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Badge Scandinavian BioLabs

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

Fivetran Klaviyo Google Looker Shopify Google BigQuery Fivetran Klaviyo Google Looker Shopify Google BigQuery

Client Overview

We Understand Our Clients Best to Provide them 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 Icon

Solutions Delivered

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

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

  • Offshore Hiring
Key Challenges

Key Challenges

Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding

Disconnected

Disconnected Data Ecosystem

Inability to unify email and sales data across regions.

Inefficient Reporting

Inefficient Reporting Workflow

Manual processes delayed access to timely marketing insights.

Limited Intelligence

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 metrics.

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.

Execution Diagram
Business Impact

BUSINESS IMPACT

Real-Time Insight at Scale

85% Reduction in Manual Reporting

Granular Regional Analytics

Improved Lifecycle Optimization

Business Impact Illustration

85%

decrease in time spent on manual reporting

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5

regions covered by fully automated dashboards

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3x

quicker identification of campaign and retention issues

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100%

self-refreshing BI architecture for future marketing expansion

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