Beet Notifications¶

1. Why It Exists¶

Problem it solves: Users miss out on time-sensitive opportunities, events sell out without their knowledge, and they don't discover relevant experiences that match their interests. Traditional apps bombard users with irrelevant notifications, leading to notification fatigue and disabled alerts.

Value proposition: Smart, contextual notifications that feel like a helpful friend reminding you about things you actually care about. Every notification drives engagement, creates value, and enhances the entertainment experience.

Strategic importance: Notifications are the connective tissue between all Beet features - they drive user engagement, increase transaction frequency, enable partnership value delivery, and create the "wow" moments that differentiate Beet from generic entertainment apps.

2. Scope¶

MVP (Phase 1 - 3 months)¶

Core Notification Types: - Event Reminders: 2 hours before booked events - Deal Alerts: When near partner restaurants/venues - Social Updates: Friends attending same events - Booking Confirmations: Instant booking success - Price Drops: For wishlisted movies/events

Delivery Channels: - Push notifications (iOS/Android) - In-app notification center - Email (for important updates)

Basic Intelligence: - Time-based delivery (not during sleep hours) - Location-triggered for nearby deals - Frequency capping (max 5/day)

Phase 2 (Months 4-6)¶

Advanced Notification Types: - Experience Chains: "Movie ending in 30 mins - restaurant nearby has table available" - Group Coordination: "3 friends just booked this event" - Cultural Calendar: Festival and religious event reminders - Reward Milestones: "10 points away from free movie" - Predictive Suggestions: "Based on your pattern, book Saturday movie now"

AI Enhancement: - Optimal timing prediction per user - Engagement-based frequency adjustment - Natural language customization - Contextual bundling

Phase 3 (Months 7-12)¶

Autonomous Features: - Pre-authorized Actions: "Booked your usual Friday movie - cancel if needed" - Dynamic Packages: "Complete evening planned based on preferences" - Social Autopilot: "Suggested this event to your usual group" - Predictive Lifestyle: "Next month's cultural calendar prepared"

Advanced Intelligence: - Multi-modal delivery (voice, AR) - Emotion-aware messaging - Cross-platform coordination - Predictive life enhancement

Out of Scope (For Now)¶

SMS notifications (cost consideration)
Desktop notifications
Wearable integrations
International messaging

3. Design Considerations¶

User Experience¶

Notification Philosophy: - Quality over Quantity: Every notification must provide value - Contextual Relevance: Right message, right time, right place - Actionable: One-tap to value - Delightful: Friendly, culturally aware tone - Respectful: Easy to control and customize

Personalization Levels: 1. Basic: Category preferences (movies, events, food) 2. Smart: Learning from interactions 3. Predictive: Anticipating needs 4. Autonomous: Acting on behalf

Control Framework: - Master on/off toggle - Category-specific controls - Time-based quiet hours - Location-based preferences - Frequency limiters

Technical Architecture¶

Delivery Infrastructure: - FCM for Android, APNs for iOS - Fallback to email for critical updates - Real-time event streaming - Queue management for scale

Intelligence Layer: - User behavior modeling - Engagement prediction - Optimal timing algorithm - A/B testing framework

Performance Targets: - Delivery within 2 seconds - 99.9% delivery success rate - <100ms to process triggers - Scale to 1M+ notifications/hour

Business Rules¶

Partnership Integration: - Partner-funded priority notifications - Revenue sharing on converted notifications - Exclusive deal alerts for premium users - Partner performance tracking

Engagement Metrics: - Click-through rate by type - Conversion to booking - Time to action - Opt-out rates

Content Guidelines: - Culturally sensitive messaging - Multi-language support (English + regional) - Emoji usage for visual appeal - Clear value proposition

4. Validation¶

Success Metrics¶

Primary KPIs: - Engagement Rate: 40%+ open rate (industry avg 20%) - Conversion Rate: 15%+ click to transaction - Retention Impact: 2x DAU for notification-enabled users - Opt-out Rate: <5% monthly

