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iRESTORE Tech Stack
Direct-to-consumer laser therapy brand scaling marketing operations and demand forecasting
iRESTORE manufactures and sells low-level laser therapy devices for hair restoration and smoking cessation through DTC channels. The tech stack—SQL, BigQuery, Snowflake, dbt, Apache Airflow, Looker, Tableau, Power BI—reveals a data-first operations org tackling inventory forecasting, real-time reporting, and attribution modeling. Hiring velocity is accelerating across data (14 roles) and marketing (9 roles), suggesting aggressive scaling of acquisition efficiency and campaign ROI measurement as core business drivers.
Tech Stack 29 technologies
Core StackClickUp Looker Tableau BigQuery Snowflake dbt Apache Airflow Power BI Python Shopify Google Ads Meta Ads Kubernetes Google Analytics Figma Adobe Creative Cloud AWS Google Workspace SQL Looker Studio Amazon Seller Central TikTok Shop Meta TikTok Pinterest X Meta Ads Manager LinkedIn Recruiter Microsoft Office
What iRESTORE Is Building
◆Challenges
- Inventory forecasting
- Real-time reporting
- Forecasting accuracy
- Acquisition efficiency
- Optimizing marketing campaigns
- Scaling marketing operations
- Performance measurement
- Tracking pixel integration issues
- Optimizing bi stack
- Manual dependency must decrease
▲Active Projects
- Inventory forecasting pipelines
- Real-time reporting pipelines
- Design and implement attribution models to measure and improve campaign effectiveness
- Real-time reporting on spend and performance
- Attribution modeling for marketing campaigns
- Forecasting & demand monitoring
- Acquisition & channel economics
- Revenue & contribution margin analysis
- Ai-assisted production system
- Employee engagement initiatives
Hiring Activity
35 roles · 20 in 30d
Department
Seniority
Notable leadership hires: Creative Director, Art Director, Chief Operating Officer
Company intelligence
