Audience Profiling & Segmentation
We turn the customer data you already hold into audiences your marketing platforms can act on, each one designed around a specific use case rather than built because the platform makes it easy.
Tell us where your customer data sits and what you want audiences to do. We will tell you where we would start.
The Client’s Situation
Segments that never reach a channel
Most organisations looking at this already have the data, and many already have the platform. A customer data platform was bought to bring profiles together and make every interaction more relevant. The profiles exist, audiences have been defined, and a surprising share of them are never sent anywhere.
The reasons are rarely technical on their own. Audiences get built because the platform allows it rather than because a campaign needs them. The same customer appears as three profiles because nobody decided how identities should be matched. Consent sits in one system and the audience in another. And the route from a segment to an email, an advertising platform or a personalised page belongs to nobody in particular, so it becomes a manual export or does not happen at all.
Two costs follow. The platform never repays what was spent on it, and customers keep receiving messages that ignore what they have just done: a reminder about a form they already completed, an offer for something they already bought.
What changes when audiences are built for a purpose
Talk to usEvery audience has a job.
Each one exists because something specific will be done with it — a journey, an exclusion, a personalised experience — so the platform starts repaying its cost from the first use case rather than the twentieth.
One customer, recognised as one customer.
An agreed identity strategy decides how profiles are matched across devices, channels and systems, so the same person is not treated as three.
Consent that travels with the audience.
Permissions are carried through to wherever an audience is activated, rather than checked in one system and lost in the next.
Audiences that actually arrive.
Connections from the profile to email, advertising, personalisation and service platforms are built and tested, so a segment reaches the channel it was made for without a spreadsheet in the middle.
Messages that respect what the customer just did.
Exclusions and timing windows mean nobody is chased for something they have already finished, which protects the relationship as much as the conversion rate.
Use cases first, platform second
1
We start with what the audiences are for.
Workshops with marketing, digital, data and IT teams to agree which decisions and journeys audiences must serve — winning customers, keeping them, recovering journeys people abandon — and documented requirements for each.
2
We check the data underneath.
What is collected, how it is structured, where profiles duplicate and where consent is recorded. Where collection needs fixing, the first deliverable is a data layer specification, because audiences built on unreliable data are unreliable audiences.
3
We agree how a customer is identified.
Which identifiers are trusted for matching, how anonymous and known behaviour are joined, and how data protection requirements shape what a profile may contain.
4
We build, check and connect the audiences.
Rules and audience definitions, including the exclusions and waiting periods that stop a message reaching someone who has already acted. Each audience is checked before it goes live, then connected to the platforms that will use it.
5
We measure, refine and hand over.
Each audience is measured against what it was built to change and refined from there, and your team is trained to build and maintain audiences themselves.
Turn your data into a competitive advantage.
Whether you’re trying to prove marketing performance, modernise enterprise reporting, or build a stronger data strategy, we’ll help you create analytics that deliver measurable business value.
What the work covers
Customer data platform implementation.
Technical implementation of the platform and its connections to the rest of your marketing technology.
Data integration and warehousing.
Bringing customer data from several sources into a structure that can feed profiles, including warehouses built to handle large volumes.
Identity and consent strategy.
How customers are matched across sources, and how consent and data protection requirements are reflected in each profile.
Audience and rule design.
Segmentation rules and audience definitions, with the exclusions and timing that keep them accurate as customers move.
Activation.
Sharing audiences with email, advertising, personalisation and service platforms, and making profile data available through APIs to the services that need it.
Platforms we work with
1
Customer data platforms.
Adobe Real-Time CDP, Tealium AudienceStream, mParticle.
2
Collection.
Tealium iQ, Adobe Launch.
3
Activation.
Adobe Target, Adobe Journey Optimizer, Adobe Campaign, Dotdigital.
More on our work with Adobe Experience Cloud and Tealium.
Why organisations bring us in
We build the data underneath as well as the audiences on top.
Most segmentation work starts at the customer data platform. We also build the warehouses, integrations and data layers that feed it, which means that when an audience is wrong we can fix the cause rather than adjusting the rule that exposed it.
We can tell you whether you need a customer data platform at all.
We implement dedicated platforms and we build data warehouses, so we have no reason to push you towards either. Some organisations need a dedicated platform, some can build audiences where their data already lives, and many need both. We will say which before anything is bought.
Every audience is designed with its measurement.
The same team runs analytics, experimentation and personalisation programmes, so how an audience’s effect will be judged is settled when it is designed. That saves the argument that usually follows a campaign nobody planned to measure, and it means the data behind the audience was trustworthy to begin with.
CX & Marketing
Why organisations bring us in
Start with what the data will actually support
Whether the programme has stalled, never started, or is running without anyone able to say what it has proved, the first piece of work is the same. We look at the tool, the tracking behind it, the traffic you have to work with and what the business is trying to achieve, then tell you what a realistic programme looks like from there.
What do our clients say?
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Questions we are asked
Do we need a customer data platform, or can audiences be built in our data warehouse?
Either can be right, and the choice is worth making deliberately. A dedicated platform suits audiences that must react within minutes of something a customer does, and teams that want marketers building segments without writing queries. Building audiences in the warehouse suits organisations whose customer data is already well modelled there and whose activation can run on a schedule. Many end up using both. Because we implement customer data platforms and also build data warehouses, we can recommend whichever fits your data and your use cases, including the option of using what you already have.
We already have a customer data platform. Can you work with it?
Yes, and much of this work starts there. We begin with an audit of what is configured, which audiences exist, which of them actually reach a channel, and how identity and consent are being handled. Then we fix what is holding the platform back before adding anything new.
How do you handle consent and data protection?
By designing them into the profile from the start rather than checking them at the end. During the identity and data work we establish which data is used to build profiles, on what basis, and how consent and preferences travel with an audience to wherever it is activated. That is a technical design rather than legal advice, and it gives your data protection and legal teams what they need to form a view.
Does first-party data still matter now that Chrome has kept third-party cookies?
Yes. Google decided in 2025 to keep third-party cookies available in Chrome, but Safari and Firefox already block them by default, consent requirements apply whichever browser a customer uses, and the most useful signals about your own customers were always first-party: what they bought, what they started and did not finish, and what they chose to tell you. Audiences built on that data are also the ones you can explain when someone asks how a decision was made.
How many audiences should we start with?
Fewer than most teams expect. A small number of audiences, each tied to a specific use case and a channel that will act on it, will repay the platform faster than a large library built for campaigns nobody has planned. Each extra segment adds rules to maintain, overlaps to manage and results that may be too small to measure.
How do we know whether an audience is working?
By deciding before launch what the audience is meant to change and how that will be measured. Where volumes allow, that means holding back a comparable group who do not receive the treatment, so the difference can be attributed to the audience rather than to everything else happening at the same time. Where volumes are too small, it means choosing a measure that can be tracked reliably and being clear about what it can and cannot show.
Can our own team build and maintain audiences afterwards?
Yes, and we would encourage it. Training in the platforms and in audience design can run alongside the programme, so your team can create and maintain audiences themselves and call on us for the difficult ones.
Start with what the audience is for
Whether the platform is new, half configured or live and quiet, the first conversation is the same: which customers you need to reach differently, what should happen when you do, and whether the data underneath can support it.
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Tell us where your customer data sits, which channels you want to reach, and what you want audiences to do. A consultant who builds these programmes will come back to you.
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