Project description
Our customer data is scattered across multiple systems and this hinders marketing. Web analytics lives in one service, mobile application sends events to another, CRM stores contacts and deal history, and advertising cabinets each hold their own audience. Nothing is connected, so we see the same buyer as three different people: an anonymous website visitor, a device identifier in the app, and an email address in the CRM. We need to build a Customer Data Platform that will collect all sources and merge them into a single profile for each real person.
The main part of the work is identity resolution: matching records by email, phone, device and cookie so that fragments of one person are assembled into one golden profile. On top of this we need flexible segmentation—building audiences by behavior, purchase history and lifecycle stage, then automatically exporting these segments to email services, advertising cabinets and messengers. When a segment changes, connected tools should update themselves.
We are looking for a specialist who has already built such platforms and can propose a data model, event ingestion scheme, merge logic and reliable export. Describe similar projects and the stack you would propose.
The main part of the work is identity resolution: matching records by email, phone, device and cookie so that fragments of one person are assembled into one golden profile. On top of this we need flexible segmentation—building audiences by behavior, purchase history and lifecycle stage, then automatically exporting these segments to email services, advertising cabinets and messengers. When a segment changes, connected tools should update themselves.
We are looking for a specialist who has already built such platforms and can propose a data model, event ingestion scheme, merge logic and reliable export. Describe similar projects and the stack you would propose.
Advertising and marketing Cash, Bank transfer
