Given today’s competitive media advertising landscape, media companies need to be agile enough to handle multi-screen, multi-channel audiences. Instead of sticking with traditional media advertising strategies, you can improve the reach and impact of your selected advertising techniques through the predictive models that machine learning provides.
For example, Heinrich Group’s software can use regression and classification algorithms to predict the user behavior and response.
Heinrich Group’s state of the art machine learning software can produce fast, accurate, and scalable predictive models to help you:
Understand User Demographics
- Discover user behavior. Analyze existing user databases to find patterns in the way users interact with a variety of media channels
- Personalize. Customize advertising packages to conform to unique user profiles, media frequencies, and industries for increased success/conversion rates
- Targeted ads. Tailor ads to specific individuals, environments, and devices for better results
Conduct Ad Optimization
- Increase click through rates. Determine how likely an ad prototype will be clicked as you test different hypotheses on ad features such as size, font, color, text, time of day, placement, and price