Using the ActiveDEMAND AI Chatbot

If you are looking to engage with clients directly or via automation using web chat, ActiveDEMAND's web chat system has everything you need to engage with contacts via a Web Chat interface.

When Enabled, the Web Chat widget is deployed automatically using the tracking script on your website.

Setting up the tracking script for your website

Configuring The Web Chat Widget

The configuration of the Web Chat widget can be accessed under your Administration menu item

1. Appearance Tab
2. Enable/Disable the web chat (if enabled, it will automatically deploy using the tracking script)
3. Placement of the webchat on the website (left bottom or right bottom)
4. Name of the attendant 
5. The byline 
6. Brand (sets up the colors)
7. Chat visibility options
8. Avatar icon
9. Page visibility options

The web chat widget uses the selected brand's Button styles for the header color and the attendant message color. 

You can set up a greeting message and/or a sequence of form queries that users will see when they open the chat for a new engagement.

1. Starting Message
2. Starting form (optional)
3. Form Field Prompt
4. Add Form Field

Learn About Forms In Chats

Engaging with Contacts

You can either engage with prospects using:

• Direct Communication
• Automation

Direct Communication

To engage directly with prospects you can use the Conversations Inbox

Using the Communication Inbox

Automating Communication

There is a workflow action that can be used to automate engagement with contacts.

This workflow message, uses the in-process contact to define a message. It posts the message to the web chat widget for that contact. You can use dynamic terms to construct a message that uses the contact's state to deliver the right message

Setting Up Automation

You could consider creating a campaign sequence that uses a contact history = web chat message as a starting step:

The starting step you want is 'New Contact Activity'

And the query you want to use as the starting step is 'WebChatDiscussion'. This history type is created whenever a NEW conversation happens (initiated by either the prospect or an attendant). This history item is created, at most, 1 time per hour. Thus all messages that go on after the WebChatDiscussion will be captured with this history item.

You could then use ChatGPT to respond to the incoming query

This dynamic term would insert the last webchat message into your ChatGPT query

%CONTACT.RECENT_INCOMING_HISTORY(WEBCHATMESSAGE).COMMENTS%

Using a closed loop will ensure the contact does not leave the workflow and continues the conversation