LiftIgniter helps companies benefit from real-time machine learning-based recommendations natively in their digital properties (web, mobile, email, push, etc). Our technology is comparable with what the leading Web properties (Youtube, Amazon, etc) have built for their sections like “Recommended for you” or “You might like." Our customers are ecommerce, media, and B2B customers who utilize our platform to show a personalized set of recommendations to their consumers optimized to meet their specific business objectives.
Personalization is most effective if based on what the consumer is doing at that moment. Detecting, processing, and acting on these interest signals in real time is very hard to do. Our real-time machine learning platform can do all of this in a fraction of a second and at a fraction of the cost of building and maintaining a solution with an internal team. Best of all, the majority of our customers are up and running in about two weeks with less than 10 hours of their team’s time. We also have a full API available for more advanced deployments. In short, we help our customers easily leverage their first party data to drive compelling business outcomes.
Retail companies, such as SportsDirect and Tradesy, use our platform to personalize recommendations, optimizing for conversion rate. Media companies, such as the Telegraph and Apartment Therapy, use us to drive subscriptions and to drive recirculation. Many of our customers use our platform as the source of truth for personalized recommendations everywhere-- from onsite/in-app to email to push notifications. Our products scale from up and coming startups to the largest brands. We are the most flexible, powerful, and easy to deploy solution available on the market. We touch close to 200 million users worldwide with upwards of 200 billion recommended items per month.
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Sandra Ponce de Leon
