Bridging the gap: How Adobe brings brand value to life by connecting marketing and data teams.

Ryan Fleisch

06-17-2026

The gap that holds great brands back.

Behind every great brand experience is a team of marketers with a clear vision, a message and a target audience. But too often, by the time that vision reaches the customer, something has been lost.

A segment wasn’t refreshed in time. The content couldn’t be adapted fast enough. The data lived in a warehouse that marketing couldn’t easily access or activate within necessary systems without filing a ticket. Often the ticket wasn’t picked up in time and the moment the marketer has been envisioning is lost.

This is the gap between marketing and data teams — and it’s not a technology problem in the conventional sense. The data is there. The creative talent is there. The brand vision is there.

What’s missing is a platform that lets all three work together in real time, with the governance IT and data teams require and the agility marketing demands.

Adobe has been helping customers to solve this customer experience orchestration challenge for years, leaning on our deep understanding of marketing, creativity and customer data.

This isn’t just a data platform with marketing features added on. It’s built to connect data, content and activation so teams can create customer experiences from one system.

The world’s most iconic brands don’t simply collect data. They turn it into moments that feel personal, on-brand and relevant. Adobe solutions, such as Adobe Experience Platform, make possible that at enterprise scale with in-the-moment speed, giving marketing teams the power of enterprise data without relying on data engineers.

One platform, two languages: Data and brand.

The fundamental challenge of bridging data teams and marketing is that both teams speak different languages.

Data teams speak in schemas, governance policies and access controls. Marketing speaks in audiences, journeys and moments. Most platforms force one team to learn the other’s language. Adobe does something different: it translates between them.

Adobe CX Enterprise and its Adobe Experience Platform are built so that data teams can define the data models, governance rules, consent policies and identity frameworks that the enterprise requires and marketing teams can work freely within those boundaries, using interfaces designed for their craft.

For example, a campaign manager building an audience in Adobe Real-Time CDP is querying the same governed data as the data engineering team. They’re just doing it through a visual builder instead of a SQL terminal.

That’s the bridge. Not a connector between two separate systems, but rather a single, interoperable, platform with a shared data foundation that both teams can trust and intuitive purpose-built interfaces for each.

While working with external platforms, such as a data warehouse is critical, the research shows that warehouses alone do not solve all use cases.

In a recent survey of 150 customer data platform executives and practitioners, confidence in data warehouses was strongest for foundational tasks: 91% for ingesting data and 79% for aggregating and preparing it. Confidence dropped for more activation-orientated use cases, falling to 68% for updating a customer profile and serving the next-best experience in real time and to 64% for informing AI agents with real-time customer context.

Connecting marketing, IT, content and data has long been central to Adobe’s approach.

Only now are technology, data companies and others making similar pivots and shifts, providing clear validation of our long-term strategy.

What Adobe can offer.

Adobe connects the signal from your data to the delivery of your marketing and customer experiences across all touchpoints, from agentic, to web, to email, to social and more — with the content, context and intelligence layer that makes every experience impactful.

Capabilities
Adobe CX Enterprise Solutions
Other Typical Enterprise SaaS Solutions
Real-time profile syncing, identity management and activation
Sub-second audience qualification for in-the-moment personalisation. Identity management merges unknown to authenticated profiles in real-time and quickly triggers segment re-evaluation and journey actions.
Profile updates, sometimes tied to static datasets or slow moving “golden records,” don’t automatically fire downstream personalisation, creating latency between insight and action.
Omnichannel activation with built in data collaboration
Native connectivity, often via streaming real-time connectors to 500+ ecosystem integrations including all major ad platforms with a built-in data collaboration tool which unlocks marketing-friendly clean room workflows.
Activation partners are often limited, especially for real-time, streaming audience updates with limited advertising destinations.
Content supply chain that powers generative AI personalisation
Firefly generative AI, brand visibility tooling and production workflows connect creative production directly to audience activation. Generates, governs and activates on-brand content at scale.
Lack of or limited content creation capabilities. Platforms activate audiences but cannot produce or govern the experiences customers see. Creative assets usually come from separate tools with no native integration.
Journey orchestration
Evaluates signals in real time across email, push, web, in-app and paid media, carrying brand context, content assets and channel rules natively.
Orchestration capabilities may be emerging or limited to triggering third-party tools. No or limited native content layer means journeys activate audiences but don’t own the experience delivered.
Insight to activation loop
Embedded planning, analysis, prediction, measurement and optimisation in an integrated fashion to empower faster and more informed decisions
Often limited, marketer-friendly analytical capabilities. Could require additional technology or IT expertise.
Autonomous agents for orchestrating customer experiences
CX Enterprise Coworker acts as a force multiplier for teams, helping to co-ordinate content creation, activation, analysis and more with human oversight and native governance
AI capabilities and agents sometimes focus on the data and identity layer: propensity scoring, segment suggestions. Content generation, co-ordination and brand governance may be out of scope.
Data governance & compliance
DULE framework, via Adobe Experience Platform, enforces data policies at schema level, propagating through segmentation and activation upon configuration. HIPAA-readiness built into the platform
Strong data governance is sometimes applied at the infrastructure level. Application-layer compliance controls and tools (HIPAA-readiness) are less mature. Policy enforcement requires manual oversight.
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Brands that closed the gap.

Let’s look at some real stories of Adobe customers who used Adobe CX Enterprise to connect their data, their teams and their brand, delivering experiences that reflect who they are.

