App Growth Console
for Subscription
Mobile Apps
AppDNA AI turns your app into a self-optimizing growth machine — one system, one SDK, executing full-funnel improvements automatically while you sleep.



We understand your pain
“We know users churn — but fixing it takes weeks, and by then the data is already stale.”
Retention work depends on fast iteration: lifecycle triggers, in-app flows, value moments. Instead, teams wait on releases, juggle tools, and ship changes too slowly to move D0–D7 metrics. What I really need: faster, safer execution across the lifecycle — not more dashboards.
Olivia
Retention / Lifecycle Manager
“We know users churn — but fixing it takes weeks, and by then the data is already stale.”
Retention work depends on fast iteration: lifecycle triggers, in-app flows, value moments. Instead, teams wait on releases, juggle tools, and ship changes too slowly to move D0–D7 metrics. What I really need: faster, safer execution across the lifecycle — not more dashboards.
Olivia
Retention / Lifecycle Manager
“We lose users in the first minute — but changing onboarding is risky and slow.”
Onboarding determines whether users reach value, the paywall, and retention loops. Yet even small changes often require coordination across teams and delayed releases. What I really need: the ability to ship onboarding improvements safely and continuously.
EMMA
Onboarding / Product Growth Manager
“We lose users in the first minute — but changing onboarding is risky and slow.”
Onboarding determines whether users reach value, the paywall, and retention loops. Yet even small changes often require coordination across teams and delayed releases. What I really need: the ability to ship onboarding improvements safely and continuously.
EMMA
Onboarding / Product Growth Manager
“We already handle billing — but deciding what paywall to show, when, and to whom is still slow and manual.”
Billing infrastructure solves payments, not monetization execution. Paywall performance depends on timing, context, and iteration — testing different offers during onboarding, lifecycle moments, geos, and user intents. Without a system to execute these changes safely and continuously, experiments stay isolated, slow, and hard to scale. What’s missing isn’t billing — it’s a full-funnel execution layer that learns and improves over time.
Noah
Paywall / Monetization Specialist
“We already handle billing — but deciding what paywall to show, when, and to whom is still slow and manual.”
Billing infrastructure solves payments, not monetization execution. Paywall performance depends on timing, context, and iteration — testing different offers during onboarding, lifecycle moments, geos, and user intents. Without a system to execute these changes safely and continuously, experiments stay isolated, slow, and hard to scale. What’s missing isn’t billing — it’s a full-funnel execution layer that learns and improves over time.
Noah
Paywall / Monetization Specialist
Strategy stays human. Execution becomes automatic.
From Fragmented Roles to One Growth System
Execution Engine
AppDNA deploys approved changes automatically via a lightweight SDK and feature flags. Run experiments, rollouts, and optimizations without waiting for sprints or store submissions.

Execution Engine
AppDNA deploys approved changes automatically via a lightweight SDK and feature flags. Run experiments, rollouts, and optimizations without waiting for sprints or store submissions.

Execution Engine
AppDNA deploys approved changes automatically via a lightweight SDK and feature flags. Run experiments, rollouts, and optimizations without waiting for sprints or store submissions.

Full-Funnel Growth System
Instead of optimizing isolated tactics, AppDNA runs the entire app funnel as one system — prioritizing what moves revenue and retention first.

Full-Funnel Growth System
Instead of optimizing isolated tactics, AppDNA runs the entire app funnel as one system — prioritizing what moves revenue and retention first.

Full-Funnel Growth System
Instead of optimizing isolated tactics, AppDNA runs the entire app funnel as one system — prioritizing what moves revenue and retention first.

Approval Inbox
Every proposed change flows through a single approval inbox — similar to email. Accept, edit, schedule, or reject changes with full context and impact.

Approval Inbox
Every proposed change flows through a single approval inbox — similar to email. Accept, edit, schedule, or reject changes with full context and impact.

Approval Inbox
Every proposed change flows through a single approval inbox — similar to email. Accept, edit, schedule, or reject changes with full context and impact.

