Performance Analysis
Performance Analysis in Atom Commerce provides deep insights into how your promotional offers are performing, helping you optimize your discount strategy for maximum results.Understanding Offer Performance
Effective performance analysis helps you:- Identify your most successful discount strategies
- Understand which offers drive the most revenue
- Determine the true ROI of your promotional activities
- Spot trends and patterns in customer response
- Make data-driven decisions about future promotions
Performance Analysis Dashboard
Accessing the Dashboard
- Go to “Offer Optimizations” in the left navigation menu
- Select “Performance Analysis”
- View the main performance dashboard
Key Dashboard Components
The dashboard provides several important views:- Performance Overview: Summary metrics of all active offers
- Offer Comparison: Side-by-side analysis of different offer types
- Trend Analysis: Performance changes over time
- Top Performers: Your most successful offers by key metrics
- Opportunity Analysis: Areas for potential improvement
Key Performance Metrics
Revenue Impact Metrics
- Total Revenue: Overall sales generated from offers
- Incremental Revenue: Additional revenue attributed to offers
- Average Order Value (AOV): Average purchase amount with offers
- AOV Lift: Increase in average order value compared to non-offer purchases
Conversion Metrics
- Offer Conversion Rate: Percentage of offer views resulting in purchases
- Cart Conversion: Percentage of offers added to cart that convert to sales
- Add-to-Cart Rate: Frequency of offers being added to shopping carts
- Browsing-to-Purchase: Conversion from product browsing to completed purchase
Discount Efficiency Metrics
- Discount Percentage: Average discount provided across offers
- Return on Discount Investment (RODI): Revenue generated per dollar discounted
- Discount Depth Analysis: Performance by discount percentage tiers
- Margin Impact: Effect of discounts on product margins
Customer Behavior Metrics
- New vs. Returning Customers: How different customer types respond
- Repurchase Rate: Frequency of repeat purchases after offer redemption
- Cart Size: Number of items in carts with offers
- Browse Time: Time spent shopping with active offers
Performance Analysis Tools
Offer Performance Comparison
Compare different offers side-by-side:- Go to “Performance Analysis” > “Offer Comparison”
- Select the offers you want to compare
- Choose metrics for comparison
- View the comparative performance chart
- Export results if needed
Time-Based Analysis
Track performance changes over time:- Navigate to “Performance Analysis” > “Trend Analysis”
- Select offers to analyze
- Choose your time period and granularity (daily, weekly, monthly)
- View performance trends with trend lines and moving averages
- Identify seasonal patterns or performance shifts
Discount Type Analysis
Compare performance across different discount structures:- Go to “Performance Analysis” > “Discount Type Performance”
- View aggregated performance by discount type (percentage, fixed, BXGY, etc.)
- Compare conversion rates, AOV, and revenue across types
- Identify which discount structures work best for your store
Product Performance
See how offers affect specific product performance:- Navigate to “Performance Analysis” > “Product Impact”
- Select products or collections to analyze
- View how different offers affect product sales
- Identify which products respond best to promotions
Creating Custom Analysis Reports
Build tailored reports for your specific needs:- Go to “Performance Analysis” > “Custom Reports”
- Click “Create New Report”
- Select metrics and dimensions to include
- Choose visualization types (charts, tables, heat maps)
- Save your custom report for future reference
- Schedule automated delivery if desired
Performance Insights
Automated Insights
Atom Commerce automatically identifies important patterns:- Key Findings: Automatically highlighted significant trends
- Anomaly Detection: Identification of unusual performance patterns
- Opportunity Alerts: Notification of potential optimization opportunities
- Predictive Insights: Projections based on current performance
Viewing Insights
Access system-generated insights:- Go to “Performance Analysis” > “Insights Feed”
- View the latest generated insights
- Filter insights by category or importance
- Take recommended actions based on insights
Exporting Analysis Data
Share performance data with your team:- From any analysis view, click the “Export” button
- Select your preferred format (CSV, Excel, PDF)
- Choose which metrics and charts to include
- Add optional notes or explanations
- Download or email the export
Setting Performance Goals
Establish benchmarks to measure success:- Navigate to “Performance Analysis” > “Goals”
- Click “Create New Goal”
- Select the metric to track (conversion rate, revenue, etc.)
- Set your target value
- Define the timeframe
- Save your goal
Performance Analysis Best Practices
- Compare Similar Time Periods: Account for seasonal variations
- Look Beyond Conversion Rate: Consider revenue and profit metrics
- Segment Your Analysis: Break down performance by customer type, device, etc.
- Consider External Factors: Account for market conditions, competitors, etc.
- Focus on Trends: Pay attention to directional changes over time
- Use Multiple Metrics: Don’t rely on a single measurement
Performance Optimization Workflow
Implement a continuous improvement process:- Analyze Current Performance: Identify strengths and weaknesses
- Develop Hypotheses: Form theories about potential improvements
- Test Changes: Implement changes based on your hypotheses using optimization groups
- Measure Results: Analyze outcomes
- Implement Improvements: Apply successful changes
- Repeat the Process: Continue refining your approach