Intelligent Artifice, formerly the Mobile User Acquisition Show

When I interviewed Steve P. Young in 2019 the topic was getting featured by Apple. Today he runs App Masters, an agency that started in app store optimization, and his focus is paywalls, onboarding and monetization, both for clients and for a growing portfolio of apps he buys and operates himself. This conversation covers what changed, and the numbers behind it.

Video Chapters:

00:00 Introduction
03:01 Why an ASO expert moved to paywalls and monetization
06:40 The tentacle strategy: building an app around a keyword a giant can't own
09:55 How a $2.99 app became an $8,000 to $10,000 a month app
11:35 What to build when anyone can build an app with AI
14:50 Viral formats vs viral content: the before and after feature
18:35 How to buy an app and how it gets financed
22:37 The real numbers: profit by month and why distribution matters
25:11 The hard paywall test that proved Steve wrong
28:11 Running an agency and his own apps: the team and giving back
30:50 Spending on his own apps vs client budgets
32:26 Wrap-up and where to find App Masters

Topics covered:

Why an app store optimization expert moved to paywalls, onboarding and monetization
- The tentacle strategy: finding the keyword a giant like Calm can't own
- How a $2.99 one-time app became an $8,000 to $10,000 a month app with no additional downloads
- How he financed an app purchase and what the monthly numbers looked like
- The hard paywall test: 13% vs 6% trial activation, 35% trial-to-paid both ways
- Why health and fitness has the highest revenue per install

Learn more:

Episode page: https://mobileuseracquisitionshow.com/episode/from-aso-to-paywall-optimization-mastering-app-monetization-with-steve-p-young/
App Masters: https://appmasters.com/
Steve on LinkedIn: https://www.linkedin.com/in/stevepyoung/
Newsletter: https://intelligentartifice.kit.com

Most creative strategists treat audience research as a box to check before the real work starts.

Karina Tukanova, freelance creative strategy consultant, treats it as the actual work.

Karina is a freelance creative strategy consultant working with health, wellness, fitness, and lifestyle apps. She made the jump from performance marketing manager to creative strategist right around the iOS 14 shift, back when creative strategist wasn't even a defined role.

In this episode, Karina breaks down how she found an entirely untapped audience for a stretching app by scrolling TikTok, Instagram, and Reddit instead of running customer interviews, why the comments section is the most underrated research source most teams ignore, how she uses AI as a second brain to store and surface insights, and how AI uncovered a hidden script formula running across hundreds of UGC ads that would have taken forever to spot by hand.

We also get into why she thinks Meta's push for constant net-new creative volume (the Andromeda era) isn't sustainable on a human level, why handing 100% of ad production to AI just produces slop, and where she thinks AI genuinely earns its place in a creative workflow versus where a human still has to sit in the loop.

Timestamps:
00:00 Intro
02:27 The iOS 14 shift and the rise of creative strategy as a role
04:12 The stretching app that found a new audience in older users
07:21 How to surface real audience insights without endless customer calls
08:39 Why ad and organic comments are an underrated research goldmine
09:39 Using AI as a second brain to store and surface creative insights
10:44 How AI spotted a hidden script formula across hundreds of UGC ads
13:22 What makes UA and creative teams work well together
16:17 Deciding what's worth making before you spend anything
18:34 The Andromeda craze and the myth of 100 new concepts a week
20:19 Fighting Meta's sameness penalty with visual variety
22:18 Where AI should and shouldn't touch ad production
24:31 Advice for bridging the UA/creative skills gap
26:44 Closing: how to find and work with Karina

Connect with Karina on LinkedIn: https://www.linkedin.com/in/karinatukanova/

About RocketShipHQ:
Newsletter: https://intelligentartifice.kit.com
rocketshiphq.com
Full episode and transcript on the Mobile User Acquisition Show:
https://mobileuseracquisitionshow.com/episode/how-to-win-with-deep-customer-research-for-mobile-ad-creative-strategy-user-acquisition-without-focus-groups-or-calls-with-karina-tukanova-freelance-creative-strategy-consultant/

Most telehealth founders think AI's job is to write the ad copy faster.

Vivek Girotra doesn't. He used it to figure out what his company actually stands for before he wrote a single line.

