Predictive analytics that stop churn before it happens
Predict churn 7-14 days early with 70-90% accuracy. Deploy retention strategies before users leave.
Industry research
Why real-time analytics
matter for retention
Track behavior, not vanity metrics.
Reduce churn by 20-50%.
Most teams drown in dashboard fatigue with 50+ unactionable metrics (Gartner, 2024).
Nudj focuses on 3-5 North Star Metrics tied to decisions, not vanity metrics.
Machine learning models identify at-risk users with 93.3% AUC scores (MIT Sloan, 2023).
It's 5-25x cheaper to prevent churn than acquire new customers (Harvard Business Review).
Data-driven orgs see +10% revenue growth and 23x higher acquisition (McKinsey, 2023).
Track Loss Aversion retention, Variable Rewards engagement, Goal Gradient acceleration.
87% of AI projects fail due to bad data. 80% of data scientist time is spent on prep (Gartner).
Signal Detection Theory: Separate signal from noise with North Star Metrics.
Analytics capabilities
Complete engagement analytics toolkit
Real-time event tracking to AI-powered churn prediction. Cohort analysis reveals retention trends. Optimise acquisition and measure ROI.
Real-time event tracking
Live dashboard with <1 second latency
- User activity (46 events)
- Questions & content (12 events)
- Achievements & rewards (7 events)
- Profile & data (6 events)
- Sharing & referrals (8 events)
- Points & XP (4 events)
Predictive churn analytics
Ai-powered early warning system
- Individual risk scores updated daily
- Behavioral pattern detection
- Automated re-engagement recommendations
- Success prediction for interventions
Revenue attribution & ROI
Prove exact ROI for every challenge and reward
- User lifetime value (LTV) tracking
- Challenge-level revenue attribution
- Cohort revenue analysis
- Cost per acquisition optimization
User journey analytics
Cross-community pathways and engagement patterns
Performance benchmarking
Compare and optimise across communities
Custom report builder
No-code drag-and-drop interface
- Export to PDF, excel, CSV, JSON
- Scheduled delivery to slack/email
- No-code drag-and-drop interface
- Custom dashboard creation
Third-party integrations
Api-first design with full REST API access
- Posthog product analytics (feature usage, A/B testing)
- Google analytics (web analytics, traffic sources)
- Mixpanel event analytics (custom events, segmentation)
- Custom webhook integrations with bi-directional data sync
- Real-time event notifications
Behavioral science
Analytics powered by behavioral science
Understand not just what's happening, but why it works. Track the impact of every psychological trigger in real-time across gaming and retail.
Goal-setting theory
Locke & Latham, 1990
Specific goals + immediate feedback outperform vague goals by 10-25%.
- Real-time progress tracking with visual indicators that track goal gradient progress automatically
- Leaderboard position + points to next tier
- Streak analytics with historical trends
- Automated milestone alerts
2-3x engagement increases with goal-based analytics
Loss aversion
Kahneman & Tversky, 1979
Losses feel 2x more painful than equivalent gains. Frame metrics as losses to prevent.
- Churn risk alerts: 'you're at risk of losing 127 users'
- Streak break warnings for at-risk users
- Reward expiration notices with urgency
- Competitive position drops trigger action
40-60% higher action rates than gain-framed metrics
Cognitive load theory
Sweller, 1988
Working memory handles 7±2 chunks. Too many metrics cause decision paralysis.
- Focus on 3-5 north star metrics only
- Progressive disclosure: high-level → details
- Color-coded alerts for instant comprehension
- Visual hierarchy guides attention
40-60% faster decision-making with minimalist dashboards
Confirmation bias resistance
Kahneman & Tversky, 1973
65% of orgs use analytics to justify decisions, not discover truth.
- Built-in A/B testing with statistical significance
- Cohort analysis to identify long-term trends
- Automated anomaly detection with context
- Baseline comparisons prevent anchoring
2-3x better product outcomes with systematic testing
Real results
Real teams, measurable growth results
Gaming studios and retail brands reduce churn by 20-50% and prove loyalty program ROI with predictive analytics.
Mobile game losing 80% of players in first week
- 80% Day 7 churn rate (industry average: 75-80%)
- No insight into why users leave
- Can't justify $2M marketing spend
- Board threatening project cancellation
- AI Identified 30,000 at-risk users 7 days early
- Shortened onboarding from 10 → 5 steps (goal gradient)
- Added surprise rewards at day 3 (variable rewards)
- Surfaced friend leaderboards on day 1 (social proof)
E-commerce brand can't prove loyalty program ROI
- $800K/year loyalty program budget under CFO scrutiny
- No revenue attribution for challenges or rewards
- Can't prove member LTV is higher than non-members
- 77% of loyalty programs fail within 2 years
- Tracked loyalty member LTV: $240 vs non-member $85 (2.8x)
- Challenge-level attribution: summer challenge = 3.2x spending
- Identified 8,000 at-risk members for loss aversion campaigns
- Created visual ROI dashboard for CFO presentation
Platform integration
Unified analytics across your engagement platform
Unified analytics across gamification, rewards, and community. Sync to Salesforce, HubSpot, and custom platforms via REST API.
Gamification engine
Track goal gradient progress automatically with variable rewards engagement, XP velocity, leaderboard lift, and streak health metrics
Community engagement
Visualize the 90-9-1 participation ladder, UGC velocity, and social proof virality
Reward management
Calculate reward ROI, measure loss aversion urgency, and optimise prize ladders
Gaming industry
Compare portfolio retention, Arpdau, and Behavioral triggers across all titles
Retail & e-commerce
Attribute conversion lift to gamified drops and segment loyalty member LTV
User retention
Predict churn with 70-90% accuracy using predictive retention strategies and deploy streak-saving nudges automatically
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