Data, AI and Marketing Agency

We are a consultancy in the sense that we bring frameworks, audits, analyses and recommendations. We work with your stakeholders, marketing, IT, data, DPO, legal, to help you decide. And we give leadership a read on how the market is moving and on what is coming.

We are an agency because we run the work itself, across data, AI and marketing. From implementation through to day to day management.

You can bring us in for one, for the other, or for both.

We work on the data that feeds marketing, not only on marketing. A media agency runs campaigns with the signals it receives. We work on those signals first: how they are collected, structured, made reliable and usable. Then we put them to work, to activate audiences, measure what drives performance and steer campaigns.

That difference becomes expensive as soon as AI is plugged into it. A model or an agent sitting on faulty collection does not merely repeat the existing error, it creates new ones. It draws conclusions from correlations that are not there, it builds debt into every workflow that relies on it, and it adds noise that has to be untangled later. Nothing in its answer will flag the problem.

The data layer is therefore not a box to tick before moving on to AI. It decides the quality of everything built on top of it.

Because without it you are steering blind. Tracking means capturing the key data points along your users' journey, on your website and in your app: pages viewed, steps completed, forms, purchases. That is what tells you which campaigns produce results, and what actually drives performance.

This data is not only there to measure after the fact, and that is the part most often overlooked. These are the signals advertising platforms use to target, to optimise your bids and to decide who sees your ads: what you send them determines what they learn. They are also what you base your decisions on, a budget, a channel, an audience.

The stakes rise now that AI connects directly to this data. An agent reading incomplete collection will recommend things that are wrong, with the same confidence as if they were right. That is why we start with collection, before campaigns.

It is one of our areas of specialisation, and it plays out on three levels.

First, understanding what applies to you: which data you collect, for which purpose, what requires consent and what does not. Many projects stall here, for lack of settling these questions before opening a tool.

Then configuring the CMP, the platform that collects your users' choice. We set it up so your tags fire according to that choice rather than alongside it, which means reworking the tagging plan and not only the banner. We are Didomi partners.

Finally, configuring your tools to keep a usable signal within that framework, Google Consent Mode first of all. Depending on your volumes, it allows you to keep measuring and to model part of the conversions that were declined. This is where compliance and measurement meet instead of working against each other, and it is also the part we most often find misconfigured in the accounts we audit.

We adapt to your organisation, not the other way round. We work as an extension of your teams: you bring us in on the topics we have mastered, to move faster than if you built them in house.

Three formats, which combine and shift along the way:

• a fully delegated engagement, fixed price on a defined scope, from framing to acceptance,
• work embedded in your teams, when the skill exists in house and what you need is capacity or an outside view on a specific topic,
• a consultant made available on a regular basis, to hold a run over time.

An in-house data team therefore changes nothing in the way we work, it changes the split. We take on what your teams do not have the time or the habit of doing, and what we build is documented so they can take it over. Time tracking is shared, so you can see at any point who is working on what.

It depends what you are looking for, and the three options are not mutually exclusive. An in-house hire builds the skill inside your organisation and keeps it. A freelancer brings sharp expertise on a well-defined topic, often at the best cost. Some of our clients have one, the other, or both, and we work alongside them.

What we bring is of a different nature. You are not bringing in one person, you are bringing in a setup: methods built and corrected by several experts since 2018, tools we have developed including our Capture solution, and several viewpoints on your topic rather than one. When a question falls outside your contact's scope, someone here has already dealt with it elsewhere.

With that comes a continuity that a single set of skills carries with difficulty: leave, a departure or a workload peak does not put your topic on hold. The useful question is therefore not who is best placed, but what you want to keep in house and what you would rather entrust.