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Setting up an integration to Meta (Facebook) using templates

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Setting up an integration to Meta (Facebook) using templates

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February 21, 2023

Leadoo is fully integrated to Google Tag Manager, meaning that custom events can be triggered for every interaction any visitor does with Leadoo chatbots. Here’s how to implement Google Tag Manager to work with Leadoo.

1. Add your Google Tag Manager container ID to your Leadoo admin panel

You can find your GTM container ID after logging in to Tag Manager. Copy your GTM container ID.


GTM container ID Setting up an integration to Meta (Facebook) using templates

After that log in to app.leadoo.com/sign-in

Go to Conversion Kit -> General bot settings -> Advanced


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Add your GTM container ID to the Google Tag Manager Code field
*In most cases you can leave GTM data layer property field empty.

After this has been set your bots will start sending events.

2. Open Google Tag Manager

Click Admin

On the right hand side open Import Container


GTM import container Setting up an integration to Meta (Facebook) using templates

You can download the correct file from here.

Click Choose container file

Add Leadoo-FB-Qualified-lead-conversion.json file


GTM Import file 1 Setting up an integration to Meta (Facebook) using templates

Choose existing workplace

After this choose an import option. You can merge conflicting tags, triggers and variables

Submit new tags, triggers, variables and templates

Publish changes.

You’ve now connected Leadoo to your Meta Ads Manager

*Make sure you’ve connected your GTM and your Meta Ads Manager with Facebook pixel (https://www.facebook.com/business/help/1021909254506499)

Advanced users

More advanced Google Tag Manager users can also leverage the information sent over on the data layer. The following details can be used to create custom variables

category <- Bot type (embed, chat, cta, modal)
bot_category <- For each bot you can set a bot category on the Leadoo backend, this allows you to create for example separate analytics for sales and recruitment bots
label <- For each multi select answer you can create custom labels. These can be for example interest type of the customer
text <- Info of what text was written on the bot.
bot_name <- Name of the bot
bot_nickname <- Name given on bot settings

You can use these data layer variables to create more accurate retargeting groups and lookalike audiences

If you need any help setting up the integration you can contact [email protected]

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