Drift helps businesses connect with people at the right time, in the right place, with the right conversation. Using an AI-powered Conversation Cloud, businesses can personalize experiences, in order to drive more quality pipeline, revenue, and lifelong customers.
N/A
IBM Watson Assistant
Score 8.7 out of 10
N/A
IBM offers Watson Assistant, an AI and natural language driven chatbot designed to allow anyone to deploy a chatbot in an app or website.
$0
per month
Pricing
Drift
IBM Watson Assistant
Editions & Modules
No answers on this topic
Lite
$0
per month
Plus
$140
per month
Enterprise
Contact for pricing
Offerings
Pricing Offerings
Drift
IBM Watson Assistant
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
No setup fee
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.
It is recommended for any company; it is a comprehensive tool for teams interested in strengthening business management and improving efficiency. It allows you to automatically schedule support with customers, thus saving a lot of time. Large companies can establish a chat and communication between potential customers, answering their questions quickly; allow you to monitor and track your leads and new leads, to make it fully functional, it has a very affordable value so that it can be used in all companies, it will not affect their economic aspects.
This is a platform that provides the ability to optimize customer service through virtual agents that understand, adapt and provide solutions to customer requirements. It is well suited to meet customer requirements, expanding responsiveness and improving our company's customer relationships. IBM Watson Assistant's ability to understand natural language provides high accuracy to understand the context and to provide the most accurate response in a timely manner. It also allows the creation of reports to evaluate performance and better understand the conversational traffic of virtual assistants
Easy to implement - we were up on our site in hours.
Increases the volume and quality of buyer conversations - visitors get to value faster and qualify themselves by chatting in.
Surfaces relevant experiences and content to people faster based on targeted use cases.
Brings your brand to the prospect experience to stand out in the market. For example, our mascot Ollie Llama welcoming visitors on the homepage with funny llama.
IBM Watson Assistant helps create virtual assistants in a matter of hours or days, depending on how simple or complex your workflows are.
IBM Watson Assistant has a great feature called "Actions" that allows technical and business users alike to create simple and advanced actions to help them create workflows to answer questions that clients might have with the option to regress back even when interrupted by other questions in the middle of the workflow in progress.
IBM Watson Assistant integrates nicely with several extensions, including not only Watson Discovery to benefit from the SearchSkill feature but also with a custom search using OpenAPI to allow for the assistant to answer questions from other data sources or the Internet in general.
Whenever there have been challenges with the product, the team has always been hungry to fix the issues that we raise.
In-platform reporting on conversion metrics can be improved. For example, it's not possible to report on business vs non business email capture rate (currently reported by our CSM every week), and to get the most detail about meetings that have been booked, you have to export data and review in Sheets/Excel. Drift responds quickly, and they're already working on this... so by the time you read this review, the reports will probably be fully functional in the platform.
IBM Watson simply works well for my organisation. We were able to design, build, and deploy a fully integrated chatbot in a matter of months. The basic building blocks (intents, skills, dialogue nodes, integration) are relatively straightforward for a technical developer to work with. The bot now supports retail customers in 3 different countries on both web and app based channels. We plan to further develop the bot to expand the way it interacts with customers through voice to text, and optical character recognition, as well as an improved UI.
The customer-facing usability is great, but managing drift from the back end can be challenging at times. This is mainly due to slow loading speeds when it comes to editing or viewing routing. Coupling this with no autosave function, changes are hard to make and can easily be lost.
Because this platform permits anyone to create a virtual assistant in no time, the new way to create bots action-based is a great idea because helps us to save time to understand how to create a virtual assistant. It has a great way to test your bot in the same frame where you create your bot.
The Drift team has been remarkably responsive to me. From support reps available in-app, to my account manager committed to my long-term success, to regular connections and interactions with their leadership team. They have been wholeheartedly committed to answering every question and solving every issue so that we can succeed as a team, and I can succeed as a marketer!
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!).
I have used a few different chat platforms, the most popular one being Intercom. They both have some similarities in functionalities and features. I have had more success with Drift and the calendar link/automation. I love the fact that a prospect can easily find my calendar link and book a demo without needing to speak with me.
IBM Watson is more affordable as compared to Lex, but that is not the only reason we switched to IBM Watson from Lex. Lex is comparatively less robust and takes more time in model training and sometimes the UI froze when we tried to implement a bunch of commands. IBM has just nailed it considering how fast and easy to use IBM Watson is.
