Dashboard Overview - Understanding your analytics dashboard
Written By Ashish Mishra
Last updated 7 months ago
Analytics Dashboard Guide
The ThirdEye AI analytics dashboard provides comprehensive insights into your brand's AI presence, competitive positioning, and performance trends. This guide will help you understand every metric and use the dashboard effectively for strategic decision-making.
Dashboard Overview
Main Dashboard Sections
Executive Summary Cards - Key performance indicators at a glance
Trend Analysis Charts - Historical performance and patterns
Competitive Intelligence - Market positioning and share of voice
Platform Performance - AI platform-specific insights
Content Analysis - Mention themes and sentiment drivers
Action Items - AI-generated recommendations
Executive Summary Cards
Total Mentions Card
What it shows: Complete count of brand mentions across all AI platforms
π Total Mentions
2,847 mentions
β 12% vs last period
π 7-day trend: +15%
Key Metrics:
Primary Count: Total mentions in selected time period
Period Comparison: Growth vs previous equivalent period
Trend Indicator: Recent 7-day trajectory
Growth Rate: Percentage change calculation
Interpreting the Data:
Healthy Growth: 5-20% month-over-month
Rapid Growth: >20% increase (investigate causes)
Decline: <0% (requires immediate attention)
Stagnant: 0-5% (may indicate market saturation)
Action Triggers:
Sudden Spikes: Check for viral content, news coverage, or crisis
Steady Decline: Review content strategy and competitor activity
Flat Growth: Consider new marketing initiatives or prompt optimization
Sentiment Score Card
What it shows: Average sentiment across all brand mentions
π Sentiment Score
78.5%
β 3.2% vs last period
Distribution: 65% Positive, 28% Neutral, 7% Negative
Sentiment Scale:
90-100%: Exceptional (rare, investigate for sustainability)
75-89%: Excellent (strong positive brand perception)
60-74%: Good (healthy brand sentiment)
45-59%: Concerning (needs attention and improvement)
0-44%: Critical (immediate action required)
Sentiment Breakdown:
Positive (70-100%): Recommendations, praise, positive comparisons
Neutral (30-69%): Factual mentions, balanced comparisons
Negative (0-29%): Complaints, criticism, negative comparisons
Industry Benchmarks:
SaaS/Technology: 70-80% average
Consumer Products: 65-75% average
Financial Services: 60-70% average
Healthcare: 75-85% average
Share of Voice Card
What it shows: Your brand mentions as percentage of total market conversation
π’ Share of Voice
23.4%
β 2.1% vs last period
Rank: #2 in category
Calculation:
Share of Voice = Your Mentions / (Your Mentions + All Competitor Mentions) Γ 100
Market Position Indicators:
Market Leader: 35%+ share of voice
Strong Player: 20-35% share
Challenger: 10-20% share
Niche Player: 5-10% share
Emerging: <5% share
Competitive Context:
Rank: Your position among tracked competitors
Gap to Leader: Percentage points behind market leader
Growth vs Competition: How your growth compares to market
AI Traffic Card
What it shows: Website traffic attributed to AI platform recommendations
π€ AI Traffic
1,247 visits
β 18% vs last period
Conversion Rate: 2.3%
Traffic Attribution:
Direct Links: URLs mentioned in AI responses
Search Behavior: Users searching after AI recommendation
Referral Traffic: Clicks from AI platform interfaces
Brand Awareness Lift: Increased organic traffic after AI mentions
Conversion Metrics:
Conversion Rate: Percentage of AI-referred visitors who convert
Average Session Duration: Engagement level of AI-referred traffic
Bounce Rate: Single-page visits from AI traffic
Revenue Attribution: Sales attributed to AI-driven awareness
Trend Analysis Charts
Mention Volume Trend
Visual: Line chart showing mention counts over time
Chart Features
Time Ranges:
- 24 hours (real-time monitoring)
- 7 days (weekly trend analysis)
- 30 days (monthly performance)
- 90 days (quarterly trends)
- 1 year (annual patterns)
Display Options:
- Line chart (trend focus)
- Bar chart (period comparison)
- Stacked chart (platform breakdown)
- Comparative view (vs competitors)
Pattern Recognition
Cyclical Patterns:
- Day-of-week variations (B2B higher midweek)
- Seasonal trends (holiday impacts, business cycles)
- Event-driven spikes (conferences, product launches)
- Algorithm changes (platform update impacts)
Growth Patterns:
- Organic growth (steady upward trend)
- Viral growth (exponential spikes)
