Prefers reliability in a vehicle
Prefers SUV
Prefers Domestic
Likely buying range $16-24K
Still looking, likely to buy in 90-120 days
New to the dealership
Lisa Jones
Get the ability to personalize at scale with myautoIQ CDP
Have you ever wondered why you are hooked to your favorite streaming video, music app, and online shopping channels? Artificial intelligence algorithms drive them. They study your interactions with their services so they can confidently recommend the next movie you might like to watch and the next gadget for you to buy based on your customer behavior profile.
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myautoIQ’s Customer Data Platform (CDP) provides similar capabilities to personalize at scale for auto dealerships.
How does the myautoIQ CDP magic happen?
While what we are doing may appear like rocket science, it is a simple and well-established approach for personalizing customer engagement in the online world of shopping and streaming sites. The critical difference is the use of 40 years of offline North American auto buying and ownership data and AI models for the needs of auto-customer interactions and engagement.
BRING EXTERNAL DATA
COMPLETE THE CUSTOMER PICTURE WITH EXTERNAL DATA
The first step for myautoIQ's AI engine is to create a clean, unified dataset across various customer elements, which helps us build behavior profiles of the North American auto-buying population. myautoIQ consumes millions of raw data points, including demographics, lifestyle, behavior, shopping, manufacturer, industry, vehicle preferences, vehicle specs, and industry valuation data.
CREATE BEHAVIOR PREDICTIONS
PREDICT, RECOMMEND AND SCORE CUSTOMER BEHAVIOR
Using unified data, our proprietary AI models then predict, recommend, and score every auto customer. Our AI models use everything from simple statistical algorithms to machine learning and recommender algorithms to deep learning algorithms and neural networks.
POWER MYAUTOIQ PRODUCTS
BRING CUSTOMER DATA PLATFORM INTELLIGENCE TO MYAUTOIQ
Once the AI engine and big data are ready, myautoIQ SaaS products query the engine in real-time through APIs, with the customer or lead data to get predictions, recommendations, and scores needed for business decisions.