts that: the platform does the volume at software economics, so your budget buys senior judgment on top of it instead of junior hours underneath it. The platform doing the volume isn't the compromise. It's the entire reason the results are better and the price is honest.

More gets shipped

Software drafts around the clock; experiments ship weekly, not in six-week cycles. Knowing was never the bottleneck — shipping was.

Every dollar buys judgment

Your hours pay for the strategists deciding and approving, not for bodies doing volume a machine does better.

Nothing walks out the door

The learning lives in your Growth Memory, not a person's head. People can leave. The learning stays.

We ran this loop by hand for a decade. AppDNA is the loop, automated.

// 07 · FOR THE PERSON WHO HAS TO SIGN OFF

Governance, isolation, and an exit — in writing.

If you're the person answering for risk, this is your section. The delivery model isn't just fast; it's governed. You set the approval rules, the rollout caps, and the KPI stop-losses. Your data isn't used to train anyone else's model. And the exit is contractual.

Approval-gated writes

Every change is human-approved before it ships — the agents cannot act alone by default.

Staged rollouts + stop-loss

Changes start at 10% of traffic; a KPI stop-loss withdraws anything that hurts a guarded metric, automatically.

Full audit trail

Every change is logged with who, when, and what it did — exportable, yours.

Data isolation

Your data never trains competitors. Anonymized market patterns flow in; nothing identifiable flows out.

Contractual exit

Fire us and keep everything — workspace, Growth Memory, and playbooks transfer, in the contract.

One call. A real plan in two days. Then you decide.

Book a discovery call. Two days later you get a Growth Conception for your live app — where the funnel leaks, what we'd fix first and why, and a 90-day roadmap. It's free, it's substantial, and it's yours to keep either way. If you want to watch the delivery model work before you commit, that's exactly what the plan lets you do.

FreeNo pitch, we listenYou keep the conception either way
// 08 · FAQ

Before you trust the model.

Six questions procurement, skeptics, and careful founders ask before they trust the model.

The platform's agents do most of the production volume — watching your data, diagnosing leaks, and drafting the fixes around the clock. That's true, and we say it plainly because it's the strength of an AI-native agency, not something to hide. What the agents don't do is decide. Senior human strategists direct the work, verify it, and approve every change before it ships. Software does the volume; people do the judgment. Nothing reaches your users without human approval.

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