- Plateau patterns (market saturation indicators)
- Decline patterns (competitive threats, market shifts)
Sentiment Trend Analysis
Visual: Line chart with sentiment percentage over time
Sentiment Indicators
Trend Lines:
- Overall sentiment trajectory
- Positive mention percentage
- Negative mention clustering
- Neutral mention baseline
Moving Averages:
- 7-day rolling average (smooth short-term fluctuations)
- 30-day trend (strategic sentiment direction)
- Seasonal adjustment (account for cyclical patterns)
Alert Zones:
- Green Zone: >75% positive sentiment
- Yellow Zone: 60-75% (monitor closely)
- Red Zone: <60% (action required)
Sentiment Correlation Analysis
External Factor Correlation:
- Product releases vs sentiment changes
- PR campaigns vs sentiment improvement
- Competitive actions vs sentiment impact
- Market events vs sentiment volatility
Internal Factor Analysis:
- Content marketing impact on sentiment
- Customer success initiatives correlation
- Product updates sentiment response
- Support quality sentiment relationship
Competitive Share of Voice
Visual: Stacked area chart showing market share evolution
Market Dynamics Visualization
Competitive Landscape:
- Your brand share trajectory
- Top competitor performance
- Market leader stability
- Emerging threat identification
Market Events Impact:
- Product launch effects on share
- Competitive campaign impacts
- Market expansion opportunities
- Defensive position requirements
Competitive Intelligence Section
Competitor Performance Matrix
What it shows: Multi-dimensional competitor comparison
Competitor Analysis Grid:
Mentions Sentiment Growth Position
Your Brand 2,847 78% +12% #2
Competitor A 4,251 72% +8% #1
Competitor B 1,943 81% +25% #3
Competitor C 1,156 69% -5% #4
Competitive Insights
Strengths Analysis:
- Where you outperform competitors
- Unique positioning advantages
- Sentiment leadership areas
- Growth rate advantages
Weakness Identification:
- Competitor advantages to address
- Market gaps to fill
- Positioning improvements needed
- Growth opportunities missing
Threat Assessment:
- Fast-growing competitors
- Sentiment advantages of rivals
- Market share losses
- Emerging competitive threats
Head-to-Head Comparisons
Visual: Direct comparison charts for key competitors
Comparison Metrics
Direct Comparison Analysis:
- Mention volume comparison
- Sentiment score differences
- Platform performance variations
- Feature association analysis
Win/Loss Tracking:
- Scenarios where you're preferred
- Competitive advantages highlighted
- Areas needing improvement
- Market perception gaps
Platform Performance Analysis
AI Platform Breakdown
Visual: Pie chart and performance metrics by platform
Platform Distribution:
ChatGPT: 45% (1,280 mentions) - Sentiment: 76%
Claude: 28% (798 mentions) - Sentiment: 82%
Gemini: 18% (512 mentions) - Sentiment: 71%
GPT-4: 7% (199 mentions) - Sentiment: 85%
Perplexity: 2% (58 mentions) - Sentiment: 79%
Platform-Specific Insights
Platform Optimization Opportunities:
- Underperforming platforms to target
- High-sentiment platforms to amplify
- Audience differences between platforms
- Content optimization by platform
Performance Benchmarks:
- Platform mention volume expectations
- Sentiment performance by platform
- Competitive positioning per platform
- Growth opportunities identification
Platform Audience Analysis
What it shows: How different platforms serve different user types
Audience Characteristics:
ChatGPT: General consumers, small business, creative
Claude: Enterprise, developers, analysts
Gemini: Google ecosystem users, mobile-first
GPT-4: Power users, technical professionals
Perplexity: Researchers, journalists, academics
Content Analysis Section
Mention Theme Analysis
Visual: Word cloud and topic clustering
Common Mention Themes
Positive Themes:
- "Easy to use" (247 mentions)
- "Great customer support" (189 mentions)
- "Affordable pricing" (156 mentions)
- "Reliable platform" (134 mentions)
Negative Themes:
- "Limited features" (23 mentions)
- "Steep learning curve" (18 mentions)
- "Pricing concerns" (15 mentions)
Neutral Themes:
- "Good alternative to [competitor]" (98 mentions)
- "Works well for small business" (87 mentions)
Content Gap Analysis
Missing Themes:
- Features competitors get mentioned for
- Use cases where you're absent
- Positioning angles to develop
- Content opportunities identified
Feature Attribution Analysis
What it shows: Which features AI associates with your brand
