# Integrations

The Booking Engine Widget supports direct integration with [Google Tag Manager](https://marketingplatform.google.com/about/tag-manager/) and [Google Analytics](https://marketingplatform.google.com/about/analytics/). The integration with Google Tag Manager is intended only to serve data to Google Analytics.

> #### 🚨 Disclaimer regarding Google Analytics data accuracy
>
> We understand that some property owners have expressed concerns about discrepancies between the data they see in Google Analytics (GA) and the actual reality. It’s essential to be aware of the following factors:
>
> **Ad Blockers impact**
>
> * Approximately 33% of internet users utilize ad blockers, which can block Google Analytics and Google Tag Manager (GTM) scripts. See for example this article for a reference: <https://backlinko.com/ad-blockers-users>.
> * Consequently, the data received from these services may not be 100% accurate.
> * Metrics such as revenue and the number of bookings may appear lower than the actual figures, due to ad-blocking behavior.
>
> **Consent and tracking**
>
> * If a guest declines cookies or tracking, their interactions won’t be tracked in Google Analytics.
>
> Please remember to address these considerations when interpreting GA data and making business decisions.

* [Google Tag Manager](/booking-engine-guide/integrations/google-tag-manager.md)
* [Google Triggers Reference](/booking-engine-guide/integrations/google-triggers-reference.md)
* [Google Tag Manager - Configuration](/booking-engine-guide/integrations/gtm-skeleton.md)
* [Google Analytics cross-domain tracking](/booking-engine-guide/integrations/ga-cross-domain-tracking.md)


---

# 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://docs.mews.com/booking-engine-guide/integrations.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.
