Our Projects

Real examples results from focused data solutions.

Migration & Advanced Tracking : Global E-Commerce Brand

GA4

Industry: E-Commerce / Retail (Global)

Challenge: The client was using legacy Universal Analytics, and their data was scattered across web, app, and third-party platforms. The measurement of their marketing campaigns and ROI was also not accurate.

Our Solution:

Full migration to GA4 along with custom e-commerce tracking

Server-side tagging to circumvent ad blockers and track conversions precisely

Integration with BigQuery for unified and real-time reporting

Creation of automated dashboards and predictive models for marketing teams

Results (Hypothetical but realistic

+40% Increase in Conversion Tracking Accuracy

Real-time dashboards reduced decision time by 50%

Data-based optimization of advertisement budgets improved returns on investments by 22% Tools & Techniques Used: GA4, BigQuery, Python, SQL, Server-Side Tracking, Dashboard Automation

BigQuery Data Warehouse & Advanced BI for Global Retailer

Industry: Retail / E-commerce

Challenge :

The data was spread across several platforms, including the CRM, GA4, paid media, and app analytics. This was making the reporting process difficult and time-consuming, with errors not just in the reporting but in the decision-making process as well

Our Solution :

Created a robust etl pipeline to centralize the data within big query

Data mapping and event tracking have been implemented for providing accurate metrics across all touchpoints.

Designed interactive dashboards like Power BI and Data Studio that included real-time KPIs, alerts, and campaign insights

Advanced Trend and Consumer Behavior Analysis to Direct Strategic Decisions

Results :

Centralized 100% of marketing & sales data in one warehouse

Reporting speeds improved by 80%, allowing for real-time decisions

Predictive insights increase marketing ROI up by 18% in first quarter

Enables cross-channel optimization, which helps in identifying the major revenue contributors Tools and Techniques Used: BigQuery, Python, SQL, ETL pipelines, GA4, Server-Side Tracking, Power BI, Looker-like Dashboards