Credera, the transformation consulting firm owned by Omnicom, has signed a five-year strategic collaboration agreement with Amazon Web Services (AWS) to help enterprises modernize marketing infrastructure, unify customer data and move AI applications into production. The collaboration combines Credera’s consulting and engineering capabilities with AWS cloud services and Omnicom’s identity data, media expertise and Omni marketing intelligence platform. The partners will target six industries across North America, Europe and Asia-Pacific, with planned solutions spanning marketing data architecture, agentic automation, privacy-conscious advertising and broader enterprise cloud modernization.
Credera and AWS Expand Enterprise Marketing AI Push
Credera has entered a five-year strategic collaboration agreement with Amazon Web Services (AWS) to develop cloud and AI capabilities for enterprise marketing transformation, extending the consulting firm’s work into data modernization, advertising technology and AI-enabled business operations.
The agreement brings together Credera’s technology consulting and delivery expertise, Omnicom’s marketing relationships and data capabilities, and AWS infrastructure and AI services. Solutions developed through the collaboration can also integrate with Omni, Omnicom’s AI-powered marketing and sales intelligence platform.
The companies plan to focus on consumer packaged goods, energy, healthcare and life sciences, automotive, the public sector, and media and entertainment across North America, Europe and Asia-Pacific.
The announcement reflects a wider enterprise technology challenge: companies are investing in AI for marketing, but fragmented customer data, legacy infrastructure and disconnected applications can prevent pilots from becoming production systems. The Credera-AWS agreement is designed to address those dependencies through a combination of cloud engineering, data architecture, identity resolution and AI implementation.
Unlike a narrowly defined marketing software deployment, the collaboration also aims to connect marketing technology with other enterprise functions, including supply chain operations and connected vehicle intelligence.
Dedicated AWS Business Unit Supports Delivery
Credera says it has established a dedicated AWS Business Unit to support the agreement, with investments planned across business development, solution architecture, alliance operations and delivery.
One existing offering is the Marketing Data & Analytics Foundation, available through AWS Marketplace. The consulting engagement assesses, designs, engineers and operationalizes marketing data architecture aligned with AWS best practices. Its purpose is to create a governed data layer that supports analytics, personalization and AI applications.
The partners also outlined a roadmap of potential offerings using AWS services. Planned areas include intelligent contact centers built around Amazon Connect, AI-assisted migration, agentic marketing automation using Amazon Bedrock and Amazon Bedrock AgentCore, and privacy-conscious advertising activation using AWS Clean Rooms and Amazon Marketing Cloud.
Credera is targeting 12 to 15 AWS Marketplace listings over the collaboration’s five-year term. That is a future goal rather than a count of solutions already available.
The firm also plans to expand AWS training and certifications across its workforce of approximately 3,000 people. This investment will support the consulting, engineering and implementation skills required to move enterprise AI projects beyond experimentation.
The dedicated business unit gives the collaboration an operating structure for building and delivering solutions, although the companies have not disclosed the agreement’s financial value, specific revenue targets or a detailed deployment timetable for the planned offerings.
Marketing Data and Identity Form the Foundation
A central focus of the collaboration is connecting customer information that sits across separate marketing platforms, data environments and business systems.
Credera’s MarTech Intelligence offering is intended to bring together governed data foundations, identity resolution and agentic marketing automation. The proposed architecture includes AWS Entity Resolution and Omnicom’s Omni platform, alongside Acxiom’s Real ID and Omnicom’s stated global identity graph of 2.6 billion verified identities.
Identity resolution helps organizations associate records that refer to the same person or household across different datasets. In marketing, that can support audience planning, personalization and measurement. But effective implementation depends on data quality, consent, governance and the ability to manage identity information appropriately across systems and jurisdictions.
The collaboration also targets AdTech Intelligence, which aims to help advertisers use first-party data for privacy-conscious activation and measurement. AWS Clean Rooms and Amazon Marketing Cloud are part of the proposed technology stack, while Amazon Bedrock and Bedrock AgentCore are identified for agentic workflows and autonomous bid optimization.
These components serve different purposes. Clean-room technologies can support analysis across datasets under defined controls, while marketing analytics environments help advertisers examine campaign and audience performance. AI agents may automate parts of campaign operations, but their effectiveness will depend on the quality of the signals, constraints and performance measures supplied to them.
The announcement does not specify the precise architecture or safeguards that will govern the planned autonomous bidding capabilities. Those details will matter to advertisers assessing control over campaign decisions, explainability and operational risk.
Enterprise Modernization Extends Beyond Marketing
Credera and AWS are positioning marketing transformation as an entry point for broader cloud adoption. The enterprise modernization work will cover AI development lifecycles, AI-powered migration and data platform modernization.
This strategy reflects a common constraint in enterprise AI: deploying a model or agent is only one part of production readiness. Organizations also need suitable data infrastructure, integration with existing applications, operational monitoring, security controls and employees who understand how to use the technology.
The partners say their work can connect marketing platforms with supply chain optimization, link connected vehicle telemetry with personalization systems, and bring retail media measurement closer to inventory management. These use cases would extend the collaboration into operational data flows beyond traditional campaign management.
Credera also plans to apply behavioral science and organizational psychology to help clients assess readiness and support adoption. That addresses the organizational side of transformation, where technical deployments can stall if processes, roles and employee practices do not change alongside the technology.
Early Results Offer a Starting Point, Not a Guarantee
Credera cited previous projects on AWS to demonstrate its implementation experience. The company says a global pharmaceutical company achieved a 30% increase in consumer marketing ROI, a major consumer goods brand recorded 92% higher purchase rates through AWS Clean Rooms, and an airline completed a cloud migration in less than 18 months instead of a planned three-and-a-half years.
These are company-reported results from separate engagements, not independently verified forecasts for customers entering the new collaboration. The announcement does not provide the baselines, measurement periods or methodologies needed to compare the outcomes directly.
For enterprise buyers, the key question will be whether the partners can reproduce measurable gains across different industries while managing implementation complexity, data governance and ongoing cloud costs.
The five-year agreement establishes a framework for combining consulting, cloud infrastructure, identity capabilities and AI services. Its long-term significance will depend on how quickly the partners bring planned offerings to market and whether enterprises can translate integrated data and AI systems into reliable operational outcomes.
Market Landscape
Enterprise marketing technology is converging with cloud modernization and AI agent deployment. Businesses need connected customer data, consistent identity resolution and governed infrastructure before AI can reliably support personalization, campaign optimization and customer engagement at scale.
The Credera-AWS agreement combines consulting and implementation services with AWS data, AI and cloud offerings and Omnicom’s marketing capabilities. Its planned Marketplace portfolio could make packaged consulting engagements easier for AWS customers to discover and adopt.
The competitive challenge is execution: enterprises will assess integration complexity, privacy controls, time to production, cost and measurable results. The partners’ historical case studies provide context, but future performance will depend on individual deployments and transparent measurement.
Top Insights
- Five-year collaboration: Credera and AWS will develop enterprise marketing and cloud solutions across six priority industries in North America, Europe and Asia-Pacific.
- Dedicated delivery capability: Credera has established an AWS Business Unit and plans to expand training and certifications across its workforce.
- Marketing data and identity: Proposed solutions combine governed data architecture, identity resolution, Omni and AWS services to support personalization and analytics.
- Agentic marketing roadmap: Planned offerings include Amazon Bedrock-based automation and AI-supported advertising activation, with a target of 12–15 Marketplace listings.
- Broader cloud modernization: The partners aim to connect marketing systems with enterprise functions such as supply chain operations and connected vehicle intelligence.
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