Vivek is the co-founder of SurpassMD, a metabolic health telehealth company that launched with GLP-1 medications and plans to expand into HRT, TRT, longevity treatments, and peptides. Before founding SurpassMD, he spent over a decade leading marketing teams on the agency and client side.

The compound is the same for everyone. What isn't the same is the brand, the trust, and the full experience wrapped around it. That is where Vivek thinks AI actually earns its keep.

In this episode, Vivek breaks down how he used AI to interview himself into a brand mission, how he coded platform, clinical, and operational compliance directly into his AI workflow, why his first batch of social creatives took 15 rounds of revision, and why a nurse's unscripted hospital video beat anything his team generated with AI.

If you are building an AI-native company inside a regulated industry, or trying to figure out where AI should and shouldn't touch your brand, this episode is the most practical breakdown available.

Vivek is offering Intelligent Artifice listeners 20% off their first SurpassMD subscription (any duration, US only). Use code ROCKETSHIP at checkout.

Episode page
rocketshiphq.com
Newsletter
Full episode and transcript on the Mobile User Acquisition Show:
https://mobileuseracquisitionshow.com/episode/he-left-the-cmo-track-to-build-an-ai-native-health-brand-with-vivek-girotrafounder-ceo-surpass-md/

Noom's onboarding funnel runs 120 to 140 screens. Some 3-screen funnels convert above 10%. "The length does not matter. Bigger is not always better," as Jacob Rushfinn put it. Part 2 of the FunnelFox panel gets tactical on how web-to-app funnels actually get built.

Part 2 of the FunnelFox webinar panel, with Rocketship HQ as partner. Shamanth Rao moderates Jacob Rushfinn (CEO, Botsi), Andrey Shakhtin (CEO, FunnelFox), Patrick Stuart-Constant (CEO, Sociaaal), Mike Gadd (VP Customer Success, Singular), and Elise Zareie (Head of Paid Social, Lingokids). If Part 1 was about the shift, Part 2 is about the mechanics.

Elise Zareie on why longer funnels convert better in weight-loss and health but fail on kids apps, where a parent just wants to hand the phone over. Andrey Shakhtin on Noom's 120 to 140 screen funnel as the industry ceiling. Mike Gadd on why your MMP, your ad network, and Google Analytics will never agree, and why that is fine once you pick a source of truth. Jacob Rushfinn on cohort-quality guardrails: ROAS alone gets gamed, so you need activation rate, D1, D7, and trial-cancel rates on the same chart. Patrick Stuart-Constant on a Liquid Death-inspired ad that mocked confused users and ran profitably for months.

Video Chapters:
00:00 Recap of Part 1
00:45 Jacob: start with 10 to 15 screens, not 100
02:00 Elise on why funnel length is vertical-specific
04:00 Andrey on Noom's 120 to 140 screen funnel
07:00 Platform hell: MMP, ad networks, and Google Analytics
09:30 Mike on picking a source of truth, using SKAN as a check
11:00 Andrey on optimizing for ROAS over conversion rate
11:45 Down-funnel accountability for UA teams
12:30 Jacob on cohort-quality guardrails (activation, D1, D7)
14:20 Mike on tying campaign data to attribution and events
15:30 Elise on creative-quality health checks
17:00 Quick-fire: paywall and pricing wins
18:30 Quick-fire: standout creative wins
20:00 Closing advice from all 5 panelists

Topics covered:
- Funnel length: when longer converts better, when it kills conversion
- Platform hell: MMP as source of truth, SKAN as check
- ROAS over conversion rate as the campaign KPI
- Down-funnel accountability and cohort quality guardrails
- Creative wins from social listening and negative comments
- Paywall wins: intro offers, multi-page paywalls, paid trials

Learn more:
- Original webinar recording: https://www.youtube.com/watch?v=OYPDZlwLhNA
- FunnelFox (webinar host): https://funnelfox.com
- Rocketship HQ (partner): https://rocketshiphq.com
- Jacob Rushfinn (Botsi): https://www.linkedin.com/in/jacob-rushfinn/
- Andrey Shakhtin (FunnelFox): https://www.linkedin.com/in/andrey-shakhtin/
- Patrick Stuart-Constant (Sociaaal): https://www.linkedin.com/in/patrick-stuart-constant/
- Mike Gadd (Singular): https://www.linkedin.com/in/mike-gadd-27a16427/
- Elise Zareie (Lingokids): https://www.linkedin.com/in/elise-zareie/
- Shamanth Rao (Rocketship HQ): https://www.linkedin.com/in/shamanthrao/

82% of top-grossing apps now take payment outside the app store. Patrick Stuart-Constant's team at Sociaaal ships 4,000 video ads a month, scaling to 10,000. The shift to web-to-app monetization isn't coming. It already happened.

