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App Masters

An app marketing and growth consultancy run by Steve P. Young, which also hosts a podcast.

appmasters.com115 sources465 tips
In short

App Masters, Steve Young's ASO and app marketing consultancy, buys under-monetized apps and grows them with ASO and Apple Ads. One client app hit number one in a week, made $1,600 in its first month, and is now near $20K MRR. The lesson: target low-volume keywords (about 30 searches), name the app after them, and study odd apps ranking high with few reviews.

At a glanceA hard paywall multiplied revenue on the same downloads
  1. Bought under-monetized appAbout $1,000 a month
  2. Revenue doubledAbout $2,000 a month
  3. First paywall launchedNo features added
  4. Fully hard paywall$60 yearly, $8,000–$10,000 a month
  5. Close button addedRevenue fell by half

From Steve Young, App Masters

What was said about App Masters

1The hard paywall on the app Steve bought

  • A hard paywall and a higher price multiplied a bought app's revenue. An app making $1,000 to $2,000 a month reached $8,000 to $10,000 after Steve added onboarding, a hard paywall and a $60 yearly price in place of a $3 one-time purchase. Downloads held at 100 to 150 a day and no features were added.

    Start-trial rate went from 6% to 13% while trial-to-paid stayed flat. Between June and August the only change was a close button (the X) that Apple forced onto the paywall, and revenue fell by half. Steve was against a hard paywall at the time and launched it only because that was how the app was coded.

  • Most people buy on day zero, so the paywall belongs in onboarding. RevenueCat's State of Subscription report says nearly all trial starts happen on day zero, and users who don't try at once rarely try later. Every first open should reach a paywall view.

    Steve sees a hard paywall as the fit for paid traffic, for apps with downloads but no sales (it tests product market fit at once) and for new launches, especially in health and fitness where the big apps already use one.

  • Hide the close button only from users who came from paid ads. A "how did you hear about us" screen sorts users by source: App Store search and brand searches get the X, while Instagram, Meta, Facebook and TikTok users get none. A Superwall test of a hard paywall for Meta users had a much better start-trial rate.

    The cost of a hard paywall is one-star reviews, and this split keeps that damage to paid traffic. Steve suggests a hard paywall for all Meta paid traffic.

  • Grant free credits after the X, then ask for a review. An AI app that gave eight free generations but hid them now tells users about them after they dismiss the paywall, with a "claim now" button, then asks for a review. Its rating rose from 4.5 to 4.7 in a month and reviews doubled, from about 300 to 600.

    The claim button does nothing, since the credits are already given. Steve lists timing options for review asks: before the paywall (aggressive), after the trial starts, or later.

2The paywall placement, offer and wording tests

  • Putting the paywall before sign-up nearly doubled who saw it. In a fitness app, about 60% of users dropped off at a hard sign-up screen before the paywall. Flipping the order raised paywall views from 40% to 94%, trial activations by 190% and sales by 52%.

    Ask for sign-in after the trial starts, as Calm does. Returns from extra paywall views start to fade at about eight views.

  • Screens before the paywall that answer doubts lift trial starts. A three-screen flow after onboarding (social proof, a video, then a trial timeline promising 7 days free and a reminder two days before it ends) raised trial activations 56% on one of Steve's apps. The same flow did not work on a client app.

    Steve first saw it on Resumes, then at Blinkist, whose 2021 trial timeline raised conversions 23%. A resume-style version failed on another app, so what each screen says has to be tested. Telling users when the trial ends also cuts "I forgot to cancel" refunds.

  • Moving the trial to a 3-day weekly plan tripled sales. For an app with downloads and trial starts but weak conversion, prices stayed at $50 a year or $6.99 a week, and the trial moved from the 7-day yearly plan to a 3-day weekly plan. Sales tripled on similar downloads.

    Steve's rule of thumb: 7 days usually works best on yearly, 3 days on weekly, monthly plans have poor LTV, and 30-day trials usually fail. Some clients report a 14-day trial shown on exit beat a discount, but that is anecdotal.

  • A cheap plan beside the main one makes the main plan look cheap. A paywall showing $10 a year next to $1.99 a month sold well; cleaning it up to show only the yearly plan made sales tank.

