Online Shopify Sales & Marketing Analytics
Driving growth for Shopify stores through data-driven insights into sales performance, customer behavior, and marketing ROI.

Key Metrics Monitored
- Conversion Rate (Overall & by Channel)
- Average Order Value (AOV)
- Customer Acquisition Cost (CAC)
- Customer Lifetime Value (CLTV)
- Cart Abandonment Rate
- Marketing Campaign ROI (by channel/campaign)
- Top Performing Products
- Customer Segmentation (e.g., RFM)
Technologies Utilized
- Shopify API
- Google Analytics API
- Marketing Platform APIs (e.g., Facebook Ads, Google Ads)
- Azure Fabric / Data Lakehouse
- Microsoft Power BI
- Python (Pandas, Scikit-learn)
- SQL Databases
- Customer Data Platforms (CDP) - Optional
The Challenge
Running a successful Shopify store requires constant optimization of sales funnels, marketing spend, and customer retention. Store owners often face:
- Understanding Marketing Effectiveness: Difficulty attributing sales to specific marketing channels or campaigns accurately.
- Low Conversion Rates: Identifying where potential customers drop off in the buying process.
- High Cart Abandonment: Losing potential sales at the final stages without understanding why.
- Customer Retention Issues: Lack of insight into customer lifetime value and strategies to encourage repeat purchases.
- Data Overwhelm: Data exists in Shopify, Google Analytics, and ad platforms, but connecting the dots is challenging.
- Inventory & Product Performance: Knowing which products drive profit vs. revenue, and managing stock levels effectively.
Our Approach
Phoenix Dataworks provides a unified analytics solution for Shopify merchants:
- Multi-Source Data Integration: Automatically pull data from Shopify API, Google Analytics, and key marketing platforms (Facebook Ads, Google Ads, email marketing tools).
- Centralized Data Warehouse: Consolidate and model data in Azure Fabric, creating reliable metrics for conversion rates, AOV, CAC, LTV, and marketing ROI.
- Sales & Marketing Dashboards: Develop interactive Power BI dashboards visualizing overall store performance, sales funnel analysis, marketing channel effectiveness, customer segmentation, and product profitability.
- Conversion Rate Optimization (CRO) Insights: Analyze user behavior data (e.g., session recordings, heatmaps - integrated if available) and funnel drop-off points to identify areas for website improvement.
- Customer Segmentation & LTV Analysis: Implement RFM (Recency, Frequency, Monetary) analysis or other techniques to identify high-value customer segments and calculate CLTV for retention marketing.
- Marketing Attribution Modeling: Apply different attribution models (first-touch, last-touch, multi-touch) to better understand the impact of various marketing channels.
Potential Outcomes
Shopify store owners using this data-driven approach can expect:
- Increased Conversion Rates: Improving website usability and checkout flow based on data insights.
- Higher Marketing ROI: Allocating budget more effectively to the best-performing channels and campaigns.
- Improved Customer Retention & LTV: Tailoring marketing efforts to high-value customer segments.
- Reduced Cart Abandonment: Identifying and addressing friction points in the checkout process.
- Optimized Product Strategy: Focusing inventory and marketing on the most profitable products.
- Clear View of Business Health: Holistic understanding of sales, marketing, and customer metrics for strategic decision-making.
Grow Your Shopify Store with Data?
Contact us to learn how comprehensive analytics can optimize your sales funnel, marketing spend, and customer value.
Request a Consultation