Part 1 of a two-part panel from a FunnelFox webinar, with Rocketship HQ as partner. Shamanth Rao moderated the conversation with Jacob Rushfinn (CEO, Botsi), Andrey Shakhtin (CEO, FunnelFox), Patrick Stuart-Constant (CEO, Sociaaal), Mike Gadd (VP Customer Success, Singular), and Elise Zareie (Head of Paid Social, Lingokids) on how paid acquisition teams design the path after the click.

Andrey Shakhtin on why off-store attribution beats SKAN on speed, and how 2-5% payment fees unlock room to iterate. Patrick Stuart-Constant on scaling ad volume as a search space problem, and why cheaper AI creative grew his team instead of shrinking it (Jevons paradox). Elise Zareie on why web funnels only work with dedicated ownership inside the UA team. Mike Gadd on why the first renewal is the metric most teams miss. Jacob Rushfinn on the $1M revenue threshold before web funnels pay off, and the 10K to 20K monthly loss to budget for the learning phase.

Video Chapters:
00:00 Introductions and format
02:40 The one shift teams have not priced in
07:50 Andrey on the 82% off-store payments finding
09:52 Mike on measurement across web and app, platform hell
11:45 Elise on creative: lift-and-shift vs TikTok-native
15:54 Patrick on the search space, 4K to 10K ads a month
18:07 Jevons paradox: cheaper ads, bigger creative team
19:30 Elise on where AI helps and where taste is still human
21:39 What separates web-funnel winners from teams that quit
25:27 Andrey on iteration pace correlating with revenue
27:00 Who should not try web funnels: payments complexity
28:42 Jacob on the $1M threshold and the learning-phase budget
29:36 Common learning phase mistakes and how to short-circuit them
32:00 Part 2 drops next week

Topics covered:
- The shift to web-to-app monetization and off-store payments
- AI creative production at scale, 4,000 to 10,000 ads a month
- Web funnels: dedicated ownership vs side project
- The $1M revenue threshold for going off-store
- Learning phase mistakes on acquisition, funnel, and paywall
- Measurement complexity across web and app

Learn more:
- Original webinar recording: https://www.youtube.com/watch?v=OYPDZlwLhNA
- FunnelFox (webinar host): https://funnelfox.com
- Rocketship HQ (partner): https://rocketshiphq.com
- Jacob Rushfinn (Botsi): https://www.linkedin.com/in/jacob-rushfinn/
- Andrey Shakhtin (FunnelFox): https://www.linkedin.com/in/andrey-shakhtin/
- Patrick Stuart-Constant (Sociaaal): https://www.linkedin.com/in/patrick-stuart-constant/
- Mike Gadd (Singular): https://www.linkedin.com/in/mike-gadd-27a16427/
- Elise Zareie (Lingokids): https://www.linkedin.com/in/elise-zareie/
- Shamanth Rao (Rocketship HQ): https://www.linkedin.com/in/shamanthrao/

Most mobile UA teams think the algorithm is something you set and surrender to.

Itai Kafri doesn't. He engineers the signal.

Itai leads product growth at Voyantis, a predictive LTV and signal engineering platform for mobile apps. He has been in mobile user acquisition since before Meta introduced oCPM, back when advertisers controlled every bid manually. Since then, he has spent years figuring out what actually replaced that control.

The answer is not the model. It is the signal strategy built on top of it.

In this episode, Itai breaks down signal engineering for mobile UA: how to send predictive LTV signals to automated channels like Meta Advantage Plus, Google UAC, and TikTok in a way that actually moves performance. Why timing matters more than accuracy. Why the channel needs rank, not dollar precision. And the three questions every growth team should answer before investing in a predictive LTV media strategy at all.

