Credera
Dallas consultancy owned by Omnicom, linking AI strategy with marketing technology
What is Credera?
Credera started in Dallas in 1999 and has been majority-owned by Omnicom since 2018; it reports 3,500+ consultants and engineers. It launched a global AI council in 2023 and is split into a consulting unit, covering strategy, data, and AI, and a separate digital unit. Its natural clients are marketing and customer-experience leaders who want AI plans tied to the marketing technology they already run.
Credera works primarily with clients in Retail, Consumer goods, Financial services, Healthcare, Technology, Energy sectors. Its primary differentiator is: AI strategy connected to marketing technology through Omnicom ownership.
Credera tech stack and services
| Service area |
|---|
| AI Strategy & Roadmap |
| Data Strategy |
| Implementation After Strategy |
| Change Management |
Credera pricing
Short answer: Credera prices its work as follows: consulting fees per engagement; rates not published. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Strategy & roadmap engagement | Fixed fee; quoted per scope | Choosing and sequencing AI use cases |
| Delivery team | Team rate; see pricing model above | Building what the roadmap recommends |
Credera pros and cons
| Advantages | Things to consider |
|---|---|
| +Connects AI plans to marketing and customer-experience systems | -Owned by an advertising holding company, so check for conflicts if you compete with Omnicom clients |
| +Access to Omnicom's agency resources for campaign work | -AI strategy outside marketing and customer experience is less proven |
| +Management consulting and engineering in one firm | -Rates and minimums are not published |
| +Large US presence for on-site work |
Credera vs alternatives
How Credera compares to the other top AI Strategy Consulting consultants.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| QuantumBlack, AI by McKinsey | Large enterprises running AI as a CEO-level program. | Board-level strategy and change management backed by McKinsey's own AI engineering group | 4.6 | Full comparison |
| Fractal | Consumer and financial firms wanting AI depth from... | Twenty-five years of AI and analytics delivery behind its strategy work, with its own platforms to build on | 4.5 | Full comparison |
| Tensorway | Mid-market leaders wanting a costed AI roadmap fast. | A 3–6 week strategy engagement that ends in a sequenced, costed roadmap the same team can build | 4.4 | Full comparison |
| BCG X | Enterprises wanting prototypes built during strategy. | Builds working prototypes during the strategy phase, with BCG's industry and change practices behind it | 4.3 | Full comparison |
| Artefact | European consumer and retail brands, strategy through build. | Data and AI consulting from strategy partners and engineers in one firm, with a wide European base | 4.3 | Full comparison |
| Deloitte | Regulated enterprises needing AI governance with the strategy. | AI strategy backed by risk, audit, and regulatory teams under one roof | 4.2 | Full comparison |
| Accenture | Global companies planning an enterprise-wide AI rollout. | Strategy that hands off to one of the largest delivery organizations in the world | 4.2 | Full comparison |
| West Monroe | US mid-market firms tying AI to operations. | Operations-first AI strategy from a partly employee-owned consultancy | 4.2 | Full comparison |
| Neurons Lab | Banks and insurers building AI on AWS. | Financial-services AI strategy from an AWS Machine Learning Competency partner that builds the prototypes | 4.2 | Full comparison |
| ML6 | Benelux and German firms wanting EU-based AI expertise. | European AI strategy and engineering from an OpenAI services partner | 4.2 | Full comparison |
| Slalom | North American firms wanting local, on-site AI consultants. | Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them | 4.1 | Full comparison |
| Thoughtworks | Engineering-led companies modernizing software with AI. | Engineering-practice depth applied to AI strategy, with its tool opinions published in the Technology Radar | 4.1 | Full comparison |
| Tiger Analytics | Enterprises wanting strategy plus lower-cost offshore delivery. | AI roadmap work that feeds directly into large India-based data science teams | 4.1 | Full comparison |
| DAIN Studios | Nordic and German firms wanting advisory-led AI planning. | Advisory-led AI and data strategy, with governance and skills building for Nordic and German clients | 4.1 | Full comparison |
| Sia Partners | Energy and financial firms wanting consulting plus AI... | Management consulting paired with its own Heka.ai software products | 4.0 | Full comparison |
| Elder Research | US agencies and firms wanting seasoned data science... | Three decades of applied data science behind its feasibility calls on AI use cases | 4.0 | Full comparison |
| Ekimetrics | Marketing-led companies tying AI to measurable returns. | AI strategy anchored in marketing measurement and sustainability metrics | 4.0 | Full comparison |
| Centric Consulting | US mid-size firms wanting governed, practical AI adoption. | Practical AI adoption with acceptable-use policies and centers of excellence for mid-size firms | 4.0 | Full comparison |
| Quantiphi | Companies committed to Google Cloud or AWS. | Use-case discovery from a top-tier Google Cloud and AWS engineering partner | 4.0 | Full comparison |
| deepsense.ai | Technical teams wanting AI strategy from model builders. | Strategy workshops run by engineers who build vision and language models | 3.9 | Full comparison |
| Launch Consulting | Microsoft-centric companies on the US West Coast. | AI-first operating-model work with Microsoft-based builds and nearshore delivery | 3.9 | Full comparison |
| Datatonic | Google Cloud users planning their first AI programs. | Use-case planning and builds from a much-awarded Google Cloud partner | 3.9 | Full comparison |
| Future Processing | Mid-size firms wanting AI advice at Central European... | AI readiness and strategy work at published Central European rates | 3.8 | Full comparison |
| Addepto | Manufacturers wanting a small first AI engagement. | Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries | 3.8 | Full comparison |
| RTS Labs | US firms testing one AI idea on a... | The lowest entry point reviewed here, with feasibility proofs in place of strategy decks | 3.8 | Full comparison |
| Fusemachines | Firms that want AI strategy plus staff training. | AI strategy tied to its own training programs and lower-cost engineering centers | 3.7 | Full comparison |
Credera FAQ
What is Credera?
Dallas consultancy owned by Omnicom, linking AI strategy with marketing technology
How much does Credera charge?
Pricing model: consulting fees per engagement; rates not published. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Credera use?
Credera works with Salesforce, Adobe, AWS, Azure, Google Cloud. Primary industries served include Retail, Consumer goods, Financial services, Healthcare, Technology, Energy.
Is Credera right for enterprise?
Best for: marketing and CX leaders planning AI around martech. Team size: 3,500+. Key consideration: Owned by an advertising holding company, so check for conflicts if you compete with Omnicom clients.
What are the best Credera alternatives?
The best alternatives to Credera depend on your use case. Top options are:
- QuantumBlack, AI by McKinsey: board-level strategy and change management backed by McKinsey's own AI engineering group
- Fractal: twenty-five years of AI and analytics delivery behind its strategy work, with its own platforms to build on
- Tensorway: a 3–6 week strategy engagement that ends in a sequenced, costed roadmap the same team can build
Compare Credera with other AI Strategy Consulting consultants
Verify all details directly with Credera before making a decision.