How to choose a chatbot creation platform

 

The way people communicate in life, let alone business, has changed dramatically over the years. This is why organisations have turned to chatbot creation. So what are the criteria to consider when choosing the creation of a chatbot? This article will give you a better understanding of the 

 

Pricing models

Your budget is an important factor that can influence your choice of chat platform. Pricing models vary from webpage to webpage, and it is important to examine what they offer. Is the pricing model based on the number of messages sent by users, or on the number of site visitors and/or the number of accounts managed? Sometimes what seems like a low or reasonable price can go up considerably depending on the packaging and the little extras that add up as you use it.  Here are some features you should look for:

 

- CRM integration capabilities

- Integration with your marketing automation platform

- Chat routing

- Unlimited number of users

- Data enrichment capabilities

- Visitor information / IP address resolution

- Forms Integration

- Proactive sales messages

- Analytics

 

Integrations

In order to achieve the best results on a chat platform, it is important to have the right integrations in place. Marketing tools need to integrate easily with existing workflows so that data is passed to the CRM in real time. Without the right integrations, it won't be easy to deploy the platform.  You also need to ensure that your platform offers bi-directional integration and data flow. Systems that communicate with each other work better together. And that's good for accurate reporting, pipeline forecasting and overall performance.

 

Natural language and artificial intelligence capabilities

To get the most out of chatbots, you need to consider the natural language and artificial intelligence capabilities of the platforms. Do you want a fully deterministic system that operates according to rules, or one that can process free-form text?   The basic idea is that the AI technologies available today cannot, by themselves, be used in general situations. But beyond that, it is important to understand the scope of the AI platform's capabilities, as this will affect a number of other factors. For example, if you want an advanced ML/A system, the platform must be an enterprise conversation platform.