---
title: Markin + Meta Ads
url: https://markin.ai/integrations/meta-ads
category: Paid media and audiences
description: Connect Markin to Meta Ads: build custom audiences from expected incremental value and suppress spend that adds nothing.
---

# Markin + Meta Ads

> Audiences sized by expected incremental value.

**Job:** Spend paid reach only where it changes the outcome.

A Markin and Meta Ads setup writes decided audience membership for retention and win-back campaigns, keeping paid reach for the customers where it changes the outcome and out of the ones where it does not.

An audience is a decision about who is worth reaching. Making it from uplift rather than from a lookalike changes the economics of the same budget.

## What can you ask Markin to do in Meta Ads?

- How do I build a win-back audience for Meta Ads from first-party data?
- How do I avoid paying to retarget loyal customers?
- How do I measure incremental revenue from Meta campaigns?
- Should I retarget churned customers or email them?

## What Markin does in Meta Ads

- Read campaign delivery and conversion data.
- Estimate incremental value per customer per channel.
- Choose between paid reach and an owned channel by cost.
- Write Custom Audience membership with consent respected.
- Keep the randomised holdout out of every audience.
- Retire audiences whose incremental read is flat.
- Read conversions back keyed to the decision ID.
- Report incremental revenue per euro of spend.

## The growth work behind Meta Ads

### Read the estate

- Read contact history so past sends count as pressure on the customer.
- Track catalogue, pricing and plan changes as they happen.

### Find where revenue is leaking

- Spot pricing and packaging mismatch between what people buy and what they use.
- Spot product friction that correlates with downgrade and cancellation.

### Explain why

- Keep the query trail so an analyst can reproduce every number.
- Run the investigation automatically and return the drivers with their evidence.

### Write hypotheses worth funding

- Write hypotheses continuously across marketing, product, pricing and technical health.
- Attach the expected revenue effect and the population it applies to.

### Decide per customer

- Arbitrate between every action competing for that same customer.
- Apply frequency caps, fatigue and quiet hours before anything is committed.

### Execute in the tools you already run

- Write decisions into the CRM, engagement and warehouse systems already in production.
- Trigger journeys and campaigns that your lifecycle team owns and can edit.

### Prove it caused the revenue

- Detect and discount cannibalisation between competing actions.
- Stop an experiment early when the evidence is conclusive either way.

### Retire, govern and hand over

- Show the whole decision trail when legal, finance or an auditor asks.
- Hand the team a portfolio they can read, question and overrule.

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.

## What Markin reads from Meta Ads

- Ad exposure and conversion exports

## What Markin writes back

- Custom audiences for expansion and suppression

## Used together with

- [google-ads](https://markin.ai/integrations/google-ads)
- [shopify](https://markin.ai/integrations/shopify)
- [klaviyo](https://markin.ai/integrations/klaviyo)
- [segment](https://markin.ai/integrations/segment)
- [bigquery](https://markin.ai/integrations/bigquery)
- [ga4](https://markin.ai/integrations/ga4)

## Related

- [Solution: revenue-expansion](https://markin.ai/solutions/revenue-expansion)

## FAQ

**How does Markin connect to Meta Ads?**

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.

**What does Markin read from Meta Ads?**

Ad exposure and conversion exports.

**What does Markin write back into Meta Ads?**

Custom audiences for expansion and suppression

**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/meta-ads