We use cookies. You have options. Cookies help us keep the site running smoothly and inform some of our advertising, but if you’d like to make adjustments, you can visit our Cookie Notice page for more information.
We’d like to use cookies on your device. Cookies help us keep the site running smoothly and inform some of our advertising, but how we use them is entirely up to you. Accept our recommended settings or customise them to your wishes.
×

Leading Automobile Manufacturer Gains Deep Insight into Buyer Journey

Rapid Audience Layer accelerated the onboarding of data, allowing for millions of records to be ingested daily and with a time savings from analytics.

Challenge

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.

Approach

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.

Results

5M+
Records ingested daily through automated process
40%
Time saved on analytics by consolidating data sources
2
Months for onboarding the data platform

Keys to success

Ability to rapidly onboard data and react to changes
Cohesive team of members that clearly understood their roles and responsibilities
Strong analytics expertise to map out the customer journey
Cloud-based tools that scale to store large amounts of historical data as well as visualize the results

Discover how we did it. Contact us today.