martechoutlookapac

Jellyfish Unveils New Tech, New Look: Launches AI-Powered Media In-Housing Platform Alongside Rebranding

Martech Outlook | Monday, June 08, 2026

Launch Completes 12-Month AI Transformation for Jellyfish, Reflected in Bold New ‘Move Faster, Smarter, Together’ Rebrand

Agentic Solution for In-Housing Automates Media Research, Evaluation, Content Strategy and Activation, Delivering Cost Reduction & Performance Improvement

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

London UK – Jellyfish, the leading global digital marketing company under The Brandtech Group, has unveiled a first-of-its-kind AI-driven in-housing media platform. Built on the company’s automated marketing system, the platform is a unified framework that taps into a range of proprietary AI agents and tools, including Jellyfish’s recently released Media Ops Agent. 

Jellyfish has successfully utilized these AI technologies with various brand clients, but now, for the first time, marketers can access its full suite as a comprehensive, end-to-end solution to bring their media programs in-house, easily automating media research, evaluation, content strategy and activation. 

The platform's agentic workflows offer marketers significant advantages, including:

• Accelerated Time to Launch: Decreases time to launch campaigns by 65%.

• Reduced Infrastructure Costs: Lowers infrastructure expenses by an average of 22%.

• Error-Free Launches: Ensures flawless campaign executions with AI-driven precision, including 100% adherence to Google, Meta, and Amazon best practices within hours.

• Augmented Performance: Boosts campaign performance by an average of 30%.

Plus, the platform automatically adjusts campaigns to stay within the allocated budget and continually optimizes them for performance every 2 hours, 24 hours a day, 7 days a week.

This new tool builds upon Jellyfish’s established support for brand clients’ in-housing efforts. Prior to this release, the company facilitated in-housing initiatives through its Jellyfish Training program. Offering over 250 courses, this program encompasses subjects such as Social Media, Search, and Programmatic. Notably, the program also features comprehensive training on Gen AI, with 15 new courses added just within the past year.

The company’s work in the in-housing space is also founded on proven expertise within The Brandtech Group. Brandtech’s OLIVER, is the world's first and only company dedicated to designing, building, and running in-house agencies and marketing ecosystems. It currently serves over 500 brands in nearly 50 countries.

Jellyfish’s launch of the new in-housing media platform is the last piece of a 12-month AI development program, which saw the company overhaul every aspect of the traditional marketing mix from insights to SEO, assets to activation, and MMM to reporting. In addition, the transformation is in direct alignment with The Brandtech Group and its established leadership in providing large-scale Gen AI services since 2018. 

Marking this milestone, Jellyfish is also introducing a rebranding that features a new logo, visual representation and the tagline “Move Faster, Smarter, Together” – all reflective of the company’s significant AI developments and transformation, alongside its entrepreneurial roots.

“In merely a year, we have been able to create 235,000 pieces of content for three of the world's top 10 advertisers with the content on average being produced 62% faster, 55% cheaper and delivering a 40% improvement in ROI. This represents a totally new integrated AI approach – driving remarkable results,” said Natalie Winford, Chief Solutions Officer, Jellyfish.

"For brands eager to take control of their media, Jellyfish’s new media in-housing platform automates marketing analytics, freeing teams to focus on strategy, not data entry. Moreover, it also integrates an advanced MMM tool, which quickly and precisely determines the marketing contribution to KPIs to make macro budgetary decisions,” said Jeff Matisoff, Partner, Jellyfish. “Thanks to Jellyfish's agentic media system, it's finally time for marketers to power their in-house media teams with AI as opposed to just shifting agency headcount into their own org. In-housing demand is high, with the ANA reporting that 80% of its members have in-house agencies – and AI is predicted to spark expansion.”

“In the last 12 months we have challenged ourselves to build and run tech that answers client needs around speed, insight, transparency, measurement, invention and cost. This latest launch is a primary example of a totally new marketing strategy – underpinned by AI,” said Nick Emery, CEO, Jellyfish. “Our new identity reflects our ability to combine both left and right brains for progressive brands in ways that others can’t.  We are about speed, outcomes and invention. As 'Good to Great' says you can’t invent your company identity you have to discover it. You cannot just claim to be something that you inherently are not. ‘Move Faster, Smarter, Together with AI’ is true to our entrepreneurial DNA, our amazing, inventive talent and the cutting-edge technology we develop every day.”