Safety & Guardrails by Default
All changes ship with traffic caps, staged rollouts, instant rollback, and a full audit log — so execution is fast and safe.

Safety & Guardrails by Default
All changes ship with traffic caps, staged rollouts, instant rollback, and a full audit log — so execution is fast and safe.

Safety & Guardrails by Default
All changes ship with traffic caps, staged rollouts, instant rollback, and a full audit log — so execution is fast and safe.

Growth Memory & Compounding Learning
Every experiment, decision, and result is stored as your app’s growth memory — so learning compounds instead of resetting when people, tools, or agencies change.

Growth Memory & Compounding Learning
Every experiment, decision, and result is stored as your app’s growth memory — so learning compounds instead of resetting when people, tools, or agencies change.

Growth Memory & Compounding Learning
Every experiment, decision, and result is stored as your app’s growth memory — so learning compounds instead of resetting when people, tools, or agencies change.

Ensuring your speedy workflow
Auto-Save Everything
Work without worry, every time.
Auto-Save Everything
Work without worry, every time.
Auto-Save Everything
Work without worry, every time.
Drag-and-Drop Blocks
Rearrange sections with the block editor.
Drag-and-Drop Blocks
Rearrange sections with the block editor.
Drag-and-Drop Blocks
Rearrange sections with the block editor.
App Growth Assistant
Just tell what you need and your app growth assistant will get your things done in seconds.
App Growth Assistant
Just tell what you need and your app growth assistant will get your things done in seconds.
App Growth Assistant
Just tell what you need and your app growth assistant will get your things done in seconds.
Strategy & System Setup
We can help you design your full-funnel growth system once — goals, priorities, guardrails, and execution rules — so AppDNA can operate autonomously. No ongoing consulting required.
Strategy & System Setup
We can help you design your full-funnel growth system once — goals, priorities, guardrails, and execution rules — so AppDNA can operate autonomously. No ongoing consulting required.
Strategy & System Setup
We can help you design your full-funnel growth system once — goals, priorities, guardrails, and execution rules — so AppDNA can operate autonomously. No ongoing consulting required.
#how it works
A single system that turns app growth into a repeatable loop
Connect
AppDNA connects to your existing tools (analytics, attribution, monetization) or via a lightweight SDK.
This creates a single source of truth for your entire funnel — onboarding, paywalls, retention, lifecycle, and ASO.
No migrations. No rebuilds.
Your stack stays — AppDNA becomes the execution layer on top.






Detect
AppDNA continuously analyzes your funnel to identify:
where users drop
where value isn’t reached
where revenue and retention leak
Instead of isolated metrics, the system looks at the full funnel as one system, prioritizing the highest-impact opportunities first.






Execute
Ship improvements without risky releases.
Based on proven playbooks and your app’s data, AppDNA proposes concrete changes:
what to change
where to apply it
who should see it
what success looks like
Once approved, changes are deployed automatically via SDK and feature flags:
staged rollouts
traffic caps
instant rollback
full audit log
Execution happens in days, not weeks — without breaking your release cycle.






Learn & Self-Optimize
Turn every experiment into long-term advantage.
Every test, result, and decision is stored in one place.
Over time, AppDNA becomes your app’s growth memory — capturing what worked, where, and why.
Learning compounds.
Momentum stays with your team — even if people, tools, or agencies change.






