The Mobile User Acquisition Show

Shamanth Rao

Welcome to the Mobile User Acquisition Show, in which we talk about how to use mobile user acquisition strategies to grow your app quickly and capital-efficiently. Each episode includes strategies, tips and pointers from the leading edge of mobile user acquisition that can help you unlock tremendous growth for your app.The Mobile User Acquisition Show is produced by the team at RocketShip HQ. With 8 figure UA spends managed and over 10,000 ads produced, we deliver profitable growth for breakthrough B2C apps & help them navigate the brave new world of privacy-first, post-identifier marketing. See also: our live workshop series on marketing in a post-identifier world: https://mobilegrowthlab.com/

  1. 10h ago

    Three numbers decide whether AI sends users to your app. Simon Thillay on the one most teams aren't tracking yet.

    How does an ASO specialist with 10+ years of experience think about AI visibility in 2026? In this episode of Intelligent Artifice, Simon Thillay from AppTweak shares what the data actually shows about how AI tools like ChatGPT are discovering and recommending apps today. ChatGPT owns the platform. Grammarly is outranking it inside its own answers. Simon knows exactly why. This conversation covers what is actually changing in app store optimization, how AI visibility works differently from traditional ASO, and why the gap between apps that show up in AI-generated answers and those that don't is already opening up. AppTweak's research found that the most cited domain in ChatGPT answers for app-related queries is the App Store itself. Simon's team tested the same intent across ten different phrasings and found Grammarly consistently outranking ChatGPT for business writing app recommendations inside ChatGPT. The difference was not product quality. It was how Grammarly positioned itself for specific user contexts across its app store presence. Simon also points to one specific part of the App Store listing that most ASO teams have never touched, and explains why it is now one of the strongest levers for AI visibility in 2026. Video Chapters: 00:00 – Introduction & Podcast Technical Mishaps 00:46 – How AI is Changing App Store Visibility 01:42 – Pre-searching Apps via LLMs (ChatGPT Traffic) 02:14 – The Role of App Store Optimization (ASO) in AI Answers 02:40 – Optimizing Long Descriptions for AI Search 03:19 – Writing for Humans vs. Writing for AI (User Personas) 04:08 – Structuring Content & Entity-Based Writing for AI 05:07 – Answer Engine Optimization (AEO) & The Open Web Ecosystem 06:26 – How to Audit Your App's AI Visibility (Intent vs. Prompts) 07:11 – Case Study: Grammarly Outperforming ChatGPT on Niche Intents 07:54 – Measuring AEO Impact: Coverage, Rank, and Sentiment 09:02 – Where to Find Simon Thillay Topics covered: App Store optimization and AI visibility in 2026How ChatGPT and LLMs discover and recommend appsAEO strategy for mobile appsEntity-based writing for app store listingsMeasuring AI visibility across coverage, rank, and sentimentAppTweak research on AI-driven app discoveryLearn more: https://mobileuseracquisitionshow.com/episode/slug- Episode page https://www.linkedin.com/in/simon-thillay-58b95997/- Connect with Simon on LinkedIn

    24 min
  2. 6d ago

    He led growth at Twitch and Discord. Now he runs solo on Claude: with Justin Gerrard

    How does a growth operator who built and managed large teams at Twitch and Discord work today as a solo fractional CMO? In this episode of Intelligent Artifice, Shamanth Rao sits down with Justin Gerrard, fractional CMO and former growth lead at Twitch and Discord, to talk about how he uses Claude day to day to plan his week, build GTM plans, and deliver work for multiple startups at once. Justin shares where AI genuinely saves time, where human judgment is still the difference maker, and why letting AI run on autopilot is a trap most teams fall into. If you work in growth, GTM, or performance marketing, this is a practical and honest look at what working with AI actually looks like in 2026. Chapters: 00:00 Intro: Justin's background at Twitch and Discord 01:21 Building performance marketing at Twitch 03:22 AI Speed: Weeks of work vs. a few hours 05:54 AI as an Operating System 06:33 Justin's Monday Morning AI routine 08:05 The 60/70 Rule for AI productivity 09:12 Why 100% AI work is a hiring red flag 10:11 Case Study: A localized GTM plan 14:52 Creative Strategy: Automated UGC at scale 16:30 The Trap of Autonomy in AI content 18:13 Brand Safety: The 18 Curses story 19:15 The Librarian vs. The Author 21:35 Human Creators vs. AI Avatars A/B Test 24:55 Where to find Justin online Key things we cover in this episode: ✅ How Justin structures his Monday morning using Claude Desktop and MCP connectors ✅ Why he caps AI contribution at 60 to 70% on every GTM plan ✅ Why AI is a fast librarian but not an author ✅ How he A/B tested AI creators vs human creators in a paid ad campaign and what the results showed ✅ Why fully automating content output does not drive real results ✅ What experienced operators still bring to the table that AI cannot replicate

