Or A.

🚀 I grow app installs and revenue with App Store Optimization and Apple Ads (Apple Search Ads). The apps I’ve worked on have 250M+ combined installs, and I manage $20M+ in Apple Ads spend every month. 📱 I’ve worked with apps at every stage: pre-launch startups getting their first listing right, scale-ups chasing their next growth curve, and category leaders protecting top rankings in crowded markets. That spans fintech, health and wellness, gaming, AI utilities, productivity and spirituality, on both the App Store and Google Play. 🎯 My focus is on two things. First, a keyword structure that keeps building organic installs over time. Second, paid campaigns that don’t waste budget on traffic that never converts. Each one makes the other stronger. Apple Ads data shows which keywords convert, organic rankings lower your paid costs, and both lead to users who stay and pay. 🤝 I handle every account myself. No junior handoffs, no agency layers. You’ll talk directly to the person doing the work, and every recommendation comes with the data and reasoning behind it. 📈 Selected Results ⚡ TapScanner | Scaled from 50M to 200M+ installs, $5M+/month in revenue 🚀 PhotoBoost | Launched from zero to 30M+ installs and $1M+/month in revenue 📊 Zilch | Supported growth to 10M+ downloads 🎨 Walli | 15M+ downloads 🔒 PrimeVPN | 10M+ installs 🎙️ TapRecorder | 10M+ installs 📞 CallViewer | 5M+ installs 🌱 Betwixt | Launched from zero to 100K+ installs and $25K MRR 🏢 Current Portfolio Ingenio: ASO across Kasamba, Keen, Purple Garden, Fortunica, Psíquicos and 40+ white-label apps Apple Ads management for 13+ client accounts in health, spirituality, gaming, fintech and utilities 🏆 Apps I’ve worked on have been featured by Bloomberg, Forbes, the Financial Times and The Daily Telegraph, and have earned Apple and Google Editor’s Choice recognition. 🔍 ASO: App Store & Google Play Keyword research and semantic clustering based on intent, not just volume Metadata: title, subtitle, keyword field, short and long description Localization that adds reach without keyword cannibalization across locales Product Page Optimization (PPO) and Google Play store listing experiments Custom Product Pages, including keyword-linked CPPs that now show in organic search Screenshot, icon and creative tests, each one built on a clear hypothesis Ratings and review strategy 💰 Apple Ads (Apple Search Ads) Account audits that find wasted spend in the first week Campaign structure: Brand, Category, Competitor and Discovery Match types, negative keyword discipline, and bidding to your CPA or ROAS goal Custom Product Pages matched to each ad group to lift tap-to-install rate Multi-placement strategy: Today tab, Search tab, search results and product pages, including the extra search results ad slots Apple added in 2026 Tracking set up and checked with AppsFlyer, Firebase/GA4 and RevenueCat 📢 Google Ads (App Campaigns) App Campaigns for installs and in-app actions, on iOS and Android Rotating creative assets and replacing the weakest ones Optimizing for in-app events so you get paying users, not just installs Google Search campaigns to support your brand and capture high-intent traffic 🎨 Creative Strategy & Design Briefs Good-looking screenshots don’t always convert. I write design briefs that give your designer a clear goal for every frame: Messaging pulled from your top-converting keywords, competitor gaps and real user reviews A clear story across the first 3 screenshots, since most users never scroll past them Captions that match the search intent of each audience and Custom Product Page A test hypothesis for each creative, so every PPO or store listing experiment teaches you something 🧠 My Approach Paid and organic shouldn’t work in silos. Apple Ads data shows which keywords convert, and I feed that back into your metadata. Better organic rankings then lower what you pay per install. I measure success by LTV, not cheap installs. Most audits I run turn up the same three problems: metadata that chases volume instead of intent, keyword overlap across localizations, and creatives that were never tested against a hypothesis. I fix them with data, not guesswork. 🧰 Tools: AppTweak, MobileAction, Sensor Tower, Appfigures, AppFollow, SplitMetrics, AppsFlyer, Firebase, Mixpanel, RevenueCat, Figma ⭐ What Clients Say “My app would not be where it is today without Or.” “He delivered beyond expectations, and proactively suggested improvements to areas we hadn’t even asked about. Strongly recommended.” “Or helped us get installs in a short amount of time through ASA/ASO. I plan to continue working with him.” “Highly competent, clear communicator, and covered everything from keywords and metadata to screenshot strategy.” 📩 How We Start Send me your App Store or Google Play link. I’ll reply with the 3 biggest growth opportunities I see, free. If I don’t think I can move your numbers, I’ll tell you that too.