    Two or three plans work and three usually converts best. Monthly is usually weaker than expected, and whether weekly or yearly fits depends on the category.

  • Breaking the yearly price into weekly or monthly terms lifted conversions 38%. Steve wanted the $60 to look cheap, so the paywall showed every price as its per-month or per-week equivalent, doing the math for the user. Conversions rose 38% against no breakdown.

  • Say Continue, not Subscribe, on the paywall button. Replacing "subscribe" with "continue" or "get started" raised conversions 30% for a client. Across client tests, Continue beat Start free trial on iOS, while Start free trial won on Android.

    "Nobody wants to subscribe."

  • Writing "No payment now" under the button added another 30%. For an app with a free trial, adding those words directly under the call to action raised conversions 30% for one client, with no design change.

    A similar copy test found adding the word "free" to a feature lifted conversions 11%, like "buy a burger, get free fries".

  • Unlock wording beat a flat "get everything" on a lifetime plan. "Unlock lifetime insights" got the most trial activations; "Get all features" lost, since it sounds like a handout rather than a reward.

    Naming the lifetime plan signals a one-time payment, which makes the price feel lower.

  • Longer paywalls sell because people read when they have to pay. Plans above the fold, then benefits, testimonials, a free versus paid comparison and the plans again, with a floating call to action. One app went from $200 to $1,000 on 15 downloads a day; another saw sales rise 50%.

    The A/B test kept the same plans and changed only length. The small case shows paywall work can start as soon as an app gets some downloads. Selling the outcome (before and after photos, storage freed) beats listing features.

  • Video makes the value obvious faster than graphics. One developer's soft paywall converted 2.5% with graphics, 4.7% with a real person and 6.8% with a video of the features.

    A client who copied Cal AI's flow found the simple paywall with a video beat the longer version, which had two extra screens he didn't know about.

  • A reverse trial rescued freemium users who closed the paywall. In John's bus and train times app, users who skip the trial still get a free week of pro, with an "ends in 5 days" notice that leads to a discount. Their conversion rose from 0.4% to 4.5%, against an Apple average of 2 to 3% install to paid.

    Two screens push users to use pro features in the free week. Other second offers: a $1.99 first month then $60 a year (20 to 30% pick it and they renew, though Steve's numbers are weak so far), and Flow's 30% discount right after the trial starts, shown without data.

  • Two odd options on the source question raised one client's ARPU 30%. Adding "on TV" and "from a lawyer" to the "how did you hear about us" screen, a tip from a podcast guest for an older audience, lifted ARPU 30%.

    The options add credibility even with no TV ads running.

3Pulling a tentacle: building apps from keywords

  • Build around a keyword a big app has expanded into but can't defend. Calm grew from meditation into sleep stories, soundscapes, focus music and green noise, and does not even rank first for "meditation". Each of those side topics is a tentacle a small app can take through organic search.

    Steve's case: apps launched before 2020 earn about 69% of subscription revenue and 2025+ apps just 3% (RevenueCat), and vibe coding flooded iOS with new apps in 2026, so ideas "from your dome" tend to fail.

  • Start in high revenue-per-install categories, then niche down to painkillers. Steve stays in health and fitness, education or business. Health and fitness breaks even near $3 per install at day 14 and close to $4 by day 60.

    Meditation is a vitamin; green noise or migraine tracking is narrower, and a painkiller like migraine tracking supports a hard paywall. Migraine Buddy makes about $50,000 to $70,000 a month despite a weak onboarding and paywall.

  • Mine a high-earning app's keywords for traffic near 30 and weak competition. Find a big app (at least $300,000 a month) in AppMagic, confirm a revenue-to-downloads ratio of 3 to 1 or better in Sensor Tower, then list its keywords in ASO Mobile. Endel earns about $500,000 to $600,000 a month on about 100,000 downloads; "brown noise" scores 35 with difficulty 2.5.

    Collect six to 10 keywords as plans A, B and C; a score of 20 or lower is weak. Steve says he doesn't know what the volume number means in daily searches, but two keywords near 30 at number one gave an app 100 to 150 downloads a day.

