Next Best Offer
The Right Offer at the Right Time with AI
Consumers are inundated with marketing messages in their email inbox, online, and by phone. All too often the messages and content they receive are generic and don’t meet their specific needs, which leads to low marketing conversion rates, poor customer satisfaction and customer churn. Traditional offer targeting relies on customer segmentation of marketing lists to target large groups with offers. Even with this segmentation, however, offers are still irrelevant to most recipients.
AI based machine learning models are ideal for offer optimization. Using AI, marketers can determine which customers are likely to be interested in current offers and only those customers will receive them. With AI models, marketers can use more data on customers including browsing behavior, prior purchases, demographics, household data and more to determine customer interests and intent. AI models can be used to create granular segments of customers using rich data and then to determine the characteristics of products or offers that each group would find most interesting. This can help the marketing team to develop content and offers that would best appeal to each segment which increases conversion rates and dramatically reduces waste in creative content development.
The mission at H2O.ai is to democratize AI for all so that more people across industries can use the power of AI to solve business and social challenges. Across industries, marketing use cases drive significant use of H2O.ai products to solve key challenges including lead scoring, customer segmentation, offer optimization and content personalization. Marketing technology companies including G5 and Poder.io trust H2O.ai technology to help them deliver innovative marketing solutions for their clients. H2O Driverless AI is an award-winning platform for automatic machine learning that empowers data science and technical marketers to scale machine learning efforts by dramatically increasing the speed to develop highly accurate predictive models.