Create a high-performance infrastructure for cloud computing, data analytics, generative AI, and machine learning with Google Cloud.
As a Google Cloud Partner, s360 designs and manages scalable cloud infrastructure for brands and retailers.
Our certified Google Cloud engineers help you design scalable cloud infrastructure with Google Cloud as a connected platform for data storage, advanced analytics, machine learning, and generative AI.
Define what you want Google Cloud to support across marketing and analytics, and focus on the data and use cases that matter most.
Organise and connect marketing, customer, and commerce data in BigQuery so it is consistent, scalable, and ready for use.
Align how performance is measured across channels and markets using shared metrics and reporting in Looker.
Use data and audiences from Google Cloud in media and marketing platforms to support targeting, bidding, and personalisation.
Apply modelling and AI to understand future demand, customer value, and retention risks.
Set clear rules for access and privacy while enabling teams to work with data independently and confidently.
We approach Google Cloud as a commercial enablement platform. Our teams combine cloud engineering, analytics, and marketing expertise to ensure the setup supports real business use cases.
Marketing-First Expertise:
Our certified Cloud engineers design solutions specifically for marketing and growth use cases, grounded in how media, measurement, and customer data are actually used.
Code-First and Scalable by Design:
We work with LookML, version control, and structured data modelling to build maintainable setups that scale across markets and organisations.
Activation Beyond Dashboards:
We focus on the last mile, making sure insights and predictions are activated in media and marketing platforms where they drive measurable impact.
Strong Google Partnership:
Our close collaboration with Google ensures access to best practices, technical guidance, and ongoing platform development.
A serverless, multi-cloud data warehouse that scales instantly and handles large volumes of marketing, customer, and transaction data without infrastructure management.
It separates compute and storage, allowing teams to run complex queries on petabyte-scale datasets without performance bottlenecks.
A semantic modelling layer that creates one shared definition of performance metrics across dashboards, APIs, and downstream tools.
Metrics are defined in LookML once and reused everywhere, reducing inconsistencies between marketing, finance, and leadership reporting.
An integrated machine learning and generative AI platform used for prediction, forecasting, conversational analytics, and AI-driven insight generation.
It supports both custom models and pre-trained Google models, making advanced AI use cases accessible without building everything from scratch.
Direct integration with Google Analytics 4 and Google Marketing Platform, supporting attribution, analysis, and data activation.
This enables marketing data to flow seamlessly into BigQuery for advanced analysis and back into media platforms for activation.
Automated pipelines that push audiences and signals from Google Cloud into activation platforms, reducing manual work and delays.
This allows segments built on behavioural and value-based data to be used directly in paid media and CRM workflows.
Enterprise-grade access control and monitoring that supports compliant, controlled use of first-party data.
Google Cloud provides fine-grained permissions, audit logs, and data controls that help organisations meet GDPR and internal governance requirements.
Are you consolidating fragmented data sources or looking to get more value from an existing Google Cloud setup? We can help you assess, structure, and improve your approach.
Reach out to explore how a well-structured Google Cloud setup can support your marketing, analytics, and growth ambitions.
Search audience can be considered as split into two webs: one navigated by humans, and the other by agents. Both demand data they can trust. This session explores what data integrity means in modern Search – from entity relationships and schema to emerging standards like ACP, UCP and more – and why the structural quality of your data now determines visibility across both. Whether you’re optimising for a person or an agent making decisions on their behalf, this session will explore what to consider for both.
About Alex:
Alex is an expert-level SEO consultant, WordPress developer, and marketing strategist with over 20 years of experience helping brands grow their online presence, conversion, and customer loyalty. He specialises in technical and structural SEO, product development, and strategy, and has worked with thousands of websites across sectors.
He is Principal SEO at Yoast, the world’s leading SEO plugin for WordPress with over 13.5 million installs, where he focuses on product innovation and brand authority. He is a co-presenter of The SEO Update by Yoast video podcast, as well as being a guest on numerous other industry podcasts. Alex also co-founded the organic marketing and WordPress development agency FireCask, and is a long-standing conference speaker and trainer on topics including technical SEO, AI Search, and WordPress SEO.
In my session, I’ll share Google’s vision for a fundamental shift in digital behavior: where search evolves from retrieving information to executing intent. We’ll explore how the transition from “searching” to “delegating” is reshaping Search advertising.
About Anders:
As the Search and Performance Lead for Google Northern Europe, Anders is responsible for helping the region’s largest advertisers bridge the gap between core business objectives and Google’s advanced performance suite. He leads cross-functional initiatives focused on maximizing ROI through AI-driven solutions and deep consumer insights.
As a regional lead for Agentic Commerce and the Future of Search, Anders works closely with Google’s global product teams to ensure Northern European retailers are well positioned and prepared for the next era of Search advertising.
Marketing in 2026 demands more than speed. It demands autonomy. This session breaks down how to architect agent-powered workflows that automate research, content creation, and optimization end-to-end.
You’ll learn when to reach for static prompts vs. dynamic agents vs. full AI workflows, and see real examples of small teams scaling output with simple tools like Apps Script + Claude Code, replacing entire workflows, not just individual tasks.
The talk will also challenge the “AI hallucination” narrative head-on, showing why a well-designed AI system is measurably more accurate than manual human processes.
About Tom:
Engineer by craft, marketer by obsession. Tom founded SEOwind to build AI systems that scale content. Today, SEOwind produces 2,300+ articles monthly for 500+ clients, primarily through agency partnerships. He speaks at SEO and marketing conferences on AI-driven SEO and growth.
Search is no longer a single ecosystem. SERPs and LLMs often surface and cite completely different sources, which means the links that influence rankings aren’t always the same signals that influence AI visibility.