Our unfair advantage
Other App Growth Tools
Focus on measurement, not execution
Solve one slice of the funnel (analytics, paywalls, A/B tests)
Require manual coordination across teams and tools
Depend on frequent app releases to make changes
Lose learnings when people, tools, or agencies change

Other App Growth Tools
Operates as an execution layer on top of your stack
Covers the entire funnel by default (onboarding, paywalls, retention, ASO)
Ships improvements automatically via one SDK and feature flags
Runs in a weekly execution loop — not ad-hoc experiments
Stores every test, result, and decision as your growth memory
Our unfair advantage
Other App Growth Tools
Operates as an execution layer on top of your stack
Covers the entire funnel by default (onboarding, paywalls, retention, ASO)
Ships improvements automatically via one SDK and feature flags
Runs in a weekly execution loop — not ad-hoc experiments
Stores every test, result, and decision as your growth memory
Operates as an execution layer on top of your stack
Covers the entire funnel by default (onboarding, paywalls, retention, ASO)
Ships improvements automatically via one SDK and feature flags
Runs in a weekly execution loop — not ad-hoc experiments
Stores every test, result, and decision as your growth memory
Operates as an execution layer on top of your stack
Covers the entire funnel by default (onboarding, paywalls, retention, ASO)
Ships improvements automatically via one SDK and feature flags
Runs in a weekly execution loop — not ad-hoc experiments
Stores every test, result, and decision as your growth memory
Other App Growth Tools
Focus on measurement, not execution
Solve one slice of the funnel (analytics, paywalls, A/B tests)
Require manual coordination across teams and tools
Depend on frequent app releases to make changes
Lose learnings when people, tools, or agencies change
Other App Growth Tools
Focus on measurement, not execution
Solve one slice of the funnel (analytics, paywalls, A/B tests)
Require manual coordination across teams and tools
Depend on frequent app releases to make changes
Lose learnings when people, tools, or agencies change


Execution without friction
Ship improvements in days - not weeks
AppDNA removes the execution bottleneck in app growth. Changes don’t wait for sprints, releases, or coordination across teams. Once approved, improvements ship safely via SDK and feature flags — without disrupting your release cycle.
Execution without friction
Ship improvements in days - not weeks
AppDNA removes the execution bottleneck in app growth. Changes don’t wait for sprints, releases, or coordination across teams. Once approved, improvements ship safely via SDK and feature flags — without disrupting your release cycle.
Execution without friction
Ship improvements in days - not weeks
AppDNA removes the execution bottleneck in app growth. Changes don’t wait for sprints, releases, or coordination across teams. Once approved, improvements ship safely via SDK and feature flags — without disrupting your release cycle.
One system for the entire funnel
Stop optimizing in silos
Most tools optimize one piece of growth. AppDNA runs the full system. Onboarding, paywalls, retention, lifecycle, ASO — all connected, prioritized, and executed together as one funnel. No tool sprawl. No broken handoffs. One source of truth.
One system for the entire funnel
Stop optimizing in silos
Most tools optimize one piece of growth. AppDNA runs the full system. Onboarding, paywalls, retention, lifecycle, ASO — all connected, prioritized, and executed together as one funnel. No tool sprawl. No broken handoffs. One source of truth.
One system for the entire funnel
Stop optimizing in silos
Most tools optimize one piece of growth. AppDNA runs the full system. Onboarding, paywalls, retention, lifecycle, ASO — all connected, prioritized, and executed together as one funnel. No tool sprawl. No broken handoffs. One source of truth.




Learning that compounds
Your app gets smarter every week
Every test, decision, and result is stored in one place. Over time, AppDNA becomes your app’s growth memory — capturing what worked, where, and why. Momentum stays with your product — even if people, tools, or agencies change.
Learning that compounds
Your app gets smarter every week
Every test, decision, and result is stored in one place. Over time, AppDNA becomes your app’s growth memory — capturing what worked, where, and why. Momentum stays with your product — even if people, tools, or agencies change.
Learning that compounds
Your app gets smarter every week
Every test, decision, and result is stored in one place. Over time, AppDNA becomes your app’s growth memory — capturing what worked, where, and why. Momentum stays with your product — even if people, tools, or agencies change.
#PRICING
Plans for every stage of app growth
Monthly
Yearly
30% off
Starter
Nail positioning + organic growth. Automate 1 core loop.
ICP/USP + ASO + Organic Social modules
Experiments + recommendations to find first wins
SDK analytics events only (no automation)
Automate 1 module with preset guardrails
10 indicators + 3‑month Growth Memory
Pro
Full-funnel system. Automate 2 modules safely.
All funnel modules included, end to end
Automate 2 modules via SDK + flags
Configurable guardrails + staged rollouts
Basic category playbooks + funnel setups
30 indicators + 12‑month Growth Memory
Autopilot
Always-on execution. The system optimizes weekly.

