Unified E-commerce & Multi-Channel Marketing Performance Analysis Using Shopify Demo Data
Complete integration solution with detailed implementation guide and real-world use cases.
Technology Mix
Powerful combination of technologies working together to deliver exceptional results
Shopify
The e-commerce platform providing transactional data (orders, products, inventory, customers).
Google Ads
Advertising platform for capturing campaign performance data (impressions, clicks, conversions).
Sklik
PPC system used for managing ad campaigns on Seznam.cz.
Facebook Ads
Another advertising platform for analyzing campaign performance (impressions, clicks, conversions).
Snowflake
A cloud data warehouse used for centralizing integrated data and enabling high-performance analytics.
Keboola
Data integration platform to automate the end-to-end flow, consolidating and transforming the data into a unified structure.
Why This Technology Mix?
Strategic reasoning behind our technology selection
- Shopify provides transactional data that forms the backbone of the analysis, helping businesses understand their product sales, customer behaviors, and inventory.
- Google Ads, Facebook Ads, and Sklik offer valuable campaign performance data to measure the success of marketing efforts and customer acquisition.
- Keboola automates the integration of these different data sources and performs necessary transformations, like RFM analysis, enabling better decision-making.
- Snowflake acts as the centralized cloud warehouse that stores all integrated data, allowing for efficient querying and analysis by BI tools.
- Together, these technologies allow the user to seamlessly track marketing ROI, customer lifetime value, and optimize ad spending across multiple platforms.
Real-World Use Cases
Practical applications across different industries and scenarios
E-commerce Performance Analysis
An E-commerce Manager uses this flow to track product sales, correlate them with ad spend, and identify which marketing campaigns drive the most revenue.
Customer Segmentation for Targeted Marketing
A Marketing Analyst uses RFM analysis on Shopify customer data to create targeted ad campaigns for different segments (e.g., high-value customers).
Cross-Platform Marketing Optimization
A Data Analyst/Engineer combines data from Google Ads, Facebook Ads, and Sklik, allowing the Marketing Analyst to track sales attribution and adjust marketing budgets accordingly to improve ROI.
Key Benefits
Measurable advantages you'll gain from this blueprint implementation
(The benefits percentage shown is for illustrative purposes only and represents a generic example of potential gains from this blueprint)
Efficiency Gains
Automated data integration and transformation through Keboola reduce the time and effort required to combine and clean data.
Cost Reduction
Optimized ad spend based on ROI from all platforms leads to more effective marketing budgets.
Scalability
The centralized Snowflake data warehouse scales to handle large volumes of data, making it suitable for growing businesses.
Better Marketing Insights
Accurate attribution, customer journey mapping, and segmentation enable more informed decisions, resulting in higher conversions and improved customer retention.
Actionable Insights
The ability to track both e-commerce and marketing performance in a unified view helps the team make data-driven decisions that drive revenue growth.
Ideal for Rapid Learning
Great for POCs, bootcamps, or e-commerce analyst training.
Ready to Implement This Blueprint?
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