Platform Analytics

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Analytics Overview

As a Master Administrator, you have access to comprehensive analytics across the entire platform. Use these insights to:

• 📈 Track growth and adoption
• 💰 Monitor revenue and credit flow
• 🎯 Identify top-performing partners and styles
• 🔍 Detect issues and anomalies
• 🛠️ Make data-driven decisions

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Accessing Analytics

Analytics data is distributed across several dashboard views:

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Overview Tab

Provides high-level platform metrics:

• System Pulse status
• Total partners, events, users
• Credits in circulation
• Recent activity logs

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Partners Tab

Partner-specific analytics:

• Partner count (active vs. inactive)
• Total events across network
• Credits in channels (unallocated)
• Average consumption ratio

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B2C Tab

End-user analytics:

• Total B2C users
• Active users (30-day)
• Revenue this month
• Average credits per user

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Styles Tab

Style performance data:

• Total style count
• Most-used styles
• Style categories popularity
• Inactive styles

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Logs Tab

Activity audit trail:

• User actions
• System events
• Error tracking
• Transaction history

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Key Performance Indicators (KPIs)

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Platform Health KPIs

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Growth KPIs

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Financial KPIs

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Engagement KPIs

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Interpreting Dashboard Metrics

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Partners Tab Analytics

“Partners Activos” Card:

• Shows count of non-deactivated partners
• Compare to last month (growth/churn)
• Goal: Steady increase

“Total Eventos Red” Card:

• Sum of all events across all partners
• Indicates platform usage volume
• Goal: 10-20% MoM growth

“Créditos en Canales” Card:

• Total unallocated partner credits (liability)
• Represents purchased but not consumed credits
• High number = good (revenue), but watch consumption

“Ratio de Consumo” Card:

• Average credit usage across partners
• Formula: (Sum of all partner credits_used) / (Sum of all partner credits_total) × 100
• Ideal range: 60-80%
  • < 50%: Partners buying but not using (training issue?)

  • 90%: High engagement (opportunity to upsell)

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B2C Tab Analytics

“Total B2C Users” Card:

• Count of all end-user accounts
• Track growth rate month-over-month

“Active Users (30d)” Card:

• Users with ≥ 1 generation in last 30 days
• Calculate activation rate: Active / Total × 100
• Target: ≥ 25-30%

“Revenue This Month” Card:

• Sum of B2C credit purchases this calendar month
• Compare to previous months
• Track seasonality

“Avg Credits Per User” Card:

• Total credits purchased / Number of users
• Indicates spending behavior
• Segment users by spending tier

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Custom Reports & Exports

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Exporting Data

Available Exports (Request from Dev):

1. Partner List CSV:
   • Columns: ID, Name, Email, Credits Total, Credits Used, Event Count, Active Status, Created Date
   • Use: Accounting, partner outreach lists
2. Transaction Log CSV:
   • Columns: Date, Actor, Action Type, Amount, Description
   • Use: Financial reconciliation, audit compliance
3. Event List CSV:
   • Columns: Event ID, Name, Slug, Partner, Client, Credits Allocated, Credits Used, Generations Count, Created Date
   • Use: Event analysis, partner performance
4. Generation Stats CSV:
   • Columns: Generation ID, Event, User, Style, Timestamp, Status
   • Use: Usage patterns, style popularity
5. Style Usage CSV:
   • Columns: Style ID, Name, Category, Usage Count, Last Used
   • Use: Style curation, retirement decisions

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Building Custom Dashboards

For advanced analytics: Option 1: Database Access

• Request read-only database credentials
• Connect BI tool (Tableau, Power BI, Metabase)
• Build custom queries and visualizations

Option 2: API Integration

• Request API keys with analytics scope
• Pull data programmatically
• Build custom dashboards in React, Vue, etc.

Option 3: Google Sheets Integration

• Use Zapier or Make.com to sync data
• Create live dashboards in Google Sheets
• Share with team members

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Analyzing Trends

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Seasonal Patterns

Weddings:

• Peak: May-October (Northern Hemisphere)
• Low: November-March
• Plan capacity and marketing accordingly

Corporate Events:

• Peak: September-November (conferences, year-end)
• Low: July-August (vacations)
• Target Q3-Q4 for sales pushes

Holidays:

• Spikes: Christmas parties (Dec), New Year (Jan), Valentine’s (Feb)
• Plan promotions around these dates

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User Behavior Insights

From Logs:

• Peak usage times (evenings, weekends for B2C)
• Average session duration
• Drop-off points (where users abandon)

From Generation Data:

• Popular styles (prioritize in UI)
• Style pack preferences by event type
• Quality issues (styles with high deletion rate)

From Financial Data:

• Average credit purchase size
• Repeat purchase rate
• Price sensitivity (test promotions)

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Performance Benchmarks

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Platform Benchmarks (Target Ranges)

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Partner Segmentation

By Activity Level:

• Power Partners: ≥ 10 events/month, ≥ 80% credit usage
• Active Partners: 3-9 events/month, 50-80% usage
• Occasional Partners: 1-2 events/month, < 50% usage
• Dormant Partners: 0 events in 90 days

Actions by Segment:

• Power Partners: VIP support, early access to features, volume discounts
• Active Partners: Standard support, upsell opportunities
• Occasional Partners: Re-engagement campaigns, training offers
• Dormant Partners: Win-back campaigns, feedback surveys, consider deactivation

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Alerting & Monitoring

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Critical Alerts to Set Up

System Alerts:

• 🚨 System Pulse turns red (immediate)
• 🚨 Error rate > 5% (within 5 minutes)
• 🚨 Database connection failures (immediate)
• 🚨 API service outages (immediate)

Business Alerts:

• 💬 Daily summary email (stats, new partners, top events)
• 💬 Low credit warning for partners (< 10% remaining)
• 💬 New partner applications (within 1 hour)
• 💬 High-value transactions (> $500 credit purchase)

Security Alerts:

• 🔒 Unusual login patterns (multiple failed attempts)
• 🔒 Bulk deletions or data exports
• 🔒 Unauthorized API access attempts

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Best Practices

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Daily Reviews

• ✅ Check System Pulse (green?)
• ✅ Review overnight Logs for errors
• ✅ Approve new partner applications
• ✅ Respond to support tickets

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Weekly Reviews

• 📅 Compare current week to last week (growth?)
• 📅 Identify top-performing partners (recognize them)
• 📅 Review inactive partners (re-engage)
• 📅 Analyze style usage (retire unpopular styles)

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Monthly Reviews

• 📊 Calculate MoM growth for all KPIs
• 📊 Export data for accounting/reporting
• 📊 Conduct partner performance reviews
• 📊 Plan next month’s marketing/sales strategy

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Quarterly Reviews

• 📈 Deep-dive analysis (trends, seasonality)
• 📈 Roadmap planning (features, infrastructure)
• 📈 Financial forecasting
• 📈 Team retrospectives

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Next Steps