Full-funnel automation + Auto‑Optimize mode
Real-time guardrails + instant rollback
Advanced playbooks for scaling subscription apps
Competitor monitoring + Persona Gap Finder
138 indicators + 48‑month memory + content calendar
Enterprise
Autopilot + governance. Custom system for scale.
Everything in Autopilot + custom playbooks
138 + custom indicators you define
SSO, auditability, enterprise governance controls
Dedicated success, SLA, priority support
API/custom integrations, unlimited seats + memory + private deployment
SDK Pricing
Mandatory for Pro and Autopilot plans. Pricing is calculated per MTPU (Monthly Tracked Paying User), not MAU.
Example: If you have 2,500 MTPU, you’d pay $0.20 per user = $500/month.
#PRICING
Plans for every stage of app growth
Monthly
Yearly
30% off
Starter
For early-stage apps that want a real funnel system - without tool sprawl.
ICP/USP + ASO + Organic Social modules
Experiments + recommendations to find first wins
SDK analytics events only (no automation)
Automate 1 module with preset guardrails
10 indicators + 3‑month Growth Memory
Pro
Full-funnel system. Automate 2 modules safely.
All funnel modules included, end to end
Automate 2 modules via SDK + flags
Configurable guardrails + staged rollouts
Basic category playbooks + funnel setups
30 indicators + 12‑month Growth Memory
Autopilot
Always-on execution. The system optimizes weekly.

Full-funnel automation + Auto‑Optimize mode
Real-time guardrails + instant rollback
Advanced playbooks for scaling subscription apps
Competitor monitoring + Persona Gap Finder
138 indicators + 48‑month memory + content calendar
Enterprise
Autopilot + governance. Custom system for scale.
Everything in Autopilot + custom playbooks
138 + custom indicators you define
SSO, auditability, enterprise governance controls
Dedicated success, SLA, priority support
API/custom integrations, unlimited seats + memory + private deployment
SDK Pricing
Mandatory for Pro and Autopilot plans. Pricing is calculated per MTPU (Monthly Tracked Paying User), not MAU.
Example: If you have 2,500 MTPU, you’d pay $0.20 per user = $500/month.
#PRICING
Plans for every stage of app growth
Monthly
Yearly
30% off
Starter
Nail positioning + organic growth. Automate 1 core loop.
ICP/USP + ASO + Organic Social modules
Experiments + recommendations to find first wins
SDK analytics events only (no automation)
Automate 1 module with preset guardrails
10 indicators + 3‑month Growth Memory
Pro
Full-funnel system. Automate 2 modules safely.
All funnel modules included, end to end
Automate 2 modules via SDK + flags
Configurable guardrails + staged rollouts
Basic category playbooks + funnel setups
30 indicators + 12‑month Growth Memory
Autopilot
Always-on execution. The system optimizes weekly.

Full-funnel automation + Auto‑Optimize mode
Real-time guardrails + instant rollback
Advanced playbooks for scaling subscription apps
Competitor monitoring + Persona Gap Finder
138 indicators + 48‑month memory + content calendar
Enterprise
Custom solutions and dedicated support for large organizations.
Enterprise SLA + dedicated support
SSO + advanced access controls
Custom playbooks + reporting
Private deployment option
API access + unlimited growth memory
SDK Pricing
Mandatory for Pro and Autopilot plans. Pricing is calculated per MTPU (Monthly Tracked Paying User), not MAU.
Example: If you have 2,500 MTPU, you’d pay $0.20 per user = $500/month.
Hey,
I’m Michael
Founder of AppDNA AI


