IBM offers watsonx Assistant, an AI and natural language driven chatbot designed to allow anyone to deploy a chatbot in an app or website.
$0
per month
ManyChat
Score 7.9 out of 10
N/A
ManyChat headquartered in San Francisco provides their chatbot building platform to deploy Facebook messenger chatbots for support and service.
$10
per month
Pricing
IBM watsonx Assistant
ManyChat
Editions & Modules
Lite
$0
per month
Plus
$140
per month
Enterprise
Contact for pricing
500 Subscribers
$10.00
per month
1,000 Subscribers
$15.00
per month
2,500 Subscribers
$25.00
per month
5,000 Subscribers
$45.00
per month
10,000 Subscribers
$65.00
per month
15,000 Subscribers
$95.00
per month
20,000 Subscribers
$125.00
per month
25,000 Subscribers
$145.00
per month
25,001+ Subscribers
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Offerings
Pricing Offerings
IBM watsonx Assistant
ManyChat
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
Optional
Additional Details
Billing for the use of Watson Assistant is managed through an IBM Cloud® account. The metrics that are used for billing purposes differ based on the plan type. The plan can be billed based on the number of API calls made to a service instance or on the number of active users who interact with the instance.
IBM Watson Assistant is way more generic than ManyChat. It delivers more functionality and gives developers that flexibility to do whatever they want, pretty much. It is also way better in terms of natural language understanding and understanding concepts such as time, money, …
The UI is very clean which makes it easier to understand the product. Also, there are loads of documentation to learn more about how to use this tool for AI. When I was using Watson Studio, it was fairly well-integrated w/ Watson Cloud, allowing one to spin up infrastructure to …
In scenarios requiring highly specialized technical support, where deep domain expertise is necessary, a virtual assistant may lack the specific knowledge needed to address complex technical issues, It's important to note that the effectiveness of virtual assistants depends on factors such as the quality of training data, customization, and ongoing improvement efforts.
I found that ManyChat is a strong tool when receiving incoming messages, being able to create a tree of potential responses based on options given to the initiator. There is also a huge potential for complex automation (as long as the environment required by Facebook in order to send outgoing messages is maintained).
Watson Assistant requires some improvement in the way it deals with multimedia content when displayed on the assistant. As of now, IBM Watson Assistant has issues displaying technical diagrams on a small chat window. This is definitely something that needs some improvement.
It is sometimes hard and time-consuming to create some advanced actions while creating the virtual assistant so I suggest that the IBM Watson Assistant development team would work on creating sample templates for some simple to advanced actions according to industry to help kick-start the process of creating the initial virtual assistant.
IBM Watson Assistant is great, but it is not magic on its own; it requires more extensions which, in my opinion, are very limited to a few possibilities. Enhancing the extensions with other products, including open-source solutions, ought to be a priority for the Watson Assistant development team.
Honestly, the only thing I don't like about ManyChat is their support. It seems to be almost non existent. However, that concern is negated by having a fantastic user base that helps each other out on Facebook.
Currently we are using to develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library.
IBM Watson assistant has come a long way in last few years, and is handling the generative AI chatbot building really well. It is of immense importance to sales strategists like me who are average in coding but have real world cases of lead qualification for sales. IBM Watson is also very intuitively designed with the amazing drag and drop feature. Testing is easy, deployment is pretty straightforward. I could have worked with a little more sales support, but then the whole point of making a conversational AI chatbot is to reduce the sales support intervention - so I guess I will live with that
ManyChat is a great tool, provides loads of features, integrations and just saves you a whole load of time once all set up. If you aren't tech-savvy or used to how digital marketing tools work, it can appear complicated. That's how I felt initially 2 years ago, and after watching tutorials online I had a better understanding of it. This is why I rated it a 7, as it's not a tool that you can just play around with and guess how it works. There's definitely a learning curve with it so I recommend doing the free training and watching video tutorials.
To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.
We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).
There is room for improvement but frankly, we haven't had the need to request for support. Everything is pretty easy to setup and there are very useful video explanation guides and walkthroughs on ManyChat's YouTube channel. The only challenge we have had was to integrate it with Zapier, it's a bit tricky because you need to do a setup workaround first, but nothing too complicated.
IBM Watson Assistant provides a highly intuitive and user-friendly interface, making it accessible to non-technical users to easily create and deploy conversational agents. Additionally, being a cloud-based platform, it eliminates the need for manual retraining of the bot after each modification, saving time and resources for businesses. This combination of user-friendliness and automation makes watsonx Assistant an ideal choice for building conversational agents at scale.
I've worked in the past with Chatfuel. However, I decided to switch to ManyChat due to a variety of reasons. Overall, ManyChat offers much more functionality out of the box (e.g., Facebook comments tool), sequence builders are much more intuitive. Also, they provide flexible pay as you go pricing plan, which is perfect for a startup like us.
To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.
For the intended application, we experienced a negative ROI due to the inconsistency in the ability to maintain the automation without incoming responses. Since it is a free service that was meant to lead to paid services organically, the inconsistencies prevented the desired outcome.
We did experience a higher conversion rate with basic incoming messages with questions about services or products due to the ability to have pre-created responses and direction immediately supporting the prospect.