  • Check the actual App Store results, since tools overstate competition. A keyword is open if the top apps with it in their title have few ratings; the first brown noise app has 645 ratings. For one client no result had the keyword in its title, and the app hit number one at launch.

    A rival with many ratings and the phrase in its title is not worth fighting, such as a sleep sounds app with 205,000 ratings.

  • Apps ranking high with few reviews point to ignored keywords. Browse a broad term like meditation, spot the app that ranks oddly well (one ranked third with 138 reviews), then pull its keywords in ASO Mobile or App Follow. A client launched on a keyword found this way and made $1,600 in its first 21 days at number one, with about 100 downloads a day.

    Sensor Tower and the Meta Ads Library show whether such an app buys traffic. Apple's API changes mean App Follow surfaces these less well now.

  • Title and subtitle wording does most of the ranking. Green Noise launched as "Green Noise App" with the subtitle "Green Noise for Better Sleep", copied from Apple's autofill, and reached number one; it is still third with almost no attention since.

    Its keyword field held only "green, noise, app, com, free". A client outranked Canva on a niche keyword while earning far less, since Canva can't chase narrow terms.

  • Keyword-first apps earned from launch without ad spend. One of Steve's apps made $550,000 last year, another earns $2,000 to $3,000 a month with no ads, and a client app launched in March 2023 was profitable from day one and reached $12,000 to $15,000 a month organically.

    A just-bought app has made over $1 million since March 2024, mostly from search and browse; a client's ASO-only app reached about $125,000 and is near $20K MRR.

  • Ship simple, fix monetization, and add paid ads only past 10K a month. After winning the keyword, work on paywall, onboarding and pricing, add features around 5K to 10K, and consider ads above 10K. With installs costing about $2 to $5, revenue per install must exceed $2.

    Organic can reach about six figures a year; seven figures probably needs paid, which is why Steve spends to scale the $550,000 app while the smaller ones stay organic.

4Buying under-monetized apps

  • Buy apps with organic downloads but weak monetization, then fix two things. The week after buying, Steve makes a name change to pull more organic downloads and a paywall adjustment. Trial starts double while trial-to-paid stays flat, so revenue sometimes doubles within a couple of months.

    He prefers organic apps, calling a paid-driven app a "money eating machine".

  • A loan can let a cash-flowing app pay for itself. In Steve's example, a $350,000 app earning $10,000 a month, financed by a 10-year loan at about $5,000 a month, leaves about $5,000 a month in profit, like a house with tenants already paying.

    The math ignores interest, taxes, fees and revenue decline, and Steve says it may not be right. One $18,000 purchase flopped.

  • Win on a channel you're uniquely good at, not a copied strategy. With anyone able to build an app, "the better app is the one that has better distribution." Steve's edge is ASO and Apple Ads, which run on keywords rather than creatives and are the easiest channels to learn.

    Joseph Choi calls this "founder channel fit". Few founders at $100,000 MRR report Google or TikTok as their main channel.

5The App Store screenshot tests

  • Sharper captions on a therapy app lifted downloads 30%. The app already ranked first for CBT, so the first caption changed from "Calm anxiety and feel better" to "Calm anxiety with cognitive behavioral therapy", led with personalized, interactive, video-guided therapy, and added an Editor's Choice badge.

    The look stayed the same; only words changed. Steve found the differentiator by using the app, and asked the owner what users love most: confidential journaling, which became the third screenshot.

  • Highlighting features on top of a new background lifted downloads 61%. A sporty background beat a plain blue one by 10 to 13%, then feature-highlighting screens with nearly the same titles took the total to 61%. Steve's agency now builds this style into client screenshots.

    The case came from Split Metrics and AppScreens. Other tests showed 30% for a variant and 13.8% for a redesign of a client's unattractive originals.

  • Test the first three screenshots, one change at a time. Only the first three show in search results and Apple ads, so they matter most; faces there tend to help. App Store Connect allows only one product page optimization test or draft at a time.

    Results vary: Angry Birds found standard screenshots beat seasonal ones, and video usually helps games but often hurts non-games. Manual uploads often scramble order, which AppScreens avoids.

  • Leading with a new feature won a small reorder test. On Steve's Paraphrase app, putting Speak first and moving Rewrite in your style to fourth won. The uplift was small.

