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Telecom · 2023–2024

Transforming the digital omnichannel-marketing for the Telefonica Group

Customer data scattered across nine touchpoints. A unified CDP brought 21% cart recovery and 100K+ personalized messages.

Telecom: Transforming the digital omnichannel-marketing for the Telefonica Group

Customer data scattered across nine touchpoints. No way to personalize.

Unified customer data. 21% cart recovery, 100K+ personalized messages.

Cart recovery rate
21%
Personalised messages
100K+
Unified customer data
9 touchpoints

Engagement

Role
Technical Product Owner Lead
Timeframe
2023–2024
Industry
Telecom
TelecomJourney OrchestrationExperimentationMulti-tenant PlatformData UnificationOmnichannel Campaigns+7 more

Telefónica Germany serves one of Europe's largest mobile customer bases. Behind that, customer data lived in nine systems: web, app, email, SMS, retail stores, call centres and more, each holding a partial record with its own logic. Marketing couldn't personalise because no system knew the whole story. A support agent couldn't see what sales had promised. An abandoned shopping cart stayed abandoned, because nothing downstream knew it existed.

I led the platform that had to unify those nine sources into one customer profile.

Customer-data programmes usually die of abstraction. After a year of integration work on a "single customer view" with nothing to show for it, sponsors stop coming to the meetings. So the first delivery decision was scope. We pointed the platform at the most concrete leak in the business, abandoned carts, and proved the whole chain on it. Carts weren't the biggest strategic prize, but they were measurable in euros within a quarter, and that win bought the patience the longer unification work needed.

Adobe Real-Time CDP unified the nine sources into one profile. Journey Optimizer handled orchestration, Experience Manager kept content consistent, and Adobe Target ran the experiments.

In Germany, GDPR-compliant consent is the operating condition for any marketing automation, and it set the boundaries for everything we built. Within them, restraint beat volume. Customers who dropped off mid-purchase got a coordinated sequence across web, email, SMS and app, with the system choosing the timing of each message. If they called in or walked into a store, the agent saw the cart in real time and picked up the conversation where it had stopped.

In the first year: over 100,000 personalised messages, and 21% of cart abandoners returning to complete their purchase within 30 days. The recovery rate came from targeting. Sending more would have lowered it.

The quieter change was organisational. Marketing, BI and Technology moved into one shared data environment with the same profiles, experiment results and real-time analytics. Meetings that used to open with twenty minutes of reconciling dashboards started with the decision. Experimentation became routine, and offline signals from call centres and retail fed back into the same loop.

I established the consent management standards, data transparency protocols and accountability lines across Marketing, IT and Data Privacy that kept all of this durable. Personalisation at this scale only holds up when customers can see it behaving well.

  • 21% cart recovery within 30 days of abandonment; 100,000+ personalised messages in year one.
  • One customer profile across all nine touchpoints, activated in real time from web to retail to call centre.
  • A standing experimentation practice on shared numbers.

The consent and data-unification patterns from this work, in particular how to keep personalisation inside a GDPR boundary, connect to The AI-native Platform Playbook.

Working together

21% cart recovery rate. 100K+ personalised messages. 9 touchpoints unified customer data.

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