Source
TL;DRBefore you make a single video or pay a single creator, watch what’s already going viral in your niche — then copy the formats. Search your keyword on TikTok, filter by most-liked, dump 25–50 winners into a spreadsheet (hook, storyline, CTA), and recreate them for your product. “You don’t need to reinvent the wheel.”

What it means

  • Market research is the highest-leverage step in app marketing — Cravotta: “I could delete this entire document and leave market research; if you understand it, you will win.”
  • The goal: extract the viral themes, hooks, and storylines working in your niche, not invent new ones.
  • It also doubles as idea validation — if a problem goes viral organically, it’s marketable.

The argument

The method is mechanical.

  • Search your niche keyword on TikTok → filter most-liked, all-time (or last 6 months) → save 25–50 videos to a spreadsheet noting concept, hook, storyline, CTA, view/like counts (how-i-market-apps-that-print-30k, studied-100-viral-ai-apps-marketing).
  • Adam Lyttle sharpens the filter: do not just ask whether the niche is viral — ask whether the transformation is visually obvious enough to sell mid-scroll. If the app is a plain utility with no clear before/after, Meta-style creative may never become efficient (adam-lyttle-how-i-create-ads-for-my-apps-3-step-process).
  • Replicate the proven formats. Cravotta saw “drop your vape in a glass of water” going viral (3.7M likes) and recreated it → 1.1M views, tens of thousands of installs.
  • Scroll intentionally as a buyer, not a consumer: if TikTok/Instagram ads keep targeting you with a type of app, the algorithm is exposing a monetized audience and a content angle you can study (my-step-by-step-framework-for-validating-app-ideas-2026).
  • Works on any platform (Instagram, YouTube) and even with zero existing content — you borrow others’ proven concepts.

Use the research tools, not just guesswork.

  • Sensor Tower — only learn from apps doing >$50k/mo; nothing to learn from sub-scale apps.
  • Viral Ads Library — database of top organic + paid content by niche.
  • Facebook Ads Library / TikTok Top Ads — type in any competitor and see all their active ads; a competitor running many active ads is a strong positive signal (they’re profitable).
  • paywallscreens.com / Screens Design / Mobbin — research competitors’ paywalls, onboardings, and full app flows for the monetization side (Screens Design = a 2,200+ app video library built by Alex).
  • Mobbin as craft research — use the same reference discipline for core product UX: Chris Raroque mood boards search flows, tab bars, icon systems, and state patterns before prototyping in Figma (my-app-design-process, how-i-make-apps-feel-10x-better, app-product-craft).
  • Spy Talk — an AI that scrolls hundreds of thousands of TikToks and surfaces outlier videos that promote apps in your niche, ranked by how far they beat the account’s median (so it’s the video, not the followers). Built off Consumer Club demand (joseph-choi-consumer-club-distribution); used by AMO, Voodoo, 11 Labs.
  • ASO intelligence is relative — App Masters’ tool comparison says MobileAction, Sensor Tower, AppFigures, and AppMagic vary by app scale; use them to find direction, not exact competitor revenue (best-aso-tool-for-accurate-download-revenue-data).
  • ASOMobile / App Radar / MobileAction — use them to build a keyword universe, then inspect actual App Store search results before committing metadata (the-most-important-element-of-app-store-optimization-aso-k, live-app-store-optimization-tutorial-aso).
  • Templates from a link — paste a winning TikTok and tools (Double Speed) generate a modular template to mass-vary (ai-content-phone-farms-zuhair).
  • Hook databases + remix tools — Your Average Tech Bro’s Yorbie/Social Queue workflow starts with a curated library of proven hook-and-demo videos, then remixes the hook for a new app instead of writing from scratch (ultimate-saas-social-media-marketing-guide, scaled-app-to-5k-with-ai-generated-social-media-content).

Research is also how you find product ideas — “spy on PMF.”

Then create, with the right CTA.

The caveat: research without volume is nothing.

Do this, not that:

  • Study viral content for ~5–7 days before posting anything — don’t post blind.
  • Replicate proven formats — don’t chase original ideas.
  • Learn only from apps making real money (Sensor Tower >$50k/mo) — ignore sub-scale apps.
  • Sell the transformation with a sneaky CTA — don’t make an ad.

app-tool-stack · no-audience-launch · content-market-fit · content-marketing-flywheel · paid-ads-scaling · creator-content-engine · distribution-automation · idea-validation · app-product-craft · steven-cravotta · superwall-podcast · chris-raroque

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