Unlockd \Australia

Unlockd pioneered mobile advertising monetization by offering users free data, content, or rewards in exchange for viewing lock screen ads. The value proposition was compelling: carriers and OEMs could reduce customer acquisition costs while users offset mobile plan expenses through ad-subsidized services. Launched in 2014 when mobile data was expensive and ad-blocking was rising, Unlockd positioned itself as a win-win-win marketplace connecting advertisers (premium brand access), carriers (retention tool), and consumers (cost savings). The timing seemed perfect—smartphones were becoming primary screens, lock screens represented untapped real estate with 100+ daily impressions, and emerging markets desperately needed affordable connectivity. Unlockd secured partnerships with major telcos including Boost Mobile, Virgin Mobile Australia, and international carriers, embedding their SDK directly into carrier-branded apps and OEM firmware. The company raised $37M from strategic investors including Axiata Group (Southeast Asian telco giant) and Catch Group (e-commerce), validating the carrier distribution thesis. At peak, they claimed 5M+ users across Australia and Southeast Asia, with users unlocking their phones 50-100 times daily, creating unprecedented ad inventory. The 'why now' was mobile-first consumers in data-constrained markets seeking alternatives to expensive unlimited plans, combined with advertisers chasing the shift from desktop to mobile attention.

SECTOR Communication Services
PRODUCT TYPE Mobile App
TOTAL CASH BURNED $37.0M
FOUNDING YEAR 2014
END YEAR 2018

Discover the reason behind the shutdown and the market before & today

Failure Analysis

Failure Analysis

Unlockd's collapse was a catastrophic legal and regulatory failure that exposed the fragility of business models dependent on platform gatekeepers and ambiguous intellectual property...

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Market Analysis

Market Analysis

The mobile lock screen advertising market Unlockd pioneered has fragmented into three distinct segments, each with different winners and viability. First, the **carrier-integrated model**...

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Startup Learnings

Startup Learnings

Platform Risk is Binary: Never build a business model that requires circumventing or exploiting gray areas in platform terms of service (iOS, Android, AWS,...

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Market Potential

Market Potential

The 2024 market presents contradictory signals. On one hand, global mobile advertising reached $362B (2023), with lock screen/interstitial formats growing as TikTok and Instagram...

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Difficulty

Difficulty

The core technical challenge—lock screen ad delivery with reward tracking—is trivial today. Modern mobile development frameworks (React Native, Flutter) with Firebase/Supabase backend, Stripe Connect...

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Scalability

Scalability

Lock screen advertising has exceptional scalability characteristics once network effects ignite. Marginal cost per user approaches zero—serving ads is pure software with cloud infrastructure...

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Rebuild & monetization strategy: Resurrect the company

Pivot Concept

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An AI-native lock screen that transforms your phone into a proactive personal assistant, using on-device LLMs to intelligently surface the right information at the right moment—calendar conflicts, message summaries, contextual suggestions—while monetizing through privacy-first subscriptions and hyper-relevant local commerce. Unlike Unlockd's ad-spam model, Sentinel earns attention by saving users 20-30 minutes daily through intelligent information triage, with optional contextual ads that feel like helpful suggestions rather than interruptions. The core insight: lock screens should be decision engines, not billboards.

Suggested Technologies

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React Native + Expo (cross-platform mobile, 90% code reuse iOS/Android)Supabase (auth, user preferences, sync across devices)On-device ML: Llama 3.2 1B/3B via llama.cpp or Mistral 7B quantized (notification summarization, intent detection)Vercel AI SDK (streaming responses, function calling for calendar/email integrations)TensorFlow Lite / Core ML (on-device inference, zero cloud dependency for privacy)Stripe (subscriptions, affiliate payouts)RevenueCat (cross-platform subscription management, paywalls)Segment (privacy-compliant analytics, no PII)Algolia (local business search for contextual commerce)Google Calendar / Outlook APIs (calendar intelligence)IMAP/Gmail API (email summarization, on-device only)OpenAI GPT-4o mini (cloud fallback for complex queries, user opt-in)Cloudflare Workers (edge functions for real-time contextual ad matching)

Execution Plan

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Phase 1

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**Week 1-4 (Wedge - Smart Notifications):** Build core lock screen replacement with intelligent notification grouping. Use on-device Llama 3.2 to categorize notifications (urgent/FYI/spam) and surface 3-5 priority items on lock screen. No ads, no monetization—pure utility. Target productivity enthusiasts on Reddit (r/productivity, r/androidapps) and ProductHunt. Goal: 5K users, 40% daily active, NPS >50. Key metric: average time saved per unlock (measure via A/B test showing standard lock screen vs. Sentinel, track task completion speed).

