Auditing existing data flows, tools and use cases across web, app, backend systems and marketing platforms.
Service
CDI/CDP Implementation & Support
CDI and CDP implementation with Datafly Signal, Bloomreach, Treasure AI, Amperity and Zeotap. Architecture, identity, governance and managed support.
CDI/CDP Implementation & Support
Most CDP programmes are declared successful at go-live and quietly judged a failure eighteen months later. The platform is running, the data landed, and the marketing team is still pulling segments out of the ESP because nobody designed the use cases, the identity rules or the ownership that would let them use it. The implementation was treated as a software installation. It is a data engineering and operating-model project that happens to involve software.
We implement the customer data layer underneath your martech: first-party collection, identity resolution, consent handling, the customer model and the pipelines that feed every downstream tool. We are an implementation partner for Bloomreach, Treasure AI (formerly Treasure Data), Amperity and Zeotap, and we built our own first-party collection platform, Datafly Signal, for the collection layer underneath them. Which platform is right is a conclusion we reach from your use cases, not a decision we bring with us.
Every implementation starts with the use cases and the data contracts, because those decide the data model, and the data model is the thing that is expensive to change once campaigns are running on it. We agree what good looks like and how it will be measured before configuration starts.
Engagements run through discovery, design, implementation and stabilisation. At the end you either take it over, with documentation and training, or we keep running it as managed support: monitoring pipelines, handling upstream changes, evolving use cases and watching run cost. Several clients keep us on the latter deliberately. As one example, we lead the Treasure AI implementation and support for Condé Nast across a multi-year engagement.
How We Help
Every organisation starts from a different point, but most CDI/CDP implementation and support engagements include:
Designing a target architecture that combines CDI (e.g. Datafly Signal) and CDP capabilities aligned to your roadmap and constraints.
Implementing and configuring feeds, schemas, identity resolution, consent handling and governance across environments.
Embedding run processes, documentation, SLAs and support so your teams can safely extend and evolve the platform.
Which CDI and CDP platforms do you work with?
We build first-party customer data infrastructure on our own Datafly Signal platform, and we are an implementation partner for Bloomreach, Treasure AI (formerly Treasure Data), Amperity and Zeotap. Our approach is vendor-agnostic: we focus on the right architecture and operating model for your business, whether you are standardising on one primary platform or integrating several. Each partner page sets out what that platform is genuinely good at and where we are with it.
