An AI photo editing app handed us their distribution problem. Six months later: 60M+ organic views, +180% branded search traffic, +70% installs, and zero increase in paid ad spend.

This isn't a brag. It's the operator playbook — built from the actual campaign mechanics, written for founders and growth leads running mobile apps in 2026.

Inside:
• The 3-axis use-case matrix that surfaced the angles creators could actually execute (and the 3 that scaled vs the 7 that died)
• The 7-block creator brief template — verbatim shot list structure, hook line variants, on-screen text, brand voice rules, payment trigger
• The creator network architecture — tier classification (micro/mid/power), 3 sourcing pipelines, 8-step onboarding flow, payment rails by geo, 3 quality gates, and the "bench" overcapacity mechanic
• How the same use case becomes 3 platform-native scripts — TikTok (70% completion target), Reels (DM-share signal), Shorts (76% retention loop)
• The Reach → Install Bridge mechanics — search-trigger hooks, ASO alignment, branded keyword saturation, cross-platform frequency reinforcement
• What apps can clone (universal mechanics) vs what's AI-photo-specific (the shareable-output loop) vs what's vertical-dependent
• 8 anti-patterns — what we tried that didn't work, including the Lensa-style retention collapse and the single-platform deployment trap

This is the operator's case file. Built for founders and growth leads running mobile apps where AI tools made shipping cheap and distribution became the bottleneck.

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