The Customer-First approach to hyper-personalization
In this age of digital transformation, marketers have more tools than ever at their disposal to track customer purchases. By tracking clicks, online shopping carts, and past purchase behavior, marketers can target their advertisements to specific customers and offer deals on past purchased products and related items. But what if marketers could broaden their customer knowledge base and provide personalized, contextual deals on anticipated purchases? This type of marketing is the future, and it’s completely reliant on the emerging Edge-AI.
Our CEO Ofer Tziperman offered his insights in a recent Retail Touchpoints article, “Balancing Consumer Privacy with Personalized Offers,” and discussed the challenges retailers face in reaching consumers with viable offers, as data privacy pressures mount.
A lot of us (more than 70 percent) say if given the option, we would retain our personally identifiable information (PII) on our mobile phones rather than sharing it with big corporations and marketers.
How accurate is smartphone location? It depends. GPS-enabled smartphones are typically accurate to within a 5-meter radius under the open sky. But dense urban environments can impair the location accuracy by over 30m! The Anagog Positioning System (APS) is unique in its ability to improve location accuracy in dense urban areas and can reduce the average location error from 25m to 13m.
