Digital Transformation for Media and Entertainment

The quickest gains come from data-rich, recurring processes: churn predictions to retain subscribers, personalised content and product recommendations, advertising yield optimisation, and AI-powered research, tagging and content preparation in the editorial team. The key point is this: AI is not a standalone strategy, but a tool that supports clear business objectives.We therefore begin with a use case assessment, prioritise initiatives by impact and feasibility, and support you from the first pilot through to scaling – on the platform that fits your existing system landscape.

In practical workshops, we work with you to identify which processes offer the greatest potential — from content planning and paywalls to subscription marketing and advertising sales. Based on this, we develop a prioritised roadmap that integrates with your existing systems, such as your CMS, ad server, paywall or ERP, rather than replacing them. This allows you to start lean, see results early and expand the platform step by step.

Data and AI help tailor paywall offers to different user groups and usage scenarios. This involves analysing content consumption, visit frequency, interests and previous interactions. On this basis, organisations can segment audiences, personalise offers and identify the right time for registration or subscription offers. A reliable first-party data foundation across all channels is essential.

The industry is shifting noticeably away from pure advertising sales towards a digital reader revenue model. Flexible paywalls, membership programmes and first-party data monetisation open up new revenue streams. A central data platform collects consent-based user data, segments audiences and optimises offers throughout the lifecycle – from initial contact to renewal. This enables you to increase both subscription revenue and advertising yield, regardless of the systems you currently use.

The key is to build a clean, reliable first-party data foundation. In the post-cookie era, dependable data solutions are more important than ever for advertisers and publishers looking to understand their audiences and engage them in a privacy-compliant way.

We consolidate your fragmented user, subscription and advertising data in a central, GDPR-compliant platform, use consent management to ensure compliant data collection, and make the data available for AI use cases. This gives you greater control over audience reach and monetisation, rather than relying on third-party platforms.

By identifying churn before it happens. Models analyse historical data and usage signals, such as declining reading or viewing time, to detect churn risks at an early stage. Based on these insights, you can trigger automated retention campaigns, for example with exclusive content, loyalty incentives or targeted offers at the right time.

This requires a reliable data foundation across all channels. We support you in building, migrating and quality-assuring that data foundation.

By bringing together data, teams and objectives. Through open interfaces and preconfigured connectors, we integrate CMS, paywall, ad server, ERP or SAP systems to create a shared single source of truth. All departments work with the same real-time information, while workflows connect marketing, sales and service. Shared KPIs and agile, cross-functional teams accelerate decisions – from content planning to subscription upselling. Our approach remains technology-agnostic: we integrate the systems you already use rather than requiring a specific technology landscape.

AI-powered service channels can handle recurring enquiries relating to subscriptions, accounts, payments or content automatically, and escalate more complex cases to service teams.

To achieve this, CRM, contract and usage data are connected, enabling personalised responses in the right customer context. This allows service processes to scale while delivering fast, consistent customer experiences.

Read our RTL+ customer success story →