We have optimized the conversations widget to enable effective conversations between your customers and your agents. You can lead your customer service with your bot and route the conversation to the right agent in your team to offer contextual, empathetic, and personalized responses.
To start using the conversations widget, finish setting up your bot flows, navigate to Deploy > Deploy options > Conversations widget > Save
The conversations widget works best when you have configured Topics, FAQs, and agents who offer human support along with the bot’s capabilities for your customers.
Your customers to talk about their issues in their own words - enabling your agents to get the full context and speak human-to-human without being limited
Enable agents to access the customers' screens and help them remotely with CoBrowsing
Triggered push messages for visitors or targeting push messages for existing customers
Make use of any Topics that you've set up for your customers to get help from the right agent
FAQs with general instructions for your customers to try out before your agent steps in with specific suggestions
You can automate these features to help your customers have a better support experience, reduce the repetitive work of your agents, and ensure they are available to offer personalized help to your customers.
You can map your push campaigns to bots for them to take care of incoming responses
You can map specific Topics, not just to agent groups but also to your bots
Your bot can also learn from your FAQs and offer Answers to your customers
|NOTE||Some of Freshchat's features built for optimized self-service are unavailable with this widget meant for facilitating human conversations.|
We've noticed that the features mentioned are better used to facilitate human support through conversations instead of just automated chatbot interactions. With the conversations widget, we offer features that make conversations with human agents easier.
So if you use the conversations widget, you won’t get access to dropdowns, carousels, or rich text inputs, or certain chatbot-specific features such as client-side actions, quick actions, or define custom properties. We've taken all those self-service focussed features and packaged them into the self-service widget.