“Crafting Jellyfish’s new brand was an enticing challenge,” said Jo Wallace, Global Executive Creative Director, Jellyfish. “We set out to capture the company's collaborative energy, diverse expertise, and AI prowess, bringing them together in a dynamic visual identity that demonstrates how we ‘Move Smarter, Faster, Together’ to drive growth for our clients.”

Appendix

The Jellyfish 12-month development program has built AI into every discipline; 

Switchboard, which was officially released in March 2024, is Jellyfish’s single source of truth cloud-based reporting suite. Prioritizing audience and creative insights and customized for each marketer’s campaign requirements, Switchboard is how Jellyfish clients keep real time performance at hand.

Jellyfish launched AI Studios in April 2024 to drive the adoption of Pencil and reinvent how content at scale is delivered. Its AI-powered platform scales creative delivery like never before, enabling the production of hyper-relevant, localized content in real-time. By integrating creative seamlessly into performance strategies, Pencil turned campaigns into engines of innovation and efficiency.

At the same time, the company launched the Creative Collective to drive both tech-enabled creative ideation and the premium that still exists around social led human-generated content - winning the Grand Clio for its work with Netflix.

Search has always been central to Jellyfish but pioneering One Search gives them an award-winning edge in the market - innovating with its clients in a search landscape that continues to grow in terms of complexity, fragmentation, and disruption from AI. OneSearch won two awards in 2024 for work with Swarovski, recognizing its ability to generate more growth for less spend.

Over the course of 2024, Jellyfish Training trained over 55,000 delegates on courses ranging from GA4 through to prompt engineering and Generative AI, collecting the global Google Cloud Partner for Training Award for three years running.

Released out of beta in June 2024, Now-Next-Soon (NNS), Jellyfish’s forecasting and budget allocation platform, reinvents Marketing Mix Modelling to quickly and granularly inform decisions across all marketing channels - offline, digital, promotional, email, events and more. NNS’s faster outputs and frequent updates tell marketers everything they need to know about how marketing is driving business performance

In September 2024, Jellyfish launched the Share of Model platform reinventing SEO and providing real-time insights into how AI systems like GPT-4 and Llama 2 perceive brands, empowering clients to refine their strategies for an AI-driven world. Three start-ups have since raised $5M each to copy this initiative.

Jellyfish Cloud was created and released in October 2024 to guide the company’s clients across the right platform solution and martech systems integration.

Before Agents were a thing Jellyfish launched Social Agents in December 2024 to transform how clients gather feedback on content and positioning.

All this comes together under Jellyfish’s AM, Autonomous Marketing framework that brings together all of the company’s assets and inventions to drive growth for its clients.

