# Adobe Marketo Engage

## Overview

[Marketo](https://business.adobe.com/products/marketo/adobe-marketo.html) is a marketing automation platform that enables businesses to streamline and optimize their marketing processes, including lead management, email marketing, and campaign analytics.

## Trigger Lob mailpieces from Marketo with webhooks

{% embed url="<https://fast.wistia.com/embed/medias/lncnmqf5bn.jsonp>" %}

### Create a Lob webhook within your Marketo instance.&#x20;

* See [Marketo documentation on how to create a webhook](https://experienceleague.adobe.com/docs/marketo/using/product-docs/administration/additional-integrations/create-a-webhook.html?lang=en).
* Keep in mind:&#x20;

1\) The URL you enter for this webhook is going to be Lob's API endpoint for the resource that you're trying to create (e.g., postcard).

2\) Choose JSON as the response type for passing Lob parameters and creative data.&#x20;

* You can copy and paste the JSON from Lob’s API documentation.
* In the JSON, pass Lob parameters for the recipient name and address, mapped from Marketo.
* Include creative data for the content you want to send.

### Incorporate Webhhook into a Campaign:

* Add the webhook to a campaign in Marketo.
* Define trigger conditions for when the webhook should be activated.
* Example Campaign: Create a campaign to send a Lob postcard when a specific attribute (e.g., person score) changes. For instance, if a person's score changes to zero, trigger the Lob postcard webhook.

{% hint style="info" %}
For more detailed assistance, reach out to your Lob connection for personalized guidance on connecting Marketo and Lob.
{% endhint %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://help.lob.com/print-and-mail/integrations/api-integrations/adobe-marketo-engage.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