A few years ago, I spent countless hours trying to grow mobile subscription apps.
We had the data.
We had the ideas.
We had smart people.
But every experiment took weeks.
Onboarding changes, paywall tests, retention fixes - all stuck in planning, coordination, and releases.
Most of the time wasn’t spent on growth.
It was wasted on execution.
That friction was exhausting - and expensive.
Over time, I realized the real problem wasn’t strategy or creativity.
It was that app growth was still completely manual.
So I started building the system I wished I had.
We built AppDNA AI to turn app growth into something predictable and continuous:
Automatically detect leaks across the full funnel
Safely ship improvements without constant releases
Let learning compound instead of getting lost.
Today, AppDNA AI helps subscription apps turn growth into a system - one that improves every week, without chaos.
Frequently Asked Questions
got specific questions?
What is AppDNA AI?
AppDNA AI is an App Growth Console for subscription mobile apps. It connects your existing tools (analytics, attribution, monetization) or a lightweight SDK, detects growth leaks across the full funnel, and executes approved improvements automatically — without app releases. Think of it as the execution layer your app stack is missing.
How is AppDNA AI different from analytics tools?
Analytics tools tell you what happened. AppDNA tells you what to change — and ships it. Instead of dashboards and reports, AppDNA proposes concrete improvements (onboarding, paywalls, retention, ASO), routes them through an approval inbox, and deploys them safely via SDK and feature flags. Execution, not analysis.
Do I need to replace my existing tools?
No. Your stack stays if you want to. But if you want our system can be only stack that is needed - depends on you. AppDNA connects on top of your existing analytics, attribution, and monetization tools — or runs via a lightweight SDK where execution is required. No migrations. No rebuilds.
How much engineering work is required?
Very little. Initial SDK integration takes few lines of code. After that, most changes ship via remote config and feature flags — no app store resubmissions. Engineering stays focused on product, not experiments.
Is AppDNA fully autonomous?
Yes — if you want it to be. And no — if you don’t. AppDNA supports two execution modes, depending on how much control you want. 1. Assisted Mode (Human-in-the-Loop) Strategy stays human. Execution becomes automatic. Every proposed change flows through a single Approval Inbox, where you can: - Approve - Edit - Schedule - Reject Nothing ships without your sign-off. This mode is ideal for: - New customers - Enterprise teams - High-risk changes - Teams that want visibility before automation 2. Auto-Optimize Mode (Guardrail-Driven Autonomy) Once guardrails are defined, AppDNA can execute automatically. The system ships improvements on its own — within pre-approved limits, such as: - Traffic caps - KPI thresholds - Rollout speed - Risk level - Rollback rules If guardrails are violated, execution pauses automatically. This mode is ideal for: - Mature apps - Proven playbooks - High-velocity experimentation - Teams optimizing at scale You can switch anytime Most teams start with Assisted Mode and move to Auto-Optimize as confidence grows. Same system. Same safety. Different control level.
What parts of the app funnel does AppDNA cover?
AppDNA runs the entire growth funnel as one system, including: - Onboarding - Monetization / Paywalls - Retention & lifecycle - ASO - Paid UA & Performance Marketing - Organic social - Feedback loop - Web2App - ICP/USP No isolated optimizations. One connected system.
Who is AppDNA AI best for?
AppDNA is built for: - Subscription mobile apps - Teams growing in-house (not outsourcing everything) - Founders, Heads of Growth, Product Leaders, App Marketers - Apps from early revenue to scaled If execution speed is your bottleneck, AppDNA fits.
Can you help us define our growth strategy?
Yes. We offer an optional Strategy & Setup phase where we work with you to: - Define your growth priorities - Map your full funnel - Configure guardrails - Set success metrics - Prepare the system for autonomous execution After setup, the system runs continuously.