Feature Mentions:
Top Associated Features:
1. User-friendly interface (34% of mentions)
2. Customer support quality (28% of mentions)
3. Integration capabilities (22% of mentions)
4. Pricing/value proposition (18% of mentions)
5. Mobile accessibility (15% of mentions)
Competitor Feature Advantages:
- Advanced reporting (Competitor A leads)
- Enterprise features (Competitor B leads)
- Automation capabilities (Competitor C leads)
Advanced Analytics Features
Predictive Analytics
What it shows: AI-powered forecasting and trend prediction
Trend Forecasting
Mention Volume Prediction:
- Next 30-day mention forecast
- Seasonal adjustment factors
- Growth trajectory projection
- Confidence intervals
Sentiment Forecasting:
- Sentiment trend prediction
- Risk factor identification
- Improvement opportunity timing
- Intervention recommendation points
Competitive Intelligence Forecasting
Market Position Prediction:
- Share of voice trajectory
- Competitive threat assessment
- Market opportunity identification
- Strategic timing recommendations
Custom Analytics
What it shows: User-defined metrics and KPIs
Custom Metric Builder
Business-Specific KPIs:
- Lead generation attribution
- Customer acquisition cost impact
- Brand awareness lift measurement
- Campaign effectiveness tracking
Custom Segmentation:
- Geographic performance analysis
- Industry vertical breakdown
- Customer segment analysis
- Product line performance
Dashboard Customization
Layout Customization
Widget Management
Customizable Elements:
- Rearrange dashboard sections
- Hide/show specific metrics
- Resize charts and graphs
- Create custom views for different roles
Role-Based Dashboards
Executive Dashboard:
- High-level KPIs only
- Strategic insights focus
- Competitive intelligence summary
- Action item prioritization
Marketing Dashboard:
- Campaign performance correlation
- Content effectiveness analysis
- Competitive positioning details
- Optimization recommendations
Sales Dashboard:
- Lead generation attribution
- Competitive win/loss analysis
- Feature positioning insights
- Opportunity identification
Time Range and Comparison Settings
Time Period Options
Standard Ranges:
- Last 24 hours (real-time monitoring)
- Last 7 days (weekly performance)
- Last 30 days (monthly analysis)
- Last 90 days (quarterly trends)
- Last 12 months (annual patterns)
Custom Ranges:
- Specific date ranges
- Campaign periods
- Product launch windows
- Seasonal comparisons
Comparison Baselines
Comparison Options:
- Previous period (same duration)
- Year-over-year (seasonal adjustment)
- Custom baseline period
- Industry benchmarks
- Competitor performance
Performance Optimization
Dashboard Performance Tips
Data Loading Optimization
Fast Loading Strategies:
- Use shorter time ranges for real-time analysis
- Cache frequently viewed data
- Optimize query complexity
- Use summary views for overview analysis
Analysis Efficiency
Efficient Analysis Workflow:
1. Start with executive summary
2. Identify anomalies or trends
3. Drill down into specific areas
4. Cross-reference with external factors
5. Develop action plans based on insights
Best Practices for Dashboard Usage
Daily Monitoring (5 minutes)
Daily Checklist:
β‘ Check key metric changes
β‘ Review recent mention activity
β‘ Identify any alert-worthy changes
β‘ Note competitive activity
β‘ Plan immediate responses if needed
Weekly Analysis (30 minutes)
Weekly Review Process:
β‘ Analyze trend patterns
β‘ Compare competitor performance
β‘ Review campaign correlation
β‘ Identify optimization opportunities
β‘ Plan strategic adjustments
Monthly Strategic Review (2 hours)
Monthly Analysis Deep-Dive:
β‘ Comprehensive performance assessment
β‘ Competitive landscape evolution
β‘ Market opportunity identification
β‘ Content strategy optimization
β‘ Resource allocation planning
Exporting and Sharing
Report Generation
Automated Reports
Report Types:
- Executive summary (PDF)
- Detailed analytics (Excel)
- Competitive intelligence (PowerPoint)
- Custom KPI reports (various formats)
Delivery Options:
- Email delivery
- Slack integration
- API endpoints
- Dashboard embedding
Custom Report Builder
Report Components:
- Select specific metrics
- Choose time ranges
- Include competitive data
- Add commentary and insights
- Brand with company logo
Next Steps:
Dashboard refresh: Every 15 minutes | Data latency: <1 hour | Export formats: PDF, Excel, PowerPoint, CSV