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Scandinavian Biolabs Copy

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

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

Technology Stack

No items found.

Client Overview

Challenges in Modeling Subscription and Business Metrics

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

12

Inefficient Reporting Workflow

Limited Customer Intelligence

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.

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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.

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
6

85%

decrease in time spent on manual reporting

5

regions covered by fully automated dashboards

3x

quicker identification of campaign and retention issues