A leading automobile manufacturer sought to identify all the different steps that a purchaser took before buying a car. The brand understood that consumers came to its web site, visited a dealer, and performed a test drive, but wanted to know more about the journey users take and their path to purchase. Doing this required bringing together disparate data from multiple sources and from parts of the business that had never worked together before. All this data needed to be analyzed, cleansed, and deduped so activities wouldn’t be double counted and so that inaccurate data didn’t cloud the findings. Lastly, the data needed to be linked across the manufacturer's different touchpoints to enable the user journey to be stitched together.

Together with Merkle, the client chose to implement the RAL platform for ingesting and centralizing data through APIs and flat file data feeds. We analyzed provider data and made multiple recommendations for cleansing the source feeds which were numbered at several hundred from over two years of historical behavior and purchase activity. Then, our data scientists built the process and its necessary links to individuals across data feeds. Finally, our analytics team created a monthly report to view and then evaluate the customer journey over time.