How quickly can we see results?
Most teams see first improvements within days after setup is done, not weeks. Because execution doesn’t wait for: - Sprints - Releases - Backlogs - Agency cycles Learning compounds weekly.
Does AppDNA replace agencies?
For execution — yes. For creative — no. AppDNA replaces manual experimentation, slow rollouts, and repetitive agency execution by automating growth changes via SDK and feature flags. Creative strategy and brand work can stay with your in-house team, agency, or freelancers. If needed, AppDNA offers an optional creative add-on.
Frequently Asked Questions
got specific questions?
What is AppDNA AI?
AppDNA AI is an App Growth Console for subscription mobile apps. It connects your existing tools (analytics, attribution, monetization) or a lightweight SDK, detects growth leaks across the full funnel, and executes approved improvements automatically — without app releases. Think of it as the execution layer your app stack is missing.
How is AppDNA AI different from analytics tools?
Analytics tools tell you what happened. AppDNA tells you what to change — and ships it. Instead of dashboards and reports, AppDNA proposes concrete improvements (onboarding, paywalls, retention, ASO), routes them through an approval inbox, and deploys them safely via SDK and feature flags. Execution, not analysis.
Do I need to replace my existing tools?
No. Your stack stays if you want to. But if you want our system can be only stack that is needed - depends on you. AppDNA connects on top of your existing analytics, attribution, and monetization tools — or runs via a lightweight SDK where execution is required. No migrations. No rebuilds.
How much engineering work is required?
Very little. Initial SDK integration takes few lines of code. After that, most changes ship via remote config and feature flags — no app store resubmissions. Engineering stays focused on product, not experiments.
Is AppDNA fully autonomous?
Yes — if you want it to be. And no — if you don’t. AppDNA supports two execution modes, depending on how much control you want. 1. Assisted Mode (Human-in-the-Loop) Strategy stays human. Execution becomes automatic. Every proposed change flows through a single Approval Inbox, where you can: - Approve - Edit - Schedule - Reject Nothing ships without your sign-off. This mode is ideal for: - New customers - Enterprise teams - High-risk changes - Teams that want visibility before automation 2. Auto-Optimize Mode (Guardrail-Driven Autonomy) Once guardrails are defined, AppDNA can execute automatically. The system ships improvements on its own — within pre-approved limits, such as: - Traffic caps - KPI thresholds - Rollout speed - Risk level - Rollback rules If guardrails are violated, execution pauses automatically. This mode is ideal for: - Mature apps - Proven playbooks - High-velocity experimentation - Teams optimizing at scale You can switch anytime Most teams start with Assisted Mode and move to Auto-Optimize as confidence grows. Same system. Same safety. Different control level.
What parts of the app funnel does AppDNA cover?
AppDNA runs the entire growth funnel as one system, including: - Onboarding - Monetization / Paywalls - Retention & lifecycle - ASO - Paid UA & Performance Marketing - Organic social - Feedback loop - Web2App - ICP/USP No isolated optimizations. One connected system.
Who is AppDNA AI best for?
AppDNA is built for: - Subscription mobile apps - Teams growing in-house (not outsourcing everything) - Founders, Heads of Growth, Product Leaders, App Marketers - Apps from early revenue to scaled If execution speed is your bottleneck, AppDNA fits.
Can you help us define our growth strategy?
Yes. We offer an optional Strategy & Setup phase where we work with you to: - Define your growth priorities - Map your full funnel - Configure guardrails - Set success metrics - Prepare the system for autonomous execution After setup, the system runs continuously.
How quickly can we see results?
Most teams see first improvements within days after setup is done, not weeks. Because execution doesn’t wait for: - Sprints - Releases - Backlogs - Agency cycles Learning compounds weekly.
Does AppDNA replace agencies?
