Buying a car can be one of the most painful processes that a consumer experiences. We partnered with Prea Company to develop systems for data collection and visualization.  Through data insights, they’re developing a service that eliminates the painful process of visiting dealership after dealership. By becoming a member you have the opportunity to use an app that can help you pick that car you want without all the heavy legwork. Our main priority was to identify what data should be collected and where to start. We explored the US car market to develop insights into what parts of the country would provide the best opportunity for Prea’s expansion. Through our discovery, we were able to identify prime locations and brands with the most sales. In this Case Study, we discuss the methodology behind Entreprov’s approach to delivering business insights for Seattle based firm.

Business Understanding

Entreprov started by having a series of meetings with Prea and their team to understand the main problem being solved. Our first objective was to develop domain knowledge about the company and their customers. As a result of our meetings, we were able to determine the most important data insights they needed. During the process, we gained insight into what were the major customer problems that Prea wanted to solve. Using our conversations as a baseline for understanding, we went a step further by conducting exploratory research to gather more information on the car buying process.   In conclusion of developing a business understanding, we were able to provide key information in creating a compelling experience for customers looking to buy their next car.

 

Data Understanding

Having an effective strategy includes getting accurate data and asking the right questions. We wanted to develop a strategy that would help Prea understand where they should focus their efforts. We wanted to know as much as possible about customer patterns and trends. As a result, we were able to determine the best locations where they should market and what car brands are the most popular. This provided our client with actionable data to make decisions that would push the brand forward.

 

Extracting Insights & Strategy

After we identified the major data points and performed the necessary analysis, we developed a data-driven strategy. For example, we identified the top five states that have seen the most car purchases for the past 2 years. This helped our client develop marketing campaigns that targeted their biggest markets. In conclusion, Prea was able to identify the top car brands to focus marketing efforts.

One of the major things we’re working with Prea to continuously improve is the data governance strategy. Our end goal is to help make accurate car recommendations for customers in the most seamless process.  You need to have consistent data pipelines and data structures to make accurate predictions. Prea is currently cutting edge in their technology and approach to easing the painful car process by putting the consumer in control.

 

 

 

Alex Brooks is the founder and CEO of AE Brooks, LLC (d/b/a, Entreprov), a Seattle-based firm that builds custom predictive analytics and automation tools to enhance a company’s performance and decision making.