Explore by Use Case
Omnichannel Performance
Customer Lifetime Value
Paid Media Performance
Shopper Lifecycle and Activation
Order Lifecycle
Merchandising Performance
Operating Profitability
Omnichannel Performance 
To automate executive Weekly Business Review (WBR) data models and reports, SoundCommerce provides:
- Brick & Mortar Store Performance: WoW, YoY
- Owned/DTC Commerce Performance
- Amazon Marketplace Performance
- New vs. Existing Customer Engagement
- Cross-Channel and Paid Media Performance
- Order Lifecycle including Cancellations, Returns and Shipping Latency
- Order Unit Economics including Variable Cost and Contribution Profitability
Executive Leaders
Data Analysts
Retail Operations
Marketers
IT & Data Teams
Customer Lifetime Value 
To support complete shopper profile data models and reports, SoundCommerce provides:
- Unified Shopper Profiles with Matched / Deduplicated Customer IDs (CuIDs)
- Complete Omnichannel Order History per Customer
- Full Visibility into Omnichannel Customer Returns and Exchanges
- Both Revenue and Profit Versions of Customer Lifetime Value (CLV)
- Accurate Direct and Burdened Cost-to-Acquire (CAC) per Shopper
- Repeat Purchase Analysis and Recommendations
- Recency, Frequency and Monetary Value (RFM) Shopper Analysis
- Email and SMS Engagement by Campaign and by Unique Shopper
Executive Leaders
Data Analysts
Retail Operations
Marketers
IT & Data Teams
Paid Media Performance 
To support complete digital marketing efficiency and performance data models and reports, SoundCommerce provides:
- Digital Marketing Channel Spend and Activity Collected Directly from Source Channel APIs
- Flexible Attribution Modeling from Google Analytics, Rockerbox, and other Attribution Tools
- Exact Matching of Campaign Transaction IDs to Ecommerce Order IDs
- Omnichannel Conversion, Order, and Customer Awareness Collected Directly from Shopping Carts and Point-of-Sale Systems
- Ad Spend, Conversion and Order Detail by Shopper
- New and Repeat Shopper Awareness Derived from Order Files not Browser Cookies or Tags
- Accurate Cost-to-Acquire (CAC) and Cost-to-Reengage (CRC) Shoppers Based on Order Files not Browser Cookies or Tags
Marketers
Data Analysts
Shopper Lifecycle and Activation 
To support complete shopper lifecycle data modeling and reporting, SoundCommerce provides:
- Universal Customer IDs (CuIDs) for Matching
- Integration with Third-Party Behavioral Data
- Complete Omnichannel Order History
- Market Basket Analysis
- First Order; Cross-Order Shopper Behavior Analysis
- Customer Engagement by SKU and Category
- Customer Engagement by Promotion
- New vs. Returning Customer Analysis
- Repeat Purchase Propensity Analysis
Marketers
Data Analysts
Order Lifecycle 
To support complete order lifecycle data models and reports, SoundCommerce provides:
- Demand-Sales and Shipped Sales Revenue and Cost Categorization
- “Golden Order” Analysis, i.e. On Time In Full Performance
- Fulfillment and Delivery Latencies
- Operational Exception Analysis including Cancellations and Late or Failed Deliveries
- Returns and Exchanges Analysis
Executive Leaders
Retail Operations
Merchandising Performance 
To support complete merchandising data modeling and reporting, SoundCommerce provides:
- Omnichannel Item Master / Catalog Awareness
- Cross-Channel Merchandising Offers and Promotions Awareness
- Product SKU, Category and Style Performance Analysis
- Price and Promotion Impact on Revenue and Profitability
- Cross-Sell Basket Analysis
- First- and Repeat-Order Product SKU Correlation to Customer Lifetime Value (CLV)
Executive Leaders
Retail Operations
Operating Profitability 
To support order and customer profitability and retail unit economics analysis, SoundCommerce provides:
- Contribution Profit Insights for Orders and Customers Net of:
- Digital Marketing Cost of Acquisition and Retention; CPO and CAC
- Price Promotional Discounting
- CoGS and Product Inventory Cost; Supports both Order Item and Inventory Costing Models
- Variable Shipping Costs
- Order Overages:
- Oversized Items/Dimensional Shipping, Giftwrap, Personalization
Executive Leaders
Data Analysts
Retail Operations
Marketers
IT & Data Teams