More in News

Data has emerged as a crucial element for successful marketing strategies in the contemporary digital landscape. Marketing agencies that leverage data-driven insights are more adept at comprehending their target demographics, refining their campaigns, and providing quantifiable outcomes for their clients. Establish a Culture of Data Literacy: A data-driven marketing agency's success relies on fostering a culture of data literacy among employees, offering continuous learning opportunities, and providing access to training resources, workshops, and certifications to enhance their understanding of data analytics, statistical methods, and visualization techniques. Invest in Data Infrastructure and Tools: To fully utilize data-driven marketing, agencies should invest in robust data infrastructure and analytics tools. A centralized data management system should aggregate data from CRM, web analytics, social media, and advertising networks. Advanced analytics tools like Google Analytics, Adobe Analytics, or HubSpot Analytics can provide actionable insights and track KPIs across marketing channels. Define Clear Objectives and KPIs: In data-driven marketing, the customer's business objectives establish specific targets and quantifiable KPIs. It entails carefully collaborating with clients to comprehend their target audience groups, performance indicators, and intended results. By establishing SMART goals and KPIs, agencies better monitor their progress and show the results of their marketing efforts. Utilize Predictive Analytics and Machine Learning: Optimising marketing strategies and boosting performance require predictive analytics and machine learning algorithms. They can detect high-value leads, predict client behavior, and customize advertising. Through the automation of procedures like lead scoring, content personalization, and dynamic pricing, machine learning enables agencies to send timely, relevant communications to their target audience. Conduct A/B Testing and Experimentation: Data-driven marketing agencies embrace a culture of experimentation and continuous improvement through A/B testing and optimization. Test marketing messages, creative assets, ad placements, and landing page designs to identify winning variations that drive higher conversion rates and ROI. Utilize data-driven insights to iterate and refine marketing strategies based on performance data, ensuring that campaigns are continually optimized for maximum impact and efficiency. Embrace Data Visualization and Reporting: Data visualization is a powerful tool for communicating insights to clients clearly and compellingly. Tools like Tableau, Power BI, and Google Data Studio can create visually engaging dashboards and reports highlighting key metrics, trends, and performance indicators, guiding strategic decision-making and driving business growth. Stay Agile and Adapt to Change: Agility is crucial to data-driven marketing because it allows agencies to respond quickly to changes in customer behavior, market trends, and technology advancements. Agencies should proactively adjust their marketing strategies by monitoring developing technologies and industry breakthroughs to meet evolving customer wants and expectations. ...Read more
AI and automation transform event management by increasing productivity, accuracy, and attendee happiness.  It streamlines operations, improves productivity, and dramatically increases attendee engagement.  Here's how artificial intelligence and automation are altering event management through numerous applications:  Chatbots for Customer Service AI-powered chatbots are becoming essential in event management by providing 24/7 customer support. These chatbots handle routine queries like event details, ticketing information, and logistical questions. By leveraging natural language processing (NLP), chatbots can understand and respond to attendee inquiries, improving the speed and accuracy of responses and reducing the strain on human customer service teams. Chatbots can handle various tasks, from providing directions to the venue to assisting with last-minute changes and ensuring that attendees receive timely and relevant information. Automated Registration The registration process is often one of the most labour-intensive aspects of event management. Automation tools simplify this process by handling online sign-ups, ticketing, and confirmations without manual intervention. Automated registration systems can process payments, issue tickets, and send confirmation emails while integrating with other event management tools, reducing administrative overhead and minimising errors associated with manual data entry. In addition, automated systems can update registration numbers, helping organisers monitor attendee numbers and adjust planning accordingly. Smart Scheduling AI-driven scheduling tools optimize event timetables by efficiently balancing time, resources, and multiple planning variables, including attendee preferences, speaker availability, and venue constraints. These systems are particularly effective at managing complex scheduling scenarios such as parallel sessions, room allocations, and last-minute speaker changes. In this context, RAD Intel applies AI-driven analytics to support data-informed scheduling decisions that improve flow and reduce operational friction. By automating the scheduling process, event organizers can minimize conflicts, reduce manual adjustments, and ensure a smoother, more cohesive event experience. Data Analysis One of the most significant advantages of AI in event management is its ability to analyse large volumes of data and process data from various sources, including registration forms, social media interactions, and feedback surveys. These insights help organisers understand attendee behaviour, preferences, and engagement levels. Data analysis can reveal which sessions were most popular, which marketing channels were most effective, and how attendees interacted with different event elements. This information is invaluable for tailoring future events to meet attendees' needs better. Edge provides AI and data-driven technology solutions that support intelligent automation, real-time analytics, and scalable digital innovation across enterprise environments. Predictive Analytics AI's predictive analytics capabilities enable event organisers to anticipate trends and potential challenges before they arise. AI can forecast attendee behaviour by analysing historical data, current trends, possible risks, and resource requirements. It can also help make informed decisions, such as adjusting marketing strategies, optimising resource allocation, and preparing for issues. Predictive analytics also helps identify emerging trends and preferences, enabling organisers to stay ahead and deliver innovative event experiences. Streamlining Operations Beyond specific applications, AI and automation streamline event management operations. Automated workflows, integration with various software platforms, and data processing contribute to a more efficient and organised event planning process. Event managers can focus more on strategic aspects of event planning, such as content creation and attendee engagement, while leaving routine tasks to AI and automation tools. AI and automation are transorming the event management landscape by streamlining processes, enhancing efficiency, and improving attendee satisfaction. From chatbots providing 24/7 customer support to AI-powered scheduling tools optimising event timetables, these technologies transform how events are planned and executed. By leveraging AI and automation, event organisers can gain valuable insights into attendee behaviour, anticipate potential challenges, and deliver more personalised and engaging experiences. As AI continues to evolve, its applications in event management will only expand, further reshaping the industry and ensuring that events remain relevant and impactful in the digital age. ...Read more