If you run paid user acquisition for a mobile app and you are thinking about PLTV, value-based bidding, or tROAS optimization, this episode is the most practical breakdown of signal engineering available.

Video Chapters:  

00:00 Introduction
00:36 Pre-2014 vs post-2014: how automation changed acquisition
02:42 The seven-day conversion window ceiling
04:11 Why marketers and CFOs define a "good user" differently
07:00 Predictions, confidence, and the timing tradeoff
11:11 What actually feeds a prediction: the marathon analogy
16:26 Why proxies like "level 5" break down
17:42 How much data you need to build a model
20:15 Value-based bidding and the accuracy misconception
23:12 Managing outliers without breaking the strategy
25:11 Real client story: Google Search Partners going haywire
28:11 Whales vs outliers, and why hyper-whales backfire
32:03 Signal engineering vs RTB
34:05 User-level data, privacy, and reading the user mix back
38:57 How Black Friday and seasonality hit signaling
40:48 Why casual gaming is tricky for PLTV
41:16 Three questions to ask before investing in a prediction model
45:32 Where to find Itai and Voyantis

Topics covered:

- Signal engineering for mobile user acquisition
- Predictive LTV and value-based bidding on Meta, Google, and TikTok
- Confidence thresholds, latency trade-offs, and signal timing
- How automated channels use signals: Advantage Plus, UAC, PMax
- When D7 ROAS is already your best signal and PLTV will not move the needle

Learn more:

Episode Page : https://mobileuseracquisitionshow.com/episode/how-to-win-with-signal-engineering-itai-kafri/

Connect with Itai on LinkedIn - https://www.linkedin.com/in/ekafri/

Voyantis gap analysis - https://www.voyantis.ai/signal-engineering-gap-analysis

82% of top-grossing apps now take payment outside the app store. Patrick Stuart-Constant's team at Sociaaal ships 4,000 video ads a month, scaling to 10,000. The shift to web-to-app monetization isn't coming. It already happened.

Part 1 of a two-part panel from a Funnelfox webinar, with Rocketship HQ as partner. Shamanth Rao moderated the conversation with Jacob Rushfinn (CEO, Botsi), Andrey Shakhtin (CEO, FunnelFox), Patrick Stuart-Constant (CEO, Sociaaal), Mike Gadd (VP Customer Success, Singular), and Elise Zareie (Head of Paid Social, Lingokids) on how paid acquisition teams design the path after the click.

Andrey Shakhtin on why off-store attribution beats SKAN on speed, and how 2-5% payment fees unlock room to iterate. Patrick Stuart-Constant on scaling ad volume as a search space problem, and why cheaper AI creative grew his team instead of shrinking it (Jevons paradox). Elise Zareie on why web funnels only work with dedicated ownership inside the UA team. Mike Gadd on why the first renewal is the metric most teams miss. Jacob Rushfinn on the $1M revenue threshold before web funnels pay off, and the 10K to 20K monthly loss to budget for the learning phase.

Video Chapters:
00:00 Introductions and format
02:40 The one shift teams have not priced in
07:50 Andrey on the 82% off-store payments finding
09:52 Mike on measurement across web and app, platform hell
11:45 Elise on creative: lift-and-shift vs TikTok-native
15:54 Patrick on the search space, 4K to 10K ads a month
18:07 Jevons paradox: cheaper ads, bigger creative team
19:30 Elise on where AI helps and where taste is still human
21:39 What separates web-funnel winners from teams that quit
25:27 Andrey on iteration pace correlating with revenue
27:00 Who should not try web funnels: payments complexity
28:42 Jacob on the $1M threshold and the learning-phase budget
29:36 Common learning phase mistakes and how to short-circuit them
32:00 Part 2 drops next week

Topics covered:
- The shift to web-to-app monetization and off-store payments
- AI creative production at scale, 4,000 to 10,000 ads a month
- Web funnels: dedicated ownership vs side project
- The $1M revenue threshold for going off-store
- Learning phase mistakes on acquisition, funnel, and paywall
- Measurement complexity across web and app