    Small lifts still count: 15% on 10,000 downloads is 1,500 more installs with no keyword changes. Social proof and a human in front are the next tests.

6Getting a funnel ready for Meta ads

  • Hit funnel conversion targets before spending on Meta. Aim for 5 to 10% install-to-trial (10%+ with a hard paywall), over 30% trial-to-paid and about 2% install-to-paid, with the trial on the highest-LTV plan. 1,000 installs at 7% and 30% give 21 subscribers, about 2.1%.

    RevenueCat benchmarks: 2.6% median iOS download-to-paid by day 35 and about 33% median trial-to-paid. "If you got a leaky bucket, you might as well write Meta a big check."

  • Each install needs at least $3 of lifetime value for Meta. Meta installs are expensive, so check LTV per install around month 11 in RevenueCat, Adapty or Superwall. Apple Ads can work at a lower figure.

    $3 is Steve's opinion and a friend argues for more. For one of his apps, month one and month 11 LTV are about the same.

  • Prove strangers pay through ASO or Apple Ads first. Search traffic is pull traffic and converts better than Meta, which interrupts people, so it is the cheap place to prove the funnel. Expect Meta users to convert worse.

    Apps that can't rely on search, like a new social network, must test on Meta directly and pay more.

  • Verify Meta's events against App Store Connect before launch. Send install, paywall view, start checkout, start trial and subscribe through the Meta SDK. Over the same period Meta showed 276 trial starts against 312 in App Store Connect, close enough to trust.

    Installs read a little over 4,000 in Meta against about 3,000 in Apple; trial starts matter more. Install to paywall view should be near 100%.

  • Optimize for trial starts and budget for 50 a week. Meta delivers whatever you optimize for, and install optimization buys $1 to $2 installs that never pay. A $1,000 test at $2 per install gives 500 installs, 35 trials and 10 to 11 subscribers, about $95 each.

    That is below the 50 weekly events Meta needs, so $1,000 only hints at whether a creative works.

7Researching and testing ad creative

  • Study competitors' longest-running ads, since they're probably working. In the Meta Ads Library or SocialPeta, filter to active ads, sort by impressions and find the oldest start dates. A Cal AI ad running since June 3 was a 9-second hook, demo and App Store badge.

    Also study apps sharing your audience: short drama apps skew female in their 30s and 40s, like many health apps. Cal AI puts about 90% of spend on Meta and about 60% in the US.

  • Break a winning ad into parts and reuse its logic. Cal AI's best ad opens with a six-second 315 lb to defined abs transformation, spends nine seconds on the app, and ends on the App Store page.

    Paid ads should show the app, since viewers must see it before starting a trial, even though organic content shouldn't.

  • Test whole concepts before tweaking details. For a calorie app, compare food tracking, before and after weight loss, and tracking snacks, rather than swapping the food in the hook. Launch three to five concepts in one ad set.

    Each ad needs a hook, demo, offer and App Store end card. Custom product pages matched to each ad come in phases two or three.

  • Run cheap three-day creative tests on your best converting days. One ad set, four creatives, $50 a day, judged on a 30 to 40% hook rate and hold rate. Steve's app converts best Sunday to Tuesday, so that is its window.

    Find your days from trial activation rates; games may peak Thursday to Saturday. Ivy from Resto Me spent $20,000 a day with positive ROAS but took a couple of months to see it.

8Cash flow and the 45-day payout delay

  • Profitable apps run out of cash because stores pay 45+ days late. With a $10,000 budget at $3,000 a week, $1,000 is left by week four; the $9,000 spent returns about $10,800 at 120% ROAS, but that money is still 45 days away.

    Steve runs a bought app on one paid channel at $10,000 to $12,000 a month and stays fine on cash at $13,000 to $20,000 of spend.

  • Advance proceeds only once the channel is proven. Adapty Finance advances 85% of proceeds within 24 hours for about 2.5%, using the Adapty SDK to verify revenue. In the example, the advance is taken at week four once creative and funnel are profitable.

    $11,000 of proceeds returns $9,000, and a $5,000 spend at 175% ROAS brings back close to $9,000.

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