For execution — yes. For creative — no. AppDNA replaces manual experimentation, slow rollouts, and repetitive agency execution by automating growth changes via SDK and feature flags. Creative strategy and brand work can stay with your in-house team, agency, or freelancers. If needed, AppDNA offers an optional creative add-on.
Frequently Asked Questions
got specific questions?
What is AppDNA AI?
AppDNA AI is an App Growth Console for subscription mobile apps. It connects your existing tools (analytics, attribution, monetization) or a lightweight SDK, detects growth leaks across the full funnel, and executes approved improvements automatically — without app releases. Think of it as the execution layer your app stack is missing.
How is AppDNA AI different from analytics tools?
Analytics tools tell you what happened. AppDNA tells you what to change — and ships it. Instead of dashboards and reports, AppDNA proposes concrete improvements (onboarding, paywalls, retention, ASO), routes them through an approval inbox, and deploys them safely via SDK and feature flags. Execution, not analysis.
Do I need to replace my existing tools?
No. Your stack stays if you want to. But if you want our system can be only stack that is needed - depends on you. AppDNA connects on top of your existing analytics, attribution, and monetization tools — or runs via a lightweight SDK where execution is required. No migrations. No rebuilds.
How much engineering work is required?
Very little. Initial SDK integration takes few lines of code. After that, most changes ship via remote config and feature flags — no app store resubmissions. Engineering stays focused on product, not experiments.
Is AppDNA fully autonomous?
Yes — if you want it to be. And no — if you don’t. AppDNA supports two execution modes, depending on how much control you want. 1. Assisted Mode (Human-in-the-Loop) Strategy stays human. Execution becomes automatic. Every proposed change flows through a single Approval Inbox, where you can: - Approve - Edit - Schedule - Reject Nothing ships without your sign-off. This mode is ideal for: - New customers - Enterprise teams - High-risk changes - Teams that want visibility before automation 2. Auto-Optimize Mode (Guardrail-Driven Autonomy) Once guardrails are defined, AppDNA can execute automatically. The system ships improvements on its own — within pre-approved limits, such as: - Traffic caps - KPI thresholds - Rollout speed - Risk level - Rollback rules If guardrails are violated, execution pauses automatically. This mode is ideal for: - Mature apps - Proven playbooks - High-velocity experimentation - Teams optimizing at scale You can switch anytime Most teams start with Assisted Mode and move to Auto-Optimize as confidence grows. Same system. Same safety. Different control level.
What parts of the app funnel does AppDNA cover?
AppDNA runs the entire growth funnel as one system, including: - Onboarding - Monetization / Paywalls - Retention & lifecycle - ASO - Paid UA & Performance Marketing - Organic social - Feedback loop - Web2App - ICP/USP No isolated optimizations. One connected system.
Who is AppDNA AI best for?
AppDNA is built for: - Subscription mobile apps - Teams growing in-house (not outsourcing everything) - Founders, Heads of Growth, Product Leaders, App Marketers - Apps from early revenue to scaled If execution speed is your bottleneck, AppDNA fits.
Can you help us define our growth strategy?
Yes. We offer an optional Strategy & Setup phase where we work with you to: - Define your growth priorities - Map your full funnel - Configure guardrails - Set success metrics - Prepare the system for autonomous execution After setup, the system runs continuously.
How quickly can we see results?
Most teams see first improvements within days after setup is done, not weeks. Because execution doesn’t wait for: - Sprints - Releases - Backlogs - Agency cycles Learning compounds weekly.
Does AppDNA replace agencies?
For execution — yes. For creative — no. AppDNA replaces manual experimentation, slow rollouts, and repetitive agency execution by automating growth changes via SDK and feature flags. Creative strategy and brand work can stay with your in-house team, agency, or freelancers. If needed, AppDNA offers an optional creative add-on.

