
Case Studies
We specialize in transforming complex data challenges into streamlined, actionable insights. Our case studies showcase how we've helped businesses across industries to optimize their data processes, enhance decision-making, and drive sustained growth.
Global finance organisation
Automated workflows reduced manual reporting time by 80%
They struggled with data dispersed across multiple GA4 properties, making it difficult to establish a single source of truth.
Leading global event management company
Streamlined Reporting Saves Time
They faced significant challenges with an unreliable Amazon Dashboards that constantly broke down.
Tracking ad spend
Optimized Ad Spend and Real-Time Insights for Smarter Marketing
The client needed a solution to track and analyze ad spend across multiple platforms.
UK leading mobile service provider
Custom Reports Drive Insights to Enhance Upgrade Experience
They needed to gain a deeper understanding of customer journeys using Adobe Analytics, particularly to assess how these journeys impacted the upgrade process.
Leading publisher
SQL Insights Clarify AI's Impact, Guiding Content Strategy Forward
They needed to understand how the increasing influence of Al was affecting search behavior and user segments, as well as which articles were likely to perform better with Al-driven search trends.
Leading global oil organization
Accurate Tracking Powers Site Performance
They needed a solution to effectively track and analyze data from their newly launched website. Without proper tracking, they lacked the insights needed to evaluate user behavior and overall site performance.
UK based real estate company
GTM Tracking Enables Deep Insights to Boost Marketing Strategies
They needed enhanced conversion tracking in GTM to accurately track leads and monitor unique customer journey paths, ensuring they could optimize their marketing efforts.
UK based e-commerce company
Automated Reports Deliver Real-Time Metrics for Informed Decisions
one of the UK's fastest-growing e-commerce companies, faced a significant challenge they lacked the data infrastructure to make data-driven decisions.