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Scandinavian Biolabs
16 months
Service & Product Subscriptions
Europe
Scandinavian Biolabs is a personal care company focused on developing scientifically backed hair growth and wellness products. Operating across five global regions, the brand relies heavily on Shopify for sales and Klaviyo for customer engagement. As their marketing footprint grew, they needed a unified analytics solution to track performance across regions and better understand customer behavior.
End-to-end Data Engineering
ETL Pipeline Development
Business Intelligence Implementation
E-commerce Marketing Analytics
Data Engineering Specialists
Business Intelligence Analysts
Lifecycle Marketing Consultants
Platform Integration Engineers
Offshore Hiring
Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding
Inability to unify email and sales data across regions.
Manual processes delayed access to timely marketing insights.
No structured tracking for churn, LTV, or engagement lifecycle.
The project began by integrating Scandinavian Biolabs' core marketing and commerce platforms, Klaviyo and Shopify, into a single, centralized data warehouse hosted on BigQuery. Fivetran pipelines were configured for automated, consistent data extraction from Klaviyo. This consolidation enabled the creation of a semantic layer that clearly defined marketing KPIs such as lifetime value (LTV), churn rate, and engagement metrInefficient Reporting Workflowics.
To enhance visibility and usability, interactive dashboards were designed in Looker Studio. These dashboards featured time-based filtering at various granularities and allowed marketers to segment data by region. The system architecture was intentionally modular, enabling future integration with additional data platforms while maintaining automated refresh and minimal upkeep.
The following strategic questions shaped the solution design:
● How can we unify campaign visibility across global markets?
● What performance indicators best reflect lifecycle trends and retention?
● Can we eliminate manual reporting while preserving analytical flexibility?
● What platform architecture will scale with marketing growth?
Deploying a Modular, Scalable, End-to-End Client-Focused Analytics Solution
A robust ELT architecture was established to ingest Klaviyo data into BigQuery, joining existing Shopify transactional data. This created a clean, governed data foundation for all downstream analysis. A semantic modeling layer defined and normalized key performance metrics to ensure consistency across teams and use cases.
Custom dashboards were developed in Looker Studio, tailored for marketing leads to explore data by region, campaign, and timeframe. The system was designed for auto-refresh and easy extensibility, future-proofing the analytics environment and enabling faster iteration on strategy.
The project prioritized data clarity, usability, and scale—empowering marketing teams with actionable insights and reducing operational bottlenecks.
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decrease in time spent on manual reporting
regions covered by fully automated dashboards
quicker identification of campaign and retention issues
cost savings through data pipeline optimization
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DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML.
Reviewed on
Address
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
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