AUTOMOTIVE - General Motors

GM needed a platform that could be stood up quickly for their paid media activation use cases, simplifying off-line data sources and solving for identifying known customers. Additionally, Adobe met their requirements around their long-term strategic use cases for real-time personalisation and journey orchestration. With Adobe, GM found a partner to “provide a centre of gravity that allows us to connect with customers in a relevant and highly customised fashion”

Read the full story

RETAIL - HanesBrands

HanesBrands, parent to Hanes, Playtex and Maidenform transformed their consumer data strategy with Adobe. Their team can now identify and target high-value customer segments with relevant messages and product recommendations across all their brands, with retargeted customers becoming three times more likely to make a purchase. A 57% revenue increase from retargeted email campaigns reflected the direct impact of connecting data science with brand execution.

Read the full story

FINANCIAL SERVICES - TSB Bank

TSB became the first UK bank to implement Adobe CX Enterprise, using it to deliver personalised experiences across in-person, phone and mobile channels. By connecting data, AI and a modern content supply chain through Adobe, TSB’s marketing team can create real-time, relevant experiences that reflect the bank’s core brand promise: helping every customer feel heard, understood and confident. As CMO Emma Springham put it: “Using the Adobe suite of solutions and support, we’re helping customers feel heard, understood and confident in every interaction.”

Read the full story

CONSUMER GOODS - Coca-Cola

Coca-Cola consolidated regional data platforms from across the world into a single foundation with Adobe, enabling unified real-time insights across their global customer base. Marketing teams in APAC activated customer segments to build look-a-like audiences, increasing their Facebook match rates by 3% and driving new customer acquisitions. Personalised rewards programme emails achieved a 40% open rate — more than 13 times the industry standard — demonstrating what brand loyalty looks like when data and content work together.

Read the full story

PROFESSIONAL SERVICES - EY

EY used Adobe CX Enterprise to create a unified view of global clients — connecting data from proprietary platforms with Real-Time CDP, Adobe Experience Manager and Marketo Engage. Adobe’s data usage and enforcement framework gave account and marketing teams a single governed location for consent management, allowing them to create more relevant communications while staying fully compliant. As their team noted: “Adobe Real-Time CDP is a big win from a marketing data and compliance perspective.”

Read the full story

The opportunity ahead: The brands that will win aren’t the ones with the most data. They’re the ones that can act on it quickly and with precision.

Technology and data companies vying for the attention of the CMO and creating offerings for marketing teams is a signal that the bar for what’s technically possible has risen. Customers expect more relevance, responsiveness and experiences that feel like the brand knows them. The question for every enterprise is whether the platform they choose can translate that investment into brand moments.

That translation, from signal to experience, from data model to brand moment, is what Adobe has been delivering for 25 years. The companies that are pulling ahead in the next era are the ones that close the loop: unified data feeding real-time profiles with context, real-time profiles feeding on-brand content and that content reaching customers in the moments that matter. Not across separate systems, but as one.

Ready to close the gap?

Talk to an Adobe representative about how your team can bridge data and marketing — and bring your brand's full value to life.

Request a demo today.

Questions we’re hearing from customers

As new entrants expand into the marketing platform space, customers are asking the right questions. Here are honest answers.

Does Adobe force us to copy data out of our data warehouse?

No. Adobe offers table to table, zero copy sharing, such as Delta Sharing with Databricks. Adobe’s Federated Audience Composition, available in Real-Time CDP and Adobe Journey Optimizer, allows you to run audience queries directly against your existing data warehouse — Snowflake, Google BigQuery, Amazon Redshift or Databricks — without moving data into Adobe’s systems. Only audience membership results are activated. This directly addresses the “data copy” critique levelled at legacy CDPs and ensures your IT team retains full control of the underlying data estate.

How does Adobe help IT teams specifically, not just marketers?

Adobe Experience Platform gives IT teams what they need: a governed data foundation built on open standards (XDM), HIPAA-readiness, automated data policy enforcement through DULE and a federated architecture that respects existing data warehouse investments. IT teams define the rules; Adobe enforces them automatically downstream. Marketing teams operate freely within those guardrails — which means fewer governance exceptions, fewer compliance reviews and fewer tickets.

How does Adobe’s approach to agentic AI differ from data-native platforms?

Adobe’s AI capabilities — including CX Enterprise Coworker for orchestrated customer experiences with automated workflows — operates across the full content-to-activation-to-measurement stack. Data-native platforms are beginning to add marketing AI features, but they lack the content and context layer: the ability to generate, approve, govern and activate on-brand creative assets at scale. Adobe’s agents don’t just decide who to reach — they can produce what to show them and ensure it’s consistent with the brand.

How does Adobe handle the needs of regulated industries?

Adobe Experience Platform is HIPAA-ready. In addition, TSB Bank, EY and U.S. Bank are among the regulated-industry customers who have used Adobe to close the gap between compliance requirements and personalised brand experiences using advanced data governance, inclusive of customer managed keys, automated dataset retention and deletion, advanced consent enforcement policies and attribute-based access controls in Adobe’s tools.

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Title
Bridge the gap between data and marketing.
CardDescription
Discover how Adobe connects data, content and activation into one system and helps marketing and IT teams work together.
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2026-06-17
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caas:content-type/blog, caas:products/adobe-real-time-cdp, caas:topic/customer-data-management