We’ve picked out some of the best advice out there for brands to consider when looking to improve customer engagement and loyalty in 2018.
Learn about machine learning and its potential impact on customer loyalty.
Machine learning has been a hot topic in the loyalty industry in recent years, but now seems to be building more momentum amid advances in Big Data technologies. Expectations Are High for Machine Learning and Its Potential Impact on Customer Loyalty.
FOSTER CITY, CA – November 1, 2017 – Stellar Loyalty, Inc., the consumer relationship company with a mobile-best SaaS loyalty solution, and Loyalty360, the association for customer loyalty, today announced a newly enhanced “event engagement” mobile app for the upcoming Customer Expo 2017 conference in Nashville from November 6-8.
Stellar Loyalty is thrilled to not only be attending but also sponsoring BRANDY 2017 in Milan, Italy, October 18th-19th.
BRANDY is Italy’s annual event focused exclusively on brands. Bringing together senior executives of Italy’s top brands with leading technology and marketing service providers, BRANDY has created a community of over 1,000 professionals in just two years. BRANDY gathers professionals interested in remixing experiences and innovative perspectives from various industries, including retail, CPG, hospitality, and entertainment.
Earlier this month, fresh off the NASPL Professional Development Seminar in Nashville, Tennessee, we shared some thoughts on the lottery and loyalty, and how, in many ways, the challenges and opportunities presented to lotteries mirror those of the consumer goods industry.
It is no secret state lotteries are big business, but few people realize just how big. Why in 2015, U.S. lottery sales totaled $73.8 billion (USD). Canadian sales reached $9.1 billion (CAD). And with only 52 total lotteries in North America, that’s a lot of revenue being generated by a pretty elite group.
Merrill Lynch uses machine learning to automate investors’ portfolios, Facebook employs it to curate newsfeed content, and Google’s self-driving cars rely on it to navigate the roads. Thanks to machine learning’s ability to analyze data with greater speed and more accuracy than any human — in a more cost-effective way — the technology is now being embraced by countless industries and businesses have big plans for it in 2017.
The data is irrefutable. Retail is under pressure. As one of our company co-founders put it, “the front door has moved” and consumers are buying without ever crossing a store’s threshold. Everything they used to do in the physical world is made faster and easier in the virtual world, from discovery to recommendations, to purchase and delivery.