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PureClarity’s Product Attribution analytics page provides detailed insights into how PureClarity performs on your site, measuring revenue impact and customer engagement with personalized content.
Access this report by clicking Analytics in the left menu, then selecting Product Attribution from the dropdown list.

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Overview Dashboard

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Time Period Controls

Use the time period buttons above the graphs to adjust the date range. Each graph shows current period data alongside previous period comparisons with change indicators.

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Key Performance Metrics

The dashboard displays four primary graphs tracking PureClarity’s impact:

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Click Total Revenue

Measures: Revenue generated from PureClarity content interactions Interaction types:
  • Product clicks on PureClarity recommenders
  • Campaign content clicks attributed to products
  • Subsequent purchases of clicked products
This metric provides the best indication of revenue directly generated by PureClarity personalization.

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Click Total as % of Revenue

Measures: Click Total as percentage of overall site revenue Purpose: Shows PureClarity’s contribution to total business performance

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Orders Involving PureClarity

Measures: Number of orders where customers interacted with PureClarity content Insight: Customer engagement levels with personalization features

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% of Orders Involving PureClarity

Measures: Percentage of all orders that included PureClarity interactions Value: Overall penetration of personalization in customer journeys

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Comparative Analysis

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Average Order Value (AOV) Tracking

The system displays AOV statistics showing performance before and after PureClarity implementation.
Before PureClarity baseline:
  • Based on imported historical orders
  • Limited by available import timeframe
  • May not fully reflect pre-PureClarity performance
With PureClarity comparison:
  • AOV for orders involving recommender interactions
  • AOV for orders without PureClarity engagement
  • Clear performance differential visualization

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SKUs per Order Analysis

Tracking includes:
  • Average number of products per order (historical)
  • Current performance with recommender engagement
  • Performance without recommender interaction
  • Cross-selling effectiveness measurement
Compare AOV and SKU metrics to understand PureClarity’s impact on both order value and basket size.

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Order-Level Analysis

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Detailed Order Information

Below the summary graphs, view comprehensive order details for all PureClarity-involved transactions: Order display format:
  • Order ID and date
  • Customer information (when available)
  • Revenue attribution details
  • Campaign interaction data

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Individual Order Insights

Click any order to access detailed information: Campaign Details
  • Specific campaign customer interacted with
  • Campaign performance metrics
  • Attribution tracking data
Product Information
  • Individual SKU details for clicked products
  • Product performance analytics
  • Cross-selling success rates
Selecting campaigns or products links to dedicated performance reports for deeper analysis.

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Customer Intelligence

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Customer Profile Analysis

For orders with customer identification: Customer Metrics:
  • Total visits and order history
  • Last order date and frequency
  • Average products per order
  • Average order value
Personalization Insights:
  • Personalized recommendations for the customer
  • Engagement patterns and preferences
  • Customer journey analysis
Customer profiles include GDPR-relevant information. Ensure proper handling of personal data according to privacy regulations.

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Customer Behavior Patterns

Available analytics:
  • Purchase frequency trends
  • Product category preferences
  • Seasonal buying patterns
  • Loyalty and retention indicators

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Data Export and Reporting

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CSV Export Functionality

Download comprehensive attribution data by clicking the Download CSV button on the main report page.
Export includes:
  • Complete order attribution data
  • Customer interaction details
  • Revenue impact measurements
  • Campaign performance metrics

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Report Usage

Best practices for data analysis:
  1. Regular monitoring - Review weekly performance trends
  2. Comparative analysis - Track period-over-period improvements
  3. Campaign optimization - Use insights to refine strategies
  4. Customer segmentation - Identify high-value interaction patterns

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Performance Optimization

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Key Insights for Improvement

Revenue optimization:
  • Identify top-performing campaigns and replicate strategies
  • Analyze underperforming content for optimization opportunities
  • Track seasonal trends for campaign timing
Customer engagement:
  • Monitor interaction rates across different content types
  • Optimize recommender placement based on click data
  • Refine targeting based on successful attribution patterns
Use attribution data to demonstrate PureClarity’s ROI and guide strategic decisions for enhanced personalization performance.