25% higher lead conversion from automated consumer research

Objective

We used AI techniques to enhance the market research capabilities of one of China’s largest automobile manufacturers by automating the process of aggregating and analysing consumer data.

This initiative aimed to provide the client with real-time insights into evolving consumer behaviours related to car purchases and mobility, enabling them to make data-driven decisions more efficiently.

By replacing manual data collection from multiple sources with automation and AI, the project attempted to save significant man-hours, streamline operations, and ultimately drive an increase in sales performance year on year.

Problem Statement

The client, one of China’s largest automobile manufacturers, faced significant challenges in their market research process, which required manually gathering and consolidating data from hundreds of websites, automotive forums, blogs, and social media platforms.

The labour-intensive approach was time-consuming, inefficient, and unable to provide timely insights into rapidly changing consumer behaviours related to car purchases and mobility.

The lack of real-time data hindered their ability to make informed decisions, impacting their competitiveness in a dynamic market.

Solutions

• Deployed an automated and AI-powered module for data aggregation and analysis.

• Utilised web scripting and NLP techniques to identify and categorise prospective customers.

• Consolidated data from hundreds of automotive forums, blogs, websites, and social media platforms into a single, real-time dashboard.

• Delivered automated, updated insights on evolving consumer behaviours in car purchases and mobility.

Results/ Benefits

• Achieved a lead conversion rate increase of 25% for the client.

• Reduced thousands of man-hours by automating the data aggregation and analysis process.

• Provided real-time insights into evolving consumer behaviour, enabling quicker and more accurate decision-making.

• Improved the efficiency and accuracy of the market research process, eliminating manual errors.

• Enhanced the client’s ability to respond to market trends and customer preferences proactively.

• Strengthened the company’s competitive edge in the dynamic automotive market.