Learn more:
- Original webinar recording: https://www.youtube.com/watch?v=OYPDZlwLhNA
- FunnelFox (webinar host): https://funnelfox.com
- Rocketship HQ (partner): https://rocketshiphq.com
- Jacob Rushfinn (Botsi): https://www.linkedin.com/in/jacob-rushfinn/
- Andrey Shakhtin (FunnelFox): https://www.linkedin.com/in/andrey-shakhtin/
- Patrick Stuart-Constant (Sociaaal): https://www.linkedin.com/in/patrick-stuart-constant/
- Mike Gadd (Singular): https://www.linkedin.com/in/mike-gadd-27a16427/
- Elise Zareie (Lingokids): https://www.linkedin.com/in/elise-zareie/
- Shamanth Rao (Rocketship HQ): https://www.linkedin.com/in/shamanthrao/

How Ankit Nayal scaled organic TikTok to 50 million views with an AI content factory, and why half of them were wasted until conversion came first.

Most founders who burn through their paid ad budget pivot to organic with one or two accounts and hope something works.

Ankit Nayal pivoted to organic and went to 150 to 200 TikToks a day.

He runs this for his app Flamme. He has crossed 50 million views. He told me more than half of those views were wasted, because conversion was not in his framework yet. The episode is about what he built once that became obvious.

The path there started in a cave. After losing his ad budget in 2025, Ankit scrolled TikTok for four hours a day for two months. He compared it to having McDonald's every meal. Out of that came the VSC framework. Viral: an under-5,000-follower account with a 100K-view post that is still picking up trend score. Scalable: a format that replicates cleanly across accounts. Convertible: a video that actually pulls downloads. Memes pulled 0.1% conversion. A girl reacting to a hook pulled 0.5%. A 100K-view reaction beat a 2M-view meme on bang for buck.

The system around the framework is more cumbersome than most posts about it admit. He started by filming himself and concluded that a brown man with an Indian accent was not the best fit for the American market. He moved to Russian creators sourced through Kwork.ru at one dollar a minute and twenty-five cents per ten-to-fifteen-second reaction. ChatGPT translation overhead killed that workflow. He moved to Sora 2, then to Seedance. Every clip gets broken into five-second blocks because the model starts hallucinating past five seconds. A CapCut filter layer with ten effects scrubs the plastic skin off AI faces. Phones get lined up on physical farms because the TikTok API gets content flagged.

The funnel sequence he ends on is the part that stuck with me. Organic first, then UGC, then paid. Most founders run it backwards.

Video Chapters:
 
00:00 Introduction
03:00 Losing the paid ad budget on a dating app
06:00 Four hours of TikTok a day for two months
11:00 The VSC framework
14:00 Why memes converted nothing
18:00 Russian creators on Kwork
20:00 Moving to Sora 2 and Seedance
22:00 The CapCut plastic-skin filter
23:00 The five-second hallucination limit
26:00 Why lip sync breaks scale
31:00 The phone farm
38:00 Which products should not run organic TikTok
39:00 Organic, then UGC, then paid

Topics covered:

- Organic TikTok at scale for consumer apps
- The VSC framework: viral, scalable, convertible
- AI UGC production with Sora, Seedance, and CapCut
- Creator sourcing on Kwork and the limits of real UGC
- Phone farms and TikTok content flagging
- Why B2B founders should not run organic TikTok

Learn more:

https://mobileuseracquisitionshow.com/episode/[slug]/ - Episode page 

https://www.linkedin.com/in/annayal/ - Connect with Ankit on LinkedIn 

https://www.annayal.com/ - Ankit's website 

https://intelligentartifice.kit.com - Newsletter

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 2026
• How ChatGPT and LLMs discover and recommend apps
• AEO strategy for mobile apps
• Entity-based writing for app store listings
• Measuring AI visibility across coverage, rank, and sentiment
• AppTweak research on AI-driven app discovery

Learn more: https://mobileuseracquisitionshow.com/episode/aso-for-ai-simon-thillay/- Episode page

https://www.linkedin.com/in/simon-thillay-58b95997/- Connect with Simon on LinkedIn

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

Learn more:https://mobileuseracquisitionshow.com/episode/ai-gtm-strategy-justin-gerrard/

https://www.linkedin.com/in/justin-gerrard/ - Connect with Justin on LinkedIn