User Satisfaction: - Relevance Score: 8+/10 in user surveys - NPS Impact: +20 points for engaged users - Feature Requests: <10% want fewer notifications

Business Impact: - Revenue Attribution: 30%+ transactions from notifications - Partner Satisfaction: 80%+ happy with notification performance - Cost Efficiency: <$0.01 per conversion

Technical Validation¶

Reliability Testing: - Load testing to 10M notifications/day - Delivery confirmation tracking - Failover mechanism testing - Cross-platform compatibility

Intelligence Validation: - A/B test timing algorithms - Measure prediction accuracy - Engagement model validation - Personalization effectiveness

5. Risks & Edge Cases¶

High Risk¶

Notification Fatigue: - Risk: Users disable all notifications due to overload - Mitigation: Smart frequency capping, quality scoring, easy customization

Privacy Concerns: - Risk: Users uncomfortable with location/behavior tracking - Mitigation: Clear opt-in, transparent data use, granular controls

Medium Risk¶

Technical Delivery Issues: - Risk: Notifications delayed or not delivered - Mitigation: Multiple delivery channels, retry logic, monitoring

Content Relevance: - Risk: Poorly targeted notifications annoy users - Mitigation: Conservative initial targeting, rapid learning, user feedback

Edge Cases¶

Time Zone Changes: - Handling: Detect travel, adjust notification timing automatically

Group Notification Conflicts: - Handling: Smart deduplication when multiple triggers exist

Partner Deal Exhaustion: - Handling: Real-time inventory check before notification

Key User Flows¶

Smart Event Chain¶

User books movie for 7 PM Saturday
At 5 PM: "Movie in 2 hours - leave by 6:30 for parking"
At 6:45 PM: "Arrived? Popcorn combo deal at concession"
At 9 PM: "Movie ending soon - Taj Palace nearby has 20% off till 10 PM"
At 9:30 PM: "Table booked? Split the bill with Beet Pay for 2x points"
Next day: "Rate your experience, earn 50 Beet Bucks"

Cultural Event Discovery¶

System detects Diwali approaching
Two weeks before: "Diwali events are filling up - book now"
One week before: "Complete your Diwali - party, dinner, shopping deals"
Day before: "Tomorrow's schedule + parking tips + weather update"
Day of: Real-time updates and exclusive flash deals
After: "Share photos for bonus points + book next year early bird"

Group Coordination Flow¶

User views interesting event
Notification: "3 friends showed interest in similar events"
One-tap to create group plan
Friends get: "Raj wants to go to Comedy Night - you in?"
Auto-coordinate based on responses
Group booking confirmation with optimized seating

Partnership & Monetization¶

Notification Sponsorship Tiers¶

Premium Placement ($$$): - First notification of the day - Guaranteed delivery window - Rich media support - Detailed analytics

Standard Placement ($$): - Category exclusivity - Daily delivery guarantee - Basic analytics

Performance-Based ($): - Pay per conversion only - No upfront costs - Limited to excess inventory

Revenue Model¶

CPM for impressions: $50-100 per thousand targeted notifications
CPA for conversions: $2-5 per booking
Subscription Premium: Ad-free, priority notifications
Partner Co-funding: Split notification costs with merchants

Growth Strategies¶

Viral Loops: "Your friend just saved $20 - here's your exclusive deal"
FOMO Creation: "Only 5 tickets left for event you liked"
Social Proof: "100 people from your city are going"
Exclusive Access: "Notification subscribers get 1-hour early access"

AI & Software 3.0 Integration¶

Natural Language Control¶

"Only notify me about Telugu movies"
"Alert me for deals above 30% off"
"Remind me 3 hours before events"
"Pause notifications during work hours"

Predictive Intelligence¶

Learn optimal timing per user
Predict engagement probability
Anticipate life events
Suggest notification preferences

Agent Integration¶

Notifications can trigger autonomous actions
Agents can customize notification strategies
Cross-agent coordination for complex plans
Notification-based agent learning

Status: Planning Priority: High Target Release: Q1 2025 (MVP)