Marketing platform integrations
Fits the stack you already run.
Warehouses, commerce platforms, product analytics, support desks, ad platforms and channel providers — connected in, or synced both ways, with a full API behind everything the UI does.
The problem
A bespoke pipeline for every tool
Most engagement stacks are held together by point-to-point pipelines — one to move warehouse tables into the campaign tool, one to push audiences to an ad platform, one to pull orders from commerce. Each is a thing to maintain, and none of them close the loop back with what happened.
The approach
Connect what you have
Warehouses
Two-way sync with Snowflake, BigQuery, Redshift and Databricks. Model in the warehouse, act in GoEngage AI, send results back.
Commerce
Catalog, orders, carts and promotions from Shopify, commercetools and custom back ends.
Product & support
Product analytics events and support tickets as first-class signals on the profile.
Channels & ads
Bring your own WhatsApp BSP, ESP or SMS provider, and sync audiences to the major ad platforms.
API
Everything the UI does is available over the API
Ingestion, profile reads, audience membership, journey entry, offer issuance and decision logs are all exposed over a documented REST API with webhooks. Nothing in the product is UI-only, so your team can drive it from your own systems.
FAQ
Questions teams ask
Is this a reverse-ETL tool?
It includes warehouse sync in both directions, but the point is what happens next — decisioning and delivery — not just moving rows to SaaS tools.
How long does a typical integration take?
A first source and channel is usually live in days. Deep commerce and warehouse modelling depends on your schema, not the connector.
Can we keep our existing CDP or warehouse as the source of truth?
Yes. Point GoEngage AI at it and sync modelled tables in; it adds the real-time layer, decisioning and channels on top.
See it decide on your data.
A short working session on your customers, your channels and one outcome you want to move. No slideware.