    28 min
  3. May 11

    After shipping 30+ apps in 18 years, he went vibe coding solo with AI: with David Barnard

    In this episode, I'm joined by David Barnard — indie app developer, RevenueCat Developer Advocate, and host of the Sub Club podcast — to talk about what happens when someone with 18 years of App Store experience picks up vibe coding for the first time. David has launched 30+ apps, sold four, and seen every major shift in the App Store since day one. Now he's building a new app entirely on his own — no contractors, no coding partners — just Claude Code, Codex, and decades of product intuition. This conversation goes deep on what's actually changed, what still requires human judgment, and why distribution matters more than ever in a world where anyone can ship an app. What we cover in this episode: - Why vibe coding finally clicked for David — and what changed in the last 12–18 months - How 18 years of App Store experience shapes what you can build with AI - Claude Code vs. Codex — how David uses both and plays them off each other - Why product intuition is still the hardest thing to replicate with AI - The real cost of building an app in 2025 vs. 2020 - Why distribution is the new moat — and how David is thinking about it - RevenueCat's Rico: talking to your business, not just your data - Why "if you build it, they will come" has never been true on the App Store Whether you're an indie developer, founder, or operator, this episode will reshape how you think about building and shipping in the AI era. Content Update: Rico is no longer just in beta! You can now access these insights directly in your RevenueCat dashboard. Learn more: — Podcast hub 🌐   https://mobileuseracquisitionshow.com/ — Podcast hub 🌐 revenuecat.com — Subscription infrastructure for mobile apps 🎙️ https://www.youtube.com/@SubClubHQ - App business insights from the people building them

    50 min
  4. Apr 30

    🚀 He built a system to scale to 4,000 AI video ads/month: with Patrick Stuart-Constant 🤖📈

    🚀 In this episode, I’m joined by Patrick Stuart-Constant, who has been building AI-driven creative systems long before it became mainstream. Patrick breaks down how his team scaled from producing hundreds to thousands of ads per month using generative AI — and why more AI actually required more humans, not fewer. He explains why “AI slop” isn’t an AI problem but a creativity problem, how to balance automation with human taste, and why the future of marketing belongs to teams that can combine velocity with originality. If you're running paid acquisition, building creative systems, or thinking about scaling with AI, this episode is packed with practical insights and hard-earned lessons. 🎙️ What we cover in this episode: ✅ Why early adoption of generative AI created a compounding advantage ✅ The real reason most AI ads fail (and why it’s not the AI) ✅ How to scale from 4,000 → 10,000+ ads per month ✅ Why adding AI increased the need for human creativity ✅ How “unicorn ads” actually emerge from experimentation ✅ Using Bayesian models to find signal in creative testing ✅ AI agents for pre-ranking ads before spending budget ✅ Why creative velocity is the new moat in paid acquisition Whether you're a founder, growth leader, or creative strategist - this conversation will change how you think about scaling ads in the AI era. 🔗 Learn more: 🌐 rocketshiphq.com - Growth systems for high-spend advertisers 🌐 http://MobileUserAcquisitionShow.com - feat. all things mobile user acquisition

    38 min
5
out of 5
38 Ratings

About

Welcome to the Mobile User Acquisition Show, in which we talk about how to use mobile user acquisition strategies to grow your app quickly and capital-efficiently. Each episode includes strategies, tips and pointers from the leading edge of mobile user acquisition that can help you unlock tremendous growth for your app.The Mobile User Acquisition Show is produced by the team at RocketShip HQ. With 8 figure UA spends managed and over 10,000 ads produced, we deliver profitable growth for breakthrough B2C apps & help them navigate the brave new world of privacy-first, post-identifier marketing. See also: our live workshop series on marketing in a post-identifier world: https://mobilegrowthlab.com/

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