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Adobe Real-Time CDP Use Case

Grow customer loyalty for increased lifetime value.

Connect data faster to enhance your customer profiles, unlock deeper insights, and retain customers through improved experiences with Real-Time CDP.

Watch video | Watch video Adobe Real-Time CDP Use Case

Customer social media activity and a personalized an ad

Retain customers with consistent, relevant, and impactful interactions.

Adobe Real-Time Customer Data Platform lets you create consistent and relevant customer experiences by ensuring teams work from unified profiles and governed data sources. With shared visibility and trusted data, every customer touchpoint becomes an opportunity to earn customer retention.

Standardize customer data for consistent customer experiences.

Use Experience Data Model (XDM) in Real-Time CDP to standardize all customer experience data, regardless of source. This ensures the data is easily accessible across the enterprise so all customer touchpoints can be informed by the same customer data. Designed to be extensible and channel agnostic, XDM is built to normalize data and increase consistency and interoperability. You can also access insights faster with pre-built, industry specific data models to help make your customer engagements impactful and grow customer loyalty.

Ingest and activate data faster for more meaningful interactions.

Unify and democratize customer data from many sources, including external enterprise sources or other Adobe applications, to quickly get a 360-degree view of your customer. With data ingestion capabilities and pre-built connectors, data can be streamed in real time and made available to the rest of the organization — unlocking faster time to market for audience building and activation. This informs relevant and timely brand-to-customer connections and ensures you build trust to keep customers returning.

Turn first-time customers into brand loyalists with profiles that power tailored experiences.

With extensive data sources, you can build a robust, unified profile that serves as a decisioning engine to inform the right customer offer, the right delivery channel, and the right moment to engage. This drives repeat purchases and encourages customers to act on cross-sell and upsell opportunities. Teams can also use continuously enriched real-time customer profiles to maintain tailored messaging and experiences, as well as understand the context needed to surface relevant offers so you can transform new customers into brand advocates.

Telefónica Germany customer story

Combines online behavioral data with existing customer information in real time to manage over 1,000 different customer journey use cases.

Read more | Read more Telefonica customer story

TSB customer story

Reduced latency from ingestion to actioning of customer data by 90%.

Read more | Read more TSB customer story

Western Digital customer story

Experienced a 15% increase in cross-sell and upsell purchases.

Read more | Read more Western Digital

Learn more about growing customer loyalty.

Content as a Service v3 - Create and enhance - Friday, January 10, 2025 at 17:27

Questions? We have answers.

How does Real-Time CDP help me keep customers, not just acquire them?

Real-Time CDP supports retention by maintaining deep, real-time profiles of existing customers and using Customer AI to spot who is at risk of lapsing, so you can act before they churn rather than after. It combines first-party behavioral, AI-derived, and offline transaction data into a profile that reveals changing engagement, then lets you build "don't lose" audiences of at-risk customers and deliver relevant experiences to them. The same platform that finds new customers is what sustains the ones you have.

Can Real-Time CDP predict which customers are about to churn?

Yes, Customer AI (included with Real-Time CDP) predicts churn propensity at the individual level and explains the factors driving each prediction, so you can target retention at the specific customers most likely to leave. Those predictions become audiences you can act on, and you can prioritize outreach by risk rather than treating your whole base the same. Prediction with explanation is what turns retention from a broad campaign into a focused, evidence-based one.

How do I deliver consistent experiences to existing customers across channels?

Consistency comes from every channel drawing on the same real-time profile, so a customer's latest state and preferences inform the experience wherever they are reached. Real-Time CDP activates the retention audiences you build to your channels and destinations, and because the profile is shared, the message a customer gets in one channel reflects what they did in another. That shared foundation is what keeps retention outreach coherent instead of each channel acting on its own stale copy.

Do I need Journey Optimizer to act on retention audiences from Real-Time CDP?

Not to activate them, but you would add Adobe Journey Optimizer to orchestrate multi-step retention journeys. Real-Time CDP can build a churn-risk audience and activate it to your channels on its own; Journey Optimizer adds the ability to run a coordinated, triggered journey (a sequence of next-best actions and messages timed to each individual) on that same shared profile. Many retention programs use both: Real-Time CDP for the audience and activation, Journey Optimizer for the orchestrated recovery journey.