Unified customer data platform
A CDP that is part of the platform, not a project that precedes it.
Identity resolution, real-time unified profiles, computed traits and live audiences — built in, so the agents and every channel read the same customer you do.
The problem
A CDP you have to finish before you get value
Standalone CDP programmes often run for months — schema modelling, identity design, a data-engineering backlog — before a single campaign benefits. And when it ships, it is a separate copy of the customer that the campaign tool still has to be told about.
The value is not in owning a profile store. It is in a decision that can act on the customer as they are right now.
The approach
Every signal, resolved to one customer, in real time
Web, app, server, warehouse and offline events land on a single profile in seconds. No nightly job stands between an event and the decision that should follow it.
Streaming ingestion
SDKs for web and mobile, a server API, and warehouse and file sync. Events are on the profile in seconds, not on tomorrow’s batch.
Deterministic identity
Stitch anonymous and known identifiers across devices as they appear. Merges are reversible and every link is logged.
Computed traits
Recency, frequency, monetary value, predicted intent and lifecycle stage kept current, so a segment is a filter rather than a pipeline.
Live audiences
Audiences recompute as behaviour changes — someone qualifies or drops out the moment the underlying event fires.
How teams adopt it
Useful on week one, not after a data programme
- 01
Connect a source
Drop in the SDK or point a warehouse sync at it. The schema is inferred and editable; you are not blocked on a modelling exercise.
- 02
Confirm identity rules
Pick the identifiers that mean "same person" for your business. Sensible defaults are there to start from.
- 03
Build an audience
Compose traits and events into a live segment and hand it straight to an agent, a journey or a channel.
Composable option & governance
Packaged out of the box, warehouse-native when you want it
Profiles and audiences work immediately, and you can also sync modelled tables from Snowflake, BigQuery, Redshift or Databricks as the source of truth — GoEngage AI adds the real-time layer, the decisioning and the channels on top.
Consent is stored on the profile and enforced at send time. Retention windows are configurable per data category. Export and deletion run against the resolved profile so nothing is missed in a forgotten copy. Regional deployment keeps data in the geography you choose; sub-processors are disclosed in full.
FAQ
Questions teams ask
Do we need a CDP before we can use GoEngage AI?
No. The CDP is inside the platform. If you already run a separate CDP or a warehouse you can sync from it, but there is nothing to buy or stand up first.
Is this a packaged CDP or a composable one?
Both. Packaged profiles and audiences work out of the box; you can also make your warehouse the source of truth and sync modelled tables in.
How fresh are the profiles?
Streaming. Events reach the profile in seconds and audiences recompute against them immediately — which is what makes real-time decisioning possible.
Can we still use our BI tool?
Yes. Every event, decision and outcome streams back to your warehouse continuously, so numbers reconcile with the rest of the business.
See it decide on your data.
A short working session on your customers, your channels and one outcome you want to move. No slideware.