---
title: Markin + MoEngage
url: https://markin.ai/integrations/moengage
category: Engagement and CRM
description: Connect Markin to MoEngage: write decisions as user attributes or events so existing push, in-app and email flows pick them up.
---

# Markin + MoEngage

> Per-customer decisions into mobile-first journeys.

**Job:** Decide the action; MoEngage keeps the mobile channel.

A Markin and MoEngage setup keeps MoEngage as the mobile-first channel and adds the decision behind it: Markin writes the chosen action as a user attribute or event, and MoEngage keeps push, in-app and messaging governance.

Mobile-first bases are contacted often and cheaply, which is exactly where deciding not to contact has measurable value. Markin supplies intent; MoEngage keeps delivery, caps and consent.

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

- What are the best MoEngage alternatives for decisioning?
- How do I choose which push notification is worth sending?
- Can MoEngage campaigns be driven by an external decision layer?
- How do I reduce push fatigue without losing revenue?

## What Markin does in MoEngage

- Read user attributes, segments and campaign exposure.
- Read push, in-app and email engagement events.
- Model fatigue and suppress contacts with negative expected value.
- Write the chosen action and reason as a user attribute.
- Emit events that trigger the matching campaign.
- Hold back a randomised control per action.
- Read conversions back keyed to the decision ID.
- Report incremental revenue per channel.

## The growth work behind MoEngage

### Read the estate

- Derive behavioural features from event history without a new pipeline.
- Reconcile the same customer across billing, CRM, product and support identities.

### Find where revenue is leaking

- Detect churn risk building in a segment before it shows in the monthly number.
- Detect involuntary churn from failed payments, card expiry and retry behaviour.

### Explain why

- Show the counter-evidence, not only the supporting cut.
- Keep the query trail so an analyst can reproduce every number.

### Write hypotheses worth funding

- Keep the full portfolio visible, including what was deliberately not funded.
- Write hypotheses continuously across marketing, product, pricing and technical health.

### Decide per customer

- Attach a plain-language reason and an expiry to every decision.
- Suppress an action rather than send a weak one, and log why.

### Execute in the tools you already run

- Recompute idempotently so a replay never double-sends.
- Roll a decision batch back cleanly when something looks wrong.

### Prove it caused the revenue

- Report retention, ARPU, margin and contact pressure side by side.
- Detect and discount cannibalisation between competing actions.

### Retire, govern and hand over

- Keep personal data in your systems and act on it in place.
- Show the whole decision trail when legal, finance or an auditor asks.

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 MoEngage

- User attributes and segment membership
- Push, in-app and email engagement events

## What Markin writes back

- User attributes with the committed action
- Custom events that trigger flows

## Used together with

- [segment](https://markin.ai/integrations/segment)
- [amplitude](https://markin.ai/integrations/amplitude)
- [stripe](https://markin.ai/integrations/stripe)
- [snowflake](https://markin.ai/integrations/snowflake)
- [web-and-mobile-sdk](https://markin.ai/integrations/web-and-mobile-sdk)
- [braze](https://markin.ai/integrations/braze)

## Related

- [Solution: lifecycle-automation](https://markin.ai/solutions/lifecycle-automation)
- [Solution: churn-prevention](https://markin.ai/solutions/churn-prevention)
- [Comparison](https://markin.ai/compare/markin-and-moengage)

## FAQ

**How does Markin connect to MoEngage?**

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 MoEngage?**

User attributes and segment membership; Push, in-app and email engagement events.

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

User attributes with the committed action Custom events that trigger flows

**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/moengage