RS Group PLC Increases Paid Search Revenue by 6% Using Corvidae AI

RS Group PLC, the FTSE 250 distributor of industrial and electrical products, has achieved a 6% increase in Paid Search revenue coupled with a 5% reduction in advertising expenditure. This performance improvement was realized through the implementation of Corvidae AI's patented session reconstruction technology, which feeds accurate customer journey data into automated bidding systems.

The initial four-month pilot, conducted within RS Group PLC's Italian operations, yielded a 12% improvement in return on ad spend. Following these successful results, the initiative is now being expanded to all other global regions.

The project originated from a measurement challenge rather than a bidding issue. After RS Group PLC adopted a strict "reject all" first-party cookie consent model, traditional analytics platforms like Adobe Analytics, Google Ads, and Microsoft Ads resorted to modeling and estimating customer journeys due to data limitations. Corvidae AI rebuilt these journeys without cookies, utilizing raw first-party eventstream data and predictive AI.

During the testing period, Corvidae AI tracked £193 million more in revenue globally compared to Adobe Analytics, covering over 95% of the active customer base. This technology is architecturally compliant with GDPR and CCPA. The reconstructed customer journeys revealed significantly longer paths than previously reported and exposed channel overlaps invisible to prior reporting.

The reconstructed data was directly fed into RS Group PLC's bidding algorithms and Power BI via API, integrating it into the company's core systems. RS Group PLC views Data-Driven Attribution, enabled by Corvidae AI, as a critical component of its analytics evolution, facilitating a more comprehensive channel mix strategy and enabling more aggressive growth budgeting.