Phase 2

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**Week 5-8 (Validation - Calendar + Email Intelligence):** Add calendar conflict detection ("You have overlapping meetings at 2pm") and email summarization ("3 unread emails: 2 newsletters, 1 urgent from boss"). Integrate Google Calendar and Gmail APIs with on-device processing only—no data leaves phone. Launch freemium: free tier (5 AI summaries/day), Pro tier ($4.99/month unlimited). Run iOS beta via TestFlight to validate cross-platform demand. Goal: 20K users, 15% conversion to paid, $15K MRR. Survey users on willingness to see "helpful" contextual ads (local coffee shop when calendar shows morning meeting nearby).

Phase 3

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**Week 9-16 (Growth - Viral Loops + Integrations):** Build share features: "Sentinel saved me 2.3 hours this week" social cards, referral program (1 month free for referrer + referee). Integrate with Todoist, Notion, Slack for cross-app intelligence. Launch contextual commerce: if calendar shows "dentist appointment," surface local pharmacy ad for toothpaste with 15% off—earn 10% affiliate commission. Use Cloudflare Workers to match user context (time, location, calendar) with local business inventory in real-time, privacy-preserving (no user data stored). Goal: 100K users, 20% paid conversion, $100K MRR, 1.5 viral coefficient.

Phase 4

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**Week 17-24 (Moat - Enterprise + AI Personalization):** Launch B2B tier for enterprises: Sentinel as employee productivity tool with admin dashboards showing aggregate time savings (no individual tracking). Charge $3/user/month for 100+ seat orgs. Build personalized AI models: fine-tune on-device LLM on user's interaction patterns (which notifications they dismiss, which they act on) to improve relevance over time—this creates switching costs as the AI gets smarter with usage. Add voice mode: "Hey Sentinel, what's urgent?" using Whisper for on-device speech recognition. Goal: 500K users, 25% paid, 50 enterprise customers, $500K MRR, path to $10M ARR in 18 months. Moat is personalized on-device AI that competitors can't replicate without user data and time.

Monetization Strategy

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**Three-tier model with 60% gross margins at scale:** (1) **Freemium Subscriptions (60% of revenue):** Free tier with 5 AI summaries/day and basic notification grouping. Pro tier at $4.99/month (unlimited AI, calendar intelligence, email summaries, custom widgets). Ultra tier at $9.99/month (voice assistant, cross-device sync, priority support, advanced automations). Target 25% conversion rate (industry benchmark for productivity tools is 18-30%). At 1M users, 250K paid = $1.25M MRR from subscriptions. (2) **Privacy-First Contextual Ads (25% of revenue):** Hyper-local, time-sensitive ads matched to calendar/location context without tracking. Example: Calendar shows "gym 6pm" → surface protein shake discount at nearby smoothie shop. Charge local businesses $50-200 CPM (vs. $0.50 for generic lock screen ads) because conversion rates are 10-20x higher when ads match immediate intent. Limit to 1-2 ads/day for free users, zero for paid. At 750K free users seeing 1.5 ads/day, 30-day months = 33.75M monthly impressions × $0.10 effective CPM (blended rate) = $337K monthly ad revenue. (3) **Affiliate Commerce (15% of revenue):** When AI suggests products ("Your flight is delayed, here's a lounge pass" or "Meeting in 30min, order Uber now"), earn 5-15% commission on transactions. Partner with Uber, DoorDash, Amazon, local services. At 1M users with 10% monthly purchase rate, $30 average order value, 8% commission = $240K monthly. **Total at 1M users: $1.83M MRR, $22M ARR.** Enterprise tier adds $150-300K MRR at 50-100 customers. Path to $50M ARR at 3M users (750K paid, 2.25M ad-supported) with 70% gross margins (cloud costs under $200K/month due to on-device processing). Exit comps: Superhuman ($1B valuation at $30M ARR), Notion ($10B at $200M ARR), or acquisition by Apple/Google as default lock screen intelligence (precedent: Apple acquired Dark Sky for $30M, Google acquired Timely for $100M+).

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