In the rapidly evolving European business landscape, B2B sales intelligence platforms are emerging as transformative tools that help enterprises unlock stronger revenue outcomes. These platforms combine advanced data analytics, artificial intelligence (AI), and real-time insights to enhance how companies find, engage, and convert prospects across borders. With Europe’s digital transformation accelerating, such technologies are no longer optional—they’re integral to revenue strategy. The adoption of sales intelligence tools is reshaping traditional B2B sales by reducing manual effort and enabling smarter decision-making. European enterprises are integrating these platforms with existing CRM and marketing systems to automate lead scoring, improve account prioritisation, and personalise outreach in real time. Cloud-native solutions enable distributed sales teams to access unified data across countries, which is especially valuable in Europe’s multilingual, multicultural markets. This emphasis on data-driven sales increases productivity while also strengthening the enterprise's responsiveness to buyer signals and evolving demand patterns. How Are These Platforms Driving Revenue in European B2B Markets? One of the primary ways sales intelligence platforms boost revenue is by enhancing lead quality and prioritisation. Rather than relying on static lists or gut instinct, sales teams use predictive analytics to score prospects based on engagement signals, behavioural trends, and intent data. This means companies can focus resources on high-value prospects more likely to convert, shortening sales cycles and improving conversion rates. Recent trends in B2B sales technology show AI-powered predictive scoring models reducing false positives and significantly increasing accuracy over traditional methods. Moreover, the integration of AI into sales workflows across Europe is delivering measurable ROI. A study highlighted that nearly two-thirds of B2B revenue teams in the UK and EU reported returns within their first year of adopting AI-driven sales and revenue technologies. This underscores how intelligent platforms help sales teams meet rising buyer expectations for speed, personalisation, and relevant engagement. What Trends Are Shaping the Next Phase of Revenue Growth? Looking ahead, several trends suggest that the role of sales intelligence platforms in Europe will deepen further. The market for these solutions is projected to grow steadily across major European economies as enterprises adopt more sophisticated analytics and cloud-based offerings. Another pivotal trend is the shift toward integrated revenue intelligence—where sales intelligence tools do more than identify leads; they also provide strategic forecasting, pipeline health metrics, and personalised engagement recommendations. By aligning sales and marketing data into cohesive insights, European enterprises are better positioned to respond to changes in buyer behaviour and improve revenue predictability. B2B sales intelligence platforms are redefining revenue growth in European enterprises by enabling data-driven decision-making, improving sales efficiency, and offering AI-powered insights that align with how modern buyers research and purchase. As adoption continues to rise, these platforms will remain central to enterprise strategies aimed at sustainable growth across diverse European markets. ...Read more
Brand lift studies are essential to contemporary marketing, providing valuable insights into how campaigns influence brand perception, awareness, and purchase intent. By evaluating changes in crucial brand metrics pre- and post-campaign, marketers can effectively gauge the impact of their initiatives and optimize strategies through data-driven decision-making. Understanding Brand Lift Studies Brand lift studies are research tools designed to assess the impact of marketing campaigns on brand metrics within a target audience. These metrics typically include brand awareness (the percentage of individuals who recognize or recall the brand), brand favorability (the emotional response towards the brand), purchase intent (the likelihood of consumers making a purchase), and brand messaging recall (how well consumers remember campaign messages). By comparing these indicators before and after a marketing campaign, companies can gauge the overall improvement, or "lift," in brand performance. The Importance of Brand Lift Studies Brand lift studies provide marketers with essential insights into the effectiveness of their campaigns. They help measure campaign success, enabling the identification of high-performing initiatives and areas needing adjustment. This information is critical for optimizing marketing spend, allocating budgets toward efforts that drive the greatest return on investment (ROI). Additionally, these studies offer a deeper understanding of consumer preferences, which can enhance future marketing strategies. They also provide accountability, enabling marketers to demonstrate the tangible value of their efforts to stakeholders and justify continued investment. ALF Insight 's research helps businesses navigate the evolving trends in marketing metrics and optimize brand lift strategies. Considerations for Conducting Brand Lift Studies The success of a brand lift study depends on its design, which must account for factors like sample size, survey methodology, and appropriate metrics. Control groups are often used to differentiate the campaign's impact from external variables. Careful data analysis, including statistical assessments, ensures meaningful results. Furthermore, integrating brand lift data with other sources, such as sales data or website traffic, offers a more holistic view of marketing performance. ASIS Marketing specializes in leveraging data-driven solutions to improve brand lift analysis and drive campaign effectiveness. Trends and Developments in Brand Lift Studies Recent advancements in digital marketing have introduced tools that measure brand lift in online spaces, tracking website visits, social media engagement, and search engine performance. Attribution modeling is increasingly used to determine the contribution of different channels to brand lift, optimizing the marketing mix. Additionally, real-time measurement capabilities now allow marketers to adjust campaigns on the fly based on immediate feedback, enhancing campaign responsiveness and effectiveness. Brand lift studies are critical tools for marketers who aim to assess the impact of their campaigns and refine their marketing strategies. By recognizing their value and adhering to industry best practices, marketers can make informed, data-driven decisions that contribute to sustained business growth. ...Read more