Based on large-scale research and real client data, this session explores why different systems reward different signals and shows how to design link strategies that perform across them.
About Tamara:
Tamara Novitović is Head of SEO at Bazoom, where she builds and tests modern authority strategies across competitive niches and international markets.
She focuses on redefining link value, user-first placements, and hybrid tactics built for both SERP visibility and AI citations.
She is also a regular speaker at international conferences and contributes to industry conversations on search, content, AI, and link strategy.
Search is undergoing a massive transformation. With Google AI Mode and UCP live in the US we are now entering a new phase in both paid and organic search.
Mathias will give you an overview of what we know will happen as well as a checklist of things you can work on that will benefit you both short and long term. Gain a grounded perspective on the structural changes hitting the industry and how to prepare for 2027 and beyond.
About Mathias:
Mathias Hillerup is the co-founder of s360, having started the agency in 2011. Over the last decade, he has helped scale the company into a leading digital consultancy by bridging the gap between marketing, technology, and data.
He works at the intersection of technical infrastructure and commercial growth, helping international brands adapt to a rapidly maturing digital landscape.
Mathias is known for a pragmatic, business-first approach to technology, focusing on the structural shifts that actually drive long-term performance.
Paid Search has evolved through several major shifts: Google Shopping, Smart Bidding, and the disruption of the pandemic years. Today, a new phase is emerging driven by AI.
As AI takes over more of the decision-making, the old playbook of granular account structures and manual control is becoming less relevant. Success increasingly comes from simplifying setups and feeding the systems with the right data.
In this session, Frederik Hyldig explores how the fundamentals of Paid Search are changing and what that means in practice. He will outline how advertisers should rethink account structure, how to work with automation instead of against it, and why data and feeds are becoming central to staying competitive.
About Frederik:
Frederik Hyldig has over a decade of experience in Paid Search and has advised some of Europe’s largest brands on media strategy and technology.
His focus has always been on the practical application of technology in search. Today, he helps brands move past manual management to build structures that actually work in an automated environment.
Frederik is a frequent speaker and is known for his straightforward approach to SEM and digital strategy.
To stay visible in LLMs, you must master Generative Engine Optimization (GEO). This keynote is a practitioner’s guide to becoming the primary source for AI-driven answers like Gemini and Perplexity.
Moving past theory, I will share concrete technical and content-led tactics to improve LLM visibility and transform your brand into a definitive authority for AI.
Leave with a 2026 checklist to turn AI search shakeup into a measurable, competitive advantage.
About Nikolaj:
Nikolaj Mogensen is the VP and Group Lead of SEO at s360. Over the last 15 years, he has worked hands-on with some of the largest websites in the Nordics, helping them navigate the constant shifts in search. His current work centers on AI and GEO, finding real-world ways to maintain organic visibility as search evolves.
A regular speaker at events like brightonSEO and SMX, Nikolaj focuses on turning technical complexity into practical steps that work for businesses.
SEO is shifting from optimizing pages to building search-driven products. In this talk, Björn Darko shares how large marketplaces turn SEO insights into scalable product features. He’ll also explore how AI search, LLMs and changing user behavior are forcing SEO teams to rethink how they measure visibility, traffic and growth & how to inform your board about it.
About Björn:
Björn Darko is Group Head of SEO & AI Search at Swiss Marketplace Group, overseeing organic growth across Switzerland’s leading marketplaces in real estate, automotive, finance and classifieds. With more than a decade in SEO and product leadership at companies like AVIV Group, Searchmetrics, Ringier etc., he focuses on bridging the gap between SEO, data and product development. Björn also hosts the SEOPRESSO podcast and regularly speaks about Product-Led SEO and the future of search.
A common pattern shows up account after account: over-segmentation, premature automation, and budgets spread too thin to generate meaningful learning. Small budgets rarely fail because of poor tactics. They fail because strategies designed for higher spend environments are applied without adjustment, and what works at scale, collapses when resources are limited. In this session, Ramial covers the mindset shifts and structural principles required to make PPC sustainable in constrained environments.
About Ramial:
Ramial Aqeel is a PPC freelancer who works primarily with SMEs, running paid media on lean budgets. He focuses on clear, practical approaches that help advertisers make limited spend work harder. His work centres on simplifying PPC and supporting smaller businesses in getting the most from every pound they invest.
Oliver will run through the latest AI-enabled features of Screaming Frog’s SEO Spider, as well as some lesser-known classic features that you might have missed along the way. This talk is for anyone looking to take their day-to-day SEO to the next level, though there’s lots to be gained if you’re not too familiar with auditing websites too. No frogs were harmed during its production.
About Oliver:
Oliver has a decade of experience at Screaming Frog, having conquered SEO consultancy and management, he now oversees the agency’s wider strategy. He’s spoken at SEO conferences in 6 countries, so he unironically considers himself an international SEO rockstar now.
In this session, we’ll walk through the mechanisms of AI search systems discussion things like personalisation, query expansion, memory, and response generation. We’ll go over how this is different than traditional search, and what carries over. Attendees will leave with a framework for winning in both traditional and AI search, without compromising visibility in any domain, but instead strengthening the content message in an omnichannel world.
About Lazarina:
Lazarina Stoy is a marketing consultant and the founder of MLforSEO, a learning platform, academy, and community for marketers and organic search professionals. She designs hands-on training for in-house and agency teams, and the forward-thinking individuals within them, integrate AI and ML solutions into their workflows to drive productivity and organic growth – regardless of the platform their audience is searching on. A strong advocate for responsible automation, Lazarina speaks at conferences and webinars and creates practical resources for marketers starting their AI/ML journey.
