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Project Duration
16 months
Client Industry
Service & Product Subscriptions
Target Markets
Europe

Scandinavian Biolabs

Centralized Data Infrastructure for Regional Email Performance Insights and Scalable Marketing Intelligence

Technology Stack

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Client Overview

We Understand Our Clients Best to Provide then the Best Solutions

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.

Solutions Delivered

End-to-end Data Engineering
ETL Pipeline Development
Business Intelligence Implementation
E-commerce Marketing Analytics

Team Composition

Data Engineering Specialists
Business Intelligence Analysts
Lifecycle Marketing Consultants
Platform Integration Engineers

Engagement Type

Offshore Hiring

Key Challenges

Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding

Disconnected Data Ecosystem

Inability to unify email and sales data across regions.

Inefficient Reporting Workflow

Manual processes delayed access to timely marketing insights.

Limited Customer Intelligence

No structured tracking for churn, LTV, or engagement lifecycle.

Strategic Roadmap

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:
  • - 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?
  • - How can we unify campaign visibility across global markets?
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Execution Approach

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.

BUSINESS IMPACT

Real-Time Insight at Scale
Data-driven decisions supported by centralized, real-time visibility into campaign performance.
85% Reduction in Manual Reporting
Significant reduction in time spent on manual reporting tasks.
Granular Regional Analytics
Detailed analytics broken down by region for better insights.
Improved Lifecycle Optimization
Enhanced optimization throughout the entire lifecycle.

85%

decrease in time spent on manual reporting

5

regions covered by fully automated dashboards

3x

quicker identification of campaign and retention issues

60%

cost savings through data pipeline optimization