The new digital engagement era requires advanced personalization to keep users happy and engaged in offered services in the long run. DiG now offers a comprehensive set of personalized dynamic messages and alerts, generated by integrated rule-based algorithms and machine learning procedures. User-platform interactions and various other behavioural data sources are logged and analyzed in order to adapt and fine-tune the platform’s user experience and at the same time keep users informed and engaged from a 360-utility point of view. Personalization is also applied to the gamification, digital content and cross-selling marketplace dashboards over various digital channels (push notifications, emails, in-app alerts, web alerts, etc). Through the Data Analytics admin panel, utility executives can analyze digital interactions in order to extract useful insights down to the community and individual engagement layers.
DiG has also new Social network features, so that utility users can form digital communities under the utility’s umbrella. Consumers can interact with each other, have their own timeline, share activities on popular social networks, follow other users, check their timeline and profile pages, see how they perform in various games, consult their efficiency scores/rewards and gaming levels and also interact on the marketplace dashboard.
DiG SaaS has already produced some high initial engagement results during recent deployments, in utilities without smart meters, based on behavioural-based learning, gamified crowd-feeding functionalities (meter readings pushing by users, appliances registration, etc) and digital interactions. Gamification and cross-selling marketplace sustains that engagement to the maximum degree and drives end user efficiency.
For more info contact:
Mr. Sotiris Efthimiou, Business Development Manager