Amid rising competition and market saturation, CSPs must embrace innovative strategies and new business models to reach targeted segments with tailored services.
Digital brands – including sub-brands and MVNOs – have emerged as an effective response to saturation. They target niche audiences with transparent, flexible, and community-led propositions. Their success stems from lean digital operations, instant onboarding, and agility that legacy platforms cannot support.
In this environment, differentiation, speed, and flexibility are key strategic enablers. Operators must leverage streamlined digital operations and platform intelligence to enhance efficiency while meeting the expectations of today’s Connected Customer, who is always online, well informed and expects instant access, seamless journeys and personalised interactions across every channel.
At the core of any successful digital brand lies an AI-native Digital BSS enabling continuous iteration, automation, and fully digital operations.
A Digital BSS is a cloud-native, microservices-based platform that is modular for flexibility and scalability and fully aligned with TM Forum’s ODA standards. It leverages Open APIs to simplify integration and drive digital transformation.
CSPs can launch a full-stack BSS to replace legacy platforms or modernise step-by-step by deploying selected modules and expanding over time. Individual BSS components integrate seamlessly with one another or with existing systems as required.
A microservices architecture enables Digital BSS features and capabilities to evolve independently and flexibly. Pricing changes, new bundles, service updates, or policy adjustments can be released within minutes. This accelerates time-to-market, helping CSPs test new business models and service concepts efficiently.
Being cloud-native, the platform optimises flexibility, scalability, and operational efficiency while supporting on-premises deployment if needed. Cloud readiness significantly reduces initial CapEx and implementation time, supporting more cost-efficient digital transformation.
A core characteristic of next-generation digital brands is their AI-native foundation. Rather than AI as an add-on, Digital BSS embeds Agentic AI and Digital Twin modelling deeply across business and customer operations.
AI enables hyper-personalised engagement through contextual, real-time offers that improve marketing efficiency and customer loyalty. Meanwhile, Digital Twin capabilities identify next-best actions, helping reduce churn risk.
Modern digital consumers expect issues to be resolved without calling a contact centre. By combining conversational AI, intelligent care bots, and unified self-service channels, operators can create consistent, autonomous journeys across app, web, chatbot, and community forums. Every interaction feeds a closed-loop system where AI agents learn, optimise, and enhance future engagements.
Differentiated loyalty programmes drive customer acquisition and retention through tailored campaigns that increase conversion, revenue and lifetime value.
Deep customer insight is combined with advanced gamification, community interaction and AI capabilities to create memorable experiences that build emotional loyalty. Low Code / No Code tools and zero-touch operations further support agility and fast time-to-market.
In today’s competitive environment, waiting for customers to complain or churn is no longer viable. By combining AI with Digital Twins, operators gain live insight into each journey, anticipate needs and drive proactive experience improvements.
A strong example is Canadian operator Videotron, which launched the disruptive digital brand Fizz Mobile targeting smart digital consumers. Fizz operates entirely digitally – no retail outlets and no fixed-term contracts – and offers a gamified customer journey.
Delivered in just 10 months using Etiya’s AI-native Digital BSS on AWS, the rollout involved deploying a separate mobile network and integrating the broadband services with Videotron’s existing infrastructure.
Fizz is built for autonomous operations, relying on minimal customer service agent involvement. The AI-driven platform uses machine learning and natural language processing to handle most interactions.
To minimise CSR engagement, automated email and SMS notifications were implemented, as well as automated ticket creation, escalation, responses and refund processing. AI supports chatbot interactions, ticket categorisation and prioritisation, reducing operational costs and improving responsiveness.
Fizz has also adopted a community-oriented approach, acting as both a digital service and an interactive hub. Members can engage through gamified actions without being existing customers.
Etiya’s Digital Business Platforms form the core of the implementation. Etiya was selected due to its delivery track record, turnkey transformation capabilities and focus on creating outstanding digital experiences.
As operators target new market segments with more tailored services, digital brands are becoming an essential growth strategy. However, limited resource allocation means their operations must be self-optimising.
Digital Twin profiles powered by AI agents transform customer behaviour into live insight that improves decision accuracy, enabling operators to predict needs and respond proactively.