Case Study: Ford achieves greater data accuracy and faster page performance with ObservePoint

A ObservePoint Case Study

Preview of the Ford Case Study

Ford ME Automates QA Efforts to Improve Data Accuracy & User Experiences

Ford ME needed to improve the accuracy of its Adobe Analytics implementation, fix broken user journeys like the “Request a Quote” form, and migrate from Adobe DTM to Adobe Launch while reducing slow page load times. To address these digital QA and governance challenges, Ford used ObservePoint’s automated Audits, Journeys, and Alerts.

With ObservePoint, Ford ME tested and validated critical user paths, identified tag and performance issues, and worked with its team to correct page and analytics problems. The results included key variable accuracy rising to 99%, page load times dropping so that 90% of pages loaded in under 10 seconds, and a more efficient, aligned analytics implementation.


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