Artificial intelligence
No AI without data .
Artificial intelligence is presented as a revolution. It makes big promises. But between the demo of the latest newfangled tool and genuine value lies a whole other reality. The same challenges reappear: hard-to-optimize budgets, fragmented performance measurement, underexploited data. Reaching your objectives with AI isn’t a question of technology. It’s a question of vision.
AI “future-built” companies get 5X more revenue and 3X more cost reduction out of AI.
AI: From strategic thinking to concrete results.
We master the tools that matter
Why us?
At adviso, we combine business strategy, data science, and operational marketing in order to turn AI into a true lever for profit.
We begin with your marketing data and specific use cases, not the tool’s capabilities. Our data scientists ensure above all that your foundations are solid and that the impact will be real. Whether through predictive models, AI agents, or generative AI, we guide you to where AI will create value for you.
Our clients’ results say it all.
In a complex market where every dollar counts, we helped Sail fundamentally rethink its media performance.
By combining artificial intelligence, first-party data, and offline signals, we optimized every lever to maximize the real impact of its investments.
The result: 549% ROAS, $16M in online revenue, and an increase in average order value, proof that a well-structured approach can transform marketing performance into concrete business results.
In a high-growth context where retention is key to profitability, we helped WeCook turn its data into a competitive advantage.
By building a unified data warehouse and developing an AI-powered churn prediction model, we enabled the team to identify at-risk customers and act proactively, with insights directly usable by marketing teams.
Results: 85% accuracy in detecting at-risk customers, a full implementation completed in just one month despite complex data sources, and a stronger ability to generate advanced insights to optimize marketing operations.
Proof that a strong data foundation, combined with AI, can turn complex data into actionable business decisions.
Ubisoft aimed to take full control of its media investments and build an in house capability aligned with its operational and business objectives.
We supported their teams end to end, from defining a clear roadmap to selecting and implementing the right technologies across their media, data and analytics ecosystem. Every step was designed to reduce dependencies, streamline operations and increase speed of execution.
By restructuring data, refining audience segmentation and deploying the right tools, Ubisoft significantly improved its ability to plan, activate and optimize campaigns internally.
Result Ubisoft increased its audience segments tenfold, achieved a 127% return on investment within the first year and completed the full implementation in under six months. Proof that internalizing media can quickly drive both efficiency and measurable business impact.
As Nespresso aimed to maximize the value of its audiences, the challenge was to move from generic targeting to behavior based segmentation.
We implemented and activated a data management platform by leveraging CRM data to build advanced segments using clustering models. By identifying the most valuable customer profiles, we deployed highly precise audiences across channels.
This approach turned data into a direct performance driver.
Result revenue per thousand impressions increased by 40%, data matching processes improved significantly and over $75,000 in media efficiency gains were generated within three months. Proof that advanced data usage can quickly drive measurable performance gains.
Finding answers is in our DNA.
How can artificial intelligence be used in a concrete way in marketing?
By starting from clear use cases related to your business objectives, not from a tool. To generate value, AI models must be supplied with high-quality marketing data and integrated into your existing processes.
Why do AI projects in marketing fail so often?
Because they’re launched without a clear data strategy or any alignment with business objectives and are based on poorly structured, incomplete, or improperly governed data.
Do you need to have a data strategy before launching an artificial intelligence project?
Yes. The quality, structure, and governance of data directly determine the potential value of AI solutions. A data-first approach lets you ensure that investments in AI generate measurable and lasting value.
What are the most profitable use cases for AI in marketing?
Those that improve decision making and budget allocation: media investment optimization, incrementality measurement, advanced segmentation, marketing mix modelling (MMM), churn prediction, and customer experience (CX) personalization.
Why should I work with a consulting firm instead of a tool provider for my AI projects?
A provider sells a technology. A consulting firm offers a strategy anchored in your business reality. At adviso, our approach is 100% agnostic: We ensure that the selected AI solution creates real value.
You know where you want to go.
We know how to get you there.
Tell us what you need and we’ll help you find the best solution.
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