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
MobileMonkey
Score 8.0 out of 10
N/A
MobileMonkey, headquartered in Boston, offers their social media messaging marketing tool to marketers and agencies, featuring chatbots, landing page creation, integration with social ads, and an emphasis on Facebook. They offer a free plan and a paid plan with more advanced features (e.g. bot analytics, drip campaigns, etc.). MobileMonkey acquired ChattyPeople to extend their chatbot building capabilities.
$21.75
per month
Pricing
IBM watsonx Assistant
MobileMonkey
Editions & Modules
Lite
$0
per month
Plus
$140
per month
Enterprise
Contact for pricing
Pro
$21.75
per month
Unicorn
$51.00
per month
Team
$299.00
per month
Offerings
Pricing Offerings
IBM watsonx Assistant
MobileMonkey
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
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.
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.
MobileMonkey would be great if you have a really strong social media presence and want to capitalize on people visiting your pages. It's great if you have a tech friendly audience who is not afraid to talk to a chatbot. If you have an audience where they might be uncomfortable or more of an "uptight" audience then it might not be fore you. It's also not great for heavy B2B if your focus is on high level targets as they're likely not logged in to Facebook at work. B2C is probably the best function for MobileMonkey, although it could be used to help field support messages.
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.
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
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!).
MobileMonkey support is second to none when you have a paid plan. Always willing to help and make your life a lot easier when you're facing any technical difficulties or frustrations. When I was on the free plan, I found plenty of useful resources that helped me solve my problems, and I could still contact support for help.
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.
MobileMonkey is a lot less expensive than both Olark and Drift. We chose MobileMonkey because we were hoping the familiar interface and integration between social and the website would drive more interest which would lead to conversion and revenue. It's more of a chatbot than Intercom in that Intercom is really good for customer support, but MM is a nice way to get people interested by sharing high level data through a conversation that doesn't require a real person. However, Olark, Drift, and Intercom all integrate with the major CRMs and marketing automation platforms which gives them a real edge over MobileMonkey at this time.
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.
