Freddy Fang
Interviewer on App Leaders by Adapty. Occasionally adds Adapty’s own observations (e.g. that apps which test more reach higher LTV, personalisation in top onboardings).
Bias to keep in mind: works for Adapty, a paywall/A-B-testing vendor — “test more” is its pitch; the claims are not backed by published data in the episodes.
Sources: sources/youtube/app-leaders-by-adapty/.
Notes citing Freddy Fang
- Choosing creator niches by what the viewer wants (and reading the comments)Why on-topic creators (UFC fighters, mukbang, recipe and Love Island accounts) flopped for Cal AI while day-in-the-life fitness creators and moms printed, the comment-section test for niches and individual creators, and spotting creators before they blow up.
- Content first, app second — launching from a personal brandStella's founder (1.2M Instagram / 2.8M TikTok) built the audience first, mined comments for the product gap and reports >$300K MRR within ~2 months; she argues virality is a learnable skill (new accounts to 40K–700K followers) — but Symmetry's YouTube community did not carry its app.
- Copy or innovate? Differentiating in a "saturated" app categoryJake Castillo's view that saturation means proven demand (win with a novel, easier feature or a hyper-specific niche, and avoid social apps), Gleam's "copy Duolingo's defaults, add a twist", and Nami/Storemaven's warning against copying competitors' pricing and paywalls without knowing why.
- Deciding what to build — OKRs, funnel analytics and A/B-testing every product changeSymmetry's (~$160K/month) product process — quarterly OKRs, event tracking on every onboarding screen, user interviews for the "why", problem-first hypotheses with guardrail metrics, ≥2-week A/B tests in PostHog — where a one-screen commitment step lifted retention 3% and a redesigned home screen moved nothing.
- Finding the one repeatable organic format for your appHow Gleam (non-visual social-skills app) spent 3–4 months testing copied formats before long open-loop storytelling videos worked, why its 100K-follower POV accounts barely converted, Stella's savable "repeat for 7 days" affirmations and ManyChat comment-to-DM, Symmetry's lock-screen-notification format (17M views) and sub-format tracking — then recreating the winner "to infinity".
- Growing an app without paid ads — Cal AI, Coconote and WeWard comparedSide-by-side numbers and choices of three apps that scaled mainly on organic channels — Coconote ($1M ARR in 4 months, no paid ads, ~50% EBITDA), Cal AI (creators, then paid after a few months, $30/yr for mindshare) and WeWard (PR only for 4 years) — and when each added paid.
- How often to run paywall tests — and why a 5% ARPU lift can be your whole ad marginCal AI ran ~4 paywall tests a week (~300 in 18 months), single tests worth $10–50K/month, starting from ~100 users/day; Gleam argues a 5–6% ARPU lift can be the entire margin on paid ads and unlocks channels (and acquirers); treat the paywall as a never-finished marketing asset.
- Personalising the paywall with what onboarding (or the ad) already told youCarry intent signals into the paywall — Fastic's 20–30-step onboarding (~80% completion) puts the user's target weight on the paywall; Gleam returns a persona scorecard and course picks before asking for money; Apple Ads keyword or ad group can pick the paywall variant.
- Pricing influencer deals — RPM cap, flat rates and minimum view clausesHow Cal AI priced creator deals — never pay a CPM above your revenue per 1,000 views, base rates on a creator's average (not best) views, prefer flat rates to keep the viral upside, and use a minimum view clause set below what the creator claims.
- Setting your first subscription priceStart higher than feels comfortable — Ravi Mehta's $20–30/month "high waterline" doubles as a PMF test — then anchor on competitors, cost-plus-perceived-value (AI apps), ROAS/payback math and the value of the user's whole problem; text-AI wrappers cluster at $30–40/year, niche custom-prompt chat apps get $20+/month.
- Stuck with no traction? Remove the friction before the first successVisualizee sat at ~$100–150/month for two years until a node-graph UI became a chat with a prompt assistant (and one-time payments became subscriptions) — ~$10K/month; Cal AI won by turning calorie "homework" into one photo; activation friction defines what a category can do.
- Tailoring paywalls to the ad source and keyword intentUsing attribution data inside the app to change the paywall by where the user came from — Adapty's keyword-tailored funnels (Apple Ads "Sora AI" searchers see a Sora-themed CPP, onboarding and paywall), higher prices for brand-intent traffic, longer trials for "free…" keywords, competitor-keyword paywalls, and Samet Durgun's no-trial paywall for Meta users.
- Testing campaigns vs evergreen campaigns for app ads on Meta — forcing spend and graduating winnersHow subscription-app media buyers separate creative testing from evergreen campaigns on Meta — Samet Durgun's install-campaign funnel (200 ads on Android → 10 on iOS → 2 hero creatives), automated rules that cap spend per ad so every ad gets tested, and graduating only on cost per purchase after the trial window.
- The three-screen pre-paywall sequence (explain the free trial)A 2–3 screen sequence before the paywall ("try free", "we'll remind you before it ends", trial timeline) that raised trial starts 56% in one app; Blinkist, Rest of Me, Cal AI variants.
- UGC, influencers or paid ads first? Choosing by cash, stage and marketWhat each channel buys (UGC = a swing at the algorithm, influencers = borrowed trust, paid = clicks, so make it hard-sell), Jake Castillo's rule — no money → UGC/self-made content, some budget → influencers, cash-flow not a concern → paid — and how Gleam, Symmetry and Cal Buddy actually sequenced channels.
- Weekly vs monthly vs yearly plans — and which plan gets the trialMonthly plans usually underperform; test weekly vs yearly per category, and put the free trial on the plan with the highest LTV — moving it from yearly to a 3-day weekly tripled sales in one app.
- What breakout indie app case studies have in common (Cal AI, Gleam, Stella, Cal Buddy, Symmetry, Visualizee)Side-by-side numbers from six 2024–26 founder stories ($10K to $40M ARR) and the patterns they share — a big proven category, one low-friction core action, one repeatable distribution engine found before scaling, hard paywall with yearly/trial, relentless testing — plus where they contradict each other.
- What subscription apps spending $100K+/month on Meta have in commonSamet Durgun's (Sep 2026) common denominators of subscription apps that scale Meta past $100K/month — LTV:CAC ≥2–3×, value/tROAS optimisation (no cost caps or install goals), 10 events per ad set per day, four tiered geo campaigns, install → validation → main creative flow with a cost-per-winner metric, one strong growth engine, cash planning, and the "invisible cost" of a passive UA lead; plus what separates $100K from $1M/month.
- Which countries to target with app ads — high-RPD bundles and cheap-but-paying geosCountry choices for subscription-app ads in 2025–26 — Samet Durgun's single Meta ad set covering high revenue-per-download countries with the language set to English, Adapty's case for testing cheaper geos (South Africa, Brazil, Romania, Poland) on Apple Ads, and the App Store storefront vs IP-country mismatch.
- Which event should Meta optimise on? Qualified trials and enriched eventsHow subscription apps pick the Meta optimisation event that has both volume and quality — start trial vs purchase budget math, "qualified trials" (trial not cancelled within 1–2 hours), backend-enriched events above ~$100K/month, and how to A/B test events at ad-set level.