Available Explorers
There are 2 main explorers available in PureClarity:1. Product Explorer
View a product’s performance, popularity, related purchases & viewings and conversion rate.
- Performance Metrics: Track how individual products are performing
- Popularity Analysis: See which products are trending and engaging customers
- Related Purchases: Understand what products are bought together
- Related Viewings: Analyze which products are viewed in the same sessions
- Conversion Rates: Monitor how well products convert browsers into buyers
2. User Explorer
The User Explorer shows what is held about a user and also gives you privacy tools to comply with GDPR.
- User Profiles: View comprehensive customer data and behavior patterns
- Privacy Compliance: GDPR tools for data management and user rights
- Behavior Analysis: Understand individual customer journeys
- Segmentation Insights: See which segments users belong to
- Data Management: Tools for handling user data requests
For detailed information about the User Explorer, see our User Explorer article.
Product Explorer Deep Dive
Performance Analytics
Conversion Metrics:- View-to-purchase conversion rates
- Add-to-cart rates
- Revenue attribution
- Performance trends over time
- Page view counts
- Time spent on product pages
- Click-through rates from recommendations
- Search result rankings
Relationship Analysis
Product Affinity:- Frequently Bought Together: Products that are purchased in the same order
- Frequently Viewed Together: Products viewed in the same session
- Cross-sell Opportunities: Related products that drive additional sales
- Upsell Potential: Higher-value alternatives customers consider
Strategic Insights
Optimization Opportunities:- Identify underperforming products that need attention
- Discover high-potential products for promotion
- Find products that work well as recommendations
- Analyze seasonal performance patterns
User Explorer Deep Dive
Customer Profiles
Behavioral Data:- Browsing history and patterns
- Purchase history and preferences
- Interaction with campaigns and recommendations
- Session duration and engagement metrics
- Which segments the user belongs to
- Segment behavior patterns
- Personalization targeting criteria
- Campaign engagement history
Privacy and Compliance
GDPR Tools:- Data Export: Generate comprehensive user data reports
- Data Deletion: Remove user data upon request
- Consent Management: Track and manage user consent preferences
- Access Rights: Provide users with their stored data
- Anonymization Options: Remove personally identifiable information
- Data Retention Controls: Manage how long data is stored
- Audit Trails: Track data access and modifications
- Compliance Reporting: Generate reports for regulatory requirements
Using Data Explorers for Optimization
Performance Analysis
Regular Monitoring:- Weekly performance reviews of top products
- Monthly analysis of user behavior trends
- Seasonal pattern identification
- Campaign performance correlation
- Identify products that need better positioning
- Find opportunities for new product recommendations
- Discover gaps in your personalization strategy
- Optimize user journey touchpoints
Strategic Decision Making
Product Strategy:- Inventory Management: Focus on high-performing products
- Pricing Optimization: Analyze conversion rates vs. price points
- Category Performance: Understand which categories drive engagement
- New Product Launches: Learn from successful product patterns
- Segmentation Refinement: Create more targeted customer groups
- Personalization Enhancement: Improve recommendation accuracy
- Campaign Optimization: Target campaigns based on user insights
- Retention Strategies: Identify and address churn risk factors
Best Practices
Regular Analysis
Frequency Recommendations:- Daily: Monitor key performance indicators
- Weekly: Review product performance trends
- Monthly: Conduct comprehensive user behavior analysis
- Quarterly: Strategic review and optimization planning
Data-Driven Decisions
Analysis Framework:- Identify Patterns: Look for trends and anomalies in the data
- Form Hypotheses: Develop theories about what the data means
- Test Assumptions: Use A/B testing to validate insights
- Implement Changes: Apply learnings to optimization strategies
- Measure Results: Track the impact of your changes
Integration with Other Features
Campaign Enhancement
Use explorer insights to:- Target Campaigns: Create more effective customer segments
- Product Selection: Choose products with proven performance
- Timing Optimization: Launch campaigns when engagement is highest
- Performance Prediction: Estimate campaign success based on historical data
Analytics Correlation
Connect explorer data with:- Overall Analytics: See how individual insights fit into broader trends
- Revenue Attribution: Understand how product performance impacts revenue
- Customer Lifetime Value: Analyze long-term customer behavior patterns
- ROI Measurement: Calculate return on personalization investments
Getting Started
To maximize the value of Data Explorers:- Start with Product Explorer: Identify your top and bottom performing products
- Analyze User Patterns: Use User Explorer to understand customer behavior
- Look for Correlations: Find relationships between product and user data
- Create Action Plans: Develop strategies based on your findings
- Monitor Changes: Track the impact of your optimization efforts
Data Explorers are powerful tools for understanding your business, but they’re most effective when used as part of a comprehensive analytics and optimization strategy.