App Growth
15+ Essential App Marketing Tools to Scale Your Mobile App in 2026
This comprehensive guide explores the essential tools that top mobile apps use to achieve sustainable growth in 2026's competitive landscape. We break down six critical categories of app growth tools—user acquisition, analytics, ASO, engagement, monetization, and automation—providing curated recommendations for each. You'll discover how AI-powered solutions like AppDNA.ai are transforming app marketing by automating workflows and implementing proven tactics. Learn how to build an effective growth tech stack based on your app's stage and business model, measure the true ROI of your tools, and stay ahead of emerging trends.

App Growth
15+ Essential App Marketing Tools to Scale Your Mobile App in 2026
This comprehensive guide explores the essential tools that top mobile apps use to achieve sustainable growth in 2026's competitive landscape. We break down six critical categories of app growth tools—user acquisition, analytics, ASO, engagement, monetization, and automation—providing curated recommendations for each. You'll discover how AI-powered solutions like AppDNA.ai are transforming app marketing by automating workflows and implementing proven tactics. Learn how to build an effective growth tech stack based on your app's stage and business model, measure the true ROI of your tools, and stay ahead of emerging trends.

App Growth
15+ Essential App Marketing Tools to Scale Your Mobile App in 2026
This comprehensive guide explores the essential tools that top mobile apps use to achieve sustainable growth in 2026's competitive landscape. We break down six critical categories of app growth tools—user acquisition, analytics, ASO, engagement, monetization, and automation—providing curated recommendations for each. You'll discover how AI-powered solutions like AppDNA.ai are transforming app marketing by automating workflows and implementing proven tactics. Learn how to build an effective growth tech stack based on your app's stage and business model, measure the true ROI of your tools, and stay ahead of emerging trends.

App Growth
10 Best AI Tools to Grow Mobile Apps (and How to Combine Them Into One System)
Most growth teams operate with a fragmented tech stack. They have Firebase for analytics, RevenueCat for payments, Braze for messaging, and several creative tools. Each tool provides critical insight, but no single tool provides the execution layer. This fragmentation leads to the "Execution Gap" the costly delay between identifying a problem and deploying a fix. For modern subscription apps, the future belongs not to those with the most data, but to those with the fastest Action Loop. This post outlines the 9 essential AI tools used today and introduces the 10th tool: the App Growth OS the unification layer required to turn isolated insights into automated, compounding growth.

App Growth
10 Best AI Tools to Grow Mobile Apps (and How to Combine Them Into One System)
Most growth teams operate with a fragmented tech stack. They have Firebase for analytics, RevenueCat for payments, Braze for messaging, and several creative tools. Each tool provides critical insight, but no single tool provides the execution layer. This fragmentation leads to the "Execution Gap" the costly delay between identifying a problem and deploying a fix. For modern subscription apps, the future belongs not to those with the most data, but to those with the fastest Action Loop. This post outlines the 9 essential AI tools used today and introduces the 10th tool: the App Growth OS the unification layer required to turn isolated insights into automated, compounding growth.

App Growth
10 Best AI Tools to Grow Mobile Apps (and How to Combine Them Into One System)
Most growth teams operate with a fragmented tech stack. They have Firebase for analytics, RevenueCat for payments, Braze for messaging, and several creative tools. Each tool provides critical insight, but no single tool provides the execution layer. This fragmentation leads to the "Execution Gap" the costly delay between identifying a problem and deploying a fix. For modern subscription apps, the future belongs not to those with the most data, but to those with the fastest Action Loop. This post outlines the 9 essential AI tools used today and introduces the 10th tool: the App Growth OS the unification layer required to turn isolated insights into automated, compounding growth.

App Growth
App Growth Console: Why AI Agents Are Replacing Agencies?
Stop the "Slide Deck Problem." Learn how an App Growth OS automates execution, reduces the Cost of Delay, and ships safe improvements via SDK every week.

App Growth
App Growth Console: Why AI Agents Are Replacing Agencies?
Stop the "Slide Deck Problem." Learn how an App Growth OS automates execution, reduces the Cost of Delay, and ships safe improvements via SDK every week.

App Growth
App Growth Console: Why AI Agents Are Replacing Agencies?
Stop the "Slide Deck Problem." Learn how an App Growth OS automates execution, reduces the Cost of Delay, and ships safe improvements via SDK every week.

Self-optimizing mobile apps while you sleep


Self-optimizing mobile apps while you sleep


Self-optimizing mobile apps while you sleep


