---
title: Markin + RudderStack
url: https://markin.ai/integrations/rudderstack
category: CDPs and activation pipelines
description: Connect Markin to RudderStack: consume warehouse-native event streams and write decisions back for downstream activation.
---

# Markin + RudderStack

> Warehouse-native events in, decisions back out.

**Job:** Add decisions to a warehouse-native event pipeline.

A Markin and RudderStack setup fits warehouse-first estates: Markin consumes warehouse-native event streams and profiles, decides the next action per customer, and writes decision traits and trigger events back to the same place the data already lives.

For teams that keep the warehouse as the system of record, Markin fits the same shape: it reads where the data already is and writes decisions to the same place.

## What can you ask Markin to do in RudderStack?

- How do I add decisioning to RudderStack?
- Can I keep the warehouse as the system of record and still personalise?
- How do I turn RudderStack events into retention actions?
- What is warehouse-native decisioning?

## What Markin does in RudderStack

- Read event streams and warehouse-native profiles.
- Read consent and subscription state before deciding.
- Build behavioural features from the events already collected.
- Write decision traits back for downstream destinations.
- Emit trigger events for time-sensitive moments.
- Maintain holdout membership in the warehouse.
- Write experiment reads next to the raw events.
- Keep every artefact inside your own infrastructure.

## The growth work behind RudderStack

### Read the estate

- Flag data quality breaks that would make a decision unsafe.
- Map every customer, account, subscription and plan in the systems you already run.

### Find where revenue is leaking

- Spot channels and campaigns spending into audiences that would have converted anyway.
- Size every finding in revenue, not in percentage points.

### Explain why

- Separate mix effects from real behaviour change.
- Rank drivers by how much of the movement each one accounts for.

### Write hypotheses worth funding

- Attach the evidence and the assumption each one depends on.
- Rank the portfolio by expected value, not by seniority.

### Decide per customer

- Respect eligibility, consent, locale and channel preference.
- Pick the channel, timing and incentive level, not only the message.

### Execute in the tools you already run

- Update audiences, lists and segments without hand-built rules.
- Route offers, retention plays and save flows to the right surface.

### Prove it caused the revenue

- Read uplift in revenue per customer against that control.
- Report retention, ARPU, margin and contact pressure side by side.

### Retire, govern and hand over

- Retire programmes automatically when they stop beating control.
- Re-test assumptions that decay, such as price sensitivity and seasonality.

Full catalogue: [Everything a growth team does, running every day.](https://markin.ai/growth-work)

## Activation patterns

- **Attribute write-back.** Markin writes the decision onto the customer profile; your existing journeys read it as an entry condition. Latency is the platform's sync interval.
- **Triggered event.** Markin emits an event that starts or advances a journey. Near-immediate, and the channel keeps its own governance.

## What Markin reads from RudderStack

- Event streams and warehouse-native profiles

## What Markin writes back

- Decision traits and trigger events

## Used together with

- [snowflake](https://markin.ai/integrations/snowflake)
- [bigquery](https://markin.ai/integrations/bigquery)
- [braze](https://markin.ai/integrations/braze)
- [customer-io](https://markin.ai/integrations/customer-io)
- [amplitude](https://markin.ai/integrations/amplitude)
- [stripe](https://markin.ai/integrations/stripe)

## Related

- [Solution: lifecycle-automation](https://markin.ai/solutions/lifecycle-automation)

## FAQ

**How does Markin connect to RudderStack?**

Attribute write-back, Triggered event. Markin writes the decision onto the customer profile; your existing journeys read it as an entry condition. Latency is the platform's sync interval.

**What does Markin read from RudderStack?**

Event streams and warehouse-native profiles.

**What does Markin write back into RudderStack?**

Decision traits and trigger events

**Do we have to move our data to Markin?**

No. Markin reads from your warehouse, product events and operational systems in place, on your compute, under the access rules your data team already set. Nothing is copied into a separate customer base and there is no vendor-side profile store to migrate off later.

**Does Markin replace our engagement platform or CDP?**

No, and it should not. Your engagement platform keeps the channel, the templates, the deliverability and the governance. Your CDP keeps identity and consent. Markin adds the layer neither has: deciding which action deserves to exist for each customer, and proving it against a holdout.

**What if the system we use is not listed?**

The four activation patterns cover almost everything: attribute write-back, triggered event, decision API and direct surface rendering. Any system that exposes an API, accepts a table, or can read a warehouse column can receive decisions. New connectors are built during deployment, typically in days.

Source: https://markin.ai/integrations/rudderstack