📱 Customer Usage Tracker Dashboard

Product Analytics & Adoption Monitoring | Adcount Technologies

Active Accounts Tracked
2,500+
↑ 18% YoY
Daily Product Events
250K+
Real-time processing
Features Monitored
50+
Adoption & stickiness
Power Users (Top 10%)
350
66% expansion potential

Platform Engagement Overview

Daily Active Users (DAU) vs Monthly Active Users (MAU)

Usage Intensity Distribution

Top 10 Features - Adoption & Stickiness

📊

Advanced Reporting

78%

23.5K weekly users

↑ 12% engagement increase M/M

🔌

API Access

65%

18.2K weekly users

↑ 18% adoption growth

📈

Custom Dashboards

82%

28.9K weekly users

↑ Stickiest feature

🔐

SSO Integration

48%

12.1K weekly users

↑ Enterprise segment priority

🎨

White-Label Branding

52%

8.7K weekly users

↓ 3% adoption decline

⚙️

Workflow Automation

71%

19.8K weekly users

↑ 15% month-over-month

Customer Usage-Based Segmentation

⭐ Power Users (Top 10% by Engagement)

Count
350
Avg Features Used
38 of 50
Retention Rate
96%
NRR
142%

Characteristics: Heavy feature adoption, frequent API usage, custom workflows, high engagement with new releases
Opportunity: 66% expansion potential - upsell premium add-ons, enterprise features
Action: Dedicated success manager, early access to beta features, executive reviews

📈 Growing Users (Mid-Tier Engagement)

Count
1,125
Avg Features Used
18 of 50
Retention Rate
82%
Churn Risk
Low

Characteristics: Steady usage growth, exploring advanced features, responsive to training
Opportunity: Increase feature adoption through education & engagement
Action: Feature training webinars, in-app guidance, personalized recommendations

⚠️ At-Risk Users (Declining Usage)

Count
385
Feature Adoption Trend
↓ 20% MoM
Retention Risk
HIGH
Recovery Potential
$180K ARR

Characteristics: Declining feature usage, reducing engagement frequency, low adoption of new releases
Intervention: Automated churn alerts, CS outreach, custom nurture campaigns, root cause analysis
Results: 35% recovery rate through targeted engagement, $180K+ annual impact

Usage Trends & Growth Patterns

Monthly Active Users (MAU) Trend

Customer Segment Distribution

💡 Business Impact & Key Achievements

Engineered comprehensive usage tracking for 2,500+ accounts, monitoring 50+ features with 250K+ daily events captured in real-time
Identified "Power Users" (top 10%, 350 customers) with 96% retention and 142% NRR—high-value expansion segment worth $180K+ revenue
Discovered feature impact insights: Advanced Reporting & SSO improve retention by 14-18%, informing roadmap prioritization
Flagged 385 at-risk customers with >20% MoM adoption decline, enabling targeted win-back campaigns and 35% recovery rate ($180K+ annual impact)
Segmentation-based CS strategies improved product-market fit: Power User NRR of 142% vs. baseline 108%
Reduced support escalations by 28% through usage-based early warning system identifying friction points

Technical Implementation & Data Flow

Component Technology Responsibility
Event Ingestion Segment / Custom SDK Capture 250K+ daily events from product (feature usage, session data, actions)
Data Processing Apache Kafka + Python Real-time streaming pipeline with 99.2% data accuracy
Warehouse Snowflake + dbt Dimension tables: Users, Features, Sessions | Fact tables: Feature_Usage, Funnel_Events
Analytics Python + SQL Cohort analysis, funnel analysis, feature adoption curves, segmentation models
Visualization Metabase / Looker Executive dashboards, product health scorecards, alert mechanisms
ML Models scikit-learn + XGBoost Churn prediction (82% accuracy), power user identification, feature recommendation

Portfolio Project: Mahesh Kurapati | Customer Usage Tracker - Adcount Technologies | Dec 2021 – Apr 2023