Analytics & insights

Predictive analytics that stop churn before it happens

Predict churn 7-14 days early with 70-90% accuracy. Deploy retention strategies before users leave.

70-90%
Churn accuracy
<1 sec
Real-time tracking
5.2x
Average ROI
7-14 day predictions150+ event typesReal-time dashboard
Nudj analytics dashboard showing real-time engagement metrics and churn predictions
70-90%
Churn accuracy
<1 sec
Real-time tracking
5.2x
Average ROI

Industry research

Why real-time analytics
matter for retention

Track behavior, not vanity metrics.
Reduce churn by 20-50%.

Only 12%
of companies have optimized real-time analytics
The problem

Most teams drown in dashboard fatigue with 50+ unactionable metrics (Gartner, 2024).

Nudj's approach

Nudj focuses on 3-5 North Star Metrics tied to decisions, not vanity metrics.

70-90%
accuracy in AI churn prediction
The problem

Machine learning models identify at-risk users with 93.3% AUC scores (MIT Sloan, 2023).

Nudj's approach

It's 5-25x cheaper to prevent churn than acquire new customers (Harvard Business Review).

20-50%
economic gains from data-driven customer experience
The problem

Data-driven orgs see +10% revenue growth and 23x higher acquisition (McKinsey, 2023).

Nudj's approach

Track Loss Aversion retention, Variable Rewards engagement, Goal Gradient acceleration.

$13M-15M
annual cost of poor data quality per organization
The problem

87% of AI projects fail due to bad data. 80% of data scientist time is spent on prep (Gartner).

Nudj's approach

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

150+
Event types
<1s
Latency
8
Categories
  • User activity (46 events)
  • Questions & content (12 events)
  • Achievements & rewards (7 events)
  • Profile & data (6 events)
  • Sharing & referrals (8 events)
  • Points & XP (4 events)
View API documentation →
Real-time event tracking
Predictive churn analytics

Predictive churn analytics

Ai-powered early warning system

70-90%
Accuracy
7-14 days
Early detection
Daily
Update frequency
  • Individual risk scores updated daily
  • Behavioral pattern detection
  • Automated re-engagement recommendations
  • Success prediction for interventions
View API documentation →
Revenue attribution & ROI

Revenue attribution & ROI

Prove exact ROI for every challenge and reward

5.2x
Average ROI
Challenge-level
Attribution
Cohort-based
Analysis
  • User lifetime value (LTV) tracking
  • Challenge-level revenue attribution
  • Cohort revenue analysis
  • Cost per acquisition optimization
View API documentation →
User journey analytics

User journey analytics

Cross-community pathways and engagement patterns

Cross-community user pathways tracking
Engagement pattern analysis
80%+ retention with seasonal campaigns
Conversion funnel tracking
User segmentation and behavior insights
View API documentation →
Performance benchmarking

Performance benchmarking

Compare and optimise across communities

Side-by-side community comparison metrics
Best practice identification from top performers
Growth opportunity analysis
Comparative challenge performance
Resource allocation insights
View API documentation →

Custom report builder

No-code drag-and-drop interface

40+
Metrics
25+
Dimensions
15+
Visualizations
Custom report builder
  • Export to PDF, excel, CSV, JSON
  • Scheduled delivery to slack/email
  • No-code drag-and-drop interface
  • Custom dashboard creation
View API documentation →

Third-party integrations

Api-first design with full REST API access

Third-party integrations
  • 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%.

How Nudj applies it
  • 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
Proven outcome

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.

How Nudj applies it
  • 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
Proven outcome

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.

How Nudj applies it
  • Focus on 3-5 north star metrics only
  • Progressive disclosure: high-level → details
  • Color-coded alerts for instant comprehension
  • Visual hierarchy guides attention
Proven outcome

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.

How Nudj applies it
  • Built-in A/B testing with statistical significance
  • Cohort analysis to identify long-term trends
  • Automated anomaly detection with context
  • Baseline comparisons prevent anchoring
Proven outcome

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.

Gaming

Mobile game losing 80% of players in first week

The problem
  • 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
Nudj playbook
  • 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)
Measured results
80% → 60%
Churn reduction
20pp improvement in D7 retention
$1M/year
Revenue impact
30K Recovered users × $2.80 LTV
45% → 68%
Onboarding completion
23pp improvement
8% → 41%
Social engagement
5x increase in leaderboard views
Retail

E-commerce brand can't prove loyalty program ROI

The problem
  • $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
Nudj playbook
  • 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
Measured results
5.2x
Program ROI
$800K → $4.16M incremental revenue
+$400K
Budget increase
CFO Approved 2-year extension
2,800 members
Churn recovery
65% retention vs 30% baseline
$672K
Annual savings
Recovered members × $240 LTV

Ready to drive real business results?

Join industry leaders using Nudj to reduce churn and increase customer lifetime value.