How to use AI to anticipate, advise and improve experiences
and ultimately increase ROI.
In this paper, we’ll discuss the risk of missing the opportunity to use digital technologies to learn about consumers’ preferences and habits. We’ll show how leveraging contextual data and real-time analytics using artificial intelligence (AI) and Machine Learning (ML) can reduce marketing cost, attract hyper-targeted customers and create engaging consumer experience.
Customers expect a personalized shopping experience. That’s one of the best ways to increase engagement and sales. People should be encouraged to create a customer profile on websites or mobile applications to monitor their habits and give them special
offers based on their browsing pattern or previous purchases.
Personalization tactics make it easier to upsell and cross-sell to customers. Ultimately, this means selling more money without spending much. It is actually cheaper to target current customers than it is to acquire new ones.
INTELLIGENCE FROM CUSTOMER INTERACTIONS
LIFEdata learns user’s habits and preferences as they happen and delivers offers or experiences when they are needed using real-time knowledge.
It reacts to what users do throughout the day to increase engagement based on a combination of individual’s biological, behavioral and psychological data, to enable individualized interaction and real time-engagement. LIFEdata personal assistant detects the change in the user’s context and make recommendations for the new context.
LIFEData.AI’s personalized, automated conversation experiences deliver the right conversation at the right time based on the user’s profile, enabling businesses to manage resources and scale.
Learn more at http://lifedata.ai/ai-solutions/mobile-engagement/