Insights

2nd Jul 2026

AI Hackathons for Marketing Teams: Turn Expertise into ROI

By Tony Sprague

A recent Anthropic research paper, Agentic Coding and Persistent Returns to Expertise, confirms something we’ve been seeing firsthand for months: domain expertise is the biggest predictor of successful AI adoption in organisations.

The researchers analysed almost 400,000 AI sessions between October 2025 and April 2026. As AI agents became more capable, people increasingly used them for end-to-end work: deploying code, analysing data and producing documents. But the most valuable outcomes consistently came from people with deep expertise in the task they were asking AI to perform.

The implication for organisations is clear: the people who should be getting the greatest value from AI are the people who know your business best.

AI adoption works best when experts lead the way

Those people are your existing experts. The finance manager who’s been there for twenty years. The operations lead who knows every workaround. The customer service manager who can spot a recurring complaint before anyone else notices. They understand where time is wasted, where processes break down and where money quietly leaks from the business.

The challenge is that these are often the people least likely to embrace AI. Some are understandably cautious. Some worry about what AI means for their role. Others simply don’t know where to start.

How AI Hackathons turn everyday marketing problems into practical solutions

That’s where AI Hackathons make the difference.

Rather than teaching theory, Hackathons give experienced people the opportunity to solve real problems they face every day. They discover not only tools like ChatGPT, but platforms such as Clay and Notion that can automate workflows, improve research and eliminate repetitive work. The result isn’t just a day of experimentation: it’s practical tools, automations and ideas they can implement immediately.

The business benefits of AI Hackathons for marketing ROI

For marketing teams, that matters because AI is no longer a side experiment or a shortcut for faster copy. It is quickly becoming embedded in how campaigns are planned, audiences are segmented, journeys are personalised, assets are produced, performance is analysed and budget decisions are made. The opportunity is not simply to do the same work faster. It is to rethink how marketing work flows from insight to execution to measurement.

That is where a Hackathon can deliver real business advantage. It gives marketing and marketing operations teams a contained, practical environment in which to test AI against the messy reality of their own business: inconsistent data, disconnected systems, legacy processes, approval bottlenecks, fragmented reporting and the constant pressure to prove ROI.

Instead of talking abstractly about transformation, teams can ask sharper questions: Which reports take too long to build? Where are campaign handovers slowing us down? Which customer segments are under-used? What content could be repurposed more intelligently? Which manual tasks stop marketers spending time on strategy?

Why marketing operations teams gain the most from AI tools

The benefit is especially strong for marketing operations teams because they sit at the intersection of people, process, data and technology. They understand how the CRM is really used, where campaign data lives, how leads move through the funnel, where attribution becomes unreliable and which repetitive tasks quietly drain capacity every week.

In a Hackathon, that operational knowledge becomes the brief. AI tools can then be explored in context: cleaning and enriching data, summarising performance trends, drafting campaign workflows, mapping customer journeys, building prompt libraries, automating first-pass reporting or turning scattered insights into clearer recommendations for sales and leadership teams.

Using AI to drive creativity in campaign and content teams

For campaign, content and demand generation teams, the same approach unlocks creativity rather than replacing it. A well-run AI Hackathon encourages marketers to use AI as a thinking partner: to explore new propositions, stress-test messaging, generate audience angles, identify content gaps, create variant ideas, compare campaign concepts and build stronger test plans.

The value comes from combining human judgement with AI’s speed. Marketers bring brand understanding, customer empathy and commercial instinct; AI helps them move through more possibilities, faster.

Why AI Hackathons outperform generic AI training for marketers

This is also why Hackathons are more productive than generic AI training. Training often shows people what a tool can do. A Hackathon helps them discover what the tool can do for their pipeline, their campaigns, their reporting cycle, their customer experience and their commercial targets.

That difference is crucial for teams accountable for marketing ROI. The best ideas are usually not the most futuristic. They are the ones that remove friction from everyday work: a faster way to brief campaigns, a better method for analysing webinar follow-up, a more consistent approach to sales enablement content, a cleaner process for lead scoring, or a smarter way to turn performance data into next actions.

Real-world AI use cases for marketing teams

In a real-world marketing environment, creativity is rarely a blank-page problem. It is constrained by deadlines, budgets, brand rules, stakeholder feedback, channel requirements and imperfect data. AI Hackathons work because they embrace those constraints. They bring together the people who know the customer, the people who know the systems and the people who know the numbers, then give them permission to experiment with practical solutions.

That combination drives productive thinking: not innovation theatre, but focused exploration of where AI can reduce waste, increase speed, improve quality and create measurable commercial value.

From AI experimentation to measurable marketing performance

We’ve run Hackathons with our own teams and with organisations large and small. Each and every one has produced tangible improvements because the participants already understood the problems that needed solving.

In marketing, those improvements can show up as faster campaign delivery, stronger content reuse, cleaner handovers, better insight generation, more confident experimentation and clearer links between activity and revenue. AI simply gives experienced people a faster, better way to solve problems they already understand.

How to unlock AI value inside your existing marketing team

Your biggest AI opportunity probably isn’t hiring more AI specialists or adding another disconnected tool to the martech stack. It’s enabling the marketers, marketing operations specialists and commercial teams you already employ to understand what today’s AI tools can actually do, where they fit into the marketing engine and how they can help drive better returns from the work already underway.

Five questions marketers ask about AI Hackathons

No. The point of an AI Hackathon is not to turn marketers into developers. It is to help them understand how AI tools can support the work they already do: planning campaigns, analysing performance, creating content, improving workflows, segmenting audiences and turning insight into action. The most valuable participants are often the people who know the customer, the brand, the data and the operational pain points best.

Standard training explains what a tool can do. A Hackathon asks marketers to use that tool to solve a real problem in their own environment. That hands-on approach makes the learning stick because people see how prompts, workflows, data inputs and human judgement affect the quality of the output. It also builds confidence quickly, especially for teams that have talked about AI for a long time but have not yet used it in a structured way.

Marketing operations teams can use AI to improve the parts of the marketing engine that are often hidden but business-critical: campaign set-up, lead routing, reporting, data cleaning, audience segmentation, attribution, briefing, workflow documentation and insight generation. A Hackathon helps teams identify which of these areas are causing the most friction, then test practical ways to remove that friction without waiting for a major transformation programme.

AI is strongest when it expands the number of ideas a team can explore, not when it makes the final decision for them. In a Hackathon, marketers can use AI to generate campaign angles, compare messaging options, find content gaps, draft test ideas, repurpose existing assets and challenge assumptions. The creative value comes from combining AI’s speed with human judgement, customer understanding, brand experience and commercial instinct.

The best measures go beyond whether people enjoyed the day. Look for practical outputs: usable prompts, draft workflows, automation ideas, reporting improvements, campaign prototypes, clearer process documentation or a shortlist of high-value use cases to develop next. Longer term, success can be measured through faster delivery, better quality, improved consistency, more confident experimentation and stronger links between marketing activity and revenue impact.