05 Mar Retention Science Hosts Customer Retention Clinic during SXSW Interactive
Retention Science was selected to participate as a Spotlight Featured Company in Silicon Beach Sunday Funday on March 10, a technology showcase known as the biggest gathering of LA technology companies during SXSW Interactive. This technology showcase will be held at Austin’s downtown favorite restaurant, Frank. It is a one-day event that according to organizers, Digital LA and Radix Collective, will “celebrate the diversity in technology companies to be found in Silicon Beach and broader Los Angeles”. CUSTOMER RETENTION CLINIC During the event, Retention Science will host a “Customer Retention Clinic”, providing retention marketing expertise and sharing actionable recommendations with online business owners and marketing managers on how to best maximize existing customer spending and reduce churn. In addition, Retention Science will provide product demos and special limited-time offers to subscribe to its Retention Automation Platform. More importantly, the Customer Retention Clinic will give attendees a chance to see the power of retention marketing in action. The company founders will demonstrate how online retailers can use Retention Science products to increase sales with existing customers. Such products include Retention Scoreâ„¢, a metric that tells business how they’re doing and what they can do to improve customer retention, Churn Predictor, a technology that shows WHEN business should engage to reduce churn, and Dynamic Retention Offer, which enables businesses to send out individually-tailored offers based on each customer’s past behavior. On top of that, e- tailers will discover how to integrate Retention Science with their shopping carts and email platforms so they can seamlessly set up retention campaigns that have been proven to boost click-through rates and conversions. The customer retention campaign experts will also share their research and case studies with some of the biggest e-Commerce and IR 500 companies and how they can best apply their predictive technology to help online businesses maximize customer retention.