JE

Performance Media & AdTech Consultancies · Agency & Consultancy · MarTech Vendor

Jellyfish

Global digital marketing agency with proprietary media and AI tools.

Available information varies by company and source.

Profile record updated:

Company facts

Official name
Jellyfish Digital Group Limited
Entity type
COMPANY
Founded
2007
Market cluster / sector
Performance Media & AdTech Consultancies
Market role
Agency & Consultancy · MarTech Vendor
Official website
jellyfish.com

What Jellyfish does

Jellyfish operates a hybrid agency and software model. It delivers managed marketing services across media, creative, data and strategy, then reinforces those services with proprietary tools for bidding, creative automation, analytics, copy optimisation and LLM visibility tracking. Value is created by combining service delivery, platform-enabled efficiency and cross-functional execution for enterprise clients across multiple digital channels and markets.

Category differentiation

Jellyfish is a digital marketing agency and MarTech operator, not the marine animal reference or a standalone foundational AI model company. It differs from pure holding-group agencies by selling proprietary optimisation, analytics and creative automation tools alongside services.

Strategic context

AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.

Jellyfish is a private global digital marketing agency within The Brandtech Group. It sells integrated media, creative, data, consulting and training services to enterprise brands, and it also develops proprietary marketing and analytics products including J+ Bidding, Share of Model, Switchboard, AI Studios and J+ Scribe. Its customer base consists primarily of large advertisers, marketing teams, communications teams and in-house media or trading functions. The company generates revenue through agency retainers, project fees, training and consulting fees, and technology-led commercial arrangements tied to media execution and optimisation. Its product layer strengthens the core services model by improving performance marketing, creative production, LLM visibility measurement and campaign analytics, giving Jellyfish a hybrid agency-plus-MarTech positioning rather than a pure software vendor profile.

Company news briefing

Briefing updated:

Jellyfish has expanded its Share of Model platform with Shopping Optimization capabilities to help brands measure the drivers behind AI-driven product recommendations. Complementing this tech expansion, the agency engineered HOKA's 'Run Your City' challenge on Strava to merge community engagement with digital out-of-home campaigns. Furthermore, recent industry analysis by Jellyfish highlights how emerging AI assistants like Alexa and ChatGPT function as new commercial gatekeepers for retailers.

Business model & monetisation

Jellyfish uses a blended commercial model combining service fees, retainers, project-based pricing and media-related fees with proprietary technology monetisation. Managed media services generate fees or margin linked to campaign scope and advertising spend. Creative, localisation, consulting and training services are sold through scoped engagements or retained relationships. Proprietary platforms such as J+ Bidding, Share of Model, Switchboard and AI Studios are bundled into enterprise engagements or licensed as software capabilities, typically through customised B2B contracts rather than self-serve pricing.

Managed media services
Service Fee
Creative and production services
Service Fee
Consulting, training and strategic services
Service Fee
Proprietary software and platform-enabled engagements
Software Subscription

Products & capabilities

No products with linked sources are available in this view.

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Programmatic stack & registry data

Registry entries and observed technical data do not establish certification, legal compliance or actual usage.

Jellyfish France

IAB vendor record: 49

Cookies declared
Yes
Non-cookie access declared
Yes
Declared purpose IDs
1, 2, 3, 4, 5, 6
Declared feature IDs
1, 2
Declared special feature IDs
1

Recent recorded signals

Dates refer to the source publication. Older entries are historical context, not evidence of a new event.

  • Brandtech's Rebecca Sykes on AI Implementation Challenges

    adexchanger.com

    AI Implementation · Recorded impact score: 2/5

    In a podcast interview, Rebecca Sykes, partner at The Brandtech Group and head of its emerging technology practice, argues that generative AI can work with messy, siloed data, contrary to conventional wisdom. She emphasizes that brand-specific data, even if disorganized, prevents AI outputs from becoming generic. Sykes highlights that many AI pilots fail at scale because companies only automate isolated steps without re-engineering the entire workflow, using the 'frog in a sock' analogy. She advocates for building new operating models around AI capabilities, focusing on people, processes, and new roles like AI governance. The episode also discusses Brandtech's new global data and AI practice, Jellyfish's 'share of model' tool, and the importance of video in AI brand recommendations.

    • Rebecca Sykes is a partner at The Brandtech Group and leads its emerging technology practice.
    • Sykes argues that generative AI can work with messy, siloed data, not just pristine data.
  • Black History Month: Culture Chats, with Global Chief People Officer, Annabelle Walters

    jellyfish.com

    Recorded impact score: 2/5

    Annabelle Walters, Global Chief People Officer at Jellyfish, joined The Digital Voice™ Black History Month Culture Chats for a candid discussion, unpacking what it truly means for black women to own their space in executive leadership, whilst navigating the nuanced reality of vulnerability at the top.

  • Harvard Study: AI Does Not Truly Boost Developer Productivity

    t3n.de

    AI · Recorded impact score: 3/5

    A study by Harvard researchers Fiona Chen and James Stratton, based on data from the engineering analytics platform Jellyfish covering 300 million work outputs from over 700,000 employees at 718 companies (January 2021 to March 2026), finds that while AI coding tools increase code output, these gains do not translate into actual productivity improvements. Reactive AI assistants led to a 12% increase in lines of code and a 9% increase in commits, but only the commit effect was statistically significant. Semi-autonomous AI agents showed larger increases (30% more code lines, 20% more commits, 23% more pull requests), but the review bottleneck negated these gains. The average time to review a pull request rose by 49%, the share of pull requests requiring changes nearly doubled, and comments per pull request increased by 35%. The proportion of engineers doing code reviews rose by 14%. Qualitative interviews with 21 professionals confirmed that AI speeds up routine tasks but requires more manual checking for complex tasks.

    • Harvard researchers analyzed 300 million work outputs from Jellyfish, covering 718 companies and over 700,000 employees from January 2021 to March 2026.
    • Reactive AI assistants increased code lines by 12%, commits by 9%, and pull requests by 5%, but only the commit effect was statistically significant.
  • Search as the Decision Engine: Google Updates and What they Mean

    jellyfish.com

    Recorded impact score: 2/5

    Jellyfish Search Architects Victor Batista (Global) and Ryan Potts (EMEA) unpack Google's latest agentic commerce updates and their impact on consumer consideration.

  • Jellyfish Brings UGG® Season to Life with Striking & Evocative Advertising Campaign

    jellyfish.com

    Recorded impact score: 3/5

    In UGG®'s largest out-of-home statement of the year, Jellyfish is leading the localized creative and media planning for the brand's new Fall 2026 campaign. Elevating the Born To Feel brand platform and UGG® Season, the activation celebrates the arrival of fall across New York City and Los Angeles.

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Questions about Jellyfish

What is Jellyfish?

Jellyfish is a private global digital marketing agency within The Brandtech Group that combines managed media, creative, data, consulting and proprietary marketing technology.

Who uses Jellyfish?

Jellyfish is used by enterprise brands, in-house marketing teams, media buyers, communications teams, ecommerce functions, creative teams and organisations seeking digital marketing training.

How does Jellyfish make money?

Jellyfish makes money through agency retainers, project fees, consulting and training engagements, media-related fees and commercial use of its proprietary marketing and analytics platforms.

Sources & coverage

This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.

17 publicly documented primary sources and citations linked across the market graph.

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