Video summary
My Two Apps Make $150K/Month Each
Main summary
Key takeaways
Business growth overview (apps + results)
- Nicole built 4 consumer apps in ~2 years and runs a repeatable “distribution-first” system (design + virality + UGC ops).
- She focuses on hard paywalls and subscription monetization.
Reported outcomes across apps
- Glamour (Glam Mob)
- 1M users in 6 months
- Peak ~$150K MRR
- ~2M total downloads
- Sprout (formerly PrepearAI)
- ~250K MRR in ~8 months
- Later periods described as “steadily growing” to ~200K MRR+
- Two additional apps in stealth
- ~200K MRR each (or combined as stated)
- Growing quickly using the same system
Traffic / view scale (distribution KPI proxy)
- Late last year (Sprout): ~100M monthly views
- Current: ~400M–500M monthly views across TikTok, Instagram, YouTube Shorts
- Example spike: ~400M views in 7 days
Target customer segments
- Glamour: women improving makeup/skin-care routines
- Sprout: college / post-college students seeking jobs (higher purchasing power)
Monetization + product strategy
- Hard paywall on apps (no freemium positioning described)
- Subscription revenue model
- “Weekly or monthly subscription” for both main apps (Glamour + Sprout)
Features designed to support distribution / virality
These features are positioned as part of marketing (not just product utility):
- Glamour (face scan / personalization)
- Scan your face → color analysis
- Glow-up guides
- Makeup looks
- Product recommendations
- Sprout (job application automation + personalization)
- Onboarding questions → tailored job postings
- Swipe right = auto-apply
- Swipe left = skip
- Tools like tailored resumes
Core framework: “Distribution system” built from repeatable loops
Nicole’s playbook consistently links: consumer app design → content virality → an industrialized UGC pipeline.
Distribution + growth loops (playbook steps)
-
Find your viral distribution strategy
- Test multiple channels/formats, such as:
- Reddit marketing
- TikTok/Instagram faceless content (slideshow variants + CTA variations)
- Face UGC (either AI UGC or real creators)
- If capital allows: paid ads + influencer marketing
- Testing cadence:
- Run each new strategy for ~2–3 weeks
- Then “milk the hell out of it” once winners emerge
- Test multiple channels/formats, such as:
-
Build a proper UGC system (turn virality into operations)
- Start by understanding app/content better than creators do
- Scaling path:
- Start as your own UGC creator if needed
- Or onboard 2–10 creators
- Train until they go viral, then expand
- UGC sourcing:
- Inbound: application forms in UGC groups, Instagram, Reddit, platforms like Sizzelle
- Outbound: VAs outreach to micro-influencers
- UGC onboarding (structured training):
- Interview + vibe check (seriousness + fit)
- Creator course (tailored per app)
- Training includes:
- Typeform intake
- Video/modules
- Content bank training
- Quizzes for quality control
- Claimed outcome KPI:
- >50% of creators go viral within the first 2 weeks after completing the course
-
Manage creators with an operating rhythm
- Options:
- Hire UGC managers
- Bring top UGC creators into more ongoing roles
- Use Discord chats
- Bi-weekly / monthly feedback calls
- Options:
-
Systematize + optimize once scaled
- Add/refine:
- Referral system for UGC creators
- Dashboards for growth + analytics
- Principle: luck can start virality, but sustained virality comes from maximizing “surface area” through process
- Add/refine:
Product as distribution (explicit principle)
- App design is part of distribution, including:
- Welcome pages + onboarding to improve conversion
- Priming users to convert better
- App experience made “innately viral” for social media, accelerating content performance
Concrete distribution execution examples (tactics + volume targets)
- Glamour / Glam Mob (Glamour)
- Faceless UGC era described
- Peak month views:
- ~40–50M TikTok views
- ~200M Instagram views
- Sprout (PrepearAI)
- Avg ~100M monthly views
- ~400M views in 7 days
- Creator ops capacity during scaling:
- ~200+ active creators simultaneously (described as ~200 or slightly more)
Tools / stack (operations + measurement)
- React Native
- RevenueCat
- Superwall
- PostHog
- Sideshift
- Atio
- Optional: custom portals for internal needs
KPIs and metrics mentioned (and implied targets)
Revenue / growth KPIs
- MRR milestones
- 150K MRR peak (Glamour)
- 250K MRR in 8 months (Sprout)
- ~200K MRR+ for other apps in stealth
- “Over $100K/month” used as a decision threshold
Acquisition / engagement KPIs (distribution proxies)
- Users: 1M users in 6 months (Glamour)
- Downloads: ~2M total downloads (Glam Mob)
- Views: 100M monthly → 400M–500M monthly across TikTok/IG/YouTube Shorts
- Creator performance: >50% of creators go viral within 2 weeks after completing the course
Timeline targets
- Viral strategy testing window: 2–3 weeks
- Creator onboarding “time-to-viral”: first 2 weeks post-course
Actionable recommendations (from the episode’s playbook)
- Don’t rely on “posting one video and hoping.”
- Build repeatable distribution testing across multiple formats/channels.
- Treat “viral content” as an engineering problem:
- Turn it into UGC sourcing → onboarding → management → optimization.
- Invest heavily in creator education:
- Use structured courses, content banks, quizzes, and quality checks.
- Scale only after finding winners:
- Once a format/channel works, double down by increasing creator throughput.
- Use measurement + paywall/revenue tooling:
- Revenue tracking + analytics + paywall optimization (e.g., RevenueCat, PostHog, Superwall).
Presenters / sources
- Pat Walls (host, Starter Story)
- Nicole (guest; founder of Glamour/Glam Mob and Sprout/PrepearAI; also built apps in stealth)
- “Gus” (Starter Story producer)